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Samsung Galaxy S27 and Xiaomi 18 spotted: Major Leica camera lineup changes expected
Months before launch, early traces of two of next year's likely most important camera flagship rivals have appeared in databases. Model numbers have been discovered for both the Samsung Galaxy S27 and an initial Xiaomi 18 model, with major changes to the lineup becoming apparent for the latter in particular.
Your blood pressure reading contains a hidden number — and here’s why it matters
Pulse pressure, which can indicate how stiff your blood vessels are, provides a window into heart and brain health.
Essex GPs trial for adults with learning disabilities
Not enough eligible people are having life-saving annual health checks, say experts.
Australia vs Türkiye Extended Highlights
Check out the full game highlights between Australia and Türkiye in the 2026 FIFA World Cup™. Announced by Jacqui Oatley and Warren Barton.
Australia vs Türkiye Highlights
Check out the full game highlights between Australia and Türkiye in the 2026 FIFA World Cup™. Announced by Jacqui Oatley and Warren Barton.
Haiti vs Scotland Extended Highlights
Check out the full game highlights between Haiti and Scotland in the 2026 FIFA World Cup™. Announced by Ian Crocker and Danny Higginbotham.
Haiti vs Scotland Highlights
Check out the full game highlights between Haiti and Scotland in the 2026 FIFA World Cup™. Announced by Ian Crocker and Danny Higginbotham.
WHUR’s Joe Clair Brings Men Together for Honest Conversation About Mental Health
WASHINGTON, D.C. (Saturday, June 13, 2026) — Dozens of men filled the event space at Macy’s Downtown Metro Center Saturday for Well-Dressed Well-Being: A Men’s Mental Health Check-In, an afternoon of powerful storytelling, healing, and honest conversations designed to break the stigma surrounding men’s mental health. Hosted by WHUR 96.3 afternoon personality, comedian, and community advocate Joe Clair, […]
Side-by-side size comparison of Samsung's upcoming foldable lineup leaked
A new leak reveals alleged screen protectors for Samsung’s Galaxy Z Flip 8, Z Fold 8 and Z Fold 8 Ultra, suggesting a wider, shorter Fold 8 design and clearer differentiation across the foldable lineup. While expectations are high that the Fold models will bring some significant changes, the same cannot be said for the Flip.
Georgia man accused of forging check from local Iowa livestock business
Authorities said he forged a check for more than $14,000.
Carlsbad tightens rules for massage businesses after prostitution arrests
Background checks, application fees, 5-year ban for violators added in updated massage ordinance.
Bambuddy Says Bye To Bambu Lab Cloud Services
If you have a Bambu Labs printer and aren’t keen to send your files to Bambu’s servers with each print job, then check out Bambuddy, an open-source, self-hosted, cloud-free central comm…
Qatar vs Switzerland Extended Highlights
Check out the full game highlights between Qatar and Switzerland in the 2026 FIFA World Cup™. Announced by Derek Rae and Rob Green.
Qatar vs Switzerland Highlights
Check out the full game highlights between Qatar and Switzerland in the 2026 FIFA World Cup™. Announced by Derek Rae and Rob Green.
iOS 27 makes it easier to switch between Apple Pay cards
iOS 27 redesigns the Apple Pay checkout experience with easier card switching, a new card picker, and more payment details at a glance.
Steam machine reportedly sent to reviewers as embargo date and package contents leak
According to a new leak, the first Steam Machine review units may already have been shipped to reviewers and content creators. The rumored review embargo date and possible package contents have also surfaced.
L.A. Grand Prix brings track meet back for Olympic preview
This weekend's two-day meet serves as an important check point for track and field’s hope to break out of the four-year popularity cycle.
Best Moments of 2026 FIFA World Cup™ Match Day Two
Check out the Best Moments of 2026 FIFA World Cup™ Match Day Two.
United States vs Paraguay Highlights
Check out the full game highlights between United States and Paraguay in the 2026 FIFA World Cup™. Announced by John Strong and Stu Holden.
