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Waze is finally getting a visual upgrade people have been asking for
Better late than never
What's New in the iOS 27 Photos App
The Photos app is one of a handful of apps that Apple paid extra attention to in iOS 27. It has multiple improvements to performance, and several quality-of-life upgrades. There are also new AI photo editing tools that use Apple Intelligence. AI Tools There is a set of AI photo editing tools in the Photos app, accessible by tapping on the icon featuring three sliders, and then selecting the Apple Intelligence icon labeled "Tools".
Wanya Morris trade grades: Falcons acquire young Chiefs OT in late-round pick swap
Atlanta has welcomed two former Kansas City right tackles this offseason
APSU formalizes partnership with University of Belgrade’s Faculty of Political Science
Austin Peay State University (APSU) has formalized a significant new international partnership with the Faculty of Political Science at the University of Belgrade (FPN), one of Serbia's most distinguished university faculties and home to a 21-year-old Center for American Studies.
Soldiers have a new app for mortar firing solutions
Picatinny Arsenal says troops are finding the app easy to use and modern, picking up the upgraded system with little training.
Who evaluates the evaluators? The data science behind agent evals
Learn how Copilot Studio approaches AI agent evaluation with generated data, grader validation, and scalable testing that improve agent quality.
Apple Maps to Get These 10 New Features in iOS 27
Apple Maps is getting a range of new features in iOS 27, headlined by an upgraded Flyover experience that uses AI to improve the realism and detail of its aerial imagery. Flyover is a longstanding feature of Apple Maps and lets users explore more than 350 cities in 3D with detailed landmarks, roads, parks, and buildings. Apple described the enhanced Flyover in iOS 27 as combining aerial imagery with AI models to produce sharper, more lifelike visuals of cities around the world.
INTERVENT International and Brand Engagement Network Launch INTERVENT Health AI, Inc., Combining 25+ Years of Clinically Validated Health Coaching with Enterprise-Grade Conversational AI
/PRNewswire/ -- Brand Engagement Network Inc. (NASDAQ: BNAI) ("BEN" or the "Company"), a provider of secure, enterprise-grade artificial intelligence for the...
RadNet secures $250M new loan, gets downgrade from Moody’s
The ratings agency contends RadNet is constrained by its geographic concentration in 11 states and high fixed costs, including sizable interest expenses.
Yet more layoffs reported at Ubisoft, this time in San Francisco
On the same day as Ubisoft announced it was closing its studios in Winnipeg and Belgrade and proposing further changes …
Intel’s Project Firefly Takes The Best of Phones To Build Laptops In A Slim 12.9mm Metal Chassis With No Vents
Intel's Project Firefly aims to deliver premium-grade budget laptops with Wildcat Lake SoCs and a metal chassis, targeting affordability.
iOS 27 gives FaceTime huge upgrade with this powerful new feature
FaceTime is getting one of iOS 27’s biggest upgrades thanks to a powerful new feature for compatible iPhone models: dual camera.
Maryland District Shops Elementary Science Curriculum; Texas System to Buy K-12 Instructional Materials
A Maryland district is looking for elementary science materials, while a Texas school system seeks instructional materials and teacher aides across grades and subjects.
How AI Will Change the Job Market—and Boost These Health Insurance Stocks
Barclays upgraded its rating of Oscar to overweight, a buy equivalent, and reiterated its overweight rating on Centene in a new research note.
Ubisoft closing studios in Winnipeg and Belgrade and cutting publishing roles worldwide, 380 jobs at risk
Latest round of cuts includes refocusing Barcelona studio on Rainbow Six, with an unknown number of roles affected
Ubisoft cutting jobs and shutting Winnipeg and Belgrade studios
The French publisher could eliminate up to 380 roles.
Ubisoft Closes Belgrade Studio, 100 Employees Let Go
Ubisoft has closed its studio in Belgrade, Serbia. The shutdown will result in all of its employees being let go.
Here's What's In The 'Premium Upgrade' Editions For Fable, Gears & Halo On Xbox
Early access being one of the major perks
Google TV Streamer update unlocks a major hidden upgrade for your smart home setup
The Google TV Streamer received its first major 2026 update, adding the April patch and Thread 1.4 for a convenient smart home experience.
