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His Creative Business Has Made $2.5 Million and Can’t Be Replaced By AI: 'Price Continues to Go Up'
Tyler Loftis is on a mission to make art more accessible.
'Can’t Believe I’m Actually Doing This': Klatt Becomes Voice Of College Football 27
Our team at FOX Sports caught up with Joel Klatt to get a behind-the-scenes look at how he became the new voice of EA Sports College Football 27.
More than a Perk: 401(k)s are a Benefit Small Business Leaders Can’t Afford to Ignore
Two leaders discuss how automation, transparency, and smarter pricing for 401(k) plans are changing the game for employers looking for a competitive advantage.
Baton Rouge General's Health Tip of the Week: How health overconfidence is hurting men
Sponsored by Baton Rouge General A recent poll found that 65% of men believe they’re healthier than other men. Statistically, that can’t be true, but it may explain why so many skip preventive care. The reality is that conditions like high blood pressure, diabetes, heart disease, and some cancers can develop without obvious symptoms. That’s […]
Brewers can’t keep up with Athletics, lose 7-5
The Athletics kept mashing home runs, hitting five more compared to the Brewers’ one
A Scientific Achievement That’s Totally Random
Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.
Nomad’s best Qi2 25W wireless charger just got a transparent version, and I can’t stop looking at it
The Stand One charger from Nomad got a massive visual upgrade that leaves the view of the Qi2 wireless charging...
The Science Of Vitamin Patches: Do They Work And Are They Worth Your Money?
Some medicines can be successfully delivered by skin patch. Quite a lot can’t.
From Classroom to Racetrack: How Charlie Baur is Building a Motorsports Career in a Business Discipline
Charlie Baur can trace his racing story back to a Christmas morning in Michigan — the kind that starts with snow on the ground and ends with a throttle in a kid’s hands. “I remember being 3 years old and then for Christmas that year, my parents had gotten me a 120 cc snowmobile,” Baur said. Long before sprint cars, he was a Michigan kid on snowmobiles, dirt bikes, four-wheelers and jet skis — and a regular at car shows and races with his family. Photo courtesy of Charlie Baur That early exposure became a calling. At 12, he sat in a sprint car for the first time and knew he’d found the next chapter. He started in quarter midgets, moved to go-karts, and the day before he turned 16 — one day shy of the minimum age required by track insurance — he made his first sprint car start after convincing officials to let him race. Five years later, Baur is still pushing forward, now racing sprint cars on both pavement and dirt while pursuing an automotive business education at Northwood University — with a clear-eyed understanding that motorsports encompasses more than what happens under the lights on Saturday night. “It’s a business,” said Charlie, a 20-year-old who calls Fenton, Michigan, home when he’s not at a racetrack or at Northwood’s residential campus in Midland, Michigan. Photo courtesy of Charlie Baur Racing is the product — but preparation is the job To the average fan, race day begins around dinner time. For a team, race day can be a 12-hour shift — plus the work that came before it. And Baur’s racing operation is a family affair. “The team is my parents and myself,” he said, explaining they own the cars, maintain equipment and manage the business side — from sponsor relations to budgeting. On race weekends, the core group includes Baur and his parents (Eric and Stefanie), plus a couple of additional hands (Alex Photiou and Robert Flannigan) who help with the intensity and pace of trackside work. That structure has shaped how he thinks about efficiency and professionalism. “We’ve always kind of had the mentality of we’re never working on the car for maintenance at the track,” he said. “Our goal is to do as little work as possible to the car because it should be ready when that car rolls out of the trailer to go racing.” That mindset shows up in routines: bolt checks, tire procedures, safety equipment and a repeatable process designed to limit errors. “Once I fire the car up and put my helmet on, that’s when it’s go time,” he said. “You can plan as much as possible for how the race is going to play out, but until you take the green flag … you don’t know how it’s going to go.” Photo courtesy of Charlie Baur First-generation driver, student of the game In racing, “first-generation” matters — and Baur wears that label with pride. “A lot of the drivers are third or fourth generation,” he said. “My family has never been in motorsports. So for me, we’ve always looked at it as we’re new to it and we want to be as different as possible. From a marketing standpoint, it helps us stand out.” It also pushes him to seek out mentors — especially veteran drivers who have seen every scenario, solved every problem and won in multiple eras. Baur credits accomplished driver Jason Blonde, a 10-time champion, for becoming his driver coach and helping him develop as a competitor. “To me, learning from Jason helps me because he has had lots of success and knows what to do,” Baur said. “You have to humble yourself and say, ‘I don’t know what to do; can you help me out?’” That willingness to learn extends off the track, too. Baur says one of his biggest challenges is not a mechanical limitation, but credibility. “It’s my age,” he said. “Some people won’t take me seriously because I’m so young. Even though … I do know what we’re talking about and have a general idea.” His answer has been to out-prepare, out-communicate and treat the operation like a real enterprise — because it is. Photo courtesy of Charlie Baur Northwood’s role: Turning passion into a plan Baur is majoring in automotive aftermarket management and pursuing an accelerated path that pairs undergraduate study with graduate work. He’s also exploring how to align his studies with motorsports-focused coursework as Northwood advances related programs and pathways. He sees the value clearly: motorsports needs business-literate professionals who understand budgets, sponsorship, marketing, operations and long-term strategy — and who can translate between the language of the shop and the language of the boardroom. That’s why his Northwood experience isn’t limited to the classroom. He has been involved with the Northwood University International Auto Show and serves as motorsports chair — a leadership role that demands outreach, contracts, coordination and a steady professional demeanor. “There’s so much outside work that makes the auto show successful that people don’t realize,” he said. “And it is truly student led.” He’s also participated in industry experiences through Northwood at major events such as AAPEX, SEMA and PRI, along with other automotive networking events — opportunities he describes as a fast track to understanding how business really gets done. “You learn a lot in the classroom,” he said. “But if you learn it and you can’t apply it to the real world, it loses its value. Or if you learn it and can apply it, but you don’t know anyone, it is still of no value.” In his words, Northwood helps him win because it “gives me the tools to succeed” — including flexibility and faculty support as he balances travel and racing commitments with academics. Photo courtesy of Charlie Baur Racing as an ecosystem — and a talent gap waiting to be filled Baur is blunt about what he sees across the motorsports world: a deep bench of experienced professionals, and not enough young talent entering the pipeline. “I go to car shows, I go to these different events, and typically … the average age is between 45 to 55,” he said. “There’s not a lot of young people going into the motorsports world.” That reality reinforces Northwood’s communications focus: positioning motorsports not as a narrow lane, but as a wide ecosystem of business careers — sponsorship, logistics, data, media, leadership, hospitality and innovation — with real demand for prepared graduates. It also shapes how Baur talks to younger students who love racing but aren’t sure what their future looks like. “If you have a passion for motorsports, there’s gonna be a spot for you somewhere,” he said, emphasizing that driving is only one of many career paths — and that local tracks and hands-on experience are often the best first step. But if someone is interested in driving as a career path, it will take a team to make that happen. Baur’s team includes Stahl’s Motors and Music Experience, Rhino Racing, Randy Wise Buick GMC Chevrolet, Western Michigan Fleet Parts, Mother’s Polish, Schaeffer’s Oil, Hepfner Racing Products, Ameriguard Storage Centers, Justice Brothers, Race 1 Wraps, TBM Brakes, Behind Your Design, CharlieBaur.com and Northwood University. “There are so many people who invest not only in myself but in my race team and who believe in us to succeed,” he added. Pictured: Charlie Bauer’s sprint race car. Looking ahead: A headline worth chasing Ask Baur to imagine 2035, and he’ll give you two answers — one dream, one blueprint. “In a perfect world,” he said, “winning the Indy 500.” Realistically, he wants to build a life where business ownership and racing reinforce each other and where he can pay forward the help he has received by mentoring younger drivers, especially those trying to break into motorsports without a family legacy. “When I retire from full-time racing, I want to be able to provide the same opportunities that were presented to myself to the next generation of drivers,” Baur said. “I know how difficult it is to get your foot in the door.” For now, the focus is simple: keep building the operation, keep learning the business, and keep showing up prepared — because in sprint car racing, as in life, process matters. And once the helmet goes on? “It’s go time,” Baur said. Photo courtesy of Charlie Baur Learn more Students interested in motorsports careers — whether in competition, team operations, marketing, finance, sponsorship, data, or management — can explore opportunities through Northwood University’s Center for Automotive and Mobility Studies. For Charlie Baur’s latest motorsports adventures, follow Charlie_Baur and Charlie Baur Racing on social media. To learn more about Northwood’s Bachelor of Business Administration in Automotive and Mobility Studies and motorsports management concentration, visit www.northwood.edu/programs/automotive-mobility-studies/. Photo courtesy of Charlie Baur Pictured: Charlie Baur at Butler Motor Speedway on May 31, 2026. Share this page
The iOS 27 Beta Pretty Much Confirms That An Apple Foldable Is Happening
Can’t a multi-trillion-dollar company have secrets any more?
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Options for the Tigers to replace Jahmai Jones
It’s time to re-work the bench and stop wasting a roster spot on a guy who can’t do the one thing he’s here to do.
Clockwork Revolution: Burlesque, Bullets, and Butterfly Effects
On behalf of the team at inXile entertainment, I’m thrilled to share more of Clockwork Revolution — our time-bending first-person action RPG set in the steampunk city of Avalon, with a cast of unforgettable characters, and a world that reacts deeply to every choice you make. We’re hard at work on the game and can’t wait for you to play it next year.
These 5 Places Are So Hot Scientists Still Can’t Explain Their Temperatures - Futura-Sciences
Where the Heat Breaks All the Rules There are places around the world where temperatures can spike to absolutely mind-boggling levels. In these isolated regions, air temperatures can hit and even exceed 122°F (50°C). It’s not just a dry heat—it’s the kind of sizzle that keeps meteorologists on alert. Here’s...
Samsung Galaxy S26 Ultra review: After four months of testing, I can’t part with it
Samsung Galaxy S26 Ultra is the best showcase of consistent excellence and a solid return to innovative streak, despite not being the beefiest warrior in the Android ecosystem.
World Ocean Day Celebration at Seacoast Science Center
For Seacoast Science Center, this year marks a remarkable 35 years of providing outstanding coastal and ocean education at Odiorne Point State Park along the New Hampshire seacoast! World Ocean Day, a global celebration that honors our one shared ocean, presents the perfect opportunity for us to invite our community to come together and celebrate the ocean that connects us all.On June 20th, the Center will host its flagship World Ocean Day celebration from 10 AM to 2 PM. Enjoy hands-on games, educational activities, naturalist-led tide pooling sessions, music, and much more! You’ll also have the opportunity to meet local scientists, divers, artists, and conservationists who are dedicated to safeguarding our one world ocean. See the schedule and the organizations joining us on our event web page: https://www.seacoastsciencecenter.org/world-ocean-dayWe can’t wait to see you by the coast for learning, discovery, and plenty of fun, all aimed at inspiring the conservation of our Blue Planet!
Tom Leek backs Jennifer Winkler in open HD 74 race
'I can’t wait to partner with him in Tallahassee,' Winkler said.
Lars Nootbaar’s Return Gives Cardinals Something Stats Can’t Track
We now know that the St. Louis Cardinals will finally have Lars Nootbaar back in the Major League lineup as he’s being activated for the homestand versus the Cincinnati Reds starting Friday night. There’s been a lot of discussion about what that will mean for the roster moving forward, but I’d like to focus on […]
‘The next China is still China’: McKinsey’s Joe Ngai and Nick Leung on why global business can’t write off the Chinese economy
“You can’t find another China. There’s no other China out there now," Greater China chair Joe Ngai says.
