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Dating Coach Urges All Men to Avoid 'Worst' Hobby for Single Guys
A professional dating coach isn't holding back on the "F" tier hobby for single men in the United States. Blaine Anderson, a former travel industry worker who built a successful dating coach business,...
2026 NBA Draft grades: Updating pick-by-pick analysis from AJ Dybantsa, Cameron Boozer through Round 2
Adam Finkelstein has the breakdown of each pick in one of the best drafts in recent memory
Prime Day 2026 LIVE: all the top TV, soundbar and projector deals handpicked by our home cinema experts
Our experts are updating this page in real-time with all the best (and worst) Prime Day AV deals
Has your Pixel battery life improved after updating to Android 17? [Poll]
Have you noticed your Pixel's battery life improve since updating to Android 17?
2027 Video Game Release Schedule
We’re updating our list of 2027’s announced release dates.
Android 17 is making Pixel widgets vanish, but Google already has a fix in the works
Some Android 17 users are reporting missing home screen widgets after updating.
House lawmakers tuck into budget a $36K raise for longtime Boston politician
Ways and Means Committee Chair Aaron Michlewitz says it's to keep the $156,000 pay "competitive" for Suffolk register of deeds. But the Legislature also wants to consider consolidating registries across the state.
Adobe adds its AI assistant to Premiere, Illustrator and InDesign
Adobe is updating its Firefly AI assistant with new chops, and adding it to Premiere, Illustrator, InDesign and Frame.io.
Is your Pixel running smoother after updating to Android 17? [Poll]
How is the Android 17 performance with your Pixel, and are you experiencing a better device across the board now?
OpenAI launches scheduled tasks in ChatGPT, details here
OpenAI is updating ChatGPT with a new scheduled tasks feature. The new ability is rolling out starting today. Scheduled tasks...
Butte County Public Health launches surveys in part of 'Rural Water Safety Project'
Butte County Public Health has announced the "Rural Water Safety Project," a comprehensive two-year initiative aimed at reviewing and updating the county's wate
Stein Your Florist Co. closing Northeast Philadelphia location, consolidating business in New Jersey
“Love Island USA” is bringing Casa Amor to movie theaters
Peacock's popular dating competition will soon offer one of its most drama-packed episodes, Casa Amor, in 28 theaters.
Should You Buy Seaport Entertainment Group (SEG)?
Seaport Entertainment Group Inc. (NYSE:SEG) is one of the 6 Cheap Stocks to Buy According to Bill Ackman. Seaport Entertainment Group Inc. (NYSE:SEG) is a real estate firm focused on the entertainment sector. The shares are up by 18.8% over the past year and by 23% year-to-date. The firm has been busy in 2026 consolidating […]
Weird Science: Historian uses carbon dating to show N.C.'s most enduring mystery isn't so mysterious
For nearly a century, American school children have been taught the same haunting mystery. In 1587, a group of English colonists landed on Roanoke Island. Then, they vanished, leaving behind only one cryptic clue carved into a wooden gatepost: the word "Croatoan."In this edition of Weird Science, Public Radio East's Annette Weston spoke with a Buxton native who is using science to dispel what he said is the myth behind the truth.
Weird Science: Historian uses carbon dating to show N.C.'s most enduring mystery isn't so mysterious
For nearly a century, American school children have been taught the same haunting mystery. In 1587, a group of English colonists landed on Roanoke Island. Then, they vanished, leaving behind only one cryptic clue carved into a wooden gatepost: the word "Croatoan."In this edition of Weird Science, Public Radio East's Annette Weston spoke with a Buxton native who is using science to dispel what he said is the myth behind the truth.
Dead by Daylight 10th Anniversary Broadcast: Everything Announced (Updating Live)
As months of teases come to a head, Behaviour Interactive is ready to unpack major reveals with its big Dead by Daylight 10th Anniversary Broadcast, and we're here to gather all of the highlights.
Scientists find a whale graveyard in the Indian Ocean that’s millions of years old
Scientists have documented a whale graveyard in the Indian Ocean with some carcasses dating back 5.3 million years, and it's supporting a thriving community of marine life.