New OMB rule could break science in the United States
The drug that saved your mother. The treatment your doctor recommended. The clinical trial that bought someone you love more time. None of it was inevitable. It required a system built to operate outside politics and sustained over decades, because science doesn’t operate on the timeline of a politician. That system is now under direct threat. The Office of Management and Budget (OMB) has proposed a new rule to regulate all federal grants, not just science, but housing, education, defense, NASA and everything in between, that would fundamentally change how research is conducted in the United States. There have been a lot of fires in the past 16 months, and if everything is an emergency, nothing is an emergency. But this is a very big deal. These rules would strip away the independence that has kept science from becoming a political tool. The good news is there’s still something we can all do. How the grant system was designed to work When I was a new faculty member, I was full of millions of ideas, so I sat down and wrote an NIH proposal. I worked on it for months and thought it was so good. Then I sent it to my mentor. It came back covered in comments. Places where my reasoning wasn’t as airtight as I’d thought, methods that could be stronger, gaps in my thinking that I had been too close to the work to see. It stung, as honest feedback always does, but peer review almost always makes the work better. In fact, it’s the backbone of how American science has functioned for generations. At NIH, submitted proposals go to a panel of scientists who have experience in the field. These are the people who can read research methods and spot their weaknesses, who understand when an experiment is designed well and when it isn’t. Applications are scored rigorously, and often only the top 3-20% of proposals receive funding. The people making funding decisions are required to justify them based on these reviews. To be clear: this is not a perfect system, and good science still goes unfunded more often than any of us would like due to limited resources. There is also criticism that peer review may undervalue bold ideas that are risky but could have high payoffs. But the peer review system is nonetheless a meaningful part of the grant selection process. While thoughtful and careful changes could improve the system, the changes being proposed by OMB will not make things better. The rule that could change everything Through this OMB proposal, the system that helps decide what gets funded is being dismantled. There are many troubling elements buried in this proposal, but three provisions stand out in particular. Each would be damaging alone. Together, they would change what kind of science gets done in America, and who it serves. 1. Political appointees would decide which science gets funded, and peer review would be explicitly sidelined or ignored. The guidelines your doctor follows, the standards that determine what’s in your air and water, the drugs that get approved for your family: all of it starts with a funding decision. Right now, that decision is made by scientists who can evaluate whether the work is actually sound and whether it could move the needle forward. Under this proposal, funding decisions could be made by political appointees. The careful, expertise-driven review process that shapes grant funding would be effectively sidelined. That means that a poorly designed study could get funded simply because someone in a political office liked the sound of it, while rigorous, important work doesn’t get funded because it no longer aligns with the administration’s priorities. In other words, critical work that benefits all of us could now be missed just because it has become politically inconvenient. 2. Grants could be canceled at any point, without warning, in the middle of ongoing work. Say your tax dollars have been paying for a cancer study for two years. The grant was awarded for five years, so the team is mid-experiment. There are three additional years’ worth of answers that could change how the disease is treated for hundreds of thousands of people. With this new rule, the federal government could cancel the remaining funding tomorrow, walk away from the commitment it made with your money, and have no legal obligation to finish what it started. This is a huge waste of money. There are rarely other sources of funding for this work, which means the team, the graduate students, postdocs, and research staff who have dedicated years of their careers to this project could lose their jobs. Patients who have contributed their time to studies may not see it turn into useful learnings for others. Every hour of work already completed could result in nothing useful. Science can take decades to get to tangible outcomes. It needs a stable funding system to flourish. 