Scientists have long said we can’t multitask. A new study says we can
‘This is unlocking a whole new set of questions,’ one researcher said
The Master’s In Business Analytics Built For The Question AI Can’t Answer
Data jobs are growing. AI is raising the bar. Here’s how the Darla Moore MSBA prepares graduates for the analytics careers of tomorrow.
Packers: Why Josh Sweat Trade Can’t Be Ruled Out
The Green Bay Packers do have reasons to trade for Arizona Cardinals pass-rusher Josh Sweat this offseason.
Future of mental health treatment, California bank standoff, monkeypox scandal | FOX 10 Talks
Join FOX 10 Anchor Brian Webb and Executive Producer Trenton Hooker for a fast-paced, can’t-miss breakdown of the biggest stories making headlines right now.
‘I can’t keep this up’: Sebastopol BBQ owner looks for path forward amid enforcement, complaints
A&M BBQ pitmaster Kris Austin is driving 30 miles a day in his diesel truck to shuttle food from his commercial smokers to his restaurant in order to comply with Sebastopol’s zoning code.
Amazon’s search bar will invent AI-generated products you can’t buy
You can search for products that look like the fake images.
The cult of objectivity has broken consciousness science
With 22 competing theories and no consensus in sight, the science of consciousness is lost. In this exclusive IAI interview, Berkeley psychedelics researcher and bestselling author of a new book on consciousness Michael Pollan insists that even though consciousness lies beyond traditional forms of scientific investigation, we should resist becoming dualists who see it as something radically different from ordinary stuff in the world. Instead, he makes the case for reimagining science itself: it must stop reaching for objective descriptions of physical reality, and instead embrace subjectivity as the indispensable core of all inquiry. Alasdair Craig: How did your experiences with psychedelics get you interested in consciousness?Michael Pollan: One of the things that happens on psychedelics is that they foreground consciousness. What formerly seemed perfectly transparent and ever present—and yet, non-existent, as water is to fish—suddenly you see it. The metaphor I use in the book is that psychedelics sponge the windscreen. Suddenly you realize: wow, there’s a windscreen, there is this phenomenon that’s mediating my relationship to reality. This is not an unusual realization on psychedelics. I think a lot of people are called to think about consciousness after psychedelic experiences. So that was the proximate inspiration for A World Appears: A Journey Into Consciousness (2026).And then there was a more specific way in which psychedelics influence the book. That was a particular experience I had on psilocybin. I had the sensation that the plants in my garden were conscious and returning my gaze, with their own point of view and agency, and I got curious as to how to evaluate an insight like that. I mean, what’s the truth quotient of insights you have on psychedelics? And I was reading William James—who, of course, wrote beautifully about mystical experience—and he said, we can’t judge the metaphysics here, but we should pay attention to two criteria: (1) How useful is it to think this is true? He was a pragmatist, of course. And (2) can we subject it to other ways of knowing to validate it? Because maybe we should treat these insights as hypotheses. And that’s kind of how I approach psychedelics, as a great generator of hypotheses, but they need to be tested against other ways of knowing. And so that led me down this long path exploring the science of plant intelligence and plant sentience.AC: I love your phrase, “smudging the windowpane of conscious experience.” So do you now start to think, actually, even when I’m not on psychedelics, I’m just seeing a screen all the time, which is not reality, but rather is my conscious experience, behind which reality is hidden?MP: Well, you know, not when I’m brushing my teeth and making breakfast! But yes, in meditation, certainly. I mean, one of the things you realize is that my experience happens to be this way now, but it could be another way. And many things can affect it. My morning coffee changes the screen in various ways, sharpens certain things.___The only tool we have to understand consciousness is consciousness.___There’s this wonderful metaphor in Aldous Huxley’s book, The Doors of Perception, where he thinks we channel consciousness, and that what the brain does is edit it, and there’s a reducing valve. And psychedelics open the reducing valve wider. I don’t know that I’m ready to buy into the idea that consciousness exists outside brains, but I do love that metaphor because there are times when you are more conscious than others. I know I’ve switched from window pane to valve, but you know, a camera aperture can open wider or narrower. And I do have a sense of that. I have a sense of when I’m being less conscious, and when I’m being more conscious, by which I mean, you know, more present, taking in more sensory information. So when you start thinking about consciousness as a matter of degree, that changes things also.I think when we scroll on social media, obviously, we’re conscious. But minimally so, because we don’t have to generate our own thoughts. We’re basically taking these little hits from other people and thinking their thoughts.The process of writing this book made me kind of relativize everyday consciousness as just one type, which is exactly what William James said. Normal consciousness is one type, separated by the flimsiest of screens from the other types.AC: If we stick with the metaphor of the smudge on the window that you get when you take psychedelics, it seems like we’re saying that consciousness has become like an object that you’re looking at, right? You’re looking at the smudge and that just is consciousness. But sometimes we’ll talk about consciousness as a state that you’re in, rather than an object you can perceive. You’re either conscious or you’re not conscious. So it’s difficult to really know what sort of thing we’re talking about when we talk about consciousness, right?MP: Yeah. When you say that consciousness is an object, what’s the subject? Consciousness also? The only tool we have to understand consciousness is consciousness. So we’re in a closed loop and when we get a perspective on consciousness, we’re not achieving any distance from it. That’s one of the problems with studying consciousness. Science is predicated on an objective, God’s eye view of things, and you never get that. There’s no such thing. SUGGESTED VIEWING The brain filters consciousness With Àlex Gómez-Marín But, yeah, there is this sense, I think, that consciousness is something you can approach. Certainly, when you’re writing and trying to recreate a conscious experience, it’s a fiction, but you’re standing back from it, and looking at it. But there’s no real subject-object distinction.AC: That’s so interesting, because when philosophers start talking about consciousness, they often talk about what they call “qualia”, which is their word for the felt experience of, say, the color red. And I think that way of speaking often makes us think of the qualia as an object, which you can see out there: the redness of red. But, as you say, we also want to collapse the subject-object distinction when we talk about consciousness. So there’s something strange going on here…MP: Oh, yeah, there are many strange things going on! *AC: Let’s talk about the varieties of consciousness. Apart from perceptions, there are, pains, emotions, thoughts, and so on. What is it that holds all this diversity together so that they all count as instances of consciousness? What is it that they all have in common?MP: Yeah, that’s a really good question. I mean, there is sensory information, right? Which we perceive coming from the world outside ourselves. And then there’s internal information, which is what’s called interoception. And this is very important too. This is where feelings come from—what are sometimes called homeostatic feelings—that are intended to get the brain to keep us in these narrow ranges of temperature and glucose and so on. That’s a very important part of consciousness. And according to some researchers, who I think are probably right, this is where consciousness begins, with these very primal feelings, like hunger and thirst and warmth and itch, and things like that. And then there’s this third thing, which is our thinking about thinking.And what holds all this together is, I think, the sense of self. Consciousness generates a self: it is probably an organizing principle. All this stuff is happening to the self. It’s a construct, I think, but it is very useful. It can connect all these different streams of consciousness to a single being or a place, metaphorically speaking.* AC: The first half of your book is about the science of consciousness. Is consciousness just another thing, like black holes or the origin of life, which we don’t yet understand, but which we should have every hope that science will one day get to the bottom of, or is there something special about consciousness that makes this unlikely?MP: It depends how you define science. As we define science now, it’s going be very difficult. Science since Galileo has had a set of rules or assumptions, which is that the proper remit of science is to deal with the objective, quantifiable, third-person world. And the physical sciences have done amazing work under that set of limitations. Galileo—for tactical reasons, not for philosophical reasons—said science should not deal with the soul, which at the time was what consciousness was considered to be. So what is subjective, what is qualitative, what is first person, we’re going to leave to the church, he said. And this was a good agreement, and it probably kept many scientists from getting burned at the stake. But it leaves science in an awkward spot, now that it wants to venture into that territory of qualities, of first-person experience. And I don’t think it has the proper tools. I think it will have to add to its toolkit in some way, and find a way to bring in phenomenology, or lived experience and introspection, which science is usually dismissive of.The challenge—we alluded to it earlier—is that the only tool you have to study consciousness with is consciousness. And what I mean by that is, the whole scientific enterprise is a manifestation of consciousness. As much as scientists like to flatter themselves with this idea that they attain a godlike perspective on what they study, when it comes to consciousness, there’s no such thing. And it’s fine for all the things you can step outside of and study from that perspective. But two areas it won’t work are consciousness and cosmology.___It could be that we live in this anomaly of not believing nature is conscious. And maybe psychedelics are teaching us something we’ve forgotten.___With cosmology, too, you have to study the universe from inside the universe. It’s not that cosmologists haven’t made progress. We know a lot about the age of the universe and expansion and things like that. But we can’t penetrate what happened before the Big Bang. We just don’t have the tools because we can’t stand outside.The fact that there are 22 full-scale theories of consciousness tells you all you need to know: we’re kind of lost. And I was surprised to find that we are more lost than I thought we were when I started this. I thought that there’d be leading theories, or that we had experiments that we could conduct that would nail some of this down. And the fact is, we don’t.So, I don’t know if science can solve it. But, of course, we can change the rules of science. A really influential book for me was a book called The Blind Spot, by two physicists, Marcello Gleiser and Adam Frank, and a philosopher, Evan Thompson. It’s a reminder that science is a social practice. It’s organized in a certain way and it can be organized in a different way. But it has this huge blind spot at the center of it, which is its failure to recognize that it is a form of consciousness itself, and it doesn’t have a good way of taking account of lived experience.AC: On the one hand, I think you want to resist traditional dualism, which would say that consciousness is something magical, something supernatural, right? But on the other hand, you’re accepting that there is this division in reality between the stuff that you can investigate objectively and measure, and so on—the stuff that science has been good at finding out about—and consciousness, which, for some reason, you can’t objectively measure. Some would take this to suggest that the dualism is actually right. Is there a way of reconciling these two strands of your thinking?MP: To call it magical is full of value judgement. I mean, you could just say immaterial. The interesting thing is, I think, that intuitively we’re all dualists. And I don’t know whether that’s because we’re children of Descartes and other cultures are less dualist than we are. Or it may be because that’s how consciousness feels. It feels different than the body. It feels separate from the body. But I don’t think we should trust that intuition.AC: So let’s think about ways that science might be changed to get at consciousness. I suppose the starting point would be the way that you begin the second half of your book. You have this nice line from William James, where he says, “We now begin our study of the mind from within.” Could you give us some sense of the ways of studying the mind from within? What does this involve?MP: I don’t know what that science looks like. But one of the points I’m making is that it depends on the humanities. I found that I learned as much, if not more, about consciousness, from reading novels and poetry. There is a sense of the fullness and complexity of consciousness that you don’t get in any scientific account. I interviewed this stream-of-consciousness writer and I approached her as an expert on consciousness, and she is. So I think that dialogue is really important.I’m reading Ben Lerner’s new novel, Transcription. Just read the first page of this novel: it’s a man falling asleep on a train, going to conduct an interview, and there is the experience of being in the train, facing backwards, there’s the view outside, but there’s a reflection of himself through which he’s seeing outside. There’s the memory of dropping his kids off at school. All this is going on in one moment of consciousness. Scientists aren’t going anywhere near that. But I think it’s useful for them to think about. That’s where we’re trying to go: like, how does such a layered experience happen? You know, it also makes you wonder, could a computer ever do this? And it gives you some doubt.