'All Night Wrong' review: Dating is hard enough without a killer on the loose
Is it a rom-com? Is it a neo-noir? Is that blood?
A submersible ride revealed a vast whale graveyard. And it holds more than just bones
Researchers found a huge whale graveyard dating back millions of years, with fossils, modern carcasses and deep-sea scavengers, some of which may be new to science.
Inside the ‘highly complex’ preparations for Trump’s UFC fight: $60M for staging, port-a-potties and other logistics
Building a televised sporting event accommodating more than 100,000 people without any existing arena infrastructure is a massive production. Doing so at the White House adds significant logistical complications.
Holding Space for Science: 100K Hours of Microgravity Science Glovebox
On June 9, 2026, the Microgravity Science Glovebox (MSG) aboard the International Space Station reached 100,000 hours of operation since its installation in the Destiny Module in 2002! This crucial laboratory facility consists of an enclosed area with the capability of accommodating experiments of many different disciplines, including those with hazardous components like bacteria and reactive chemicals. Equipped with arm inserts, this facility allows safe hands-on execution of experiments while keeping astronauts and the surrounding area free from contamination. In recognition of the facility’s milestone, check out this MSG image gallery highlighting science and scientists throughout its 100,000 hours of holding space for science.
Her boyfriend is handsome, attentive and always emotionally available. The catch? He's made of pixels.
Romance role-playing otome games, like "Love and Deepspace," have exploded in popularity in recent years and offer a reprieve from the bleak dating scene for many of their female fans.
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.
Allegheny County’s Sexual Health Clinic moves Downtown
The Allegheny County Health Department has relocated its Sexual Health Clinic to Downtown Pittsburgh, consolidating services in one location to make it easier for patients to access sexual health care, immunizations, pulmonary services and public health pharmacy resources. The department announced the move Monday, saying the new site provides a
'The View' cohost grills Laverne Cox on dating pro-Trump policeman: 'Didn't plan to fall in love'
Laverne Cox responded to 'The View' cohost and former Donald Trump staffer Alyssa Farah Griffin grilling her on dating a pro-Trump police officer: 'People show you who they are eventually,' Cox said.
Smartphones broke dating. AI might finish the job.
Humanity may scroll its way out of existence.
The Kennedys and British royal family were once romantically linked, new book reveals exactly how
A member from each of the Kennedys and the royal family were once romantically linked, Caroline Hallemann's new book reveals. The two dynasties have been connected for decades, dating back to the 1930s.
Several Women Who Dated Graham Platner Recall ‘Unsettling’ Behavior
The Democratic candidate for Senate in Maine could be charming, women said in interviews, but some found his actions intimidating and disturbing.
Houston Rockets unveil new uniforms, branding for 2026-27 season
With a nod to their “ketchup and mustard” history, the Rockets are updating their uniforms and branding for the NBA’s 2026-27 season and beyond.
Kuo: Apple's Vision Pro Successors Off the Table as Focus Shifts to Smart Glasses
Incoming Apple CEO John Ternus signed off on a major revision of Apple's Vision Pro and smart glasses plans, consolidating Apple's work in the category. According to Apple analyst Ming-Chi Kuo, Ternus nixed plans for a second Vision Pro and a lighter Vision Air. Kuo says there are only two smart glasses products in development, including the AI smart glasses that Apple is creating to rival the Meta Ray-Bans and a display-equipped set of AR smart glasses.
Jason Sudeikis calls dating 'daunting' following Olivia Wilde split in rare comment about personal life
Jason Sudeikis finds dating 'daunting,' he says, six years after he and Olivia Wilde ended their engagement.
Pulte Pick Shows How Trump Is Consolidating Power
Plus, the president’s candidate is defeated in Iowa, and inside Trump’s takeover of the American regulatory machine.
Savannah Guthrie tries to 'fluster' Jennifer Lopez and Brett Goldstein by pressing them over dating rumors
'Office Romance' stars Jennifer Lopez and Brett Goldstein have sparked their own romance speculation, prompting Savannah Guthrie to grill them for answers.