3. Researchers would have a harder time communicating their findings without pre-approval from the federal government. There is a saying from Sir Mark Walport: “Science isn’t finished until it’s communicated.” Science is no use to anyone if it is kept locked away in the labs that produced the data. The proposed rule could make communicating research findings harder in a number of ways: Make it harder for scientists to widely share their findings in scientific journals. Publication costs, including journal fees that allow for broad public access, could not be paid for by federal funds which is often how scientists pay these costs. Restrict researchers from engaging publicly about how their findings should inform policy or public health guidelines. This would restrict scientists from doing the work that transforms years of lab work into decisions that actually affect people’s lives. Make it harder for scientists to attend conferences. Conferences would now need to be approved by the federal agency at the time of grant award. This disadvantages conferences or publications that are not politically aligned. Conferences are a key way in which scientists learn about work happening in their field so they can collaborate and build on each other’s findings. What good is science with a muzzle? The long-term impact These changes could (and hopefully would) be reversed under the next administration. But by then, damage has been done. Once projects are halted or denied funding by political appointees, people leave their science careers for other paths or even leave the country to do their amazing science elsewhere. You cannot pause a scientific study the way you pause a subscription you decided isn’t useful anymore. You cannot freeze a research team that depends on salaries to feed their families, causing a scramble for replacement funding that, in most cases, simply does not exist. When the money stops, everything stops, and all the work in progress and its potential are lost. Despite all of the language about reducing waste, fraud, and abuse, this new proposed rule increases the administrative burden tremendously. Every researcher watching this unfold will make a rational decision: don’t start anything that will take a decade to finish. This includes not building a team around funding that could vanish, or asking the big questions that need patience and stability to answer. The most consequential science, the kind that produces the treatments and the breakthroughs that reach your doctor’s office twenty years from now, is exactly the science that would be abandoned first. This is still a proposal, so we can all do something Some worry this rule is already a done deal. But by law, OMB is required to open a public comment period. Those comments matter because they inform members of Congress, they can be used in litigation, and they create a public record. So here’s what you can do: Submit a public comment. The public comment period on this proposed change is open until July 13. Anyone can submit a comment, and OMB is required to respond to substantial ones. Each comment must be different to count as distinct; identical comments will be counted only once. Comment as an individual, not on behalf of your organization. Here’s a full resource to help you, with useful examples, but in general: Share a story about how science or federal funding has benefitted you or is involved in your work. Are you or someone you loved a cancer survivor? Do you know someone with Alzheimer’s? Have you received NIH/NSF or other federal funding? All of these can be stories you use to highlight why you care. Explain why you’re worried about these proposed changes. You can use the wording found here or in other resources to help you. Ask them to withdraw this proposed rule. Contact your elected representatives. Congress allocates money to federal agencies to spend, and it has oversight of how that process works. You can let your representatives know this proposed change concerns you and ask them to intervene. There are levers they can push that can help at this moment. Let others know why federal funding matters. This isn’t just about science, but ALL federal grants, including for education systems, defense projects, and more. The process, including the importance of federal funding, is invisible to many. We can all make it more visible by sharing how science benefits us and why we value it. You can also share this article, or any of the resources linked here, to help spread awareness! Bottom line We are quickly losing ground in scientific research in the U.S. More changes, like the proposed rule by OMB, would decimate our ability to conduct research here, leaving us all worse off: fewer treatments for pancreatic cancer, less research on pollution impacts, fewer answers for patients with rare disease, and more unaddressed health needs. The impact will be very real for all of us, regardless of where we stand politically. Using our voices for science is more important than ever. Love, LM Big thanks to Dr. Megan Ranney for reading this over and providing brilliant insights, as always. Dr. Liz Marnik, PhD, is Executive Director of The Evidence Collective at YLE and a science communicator and immunologist working at the intersection of public trust, science, and public health. You can find her on Substack, LinkedIn, Instagram and Threads. Your Local Epidemiologist (YLE) comprises a team of experts, ranging from physicians to immunologists to epidemiologists to nutritionists, working together with one goal: to “Translate” ever-evolving public health science so that people are well-equipped to make evidence-based decisions. The YLE suite of newsletters reaches over 475,000 people across more than 132 countries. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe
Xenoblade Chronicles 2: Torna - The Golden Country Free Switch 2 Upgrade Confirmed
Returning next month
NBA Finals: League said it missed foul after Victor Wembanyama shoved Jalen Brunson early in Game 3 win, won't upgrade to flagrant
The Top New Features in Apple’s iOS 27 and iPadOS 27
Apple took the wraps off iOS 27 at its WWDC event, and the iPhone update is chock-full of smart upgrades, with a big focus on improvements to Siri.
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...