*AC: Before we get to computers, perhaps we could talk briefly about plants. How did you come to feel that they are sentient?MP: Well, it was a psychedelic experience, and it’s not unusual on psychedelics. In fact, there’ve been studies about how people become animists during psychedelic experience. Their belief in animism arises after a single psychedelic experience.You know, most scientists would say this is all a myth. But we have only 400 years of the age of enlightenment and science. Before that, we were animists, and if you go around the world, most indigenous cultures are still animists, and children are animists, by and large, until they go to school. So it could be that we live in this anomaly of not believing nature is conscious. And maybe psychedelics are teaching us something we’ve forgotten.As I said, I wanted to test this idea, and see whether there was conventional scientific evidence for it. And there’s fascinating work going on in a field that calls itself—in a rather cheeky way—plant neurobiology. These are people who fully realize there are no neurons in plants, but they’re trolling conventional botanists! And they’re doing experiments that are demonstrating that plants can learn and remember, which is kind of amazing: how do you store a memory without neurons? They’re finding plants that can solve problems, that can hear and see. In fact, they have 20 senses to our five or six. For example, a bean plant looking for something to twine, and given a pole within eight inches or so of it, knows where that pole is and will aim its spiraling reach at that pole. What is that about? Is it bouncing signals off of it?One of the spookiest things is the fact that the same anesthetics that put us out put plants out. You might think that plants are already out, but they’re not. They’re just slow. If you take a plant with a fast behavior, like a Venus flytrap, and give it an anesthetic, it will stop reacting. So you have to ask yourself, what is lost when the plant is anaesthetized? Some state of alertness, of awareness, of its environment, of reactivity. I’m not prepared to call that consciousness, but maybe it’s sentience—which is a simpler form of consciousness, and involves the ability to sense what’s going on in your environment and assess what’s good and bad for you and act appropriately. That may be a universal quality of life.AC: Let’s turn from plants to AI. You point out that LLMs are trained on the internet rather than direct interactions with reality. You put this really nicely when you say the internet is not the world so much as a shadow cast by the world. So LLMs are living in this kind of shadow world, or in Plato’s cave, as you put it. What’s the significance of this for AI consciousness and moral consideration? And, to recall the beginning of our conversation, if we’re stuck behind a veil or screen of consciousness, are we also stuck in a kind of shadow world?MP: I don’t think they’re the same shadow worlds because our world includes nature and other people. And even if it’s mediated in some ways... There is a reality out there, and we are in relation to it, through consciousness. There’s friction with it. What’s missing from the LLMs is that friction with the real world. There’s more to the world than human representation, which is what they’re dealing with. And that means that so far, AI is a cultural technology for combining thoughts we’ve already had. SUGGESTED VIEWING Cracking the code for thought With Roger Penrose, Sabrina Gonzalez Pasterski, Max Tegmark, Güneş Taylor Genuine creativity is more than collage. A lot of what AI does now is tantamount to collage, putting this with that and you know, that’s part of art, certainly. But there are also genuinely new ideas that come into the world that don’t come in through manipulating the representations we already have. So it remains to be seen whether AIs can be truly creative in that more radical sense.But my arguments against AI becoming conscious have to do with the fact that the idea of AI consciousness is based on this faulty metaphor that the brain is a computer. There are dimensions in which the brain is like a computer—it certainly does its share of computation. But computers have this sharp distinction between hardware and software, and brains don’t. In a brain, hardware and software are identical. Every memory is a physical change to the brain. Brains are not interchangeable in the way computers are. So this idea that you could take the consciousness out and somehow run it on another substrate, a silicon substrate, seems foolhardy.Anyway, it’s a more extended argument, and I may be wrong. And when we move to computers that aren’t based on silicon—neuromorphic computers and things like that—all bets may be off.AC: Regarding your point about LLMs being stuck in the world of our representations—the internet or whatever—and not being able to interact with reality, are these representations, the world of the internet, themselves part of reality? We’ve created the internet, but it’s still a real thing that exists. And so while the LLMs may be trapped within that part of reality, they’re nevertheless within reality and interacting with it and so on. So it’s not obvious that there’s a barrier there to them becoming conscious and being creative.MP: Yeah, I mean, if our consciousness is built out of human culture, which is what we’re talking about with all those representations. But I tend to think consciousness comes a bit more out of nature and friction with the natural world, but...AC: So there’s a fundamental divide between the natural world and human artefacts?MP: And we lose track of that, and especially people in this computer world. You know, the people who are creating these AI systems, my guess is they’ve been into video games since the age of three, and they didn’t go outside a lot. And their own contact with nature is somewhat limited. I could be wrong, it’d be a very interesting thing to ask, all the wizards of AI, whether they like to go fishing and hiking and do things like that. Or were they on computers from a very early age? I interviewed Blake Lemoine, the Google engineer who came to believe that LaMDA, the Google LLM out at the time, was conscious and deserved personhood. It was very clear that he didn’t see a distinction between this bubble in which he lived and the real world. And I think we’ve all been distanced from the natural world, and this is taking us even further away. But it’s still there, you know, and we still have bodies, and we’re still mortal, and we don’t live in a simulation.AC: I think that’s a great place to finish. Michael Pollan, thank you very much!
Millions use chatbots for mental health. Accountability can’t wait.
Congress should ensure innovation aligns with the principles we expect in every corner of healthcare: safety, transparency, accountability and trust.
Treasure Island considers development ordinance to attract new business
“The one thing we can’t do is be the city known as parking lots, which is where we’re at right now,” said Vice Mayor Tammy Vasquez.
Nvidia and Microsoft Researchers Say AI Agents Don't Care About Safety or Reliability
The researchers compared AI to the near-sighted cartoon character Mr. Magoo, who can’t see he’s stumbling through dangerous situations.
How Science Works
The 2nd Weather and Climate Livestream is now underway. It is organized by a group of early-career researchers concerned about declining funding for the field and eager to demonstrate how weather and climate research makes a difference in our lives. Last year’s event was a great success, drawing terrific press coverage including a piece in the NY Times. This year features a strong lineup of talks aimed at a general audience — I highly recommend tuning in. Share I gave a talk yesterday about How Science Works in Three Steps. You can see the short presentation here (I’ve appended a transcript below): And please tune into the livestream here. It runs through tomorrow at 6 pm ET. Thanks for reading The Climate Brink! Subscribe for free to receive new posts and support our work. Subscribe Cleaned up transcript: Thank you, and thanks to everyone tuning in. I want to talk about something I think a lot of people don’t really understand: how science actually works. Arguments over any scientific topic — climate change, vaccines, you name it — revolve around competing claims. For climate change, the claims are: Is the Earth warming? Are humans to blame? What will the impacts be? Over the last 150 years, the scientific community has developed a remarkably robust method for sorting out which claims are true and which aren’t. That method is what I want to walk through. So how does science generate knowledge? If you ask a high schooler, they’ll give you the version they learned in ninth grade: an individual scientist forms a hypothesis, runs an experiment, and draws a conclusion. That’s more or less what happens at the individual level, though in practice it’s more iterative — you design, test, and refine all at once, landing on a slightly different idea each time until you reach a conclusion about whatever hypothesis you’ve ended up with. But this isn’t science. It’s only step one. Any individual scientist can make mistakes — scientists are human. Maybe there’s a bug in the code, maybe there’s an error in the experiment. Just because someone ran an experiment and reached a conclusion doesn’t mean it’s right, and scientists don’t treat a single result as settled truth. Step two is peer review, the first layer of quality control. The scientist writes up what they did and submits it to a journal, which sends the paper to other experts in the field. Those experts judge whether the methods are sound, whether it properly references prior work, and whether the conclusions actually follow from the data. Ask any scientist and they’ll tell you peer review is miserable — the comments come back brutal, often harsh, and you have to revise and resubmit, sometimes multiple times, before an editor finally accepts the paper. Peer review catches an immense amount of bad science, but it can’t catch all of it. Reviewers get sloppy or overworked, they miss obvious mistakes, and they can’t catch hidden errors — a bug in the code, a misread instrument. So a peer-reviewed paper making it into a journal doesn’t mean the paper is right. Nobody treats a single paper as the final word. That’s where step three comes in: the crucible of science. Important results get retested by the broader community. If you publish something interesting, it gets dissected. Sometimes people try to reproduce your work directly but more often they test its implications. If someone claims X is true, and that implies that Y is also true, then scientists will go check Y. If a claim survives this gauntlet long enough, it becomes accepted. That’s how we generate knowledge. Let me give an example: the ozone hole. In 1985 — and I doubt many people watching were around then, but I remember it well — Joe Farman and his colleagues published observations from Antarctica showing that a huge chunk of ozone was disappearing every year. This was shocking because most atmospheric chemists had expected ozone loss to occur at mid-latitudes and high altitudes, not over the South Pole. When scientists see something they don’t understand, they rush to explain it, and several competing hypotheses quickly appeared in the peer-reviewed literature. One pointed to chlorine chemistry from chlorofluorocarbons. A second blamed nitrogen chemistry, possibly driven by solar proton events — meaning the sun was responsible. A third argued it wasn’t chemistry at all but dynamics: winds were carrying naturally low-ozone air from the lower atmosphere up into the stratosphere. Then the community went to work testing which theory could survive the crucible. Aircraft flew into the ozone hole and found no nitrogen, ruling out the nitrogen theory. Measurements showed the air in the polar vortex was descending, not rising — which would bring high-ozone air down, eliminating the dynamics theory. Meanwhile, those same flights measured enormous amounts of chlorine, strongly correlated with exactly the regions where ozone was being destroyed. That became known as the “smoking gun” paper, and it established that chlorine chemistry was the cause. Through this process, a consensus emerged. And it’s worth being clear that this consensus is organic. There’s no vote, no poll, no meeting where it gets decided. Scientists go to conferences, talk to one another, and independently arrived at the same answer. It’s the ultimate free market of ideas. After the consensus was established, the peer-reviewed literature doesn’t even mention the rival theories — it simply takes chlorine chemistry as given. That’s what a consensus looks like. It doesn’t mean every single scientist agrees, but it does mean there’s no longer any legitimate debate. So where can you see what scientists actually think? It’s all in the peer-reviewed literature, which contains the entire historical record of the argument: the discovery, the competing theories, the debate, the testing, and finally the community coalescing around one answer. But there’s a lot of room for misrepresentation. You can dig up an old paper claiming the ozone hole was caused by dynamics and wave it around as if there still was a debate about the cause of the ozone hole — without mentioning that the idea was disproven long ago and that even its own authors no longer believe it. There’s a bigger problem, though: the peer-reviewed literature is written in a language I call “nerd.” It’s extremely hard to read — honestly, some of it is hard for me to follow. It takes graduate students years to work through the literature in a single field, so we can’t expect policymakers or ordinary people to do it. This is where scientific assessments come in. The most famous is the IPCC — the Intergovernmental Panel on Climate Change. The job of an assessment is to read and summarize the peer-reviewed literature, synthesizing what’s settled, what’s been disproven, and what remains genuinely debated. To ensure the assessments accurately summarize the peer-reviewed literature, assessments are written by large teams, which are far less prone to bias than individuals and which dilute the influence of any one scientist with an axe to grind. The teams are deliberately assembled to avoid stacking the deck, and the reports themselves go through multiple rounds of peer review. That rigorous process is exactly why you can trust them and why people consider the IPCC to be the gold standard of what we know about the climate system. An assessment produced through a different process may well not be credible. You can even watch the consensus evolve across assessments. Take the attribution of warming. The 1990 IPCC report said the observed warming was broadly consistent with model predictions but also comparable to natural variability — in other words, we don’t know whether humans are responsible. By 1995, it concluded that the balance of evidence suggested a discernible human influence — a sentence only a committee could write, and one that barely commits to anything. By 2001, most of the warming over the previous 50 years was judged “likely” due to greenhouse gases; by 2007, “very likely”; by 2013, “extremely likely.” The 2023 report says essentially the same as 2013 — there’s not much stronger language available. So, to wrap up: science is our ultimate tool for deciphering the universe — the most successful method we’ve ever developed for determining what’s true and what isn’t. Our understanding is written into the peer-reviewed literature, so if you want to know what scientists think, that’s where to look. And for those of us who don’t speak nerd, scientific assessments are the Rosetta Stone — they translate nerd into English. Let me open the floor to questions. Thank you.