Disney magic helps SoCal children's hospital with MRI scans for young patients
Children often require sedation to conduct MRI scans, but one SoCal hospital is using Disney magic to make scans less intimidating by blending medical imaging with familiar characters.
Urgent alert: a mysterious asteroid forces surprise action from astronomers - Futura-Sciences
The Asteroid with (Almost) No Bite The talk of the space community lately is 2024 YR4, a near-Earth asteroid discovered late last December. As it turns out, its orbit crosses that of our home planet—yes, a classic ‘potentially hazardous asteroid.’ But before you start updating your end-of-the-world playlist, here’s the...
‘Love Island USA’ Cast Member Dismissed Ahead Of Season 8 After Videos Surface Of Contestant Using Racial Slur
A Love Island USA cast member has been dismissed from the reality dating show just days ahead of its eighth season premiere following resurfaced videos in which the contestant used a racial slur. Vasa...
For the first time since the iPhone 11, Apple smartphones are no longer at the top of buyers’ lists
Samsung now leads U.S. smartphone satisfaction with an ACSI 2026 score of 81, edging Apple at 80 and ending Apple’s run at the top dating back to the iPhone 11 era. With WWDC set for June 8, Apple’s delayed Apple Intelligence features loom over a market where overall scores rose from 78 to 79.
Gov. DeSantis signs HAVEN Act, expanding protections for domestic, dating violence
Under the soon-to-be effective measure, Florida will study a first-in-the-nation silent alert system for victims unable to safely call 911.
Bari Weiss: Think For Yourself, Not By Yourself
When we launched The Free Press, the plan was simple: Tell the truth plainly, and let readers come to their own conclusions. I thought there would be a sizable enough group of people who would pay the cost of one coffee a month to read high-quality news and opinion journalism. But what happened next surprised even me. Yes, you came for the stories—for the investigations, essays, debates, interviews, podcasts, and arguments. But over the past few years, you also found one another. I’ve watched strangers become friends in the lobby before our debates. I’ve seen people trade numbers after live recordings of Honestly, launch businesses after Free Press dinners, fall in love after our meetups—even get married (!?), and say some version of the same sentence over and over again: I thought I was the only one. We live in the most connected age in history, and yet, millions of people feel isolated, alienated, politically homeless, and starved for real conversation. We have followers and no neighbors. Algorithms instead of interlocutors. Our social media feeds are like troughs, but what we really need is a table to gather around. The Free Press is a publication, yes, but it is also a gathering place for independent minds. So today, I’m thrilled to share our new investment in you. We are launching a new world of community experiences for our paid subscribers, designed to bring _Free Press_ers together online and in real life. Introducing Our Community Launch The Free Press Forum Our new digital home for paid subscribers, the Forum, is now live. This is where _Free Press_ers can meet, debate, recommend, organize, joke, argue, and converse like civilized people. Imagine that. This is not social media as you know it. No bots. No algorithmic rage bait. No performative nonsense. Just smart people talking to one another. Inside the Forum, you’ll find conversations on the things our readers already care about most: the issues of the day, recommendations (books, music, travel), work and networking, parenting, dating, and where to find your people—online and in real life. Jump in! Introduce yourself and join the first conversations in the Free Press Forum here. You’ll also find announcements from us (paid subscribers are first to hear!) and our writers, hosting regular Ask Me Anythings (AMAs)—live conversations where subscribers can ask questions, push back, and continue the discussion beyond the page. This Thursday, subscribers can chat with our brilliant reporter, culture vulture, and co-founder Suzy Weiss. Friday, I’ll be lending you Nellie Bowles, queen of TGIF, to answer subscriber questions live. Read more about The Forum directly from Nellie here. The Free Press Supper Club The best part of being a _Free Press_er is meeting other _Free Press_ers. So we’re inviting you all to dinner to do just that. It’s part salon, part blind date, part old-fashioned dinner party. Here’s how it works: You answer a short questionnaire. We match you with a small group of _Free Press_ers in your city. We send you to a great restaurant. You show up for supper. The rest is up to you. Your next best friend, co-founder, or future spouse may already be waiting at the table. Learn more and sign up here for our first Supper Club in 12 cities in three countries taking