Colorado maternal care grade drops
Rural care gaps and limited treatment options remain major barriers.
watchOS 27 Introduces Workout Buddy Upgrades, Better Sleep Tracking, and More
watchOS 27 contains a series of enhancements to fitness and sleep tracking, including new Workout Buddy insights, improved indoor run tracking, and more. Workout Buddy is gaining new data-driven motivation features, delivering progress updates for pace, distance, and workout duration based on a user's fitness history. Apple is also enabling Workout Buddy to function without an iPhone nearby, allowing users to stay motivated during workouts without needing a phone in their pocket or hand.
Apple plays catch-up at WWDC
Apple spent much of its WWDC keynote highlighting fixes, performance improvements, and long-requested features before unveiling its upgraded AI-powered Siri, signaling that the company wants users to see AI as just one part of a broader effort to improve its software.
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.
Apple Brings AI Tab Organization and AI-Generated Extensions to Safari
Apple today unveiled a raft of Safari upgrades powered by Apple Intelligence, including automatic tab organization, AI-generated custom extensions, and new privacy-first browsing tools. The centerpiece feature is automatic tab organization, which uses Apple Intelligence to group a user's open tabs into relevant topics without any manual intervention. If someone is planning a weekend trip, for example, Safari can pull all of their travel-related tabs into a single topic.
Google AI Plus Gets Shocking Price Drop, Huge Storage Upgrade
Google pulled a bit of a shock move this morning with a change to its Google AI Plus plan. Not only are we getting a price decrease to the Google One plan, there's a significant feature upgrade as...
Gemini 3.5 and Antigravity come to Google NotebookLM
NotebookLM is getting a big upgrade, but it's only for AI Ultra and enterprise accounts right now.
Apple will let you build workflows using AI in its new Shortcuts app
Shortcuts gets an AI upgrade, letting you describe the workflow you want in a prompt.
AI photo editing in iOS 27: revamped Clean Up and two new AI tools for iPhone Photos app
Apple today announced a significant upgrade to the editing features available in Apple Photos on iPhone, Mac and Vision Pro....
NotebookLM’s Gemini 3.5 upgrade adds a cloud computer and help finding sources
Google’s AI note-taking app is getting “across the board” updates.
The one tool small businesses shouldn’t overlook this year
Business-grade managed WiFi is an essential tool and one that small businesses should not overlook. Cox WiFi offers reliable and secure solutions.
Ferrari Drops Massive Two-Tenths Aero Upgrade For Barcelona Survival
Just hours after Lewis Hamilton brutally exposed Ferrari’s massive 10-month engine deficit, Maranello is aggressively firing back with the only ammunition they currently have: a massive, season-defining aerodynamic overhaul. If the Scuderia cannot match the raw horsepower of Red Bull…
Explora Wires Leslie's Lady In Stakes Record Time
Multiple graded stakes winner Explora broke quickly from the gate and determinedly turned back a late run by Eight Belles (G2) winner On Time Girl to win Sunday’s $225,000 Leslie’s Lady Stakes (L) for 3-year-old fillies by 1¼ lengths at Churchill Downs. Ridden by Florent ...
RGB LED could be the next big TV upgrade. Here's how it compares to Mini LED.
RGB LED is the latest evolution of TV backlighting. Here's how it compares with Mini LED and other modern display technologies.
Evaluating Expand Energy (EXE) After Business Shift And Barclays Downgrade
Analyst downgrade meets business reset at Expand Energy Expand Energy (EXE) is back in focus after the company outlined a new emphasis on gas marketing and commercial optimization, while Barclays downgraded the stock, highlighting a weaker gas outlook and fewer clear near term catalysts. See our latest analysis for Expand Energy. At a share price of $92.07, the stock has fallen about 15% to 20% on a 3 month and 1 year share price basis, while 3 and 5 year total shareholder returns remain...
LocaL student wins first place at Greater San Diego Science and Engineering Fair for her nature, bird-inspired research project
Captivated by a small lemon-lime songbird perched outside The Rhoades Middle School, sixth-grader Adhara Sethee was eager to focus on the species for an upcoming research project, seeking research data from the Encinitas-based Nature…
Why Oscar Health (OSCR) Is Up 10.3% After Leadership Shift And Analyst Upgrade
Oscar Health, Inc. recently amended and restated its employment agreement with co-founder Mario Schlosser as he moved from President of Technology and Chief Technology Officer to Co-Founder & Advisor to the CEO, effective June 1, 2026, while he continues to support the company’s artificial intelligence and digital health agenda and remains on the Board. At the same time, a major Wall Street firm upgraded its view on Oscar Health after Q1 2026 results exceeded expectations and reinforced...