The work you can't always see: Beer is political, part 2
Recently I published a piece about beer, politics, and the question of who speaks up and who doesn’t. I meant every word of it. I still do. And then my inbox opened up. Cleveland Prost is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe I’ve been writing about beer since 2014. For most of that time, I kept things deliberately light — taproom profiles, new releases, the people behind the pints. Gradually, over years of building this thing, you gave me something I didn’t expect: permission. Permission to go deeper. To say what I actually saw in this industry and what I actually believed about it. That trust isn’t something I take lightly. It’s why that piece existed at all, and it’s why this one does too. I’m not walking anything back. But I want to go further. In that piece, I wrote that beer has never existed outside the system. That immigration policy affects who staffs breweries and harvests ingredients. That labor policy affects taproom workers. That civil rights policy affects who feels safe walking into a taproom. That “beer does not exist in a vacuum. The idea that it does is comforting. It is also false.” I believe that as much now as I did when I wrote it. But one idea came back at me, in different forms, over and over (from reader emails, comments, and conversations): that beer itself isn’t political — that it only becomes political when someone decides to make it that way. That what we’re really seeing is a choice by individuals to inject division into something that doesn’t inherently require it. It’s a comforting idea. It’s also wrong — and I think it’s worth being precise about why. That framing assumes that breweries operate outside the conditions shaping everything else. That politics is something you choose to bring into a room that was, until then, clean and neutral. That if you stay quiet, you stay clear of it. But the room was never neutral. It was never clean. Politics is already in the room. It’s in who walks through the door comfortably and who hesitates. It’s in whether a space can be used for organizing without fear. It’s in whether helping someone quietly might carry consequences you have to think carefully about in advance. It’s in who staffed the brewery, who harvested the grain, who can afford to be a regular. The idea that you opt out of all that by staying quiet is an illusion. You only change how visible your response to it is. This is, I realize, a hard thing to hear if you came to a beer newsletter for something lighter. I wrote recently that “beer, for me, has always felt like a refuge — a third place in an increasingly fractured world.” I meant that. I still do. But a refuge is not an escape from reality. It’s a place to gather strength to face it. Here’s what I actually missed — and what I want to correct. Multiple people in the industry reached out to me. I’m not naming them and I’m not identifying their businesses, because that’s not my call. If and when they want to be loud about what they’re doing, that agency belongs to them. What I can share is the substance of what they said, because it complicated something I presented too cleanly. The overall message: *You don’t know what we all are doing.* And they’re right. I don’t. One example involved a collaboration brewed quietly to support another business facing serious challenges in a whole different region, with proceeds directed toward solidarity, community, and keeping operations afloat. No announcement. It could have been broadcast widely. The point was never publicity. Another example involved logistical support for community efforts: organizing safe transportation, providing space for meetings on otherwise closed days, facilitating gatherings under difficult conditions. All of it happening while balancing real financial pressure and genuine concern for personal safety. None of what they described is a brewer “deciding to make beer political.” It’s people responding to the conditions around them — conditions that are already shaping who feels safe, who has access, who can gather, who needs help, and who has the capacity to offer it. Politics, again, already in the room. Already shaping choices. Whether anyone announced it or not. I’ve spent decades in taprooms, at barrel releases, at festivals, in back offices and brewing floors, talking to the people who built this industry from nothing. I know how much happens that never makes it onto social media. I know the owner who quietly comp’d a tab for someone having a crisis. The brewer who drove an hour to pick up a stranger who needed a safe ride. The taproom that stayed dark on a Tuesday so a community group could use the space without it becoming A Whole Thing. None of that gets a post. Most of it never will. So when I wrote recently about silence — when I said that “silence right now doesn’t feel neutral, it feels like complicity” — I was writing about what I could see. And I was right about what I saw. The public silence of breweries that have the platform, the stability, and frankly the safety to say something and choose not to? That still troubles me. I’m not softening that. But some of what I read as silence is actually something else entirely. It’s people doing the work with their hands instead of their phones. It’s people who are genuinely afraid — not of being canceled, but of real consequences for their families, their employees, their ability to keep the doors open at all. That deserves more than a footnote. It deserves to be named clearly. Here’s the tension I want to sit with honestly: public statements matter. They matter because people can’t rally around something they can’t see. Visibility creates awareness and solidarity. It helps people find each other. It tells someone standing outside your taproom door, uncertain whether they’ll be welcomed inside, something they need to know — or whether it’s even safe for them to be in public at all. That’s not performative. I wrote recently that the craft beer movement “was built on collective defiance. It was built on rejecting consolidation. On pushing back against homogeneity.” I believe that too. And I’ll extend it: breweries should be at least as loud about their values as they are when they drop a new seasonal. Your hazy IPA gets a full rollout — the label art, the tap handle photo, the countdown post. Human dignity deserves the same energy. Be as loud about human rights as you are about your beer. There is no reason those two things should require different levels of courage from you. But visibility isn’t the only form of courage. And not everyone can be visible right now without real consequences — financial, personal, sometimes physical. There are people in this industry doing hard, unglamorous, sometimes risky work in the background, and announcing it would compromise it or paint a target on someone who’s already stretched thin. That’s not silence as complicity. That’s operational discipline under pressure. What I want to push back on — clearly, not gently — is the idea that behind-the-scenes action and public visibility are in competition with each other. The person organizing quietly in the back room and the person posting a statement of solidarity on a Tuesday morning are both doing something real. We need both. We need the quiet infrastructure and we need the visible signal. We need people to know that this industry — at its best, at its most independent, and human — gives a fuck. I closed that piece with a question: “Reactive and fearful? Or clear and values-driven?” That question still stands. But having heard from you, I’d add a corollary: the values-driven path isn’t always the loudest one. Sometimes it’s a phone call and a recipe. Sometimes it’s a room made available on a closed Tuesday. Sometimes it’s a drive across town for someone who needed a safe ride home. All of it is political. All of it was always political. You don’t get to opt out of that — you only get to decide what you do with it. I’ve spent more than a decade writing about this industry because I believe it can be exactly that. I’ve been lucky enough to build an audience that lets me say so plainly. That’s a privilege I intend to use. The work is happening. Some of it you’ll see. Some of it you won’t. Support it either way. Cleveland Prost is a reader-supported publication covering beer and brewing across New York state. To receive new posts and support this work, consider becoming a free or paid subscriber. Cleveland Prost is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
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Stan Kroenke Is the Secretive Billionaire Who’s Conquering the World’s Richest Sports Leagues
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Even in deep-blue Baltimore, the nonpartisan school board race can’t escape politics
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Why can’t Elon Musk do for politics what he’s done for industry?
So much for advancing civilisation
The Pentagon Knows the True Threat of Climate Denialism. Too Bad They Can’t Do Anything About It.
Newly uncovered documents reveal that the military very recently identified potentially dire geopolitical consequences of climate change. Then a climate denier moved into the Oval Office.
NASA just gave SpaceX more crew missions because Boeing can’t certify
NASA has filed a procurement notice announcing its intent to add six post-certification missions to SpaceX’s existing Commercial Crew Transportation Capability contract. The agency said it would order up to three of those missions immediately upon adding them to the contract, with the remaining three available as needed through the end of the International Space […]
Use Tiny11 to Rescue a Computer Running Windows 10
If you can’t—or don’t want to—upgrade to full Windows 11, consider this lightweight version of Microsoft’s operating system that works on a wide range of computers.
Novak Djokovic Can’t Stop Dancing at Roland-Garros
Novak Djokovic also challenged Aryna Sabalenka to a dance competition after his first-round French Open win on Sunday. Watch here.
The hill I will die on: If Hollywood blockbusters must dabble in science, can’t they get the small stuff right?
Project Hail Mary, Jurassic Park: from dino-mosquitoes to a spaceship’s roar, pointless mistakes on the scientific details make me wince, says science writer Helen Pilcher
Hegseth torches identity politics in West Point speech: ‘Can’t throw your pronouns at the enemy’
Defense Secretary Pete Hegseth delivered a commencement address at the U.S. Military Academy at West Point in the pouring rain on Saturday morning, in which he accused former “foolish and feckless …
Politics of potholes: why Bristol can’t fix its broken roads overnight
Marsh Street has been cited as Bristol’s worst for potholes. But it’s just one of many crumbling roads in Britain as councils face repairs backlogs and lack of funds
‘Seattle can’t survive this’: Critics hammer socialist mayor after Starbucks reversal
Seattle Mayor Katie Wilson reverses her Starbucks boycott stance as the coffee giant announces a massive corporate expansion in Nashville, Tennessee.
Cannabis Business Leans on Schedule III Listing, Asks US Tax Court to Recognize 280E Refunds for Prior Years
The IRS can’t dispute that medical cannabis falls outside the meaning of Schedule I or II ‘without contradicting the president, the acting attorney general and HHS,’ the company says.
I can’t believe how fast Google vibe coded my first Android app
From prompt to phone in minutes flat.
Jiben Roy: When science can’t predict the unthinkable
It’s a tricky point, and science does not have an answer. Tagore, a 1913 Nobel laureate in literature, lost seven family members, including his wife and three of his five children, within a short period of time.
Thomas Massie faces the question confronting other Republicans who crossed Trump: What now?
For the next six months, Rep. Thomas Massie will hold something that even President Donald Trump can’t take away: His seat in Congress.
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Disco Elysium’s spiritual successor can’t escape its phantoms
Zero Parades: For Dead Spies carries the ZA/UM name, but the studio has changed a lot since its previous hit.
Chicago Bears have highest ‘Rest Differential’ in 2026
Is this an advantage for the Chicago Bears? Perhaps, but it certainly can’t hurt.
Why We Can’t Cut Earth Science to Fund the Next Earthrise Shot
We love space, but not as an abstraction. For my twin sons, it is a tradition. Their birthday themes have evolved from “Two the Moon” for their second birthday, featured on NASA.gov, to “From Space to the Farm,” with the boys in those iconic orange astronaut suits, standing in a cornfield. In the ye...
Is another government shutdown looming? Here’s how GOP leaders want to avoid it.
Sen. John Kennedy has advanced a bill requiring senators’ pay be halted if they can’t agree to keep government funded.