place on June 18. Don’t see your city? Raise your hand if you’d like a Free Press Supper Club near you. Yes, St. Louis—we hear you. The Free Press Retreats and Excursions We’re also building something new for 2027: immersive experiences for Free Press readers who want to continue the conversation trailside, poolside, or around a fire long after dessert. The Free Press Retreat will be an intimate long weekend built around big ideas, outdoor adventure, great meals, and the kinds of discussions that happen when curious people spend meaningful time together. Bring your spouse, your parents, your children—or come on your own. Free Press Excursions will take us farther afield: curated trips with Free Press writers and contributors exploring places that help explain the world we live in, from the battlefields of Gettysburg and Normandy to the Vatican in Rome. We’ll share more details this summer. If you’d like an early look when these experiences open for registration, show your interest here.**A Note to Our Subscribers** These new offerings exist because of our paying subscribers. If you’re already one: Thank you. You built this. And you keep us going. If you’ve been reading us for free and wondering whether to join, this is a very good time. For a short while only, we’re offering a rare 20 percent discount for you to join our community as a paid subscriber. You’ll unlock everything we publish, plus exclusive access to our members-only Forum, Supper Clubs, and more insider perks. Thinking for yourself shouldn’t mean thinking by yourself. See you there. —Bari
How integrating tradition and self-care has strengthened public health in the Americas
On 13 May 2026, a regional dialogue for the Americas titled, Innovative Experiences to Strengthen Health and Self-Care through Traditional, Complementary, and Integrative Medicine, was hosted by EsSalud, the government agency responsible for social security and health care in Peru.The event brought together representatives from the World Health Organization (WHO), the Pan American Health Organization (PAHO), WHO collaborating centres, the health sector and academia. It presented regional perspectives from BrBolivia, Brazil, Mexico and Peru to explore how self-care and traditional medicine can strengthen public health, empower communities and support more inclusive models of care. Across all four countries, a clear message emerged: traditional medicine is not being positioned as an alternative to formal systems, but as a way to strengthen them. In the Americas region, the challenge is to consolidate intercultural and holistic care, with the aim of strengthening the healthcare system – making care more preventive, culturally relevant and community-based.Peru: institutionalizing complementary care over 28 years Dr Martha Villar López from EsSalud Peru demonstrated how integration can be institutionalized over time. With nearly three decades of investment, including a research programme dating back to 1998, traditional medicine is now embedded within public health infrastructure. EsSalud’s flagship programme, Reforma de Vida, operating as Prevenir, takes multidisciplinary teams into workplaces to reduce and detect risk factors for chronic noncommunicable diseases. Education cycles are structured around three pillars: celestial nourishment, focused on life purpose and movement; terrestrial nourishment, centred on regional food and healthy diets; and human nourishment, addressing identity, relationships, stress and spirituality. Grounded in Andean cosmovision and the principle of the ayllu, the programme aligns with local cultural values. Since 2007, it has trained over 6600 health leaders, certified more than 3100 health-friendly organizations and built alliances with nearly 11 000 employers.Bolivia: legal recognition and medical pluralism Adelino Pau Carpacheco, an 82-year-old Callawaya healer, described working with more than 220 medicinal plants, supported by deep generational knowledge. Traditional healers and plant medicine are highly respected in the country. Bolivia’s contribution also highlighted the role of policy in enabling integration. Through Law 459, traditional medicine has been formally recognized within a legal framework and led the country to medical pluralism where traditional medicine coexists with biomedicine, and both are now offered free of charge through the public health system. Mexico: preserving Indigenous knowledge and reinventing food culture Mexico presented two complementary approaches focused on knowledge preservation and food systems. In Veracruz, communities partnered with a university to safeguard Totonac traditional medicine through a diploma programme launched in 2019. This collaboration has already produced practical outputs, including manuals and a dictionary, helping to sustain knowledge at risk due to migration and generational change. Alongside this, Dr Hernán García, Directorate of