What Changed For Red Wings Larkin?
The post What Changed For Red Wings Larkin? appeared first on Detroit Hockey Now. Shortly after the Detroit Red Wings again failed to make the playoff grade this spring, captain Dylan Larkin was emphatically […] The post What Changed For Red Wings Larkin? appeared first on Detroit Hockey Now.
Alvey named OPS instructional coordinator for math and science
Owensboro Public Schools has selected Lindsey Alvey as its next instructional coordinator for math and science, filling a district leadership role that oversees curriculum and instruction across grade levels.
Michael Carrick expected to receive special coaching help
Not only is the first team set for changes, but Manchester United also have plans to upgrade their coaching staff over the summer.After Michael Carrick agreed to take charge on a permanent basis, INEO...
HP announces the most powerful Windows AI PC ever built — Nvidia GB300 workstation can handle one trillion parameters thanks to its 784GB unified memory, but it won't be cheap
Server-grade power, now on your desk.
Brewers linked to trade for .903 OPS Nationals All-Star for drastic infield upgrade
This All-Star would be an incredible pickup for the Brewers.
Entertainment Veteran’s Venture Fund Unveils First AI Bets
Hallstone Ventures' initial portfolio includes investments in cinema-grade robots and human authentication tech
Galaxy S27 Pro To Feature Another Upgrade That’ll Make It Samsung’s Best Seller, But The Galaxy S27 Ultra Is Sadly Being Left Out
A new rumor talks about yet another upgrade making it to the Galaxy S27 Pro, and at a lower price, it’s bound to resonate with buyers
Oura Ring 5: Upgraded Smart Ring Takes Your Health, Fitness to the Next Level
Oura announced the release of the Oura Ring 5 on June 4. The new smart ring is smaller and has upgraded features to improve how you track your health and fitness. Here's what you need to know about cost, how it works, and more.
Scientists warn Trump plan to axe US ocean monitoring system will leave world ‘flying blind’
Experts say dismantling the ocean observation system will ‘severely degrade’ the accuracy of weather predictions
Charlotte Hornets 2025-26 player grades: Antonio Reeves
After making 45 appearances with the Pelicans last season, Antonio Reeves played his second NBA season with the Charlotte Hornets.
Chalkboard Champions: Lynn Wolfe making 5th grade math and science fun
Mrs. Wolfe is our Chalkboard Champion for this month!
New Philadelphia Science Camp 2026 set for July 13-17 at Camp Tuscazoar
Science Camp 2026 will be held at Camp Tuscazoar for students entering grades two-eight, with STEM activities and scholarships available.
Shokz upgraded its open earbuds with better sound and a lighter design
Upgraded earbuds that don’t completely block the world around you.
Golden State Warriors 2025-26 player grades: Stephen Curry
Despite maintaining his scoring average, Steph Curry saw a noticeable decline in rebounds and assists during his 17th NBA season with the Warriors.
Ford's quietest Bronco ever? New Filson edition packs V6 power, luxury upgrades
Ford and Filson unveiled the 2027 Bronco Filson SUV, featuring a 3.0-liter EcoBoost V6, Sasquatch off-road package and the quietest Bronco cabin ever.
WiiM launches its first ever Dolby Atmos soundbar – and its sights are set on Sonos
“Cinematic immersion and the audiophile-grade music performance"
First rural health grants in MS include building, technology upgrades
Mississippi unveiled the first initiatives funded by the Rural Health Transformation Program after experts said it was the least transparent state.
Red Sox's Garrett Crochet: Diagnosed with low-grade strain
Red Sox's Garrett Crochet: Diagnosed with low-grade strain
RWJBarnabas Health Announces $854,000 Investment to Upgrade Monmouth Family Health Center
RWJBarnabas Health today announced an $854,000 investment to upgrade Monmouth Family Health Center in Long Branch, a Federally Qualified Health Center (FQHC) and partner in delivering compassionate care to historically underserved populations. The support will allow Monmouth Family Health Center to make significant improvements to equipment, technology and supplies to better serve patients.