10 Gems of Bluesky Today
Greetings everyone. I’m writing this from my phone, which is doable, but a little clunky. One problem is that I can’t see image attributions from the image library, so I apologise in advance that I…
Now What? With Carbon Pricing Eroded and Pipeline Politics Advancing, Here Are the Pathways for Climate Success
At the end of a whirlwind week of news on carbon pricing and electricity strategy, capping a madcap year of pretty much non-stop, dramatic change, the word across much of Canada’s climate and energy transition community is that climate policy in this country has been shredded. Eviscerated. Hit with a sledgehammer by policy rollbacks that have pushed the country’s 2050 net zero target “well out of reach”. That means it’s never been more important to look for the rays of hope and glimmers of possibility. To glimpse the seeds of the next set of strategies to get Canada’s climate pollution under control and the country into the accelerating global dash away from fossil fuels. And then, once we’ve spotted those possibilities, get on with the hard, day-to-day slog of trying to make them a reality. Nothing takes away from the frustration and the deep disappointment so many climate and energy hawks are expressing, the sense of betrayal by the author of Value(s) and the former UN special envoy for climate action and finance. But we knew two things as the week drew to a close. We’re looking at the world as it most definitely is. And we don’t get to give up finding the pathways to confront climate change and deliver faster, deeper carbon cuts that leave no one else behind. So really, the first question we all have to ask ourselves is: What’s next? Subscribe All the Oxygen in the Room The outpouring of anger and grief over the carbon pricing deal between Prime Minister Mark Carney and Alberta Premier Danielle Smith has been absolutely understandable. So much of the climate community poured years, more than a decade, into dragging the current federal pricing regime across the finish line, then defending it from a deluge of three-syllable rhymes after the Trudeau government proved utterly incapable of delivering its own message. The policy foisted on us by neo-classical economists took up all the oxygen in the room, burned through years of climate response time that we won’t get back, while cornering climate hawks into the position that the best response to the crisis of our lifetimes is a new tax…in an era of historic anti-tax sentiment. I mean, really—what could possibly have gone wrong? Against that history, let’s appreciate columnist Max Fawcett’s point that even a modest carbon pricing agreement with a government as off-the-wall libertarian/conspiracist as Danielle Smith’s—those adjectives are mine, not Max’s—is a win worth savouring (as long as Smith keeps her promises for a change). But part of living in the world as it is (no, I’m not letting that go) is to be clear-headed about what we can and can’t control. And one thing we get to decide, after seeing this week’s carbon price festivities take up all the oxygen yet again, is whether we want to keep letting that happen. Particularly when success down that road depends on a factor that no one with a climate agenda can control or influence—a provincial carbon pricing mechanism that has been manipulated and eroded beyond its lowest possible denominator. Thankfully, that’s not the way it has to go. Not when we have so many other powerful, practical tools at our disposal, including the ones still available to us through this abominable Memorandum of Understanding (MOU) between Canada and Alberta. Tools In Our Toolbox When I started roughing out this list, I didn’t expect it to grow to nearly a dozen bullet points. It’s probably still incomplete. Some of the greatest hits in today’s climate solutions toolbox include: • No Carbon Capture, No Pipeline: On Friday, Prime Minister Mark Carney explicitly stated that there’s been no change to the MOU provision that there will be no West Coast pipeline without an industry commitment to build its massive, $16.5-billion carbon capture and storage (CCUS) hub in Northern Alberta, and vice versa. The two megaprojects were joined at the hip when the MOU was signed Nov. 27, and the implementation agreement this week affirmed that they still are. A parade of independent analysts have spent years pointing to the economic and technical flaws in CCUS, while the industry kept postponing its investment decision until it could arm-twist the government for more “clarity” (by which it meant even more lavish taxpayer subsidies) on the project. Now the industry itself is running away from the CCUS hub and insisting the pipeline should proceed without it, but Carney doesn’t seem to be budging from a central tenet of the MOU to which Smith has signed on. • No Subsidies, No Investors: Climate analysts and advocates have quite rightly been hammering away at Carney and his team, insisting that any new capacity the industry wants to build must proceed without new subsidies. The government has responded with a growing collection of funding and financing mechanisms for the very wide menu of industrial development and nation-building projects they say they want to take on, and that menu always includes fossil fuel infrastructure. But it’s hard to see how even the combined fiscal clout of the federal and supportive provincial governments will deliver the financial backing private investors would need when the business case for new fossil fuel development is evaporating before their eyes. Particularly when… • No Market, No Demand, No Investors: As our friend Markham Hislop at Energi Media (our apparently sleepless friend, given the massive volume of great material he’s been churning out) points out this morning, the biggest vulnerability in any pipeline deal is the assumption that Asian buyers will want the oil or liquefied natural ga that our fossil industry is so keen to send them. Hislop writes in part: Ottawa and Alberta are effectively betting that countries like China and India will continue increasing oil imports for decades as their economies grow and energy consumption rises. That assumption underpins the entire economic rationale for expanding oil sands production and building billions of dollars in new export infrastructure. But Asian energy systems are changing rapidly… China, India, South Korea, and other major hydrocarbon importers are now investing hundreds of billions of dollars into electricity systems built around wind, solar, batteries, nuclear, hydro, and expanded transmission infrastructure. Domestic “energy sovereignty” is increasingly replacing the old energy-security model based on stable oil and gas imports. Those investments are expected to sharply slow oil demand growth and eventually reverse it, even as overall energy consumption continues rising. There are also refining constraints. Many Asian refineries and petrochemical complexes are already optimized to process discounted heavy crude from the Middle East and Latin America. That raises serious questions about how much additional Canadian bitumen Asian markets can absorb at profitable prices. Small wonder that there’s still no private sector investor for the project, despite Smith’s government desperately beating the bushes to put together a deal. For now, Alberta is acting as proponent and covering early start-up costs for a pitch to the federal Major Projects Office, which could actually turn into the next tough hurdle for Smith and her pipeline to jump. • Canada Day Looms: How ironic that Canada’s birthday this year could become a major chokepoint for the provincial premier who’s been working so diligently to tear the country apart! The July 1 target date for Alberta’s pipeline proposal is baked into the MOU, was reaffirmed by the implementation plan, but it hadn’t dawned on me that it cuts both ways. As one very smart colleague wrote in an email yesterday, “they’ve thrown the ball into Alberta’s court to get the project proposal on the table really quickly and to have to do a whole pile of work to put together a massive, complicated project that would typically take years to assemble, and they’ve given them weeks to do it.” That makes July 1 a looming deadline that Smith won’t be able to run away from politically, especially with the separatists in her party and her caucus breathing down her neck. (See previous ref to off-the-wall.) But if Alberta comes in with a sloppy, incomplete submission, even after Carney bent over backwards to simplify the application process and the rules that govern it, it may be harder for the province or the industry to blame Ottawa and insist on the faster process they claim their investors are demanding. (Oh, wait—which investors would those be??) • We’ll See You In Court (Then We’ll See You Again): If Carney did cave, that would be just one more reason for Indigenous and other affected communities to take the government and the process to court—Just as Alberta First Nations did, successfully, in response to Smith’s half-baked separation referendum. Veterans of the Harper era have been warning that a shoddy process around fossil fuel infrastructure or other major projects will be a recipe for the very delays that process seeks to avoid. And now more than ever, with renewable energy and energy storage eating fossil fuels’ lunch in import markets around the world, a delayed pipeline or LNG terminal may be as good as a cancelled one. • Charged Up, Ready to Go: With its goal of doubling Canada’s electricity supply to meet a doubling of demand by 2050, the national electricity strategy that Carney unveiled Thursday has a lot to like. With its explicit language about speeding the shift from fuels to more efficient and affordable electricity, global investment and deployment patterns that already favour that shift, an emerging bidirectional power grid, the role of front-line options like rooftop solar and heat pumps, the emergence of electric vehicles as behind-the-meter energy storage, and the domestic jobs and manufacturing to make it all happen, the document doubles down on the essential cornerstone of a faster shift off fossil fuels. The strategy envisions a more prominent role for gas and nuclear power. But some of those provisions were already in the Clean Electricity Regulations that climate hawks are now fighting so hard to defend, inserted as a compromise in a futile attempt to mollify the industry and its political representatives in Alberta and Saskatchewan. But once again, gas will be a tougher sell when it’s more expensive and now so much more unpredictable than the clean alternatives. The new nuclear technologies are still speculative and deeply vulnerable to cost overruns. Increasingly, utilities, developers, and investors know it. Carney declared Thursday that “it doesn’t do us good to be sitting in court all the time with provinces. It doesn’t do us good to be talking past each other. What does do us good is to come together with specific projects.” There are no guarantees, but so much of the language and narrative-building in the electricity strategy suggests the lion’s share of those projects will be renewable. • The Party Has Already Started: The electricity strategy only rarely digs down to specific projects, but provinces representing three-quarters of Canada’s population are already embracing a faster transition. Hydro-Québec is working on a 10-year, $185-billion renewable energy and grid buildout by 2035. Ontario recently brought 10 provinces and territories together in a National Energy Corridor Agreement to boost interprovincial and -territorial transmission infrastructure. And the MOU implementation agreement commits Alberta to facilitate investment in renewable energy projects, a big step back from its continuing, punitive restrictions on renewables development. The electricity strategy envisions much of the financing and infrastructure that will be needed to pull those advances together into an integrated whole. • Delivering on Affordability: The MOU implementation plan has little or nothing to say about affordability (are you surprised?), but the electricity strategy does, with a top-line pledge to reduce home energy costs for seven out of 10 Canadian households by 2050, a total saving of $15 billion across the board. It’s just a start, but it puts affordability on the government’s narrative map. If they’re serious and deliberate about patching together a least-cost energy strategy, it’ll have little if any room for oil, gas, or nuclear—not with powerful evidence, for example, that electricity prices are higher when those prices are set by gas. • Smith Proves that Canada Works: By signing a deal that makes it harder to claim the federal government is blocking a new pipeline, Smith has helped prove Carney’s constant anti-separatist refrain that “Canada works”—incurring the rage, no doubt, of her own political base. Canada also needs to work for anyone who depends