It’s my tree. Why can’t I cut it down?
Can the government stop you from cutting down your own tree? In many towns and cities these days, removing a tree now requires a permit. You might have to pay a fee, or promise to plant replacement trees. But sometimes, the city won't let you cut down the tree at all, even a tree in your own backyard.That's because trees are important for air quality, for flood control, and for public health. They help keep neighborhoods cool on hot days. But some think that tree protection laws have gone too far — that they might even be unconstitutional.On today's episode, it's the latest showdown between property rights and local zoning laws. Typically, towns and cities enjoy a lot of power when it comes to zoning and permits. They can ban certain types of buildings. They can make you paint your house a certain color. But can they make it illegal to cut down a tree? And what does it mean to "own" a piece of property anyway?Support:Planet Money+Read: Our book: Planet Money: A Guide to the Economic Forces That Shape Your Life Our weekly longform Planet Money newsletterOur weekly Indicator round-up newsletterFollow: InstagramTikTokYouTubeFacebookThis episode of Planet Money was hosted by Jeff Guo and Amanda Aronczyk. It was produced by James Sneed and Emma Peaslee, edited by Jess Jiang, and fact-checked by Vito Emanuel. It was engineered by Robert Rodriguez and Cena Loffredo. Alex Goldmark is our executive producer.
Where are you watching Game 5 of the NBA Finals? Check out these local deals.
These native New Yorkers are bringing a taste of the big apple to the Queen City.
Bose QuietComfort Ultra Bluetooth Headphones (2nd Gen) drops to lowest price on Amazon
The Bose QuietComfort Ultra Bluetooth Headphones (2nd Gen) in five colors are on sale at Amazon at 16% off the MSRP. It delivers powerful noise cancelling with Bose Immersive Audio and comes with plush ear cushions.
Ranked choice vote count underway in Augusta
It’s just the beginning of a days-long process to double check election results before the information is run through a ranked choice tabulation.
32 Games You Should Check Out In Nintendo's Multiplayer eShop Sale (Europe)
Every game we scored 9/10 or higher
Not all redheads have freckles: scientists reveal surprising genetic truth - Futura-Sciences
Redhead myths: what’s science and what’s just legend? First, a reality check: redheads are rare. Very rare, in fact. It’s estimated they make up just 1 to 2% of the world’s population. You’ll spot the highest numbers mostly in Scotland and Ireland, but also in pockets across Northern Europe. This...
Doctor Addresses Big Question After Trump, 79, Sets Alarming Health Record
Trump was probed by 22 specialists during a three-hour checkup.
South Korea vs Czechia Highlights
Check out the full game highlights between South Korea and Czechia in the 2026 FIFA World Cup™. Announced by Jacqui Oatley and Warren Barton.
Mexico vs South Africa Highlights
Check out the full game highlights between Mexico and South Africa in the 2026 FIFA World Cup™. Announced by Ian Darke and Landon Donovan
2026 FIFA World Cup™ Opening Ceremony 🌎
Check out the Opening Ceremony of the 2026 FIFA World Cup™!
Best of Santa Cruz County entertainment, arts & food events this weekend, June 11-14
With the weekend nearly here, check out things to do around Santa Cruz County with a recommendation from Lily Belli and a specially curated list from Lookout's BOLO events calendar.
Time for an AI checkup: Flaw found in machine learning for sepsis treatment
Shengpu Tang, Emory assistant professor of computer science, found a flaw in many peer-reviewed studies using the AI method known as reinforcement learning as a theoretical guide for the treatment of sepsis.
The Herald's weekly entertainment picks
Looking to be entertained from Thursday, June 11, through Wednesday, June 17? Check out the Skagit Valley Herald’s weekly recommendations.
Small Business Reality Check: Strategies for Resilience
The second half of 2026 presents both challenges and opportunities for small business owners. Those who focus on their people, reduce complexity, and stay proactive about risk will be best positioned to succeed.