Microsoft’s quantum chip got an upgrade. Critics are still skeptical
Swapping materials in its Majorana 2 chip boosted the effectiveness of quantum bits that rely on the math of topology to reduce errors, Microsoft says.
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.
Jensen Huang Says Nvidia and Microsoft Just Reinvented the PC. But There Might Be 1 Problem
For years, the PC industry has been stuck in a rut. Consumers stretched upgrade cycles from three years to five or more, smartphone sales stole attention, and innovation often boiled down to slightly faster processors and better battery life. So when Nvidia (NASDAQ:NVDA) CEO Jensen Huang declares that the PC has been “reinvented,” investors should ... Jensen Huang Says Nvidia and Microsoft Just Reinvented the PC. But There Might Be 1 Problem
Golden State Warriors 2025-26 player grades: Gui Santos
Gui Santos stepped into Steve Kerr's rotation during the 2025-26 season, putting together a breakout campaign in his third year.
Immersive theater upgrade: Orlando Science Center’s Dome reopens
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EA Sports F1 25: Enhanced PSSR available alongside 2026 Season Pack
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Grade 1 Winner Connect Sold To Stand In Turkey
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The Outer Worlds: Spacer's Choice Edition continues to cause headaches as Obsidian somehow botches free upgrade deployment on consoles
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Stronghold Scores Comfortably In Triple Bend
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AMD’s Plan to Fix RAM Costs: Bring Back Bygone CPUs
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ASUS unveils ROG Ally X20 with 7.4-inch OLED screen
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The QD-OLED gaming monitor that started it all got a big upgrade
RGB stripe tech will make text look sharper.
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8 Smart Gadgets To Help Upgrade Your TV & Entertainment System
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Lightweight clash added to UFC Belgrade lineup
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Apple iOS 27 Release Date: When You Can Download And Test The New iPhone Update
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Oura Ring 5 vs Oura Ring 4: What You Actually Get for the Upgrade
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Illinois K-2 expulsion ban heads to Pritzker's desk
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An egg-cellent activity
Local fifth-graders learn about science, engineering through project
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Students can explore health care careers at Laredo College camp
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Kitchener teen wins innovation award at Canada-Wide Science Fair, fixes 35-year-old problem
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Mauna Loa Observatory Survives Lava, Budget Cuts And Politics
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Samsung Releases Free Upgrades To Millions More Galaxy Phones
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Xbox Series X and S Upgraded With 4 New Features
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Houston Rockets 2025-26 player grades: Reed Sheppard
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DuckDuckGo's 'No AI' Search Traffic Climbs as Users Reject Google's AI Overhaul
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Kuo: Apple’s iPhone camera roadmap includes a costly upgrade
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13-year-old Londoner wins top prize at national science fair for his work in asteroid detection
Thirteen-year-old Siddharth Patel, a Grade 7 student at London's Clara Brenton Public School, won the Platinum Prize in Discovery in the junior category for his project, "Automating Asteroid Detection Criteria to Strengthen Citizen Science for Planetary Defense."
Looking to Upgrade Your Setup? The Premium PlayStation DualSense Edge Controller Is Finally on Sale With a Rare $30 Price Cut During Days of Play
DualSense Edge controllers - both the black and white models - have received $30 discounts as part of PlayStation's Days of Play sale.
Stray Nintendo Switch 2 launch trailer - adventure game appears with upgraded with visuals, frame rate, 4K, and mouse controls
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iPhone 18 Pro's Camera Upgrade Will Cost Apple 50% More
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M&T Bank Stadium renovations add entertainment district
A $435 million renovation at M&T Bank Stadium will introduce an entertainment district, expanded concourse and upgraded amenities.
The Chrome browser is getting a big safety upgrade — if you use Windows
Chrome is making it safer to browse the web after logging in.
Traffic and safety upgrades coming to Philadelphia Sports Complex
PHILADELPHIA (WPHL) — On Thursday, Pennsylvania Governor Josh Shapiro, Philadelphia Mayor Cherelle Parker, and regional stakeholders announced a nearly $30 million investment in and around th…
The Rustic is officially returning to downtown Houston with bigger venue, live music and entertainment district plans
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Amex Platinum Cardholders Can Save $200 on the New, Slimmer Oura Ring
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