on a clean environment, healthy and thriving ecosystems, and safe, stable climate. But with Smith and her separatist constituents setting up as a fifth column for annexation by Donald Trump’s United States, let’s set aside any notion that 51st state status for Canada is a recipe for anything other than climate disaster (and so much else). Resisting and withstanding Trump (just 170 more sleeps until mid-term elections, which is a damn sight better than the 730 we started with) doesn’t mean a free pass for a pipeline, but we can still appreciate it that keeping Canada whole and sovereign is still Carney’s Job One. • The Words Not Spoken: Apart from a commitment to export a million barrels of “low-emission” Alberta bitumen per day (memo to Smith and Carney: You realize that that’s less than the industry is already exporting??), the MOU implementation plan says nothing about the international trade and economic sovereignty deals that Carney has been travelling the world to negotiate. It didn’t have to. Carney doesn’t need permission from Danielle Smith, her American enablers, or her separatist allies to continue building the alliances that will ratchet down our economic dependency on our unstable, unreliable neighbour to the south. But every connection he builds with countries outside North America helps align our economy and our future with a faster shift off fossil fuels. Little if any of this was on our bingo cards a year or two ago. But it’s the pathway that has opened up to us. And if it gives Canada any climate or energy gains at all in an era still dominated by Trump and his increasingly ridiculous tariffs, his loutish trade negotiations and his continuing annexation threats, we have to take the wins. Not least because they’ll be the point of departure for what we can achieve in 2027, 2029, and beyond, as Trump’s grip and this era begin to loosen and then fade. What is Carney Doing? If this line of thought is right—and it’s a possibility, not a prediction—it means that Carney’s actions and decisions are largely about buying time. Time for Trump’s power to wane. Time for Alberta’s separatist/conspiracist virus to spread, mutate, die out, or at least die back, with help from a vaccine of federal steadiness and calm (appropriate enough, for a movement populated largely by vaccine deniers) that no conspiracy theory can dismiss. And time for the government’s trade and investment agenda to deliver results—even knowing that some of those results will bring impacts that front-line communities will not and should not accept. In the immediate moment, none of this changes the way the wider climate community has to respond, from campaigners to investors to front-line practitioners. All of our voices are still essential. But those voices will be stronger and more confident if we have a clearer sense of the brutal game we’ve been pulled into, and a plausible path (or two it three) for playing it to the win we need. This conversation also underscores our biggest task for the remaining years of what was supposed to be the “decisive” decade for climate response: if we can shift the energy narrative in Canada, make it a mainstream view that the country’s preoccupation with oil and gas has us falling farther behind a changing world, we’ll see far better results in the 2030s and beyond. For many veteran climate advocates, taking on that part of the fight will begin with recognizing that most of our friends and family, neighbours and colleagues already understand that climate change is real and right in front of us: they’re looking away and staying silent because they don’t have what climate communicator Katharine Hayhoe calls “efficacy”. As Hayhoe recently pointed out in a feature interview with The Energy Mix, it amounts to science denial to keep hammering away at the dire news about global warming without also helping audiences understand what they can do about it, with multiple studies telling us why that won’t work. Far better to open those conversations with the dominant crises like energy security, food security, emergency preparedness and business continuity, affordability, and financial security that have knocked climate change far lower on the list of public priorities, and will likely keep it there. We Knew This Would Happen Climate hawks have always known this day would come. For decades, we warned that everyone had to pay attention to climate change right now, because it would be much tougher to respond once the crisis itself started affecting our daily lives. We were right, and here we are. But now, thanks to decades of hard work, communities and countries have an alternative to doubling down on fossil fuels. “In 10 years everyone will have ‘always known’ that solar and batteries were going to win,” Morgan Solar Executive Chair Mike Andrade writes on LinkedIn. With the disruption in the Strait of Hormuz roiling energy priorities around the world, Canada and the United States are among the shrinking number of countries that are still very keen on fossil fuel development. Understanding that gap is a first, essential step in spotting the opportunities ahead, and averting the deep economic as well as environmental and social risk we face if we don’t seize them. Thanks for reading The Energy Mix Weekender! Subscribe for free to receive new posts and support our work. Subscribe Mitchell Beer traces his background in renewable energy and energy efficiency back to 1977, in climate change to 1997. Now he and the rest of the Energy Mix team scan 1,200 news headlines a week to pull together The Energy Mix and The Energy Mix Weekender. Chart of the Week BYD Eyes 20 Dealership Locations After Canada Greenlights Chinese EV Imports ‘Sledgehammer’ Carbon Price Deal Boosts Emissions by 230Mt, Aims for Fall 2027 Pipeline Approval ‘Worse Than Harper’: Regulatory Rollback Would Stop Canada from Assessing Project Impacts, Critics Warn Electricity Strategy Aims for Doubling by 2050, Allows ‘Flexibility’ for Gas Power Plants Opposition Mounts as O’Leary’s Data Centre Approved in Drought-Stricken Utah Diluted Carbon Price Misses ‘Reality of the World We’re In’, Could Impede Diversified Trade: Climate Institute $200B in Clean Energy Investment Will Need On-Time Delivery, Reliable Policies, Trade Association Says ‘Sovereign Pipeline’: CEO Pitches to Keep Trans Mountain in Government Hands What a Supercharged El Niño Could Mean for Canada Canada’s future is electric, and here’s how a power grid superhighway would get us there (Toronto Star) The Perilous Waters of Hecate Strait (Globe and Mail) Saudi Aramco profits jump despite conflict in Middle East (The Guardian) Farmers confront rising cost of fertilizer and fuel as spring seeding under way (Canadian Broadcasting Corporation) Clarkson forecasts 24% decline in offshore oil, gas capital expenditures (Oil & Gas Journal) Pipe Dreams: How Oil and Gas Fail to Deliver Economic Development in Africa (Oil Change International) Developing countries must hold the pen to script the fossil fuel transition (Climate Home News) Iran war threatens the dream of a post-oil economy in the Gulf (Washington Post) U.S. Oil, Gas Work Force Hits Lowest Level Since 2022 (Rigzone) Why Polestar Is Doubling Down on Net Zero as Rivals Pull Back on EVs (Bloomberg) Why this Michigan utility plans to sell its hydro dams for $13 (E&E News/Politico) Levees can no longer save New Orleans (Vox)
Knicks Bulletin: ‘The humble warrior’
We’ve reached a point where you can say the Cavs and the Pistons are doing this on purpose to prevent Knicks fans from enjoying New York basketball. But hey, seven games on their legs? Can’t complain! We’re the latest four days and a few hours from the ECF Game 1 tip-off. Finally. Mike Brown On […]
Greeley bar owner looks back on 20 years in business
After 20 years, I can’t emphasize enough how important it is for your customers to become your friends and your friends to be your family. I didn’t know 99% of them before they came in. And now 100% of them are family.”
Andrew Abbott leaned into some science to get his season back on track
Andrew Abbott locked in on the stick-figure graphic of himself. The world of biomechanics is very advanced. But with Abbott going through the worst rut of his big league career, he opened up to some new ideas to get himself back on track. He asked for some help, and he leaned into some sports science. He said the stick figures made it clear, and he credits biomechanics for helping him get his season back on track. Over his last three starts, he has allowed two total runs in 17 ⅔ innings. “There’s a photo of (me) last year and the year before on a graph, and this year is in a different color,” Abbott said. “You see where you are in comparison to that. Where the hands are at this moment, where your feet are, where the knee is, where your head is at, where your shoulders are at, it breaks it all down if you want it.” When Abbott saw his mechanics in this objective way, he recognized exactly what had been going wrong. “When my tempo, my feet and my hands are aligned, then normally my mechanics are sound,” Abbott said. “And when my mechanics are sound, my stuff behaves normally. The fastball is jumpy. I’m up in velo. My extension is better.” Abbott said that he started diving more into his biomechanics in the middle of April. The Reds have a biomechanics team, which works closely with pitching coach Derek Johnson and hitting coach Chris Valaika. Leading the group is biomecahnics manager Franky Mulloy. “I laugh every day,” Francona said. “When Franky starts talking, I start laughing. I remind him to know his audience.” Francona isn’t a scientist. The Reds’ manager jokes about his own comprehension of the data. But it’s easy for him to recognize the value that the biomechanics team is providing. “That’s why we got them,” Francona said. Abbott said that he had his first big biomechanics-oriented meeting in the middle of April. Behind the scenes, there was already a lot of communication going on within the Reds’ staff. “Franky calculates all the things, builds it into these graphs, and DJ gets them,” Abbott said. “They have their internal communication. Then, we go to them and ask what about this or that. The main thing for me is arm angle.” The data shows Abbott how his arm angle evolves from start to start. He hasn’t meant to change it. But just like all of us, our posture might be different from one day to the next. Pitchers’ arm angles can make minor shifts without the pitcher or even coaches noticing. But the data can’t miss a change like that. Abbott recognized that his arm angle had been moving around without him noticing. Now, he checks in with the data to make sure that his mechanics are in sync. “They get into these cool looking graphs,” Abbott said. “I can’t really describe them. I don’t know what they are. But for me, it’s a photo of a stick figure of myself.” The stick figure of his current positioning is superimposed over previous versions of himself. With that format, Abbott can compare his mechanics on any given day to what they were when he was pitching at his very best. “It was very noticeable from the moment I saw this year as black compared to two years ago and last year, it was very, very different,” Abbott said. “I could see with my eyes without having to ask any questions about the difference in the photos.” For any pitcher, there are a lot of moving pieces in your delivery. For Abbott to be the best version of himself, he needs his head, his arm, his hand, his knee and his feet to be on the right “tempo.” “Tempo is a word I’ve used a lot,” Abbott said. “Getting everything in certain areas working together.” He has been much better at that recently. The data backs that up, and so does Abbott’s ERA. The biomechanics data has also given the Reds’ staff and Abbott some better ideas for some training that he can do between starts. He has added drills to shore up areas of his body that Abbott needed to make stronger. “They make a plan based off what they see,” Abbott said. “If things start changing, we know what to revert back to.” Overall, Abbott says that he’s not a very analytical guy. There’s so much information out there, and he says that it’s important for him to not get too analytical when he breaks down his specific pitches. He has learned the value of being “analytical about mechanics.” And the way that the Reds presented that information to him made it easier for him to make the right adjustments without being overloaded by information. “It was a very simple fix,” Abbott said. “It took a long time to finally get there, feel the results and see it. But for the most part, it was very simple to apply it.”
Brad Raffensperger can’t outrun 2020 election. Neither can Georgia politics.
It's been six years since Donald Trump lost Georgia. But that election is still driving campaigns in both major political parties.
Chartbook 449: Voldemort on Threadneedle street. The Bank of England and the "haunted house" of English politics.