Traditional Medicine and Intercultural Development – Mexico, explained how the Dieta de la Milpa programme addresses Mexico’s dual burden of malnutrition and rising noncommunicable diseases. Rooted in traditional Mayan cultivation systems and ingredients, it promotes healthier diets through community-led, intercultural approaches involving local authorities, Indigenous leaders and cooks. By reconnecting food, culture and health, it offers a practical pathway to prevention. Brazil: community therapy as a public health tool Brazil’s experience centred on Integrative Community Therapy, a methodology developed over 40 years ago by Dr Adalberto Barreto and now used in more than 47 countries. Therapy circles create spaces where participants share experiences and coping strategies, building social support networks at very low cost. Within Brazil’s Unified Health System, the approach has expanded rapidly since its inclusion in national policy in 2017. By 2025, more than five million integrative practice procedures were delivered annually in primary care, with registrations for this therapy increasing by over 500% in eight years. The main challenge now is equity, with access still concentrated in urban areas such as São Paulo. A shared regional direction against a global backdrop Drawing these experiences together, Dr Natalia Aldana of the TCIM Network of the Americas highlighted the shared outcomes of the interventions discussed. Such approaches strengthen healthy behaviours, social networks and community resilience; they are low-cost, adaptable and enable active participation in care, while showing potential to reduce the burden of noncommunicable diseases.The regional momentum mirrors a broader global shift. Dr João Paulo Souz, Director of BIREME (Latin American and Caribbean Center on Health Sciences Information), the specialized center of PAHO/WHO, emphasized that the Global Traditional Medicine Strategy 2025–2034 promotes a vision centred on people, evidence and integrated use. He noted that health should be understood through the relationships between people, community, nature and spirituality. Self-care interventions as a critical pathway towards universal health coverage Dr Manjulaa Narasimhan, Unit Head for Sexual Health and Well-being across the Life-course at WHO, delivered a presentation titled Advancing Self-Care in Traditional Medicine: Aligning the WHO Traditional Medicine Strategy 2025–2034 with the WHO Self-Care Framework, co-authored by Dr Geetha Krishnan Gopalakrishna Pillai, Unit Head for Research, Data and Innovation at the WHO Global Traditional Medicine Centre. WHO recommends self-care interventions for every country and economic setting as a critical path to reach universal health coverage – and traditional medicine acts as a bridge for self-care. Dr Narasimhan explained that traditional medicine contributes most effectively to self-care when embedded directly into primary health care, not operating in parallel, siloed systems. This, she stated, “is possibly the only sustainable way to deliver continuity of care that meets the needs, rights and priorities of communities and individuals”. The Global Traditional Medicine Strategy 2025–2034 is a move towards a more people-centred approach to health care that champions holistic approaches to health equity and patient autonomy.The integration of traditional medicine and self-care requires collaboration across disciplines, clear referral pathways, trained health and care workers, and strong leadership that supports integration. The WHO self-care competency framework defines 10 key competencies for health and care workers to support self-care in their clinical practice, supported by the WHO guideline on self-care interventions for health and well-being. These documents help health-care workers safeguard their own well-being and ensure that care is consistent, safe and grounded in shared standards and values.Together, the discussion through this dialogue points to a fundamental shift in how health systems are designed in the region, and globally, towards models that are more inclusive, culturally-grounded and responsive to the needs of the communities they serve. It is a move towards a system where traditional medicine is respected and responsibly integrated, where self-care provides empowerment and evidence-based care, and where health systems are supportive rather than being distant from these systems.Traditional medicine perspectives from Bolivia, Mexico and Peru - WHO's "Restoring Balance" seriesInnovative Experiences to Strengthen Health and Self-Care through Traditional, Complementary, and Integrative Medicine was streamed in Spanish, with Spanish and Portuguese subtitles. Recordings are available through the CABSIN YouTube channel with Portuguese subtitles and on the BVS MTCI Americas YouTube channel with Spanish subtitles. Dr Narasimhan’s session can be watched in English on both channels.