Imagine the scene: In some Harry Potter version of 21st-century London, a group of deathless UK Treasury officials gathered from across the last century huddle over warm pints and glasses of Chardonnay. Around the table there are officials from the 1920s, the 1930s, the 1970s, 2022 and today. Inevitably, in May 2026, the subject of conversation is the disintegration of the current Labour government. Despite its huge majority in parliament, it has been reduced to tatters by catastrophic local election result. These exposed the fact that rather than having a government with a clear popular majority, the UK is like most other modern societies divided into 5 segments each of which commands between 26 and 16 percent of the vote. Perhaps unsurprisingly, the leadership at Nos 10 and 11 Downing Street - where the Prime Minister and the Chancellor (Treasury Secretary) work - seem paralyzed. They are caught between mounting discontent over unfairness and the cost of living, and tough fiscal strictures that push them into making unpopular spending decisions. In the London pub, the Treasury officials from across the ages, can barely hide their satisfaction at the latest display of democratic politics caught in the vice-grip of financial logic. “Remember the mur d’argent and the banker’s ramp?” “Just like yesterday!” There are smirks around the table. Then the representative of 2026 pipes up: “One thing you have to say about the current lot (referring to the latest hapless Labour government), you don’t have to teach them about the bond market!” There is a murmur of ascent from the Treasury Mandarins. The trauma of the fiscal crisis of September-October 2022 sits deep. Back then, in the final stages of Tory decay, a ‘mini budget’ that challenged fiscal orthodoxy led to a brief but fierce panic in one of the oldest government bond markets in the world (aka gilt market). Now all you have to do is to mention the “bond market” to hush debate. [ Paul Mason@paulmasonnews In the name of public service, and as ex-economics editor of BBC Newsnight, I offer to do a zoom call, tonight, with any Labour MP who wants to understand why bond markets do not "fall into line" with governments. 1/ 3:57 PM · May 12, 2026 · 466K Views 224 Replies · 674 Reposts · 3.93K Likes ](https://x.com/paulmasonnews/status/2054229532404519082?s=20) “And the funny thing is”, the young man in the huddle continues, “they don’t even want to talk about … ”. There is a sudden hush. Significant looks are exchanged around the table. About? One of the senior figures puts down his glass with a decisive “clink”. He-Who-Must-Not-Be-Named has entered their thoughts. Meanwhile, a few miles away in a grubby pub in Bloomsbury, two conspirators from the camp of Critical Macrofinance huddle over cans of low-alcohol IPA. They look at each other and blurt out loud: “The Bank!” “Everyone in the bloody Labour party is talking about the bond market. But why aren’t they even mentioning … the Bank of England!?” “Why is no one talking about Voldemort?” In Paul Mason’s blogpost, after much chest-thumping about basic fiscal logic, the basic point about the Bank of England is buried in the fine print at #3 in his list of suggestions as to what a radical Labour government might actually be able to do! [ Conflict & Democracy Down with the bond market! Down with gravity! It may seem unfair to focus on Labour MP Paula Barker for her off-the-cuff assertion that the bond market would have to “fall in line” with Andy Burnham, should he replace Keir Starmer as prime minister. But Burnham himself told the New Statesman that Labour had to “get beyond this thing of being in hock to the bond markets… Read more 2 days ago · 100 likes · 3 comments · Paul Mason ](https://htsf.substack.com/p/down-with-the-bond-market-down-with?utm_source=substack&utm_campaign=post_embed&utm_medium=web) Back in Bloomsbury they shake their heads and ask: “Didn’t we learn anything from the Eurozone crisis?” Meanwhile, as if summoned to the conversation by some higher force, the “pink pages” announce: “The days of ultra-cheap government borrowing have come to an end” and Martin “Whizzard” Wolf publishes the graph of the season Look at the UK in 2026, perilously positioned on the upper edge of the pack. No wonder no one in London needs any lessons about the “bond market”. But, look again. Imagine how they feel in Rome. What is London’s nightmare in 2026? The nightmare is that you end up like Italy in the early 2010s during the Eurozone crisis. Once comfortably situated in the middle of the pack, watching with horror as your ten-year yields explode to 7 percent and “spreads” become a national nightmare. One of the largest economies in Europe, a founding member of the euro, stigmatized. But the message of the Italian experience is ambiguous. After all, the stigma didn’t last. In 2026, Italy borrows at rates lower not only than the UK but the US. The US, which, as everyone knows, enjoys the “exorbitant privilege” of being the issuer of reserve, safe asets. What kind of magic is this? How did Italy, in the space of fifteen years, go from being good, to bad and back again? Which brings us back to our dissident friends in their Bloombury boozer and their memories of the Eurozone crisis. Italy never was Britain - with its ongoing fiscal deficits. Without interest payments, on primary balance, from 2000 to 2020 Italy ran a tight fiscal ship. Even in 2008 it barely went into deficit and when it was being put on the rack in the early 20210s its primary surplus matched that of austere Germany. So, what happened? How did it end up stigmatized? Of course Italian politics didn’t help. Berlusconi was at the helm and he had legal issues. But amongst friends in the Bloomsbury pub, Berlusconi is a sideshow, the name we whisper to each other is “Trichet”. From 2004 to 2011 the ECB was headed by Jean-Claude Trichet, ex of the French Treasury, more German than the Germans. After 2009 as the news of the Greek fiscal disaster broke, the European bond markets wento into panic mode and Trichet began a brutal game of cat and mouse. Between 2009 and 2011, Trichet intervened in the bond market to help, only when he thought he had compliance with austerity. When he thought they were uncooperative, he withdrew. In the summer of 2011, he even made direct suggestions to his Italian counterparts in Rome, as to how Italy should be governed. It was this cat and mouse game that drove the bond markets crazy and exposed Italy to a violent squeeze. When Mario Draghi took over the ECB at the end of 2011 and declared “whatever it takes”, the pressure on Italy, gradually eased. It is that starring role that has made Draghi into the towering figure in European politics that he remains today. So now you see why voices in London hush when it comes to the Bank of England. “The bond market” isn’t an irresistible objective force like the weather or an avalanche. It can appear like that. But that depends on the way it is being handled, or not handled by the central bank. Which is why the silence about the Bank of England in London right now is so significant. If you think this all sounds a bit fishy, coming from a left-liberal Keynesian like myself, well, let me introduce you to Robin Brooks, who, to put it mildly, plays on a different quidditch team to me. Here, from the position of a fiscal hawk is Robin’s celebratory account of the Bank of England’s role since 2022; In October 2022, at the height of the bond market blow-up in the UK, something incredible happened. Governor Andrew Bailey told British pension funds the Bank of England would end its support program for the country’s fragile gilt market, drawing a line under how much help the central bank was willing to give to exposed pension funds and - implicitly - the government. By the end of that week, Kwasi Kwarteng - the finance minister - had resigned. Prime Minister Liz Truss would soon follow. This episode is so incredible because it contrasts with what happened in the Euro zone earlier that year. Bond markets in Spain and Italy were under pressure amid high inflation and rising interest rates. In the middle of this, Mario Draghi - Italy’s Prime Minister - resigned, compounding pressure on bond markets of high-debt countries on the Euro periphery. Unlike the Bank of England, the ECB caved. It bought Italian and Spanish government bonds in an effort to cap yields and introduced a new tool that signaled to markets it might do such caps more frequently going forward. Faced with pressure on bond markets, the ECB capitulated to political pressure from high-debt countries like Italy and Spain. The Bank of England stood its ground and toppled the Truss government. This kind of thing has long-lasting consequences. It means markets price a higher probability of yield caps in the Euro zone, which keeps Italian and Spanish yields artificially low, while markets feel free to push up UK yields without fear of central bank intervention. As I flagged in yesterday’s post, this means you really can’t compare UK yields to those of other high-debt countries. The UK looks worse, but only because its central bank isn’t interfering with markets. There’s more to this than just that 2022 episode. The Bank of England has also been much more aggressive in its quantitative tightening (QT) than other central banks. If one motivation for quantitative easing (QE) is to lower bond yields - especially longer-dated ones - then it stands to reason QT pushes yields up. The left chart above shows a four-quarter moving average of UK government debt issuance (black line) in percent of GDP and which sectors absorb this issuance, including the Bank of England (blue bars). The right chart above compares the Bank of England’s accumulation or run-off of government bonds (blue line) with that of other central banks, where this blue line is the same as the blue bars in the left chart. The Bank of England was quicker and more aggressive than other central banks in downsizing its bond holdings, so UK yields will have risen more than elsewhere also for this reason, not just because of Governor Andrew Bailey’s remarks in October 2022. Back in October 2025, after a conversation in New York with friends in British politics, my sense of dysphoria was such that I raised the issue of the Bank of England openly in the FT Since 2008, the UK has slid into a deep economic and political predicament. Growth has stagnated to a degree far worse even than in the 1970s. The Tory leadership’s wager on the Brexit referendum spectacularly backfired, leaving the UK isolated from Europe and at the mercy of its special relationship with the US, many of whose political class regard the UK as a basket case. After years of austerity, the Labour party lurched to the left and then back to the centre. The Tory party has been eclipsed by the populist nationalism of Reform. Any British government should be worrying first and foremost about how to restart growth. Instead, Keir Starmer is beset by shades of the gilt market panic triggered by the Liz Truss government in 2022. The debt level is higher than in recent years, but there is no cause for panic. UK debt is at far from critical levels and of long duration. Whether you want to “take back control” or launch progressive economic policy, a democracy dogged by fear of bond market vigilantes is unhealthy. In a country that is a monetary sovereign, this climate points to one thing: a disconnect between the government and the central bank. Since 1997, the independence of the Bank of England has become a sacred cow. But independence is what you make of it. And in the wake of the gilt market crisis of September 2022, relations between the Bank of England and the UK government need a reset. In normal times, there is no doubt that an inflation-targeting independent central bank can serve a country well. But since 2008, the UK and other advanced economies have not had the luxury of such simple problems. To their credit, central bankers around the world have not stood on orthodoxy. After 2008, the US Federal Reserve rescued the global banking system and, through quantitative easing, it stabilised the Treasury market in the face of huge deficits. In Europe, things were trickier. Both the Bank of England under Mervyn King and Jean-Claude Trichet’s European Central Bank played cat and mouse with national governments. This was a high stakes wager that between 2010 and 2012 escalated bond market tension and triggered a disastrous turn to austerity. Shaken by the impact of those shocks, their successors, Mark Carney and Mario Draghi adopted a more protective stance (assuming you were not the government of Greece). Recall that Draghi’s legendary slogan, “Whatever it takes”, was uttered to face down the City of London’s bond vigilantes. In 2015, Draghi launched QE — financial repression by another name. In 2016, Carney used the authority of the Bank of England to stabilise markets following the vote for Brexit, an exemplary demonstration of how central banks can underpin democratic choice, even when those choices are wrong headed. All these were independent central bankers steeped in the best practice of the 1990s, who recognised that historic crises demanded radical action. It was the price surge of 2021-2023 that poisoned the atmosphere. Though the shock came mainly from the supply side, central banks ended up in the dock. Nowhere more so than in the UK. The Bank of England reacted with aggressive normalisation. Faced with a cost of living crisis, the governor called for workers to accept real wage cuts. In early 2022, as gas prices were at record levels and Russia’s army was poised to invade Ukraine, the Bank adopted a stringent programme of quantitative tightening, elevating interest rates. When the Truss government got itself in trouble, the Bank took almost a week to come to the rescue. Rather than enacting a charade of normality, it is time to recognise that in 2025 the UK faces a period of historic transition. To meet this challenge, what is needed is a new concordat with the Bank. This should not ignore inflationary pressures or the long-run trajectory of debt, but should affirm the priority of reviving investment-led growth. One could follow Donald Trump in demanding interest rate cuts. The Bank could shadow the ECB in its commitment to capping Eurozone yields. But the top priority should be to lay the ghost of September 2022. The Bank’s slowing of QT last month was a concession. An immediate and complete end would send the right signal. Such a concordat will not by itself restore sanity to politics, solve the housing problem or rebuild the NHS. But it would help to lift the fear of bond market crisis, which is paralysing the effort by democratic politicians to answer the fundamental questions facing the nation. Now, that call for a new concordat between government and Bank of Englands seems more urgent than ever. The problem is that in October 2025, Starmer still had some authority. Today the government is in tatters. And when you are the “under the harrow” - to echo a phrase of Montagu Norman’s from the 1920s - it is the worst possible time to consider institutional change. To make general arguments at a time of crisis can only seem like special pleading rather than a general argument for long-term change. The same, unfortunately, is also true for the other basic institutional reform that Britain urgently needs i.e. the abolition of the out-dated first past the post electoral system and its replacement by a moderated form of proportional representation. And thirdly - whilst we are saying the quiet parts out loud - Britain needs to reopen the question of EU membership. What the local election results of 2026 show is that this remains a key issue. And what they also show is that there is a clear majority that would favor a return. Until these basic features of Britain’s political economy are addressed the country will carry on its politics as though in a haunted house, governed by governments that lack actual majorities, conjuring up false constraints whilst ignoring the real ones. This one is for DG and MI. I love writing the newsletter. If you enjoy it too and fancy buying me a coffee once a month, you know what to do. Click below! Subscribe
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We’re looking for general contractors, electricians, landscapers, janitorial, construction suppliers, architecture, farms and engineering firms.” Little said, much like businesses in every industry, Veterans are often in need of assistance getting their foot in the door.“When Veterans are starting up, they have to know what resources are [available],” Little noted. “They have this ample amount of resources, but they need to know how to get started.” Identifying those resources and connecting Veteran business owners with opportunities and business development programs are made possible by the partnership between PWC and VBOC, Little said. The partnership has allowed the expo to flourish, she added.“There are opportunities, there are consultant workshops and different things that we partner with them for all the time,” Little said. “It’s about easing that transition because starting a business is hard. Having the dedication to continue after that first year is even harder right now.” That is why, Little said, the partnership with resources from Fayetteville State University brings decision makers to the table. “If you are a Veteran business owner, you may not know how to do business with PWC or the City of Fayetteville or FSU, or partners,” Little said. “‘Where do I get started?’ ‘How do I get contracts?’ Bringing people to an understanding and then having an opportunity like this, where you’re talking to that person who’s making the decision… that is our goal.”Those meetings between Veteran-owned businesses and other decision-makers will present a chance to showcase products and services directly to organizations seeking qualified vendors and capable partners, Harris said. Agencies and contractors, he added, can meet and engage businesses ready to support upcoming needs. Little said PWC and all of its departments, as well as the City of Fayetteville, and FSU will be on hand. 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‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
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Punk Politics/Camp Costume is a fashion exhibition curated by (some of my) brilliant Parsons students!
I have the most amazing students. I teach Fashion Journalism at Parsons, as part of its MA Fashion Studies degree, though I have students of all different disciplines throughout the New School in my class — from fine-art photographers to investigative journalists to textile designers. And I learn about all sorts of fascinating things from them, like that designers are adding faux sweat stains to their garments now (part of a trend piece about “anatomy core”) and that real “French girl style” is actually about being “cunti cunta” (aka loud, rude, too much, liberated). So when I found out that some of my students were curating a fashion exhibition opening tonight(!!!), I just knew that it would be brilliant too. Wearable Art is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe It’s called Punk Politics/Camp Costuming1, and it’s up through May 10 at La Sudestada, the wonderful gallery and concept store in Greenpoint, Brooklyn. I asked the exhibit’s lead curator, Ella Birney (a talented costume and knitwear designer from Belfast who also happens to be in my class), all about it. This conversation has been edited for length and clarity. Tell me about the idea of this exhibition and how it came about. Ella Birney: For our Fashion Curation class, we had to pitch [exhibition] proposals to our professor, Jessica [Glasscock], and I really wanted to continue on the themes that I was exploring in my BA when I was studying in London a couple of years ago. My BA was very punk-inspired and very political. Everything I do, as you know from my writing, always has a slight Irish, political twist to it2. So in my BA project, it was looking at knitwear as a conveyor for exploring political identity in somewhere like Ireland, where identity is such a point of contention. And looking at the images that I generated from that project, there was something so camp about the whole thing. Like, it’s so playful and in bad taste to do a political message — like a knitted Union Jack — out of mohair. There’s something very camp about that. So that’s where it kind of became punk politics/camp costuming — looking at how from the 1970s to now there’s been protest through costume and clothing. What was your BA in? It was fashion textiles, knitwear. Very craft heavy, which — craft is never taken seriously either. That’s also a kind of spin [on the punk/camp thing]. The Union Jack knit that you made is included in the show — what is camp about knitting a Union Jack out of mohair? The whole ethos of camp is kind of bad taste, doing things that are tongue in cheek and a bit wink, wink, nudge, nudge. Like, this is a bit silly. Everything I do is like, this is a bit silly. Like, being from the North of Ireland, everything you do is political. So it’s like, everything is going to be looked at in a certain lens anyway, so we may as well lean into it. So the Union Jack was because I come from a mixed marriage — Protestant-Catholic. And in the North of Ireland, that’s still a big deal. And even though I’m a Catholic and brought up in a very like Catholic Nationalist family, there [were] Union Jacks [the symbol of the United Kingdom] on my street. So I was like, then I’m gonna make your Union Jack out of knitwear. And then that kind of all linked back to the punk movement that Vivian Westwood forefronted in the late 70s, [with her stores] Let It Rock and Seditionaries. How did you source your items? Once we decided on this exhibition idea, everyone in the class was put to [think about] what do you think can fit into punk politics/camp costuming and finding designers that fit that brief. Me and my co-curators, Dulcinea Flores and Allison Gramando, made a brief to send out — with a mood board and color stories, stuff like that — and then everyone kind of got to work emailing people. We reached out to other Parsons grads. Even through Instagram stories we’ve been able to reach so many people who were like, Yeah, of course, I’ll write something for this, or Please — let me submit stuff. It actually was quite easy sourcing things. … The Parsons thing gets you quite far. What were some great pieces you got? There’s a Brooklyn-based, nonbinary artist called Buzz Slutsky. I can’t even remember how I found them, but I came across this crazy, shoe thing — they had made all these different shoes out of papier-mâché, and the story behind them is so fantastic, so interesting. They were just so obliging, like, Of course, you can have these for a few weeks. I was really happy about that. And then we have art from a collective here called Art Comes First. And they lent loads of really amazing pieces that just tied everything together. You have your Union Jack knit in the show too. Any other pieces that you made? There’s three of my BA mohair knits. There’s the Union Jack. There’s a mohair with the word “No” — which is based on an old political campaign in Ireland that was “Ulster says no to sodomy.” And then there’s another one that is red, white and blue, like the Union Jack, but has the word “Catholic” on it and lots of holy medals. I’m so happy I got to include those. How many pieces are in the show? Between 49 and 52, something like that. A load of clothing and accessories, shoes. There’s a Brooklyn-based Irish photographer who’s given us photos. There’s also a shopping cart that is an art piece by Art Comes First that has gold knuckle dusters as the handles. There’s also lots of T-shirts, original pins from the 70s and 80s that were from people’s dads. I also brought my record player, and all of [co-curator] Allison’s dad’s original albums so everyone could play records. Oh my gosh! Yeah, it’s cool. Anything else you would like to add? If we get to do an exhibition, why would we not make it political in this day and age? I hope that people come. There’s a lot of history, because it starts back in the 70s. It’s not like chronological or anything, but there are historical objects. I hope people come out of it thinking, out of all the really horrendous decades of the 70s and 80s and 90s, all these amazing subcultures happened. There are horrible political times, but there’s art that comes out of it that lasts. Punk Politics/Camp Costume is on view May 1-10 at La Sudestada, 67 West St. Suite 513, Greenpoint, Brooklyn. RSVP for the opening Friday May 1 6pm-8pm here. There’s also a button-making and patch-making workshop and artist talk May 9. Follow the show’s Instagram page @punkxcamp.parsons. Special shout out to all the students who put on this show: Ella Birney (lead curator), Dulcinea Flores (curator), Allison Gramando (curator), Pierre Sanon (lead exhibition designer), Eliana Daneshvari (exhibition designer), Reilly Lowell (editor), Jess Gayo (researcher/writer), Joyce Gayo (researcher/writer), Maria Magdalena Ugarte Montero (researcher/writer), Cassidy Colarik (exhibition press officer), Shelby Shovein (educator), Sarah Mahnke-Baum (educator), Trinidy Coleman (graphic designer), and Leonie Soravia (project manager). Jessica Glasscock was the faculty advisor. 1 The website is definitely worth checking out. 2 This is true!
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Viewpoint: A career in science is possible, and worth it
Starting a career in science is exciting, but also demanding, with researchers often faced with intense competition, long working hours and high levels of stress. A pioneer in the field of mass spectrometry, Carol Robinson has been there. She speaks with Science|Business on the importance of creating a supportive environment, particularly for women.Robinson did not wake up one day thinking that she would become a scientist. It was only late in school that she developed an interest in chemistry. “The more you work at something, the more you think, actually, this is fascinating. So, I went much further and deeper than I ever needed to pass the exam. And then I loved it,” she says. “I thought, I’m going to give it my all. I’m going to enjoy it while I’m here. But I didn’t think this would be my career for 50 odd years.”She left school at 16 to become a lab technician with the drug company Pfizer, which is where she first worked with mass spectrometry. Fascinated, she was encouraged to take a part-time degree and then a PhD. She went on to do pioneering work in native mass spectrometry, a technique that is used to study protein structures in their natural state, paving the way for breakthroughs in drug discovery. She also broke new ground by becoming the first female professor of chemistry at the University of Cambridge, and then the first female professor of chemistry at the University of Oxford, her current home.She now wants to show young researchers that a career in science is worth it. “Sometimes, I believe the culture isn’t very encouraging, and that’s something I have worked on,” Robinson says.In 2021, she launched the Kavli Institute for Nanoscience Discovery at Oxford, whose acronym gives a sense of what she hopes it will achieve. “Maybe it is corny,” she says. “It’s just a reminder that I would like it if we could all be kind to each other and supportive, especially for early-career researchers of either gender, because there’s quite a big attrition rate in science, and maybe it just doesn’t feel like a very friendly place to work.”And yet, a career in science comes with a lot of flexibility. “There are few careers where you have that amount of freedom, to go to conferences, to the library. Just because you didn’t see me didn’t mean I wasn’t working,” she says. “And I’m excited to come in every day. So, I don’t want people to think it’s a terrible place.”Gender equality is also important when it comes to the quality of science as a career. “The more women we have, the better it becomes,” Robinson adds.Imposter syndromeAccording to EU data, women outnumber men in university education but account for just about a third of graduates in science, technology, engineering and mathematics (Stem). And while the number of women working as scientists and engineers in the 27-member bloc is on the rise, their representation remains below that of men, at 41%. This discrepancy is even more pronounced in top-tier functions across these fields, where women fill just 20% of positions.Having supervised many young scientists, Robinson sees that women continue to have a greater propensity than men to doubt their abilities, a feeling she once shared. “When I was doing my PhD at the University at Cambridge, I really felt like an imposter,” she says. “I don’t think I ever felt I deserved to be there or owned it and was proud. I just thought I was lucky.” Later on, she adds, “I was always that person who said, I can’t apply yet because my CV is not strong enough.”She has now made it her job to encourage women to break with this imposter syndrome. For example, rather than calling for volunteers to give a lecture in the groups that she mentors or teaches, which nearly always results in men stepping forward, she goes straight to the women, “because I know they won’t push themselves forward.”But the gender gap in science is not just down to imposter syndrome. The “obvious” reason, Robinson says, and the reason that is on everybody’s mind when discussing workplace gender equality, is the balance between work and raising a family. Her own path was to choose between the two, taking an eight-year break after completing a postdoctoral training fellowship to bring up three children. And she continues to advise women not to work part-time while they raise a family. “You’ll just get half the pay and continue to work full-time because you are not able to fit everything in,” she says. “You should be able to have a family and come back to have the career that you want.”The solution is for men to also take career breaks. “That kind of evens it up, so that it’s not such a big thing for women,” Robinson says. “I always encourage men in my groups to do that. I think it’s important to take your share of the duties.”Support produces resultsAccording to the Women in Stem Network, a UK advocacy group, countries with strong childcare systems and equal pay policies retain more women in technical careers. In Europe, these are primarily found in the Nordic region and parts of central Europe.At the EU level, the European Commission asks all Horizon Europe applicant organisations to have a gender action plan in place. Since this criterion was introduced in 2021, the share of women leading consortia has increased to 31%, against 23% in Horizon 2020. Their overall participation, however, has risen just 1%, to 38%. After trying to weaken the requirement for gender action plans in 2025, the Commission now intends to adopt a plan for supporting women in research and innovation.Related articlesCommission scraps plan to water down gender requirements in HorizonHow gender balance can swing who wins Horizon Europe fundingRobinson herself has benefited from three Advanced Grants from the European Research Council. “I was extremely honoured and privileged to get those, because they really allowed me to fuel my passion,” she says. “Without that, it would have been a much harder slog.”Beyond applying gender rules, she says that more work is needed on translational enterprise, where women are, once again, largely underrepresented. The European Patent Office found that only 13.8% of applications were filed by women in 2022. “We have so many more women doing amazing science; why do they feel it’s not a thing to have a company?” she asks.She founded her own spin-out company, OMass Technologies, in 2016, and remains chair of its scientific advisory board now that it trades as OMass Therapeutics. As for research, Robinson is now studying how changes in the brain may be linked to depression, using port-mortem tissue. “We’re hoping to publish soon,” she says. “We had to consult with a lot of people who knew a lot more about the brain than we did. So, we’ve learnt a lot, and that’s always a lot of fun to learn a new thing. That’s what keeps you going.”
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