Climate Standard Setter SBTi Pivots to Advisory Role as It Targets Growth
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Google's Search box is getting its biggest-ever AI revamp
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Gen Z’s Political Gender Divide Is Now Showing Up in Schools
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How science is taking tripping mainstream
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Boston Scientific pacemakers recalled again—software update now available
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Algeria eliminates trachoma as a public health problem
The World Health Organization (WHO) reports validating Algeria as having eliminated trachoma as a public health problem. This makes Algeria the 29th country globally to achieve this significant milestone. "Algeria’s elimination of trachoma is a historic triumph that connects the past, present, and future of public health, and is rooted in a century-long commitment," said Dr Tedros Adhanom Ghebreyesus, WHO Director-General. "This milestone proves that with sustained political will and on-the-ground leadership from committed health professionals, we can eliminate neglected tropical diseases and build a healthier, more resilient future for all." For decades, Algeria implemented the WHO-recommended SAFE strategy to eliminate trachoma. These activities included provision of surgery to treat the late blinding stage of the disease (“trachomatous trichiasis”, TT), conducting mass administration of antibiotic treatment, carrying out public awareness campaigns to promote facial cleanliness and personal hygiene as well as improvement in access to water supply and sanitation. Trachoma is the first neglected tropical disease to be eliminated in Algeria. Trachoma is a disease of the eye caused by infection with the bacterium Chlamydia trachomatis. It is a public health problem in 30 countries and is responsible for the blindness or visual impairment of about 1.9 million people. Blindness from trachoma is difficult to reverse. Based on November 2025 data, 97 million people live in trachoma endemic areas and are at risk of trachoma blindness. Infection spreads through personal contact (via hands, clothes, bedding or hard surfaces) and by flies that have been in contact with discharge from the eyes or nose of an infected person. With repeated episodes of infection over many years, the eyelashes may be drawn in so that they rub on the surface of the eye. This causes pain and may permanently damage the cornea. In 2024, 87,349 people received surgical treatment for advanced stage of the disease, and 44.4 million people were treated with antibiotics. Global antibiotic coverage in 2024 was 39%. Outbreak News Today is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Target orders 150 remote workers back to Minneapolis HQ
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Shohei Ohtani passes Ichiro Suzuki for another Japanese MLB record
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Teddi Mellencamp reveals she's dating an older man who’s been 'pretty good' amid her ongoing cancer battle
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Italy's UniCredit considers liquidating Russian banking business, Kommersant reports
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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Ruby Ridge Book Explores Roots of American Conspiracy Politics at Vroman’s Tonight
Author Chris Jennings will discuss his critically acclaimed book “End of Days: Ruby Ridge, the Apocalypse, and the Unmaking of America” at Vroman’s Bookstore on Monday, March 30, in a 7 p.m. conversation with journalist and author Jim Newton, a Pasadena resident. The book, published in February by Little, Brown and Company, examines the 1992 Ruby Ridge standoff — in which federal agents surveilled a cabin in Boundary County, Idaho, as part of an operation to arrest white separatist Randy Weaver — and traces a line from that 11-day siege to the conspiratorial politics that now mark American public life. By the time Weaver surrendered, his wife, his son, and a U.S. Marshal were dead. Jennings, a former editorial staffer at The New Yorker and the author of “Paradise Now: The Story of American Utopianism,” argues that the strain of apocalyptic Christianity that gripped the Weaver family can be traced to biblical prophecy readings dating to the 1870s and through the rise of 20th-century fundamentalism, according to the publisher’s description. The events at Ruby Ridge, Jennings contends, acted as an accelerant for this worldview. The New York Times Book Review called the book a thoroughly researched chronicle written with precision, according to a review published in February. Kirkus Reviews described it as a vivid reconstruction of a pivotal moment in the history of right-wing extremism. Newton, who will lead the conversation, spent 25 years at the Los Angeles Times as a reporter, editor, bureau chief, and columnist, including a stint as editor of the editorial pages from 2007 through 2010. He is the author of four books, including biographies of Chief Justice Earl Warren and Gov. Jerry Brown. Newton teaches at UCLA, where he founded Blueprint magazine, and is a columnist for CalMatters. He received the American Political Science Association’s