Portugal vs Nigeria Extended Highlights
Check out the full match highlights from the international friendly between Portugal and Nigeria.
Low-cost laptops with smartphone RAM in metal chassis: Intel reveals details of Project Firefly
The DRAM crisis is making entry-level laptops more and more expensive – or forcing manufacturers to use very old components. Intel Wildcat Lake and Project Firefly are set to change this and provide serious competition for the Apple MacBook Neo. Intel now reveals more details about Project Firefly.
The AI Governance Mistake Many Companies Don't Realize They're Making
Companies that treat AI governance as a compliance checkbox rather than a continuous operational discipline are quietly accumulating risks their boards don't yet know exist.
Local business warns others to be wary of check fraud
Local residents and business owners are urged to be vigilant of check fraud, following one recent example which was preempted, thanks to the work of keen bankers. Attorney Caryn Brzykcy, of Harbinson Brzykcy Attorneys At Law in Taylorsville, explained that a $32,000 fraud was attempted against their firm’s checking account recently. “We had no problem…
‘Big Ev’ breaks silence on Barstool absence, reveals gambling addiction
Evan “Big Ev” McDowell broke his silence Wednesday in a video posted to social media, confirming that he checked himself into a residential treatment center for a gambling addiction, in what amounted to his first public statement since disappearing from Barstool Sports content in early April amid allegations that he stiffed multiple illegal bookmakers out…
Reform deputy says ‘not aware’ of more financial gifts but unable to check all members
Richard Tice grilled at first party press conference since £5m gift to Nigel Farage from crypto billionaire revealed
MLB trends: Red Sox's home woes, how Giants lost the Patrick Bailey trade and a bargain free agent making good
Let's check in around the league as the summer drags on
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.
Apple Struck the Right Notes With Its New AI Tools. Here's 4 Features I'm Excited to Try
Siri AI is the headline feature of WWDC 26, but there are more new capabilities I need to check out.
GVSU Sports School Year in Review: Top 5 stories of 2025-26
There were plenty of big stories involving Grand Valley State sports this year. Check out the top five.
Teen boys illegally collect tires for family business: Mayfield Heights Police Blotter
The owner of Tire and Wheel reported around 10 p.m. May 29 that he was remotely checking the business cameras and saw that two people were trying to open a scrap bin. As officers responded to the business, a security company reported that two people were taking used tires from the back of Nick Mayer Ford.
Reflecting On Media & Entertainment Stocks’ Q4 Earnings: EchoStar (NASDAQ:SATS)
Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same sector. Today we are looking at EchoStar (NASDAQ:SATS) and the best and worst performers in the media & entertainment industry.
Ahead of Apple MacBook Ultra: macOS 27 gets touchscreen support
With the MacBook Ultra, Apple will soon be launching its first laptop with an OLED touchscreen. The first beta version of macOS 27 already shows that macOS is being prepared for this laptop, as the system can be officially operated via touchscreen for the first time.
Social Security retirement trust fund will run dry in 2032 unless Congress acts
Tens of millions of retirees and other Americans could see smaller monthly Social Security checks in six years if lawmakers don’t act to shore up the program’s finances, according to an annual report released Tuesday by Social Security’s trustees.
TIME100 Most Influential People in Sports 2026
Check out TIME's list of the 100 most influential people in sports
From Classroom to Racetrack: How Charlie Baur is Building a Motorsports Career in a Business Discipline
Charlie Baur can trace his racing story back to a Christmas morning in Michigan — the kind that starts with snow on the ground and ends with a throttle in a kid’s hands. “I remember being 3 years old and then for Christmas that year, my parents had gotten me a 120 cc snowmobile,” Baur said. Long before sprint cars, he was a Michigan kid on snowmobiles, dirt bikes, four-wheelers and jet skis — and a regular at car shows and races with his family. Photo courtesy of Charlie Baur That early exposure became a calling. At 12, he sat in a sprint car for the first time and knew he’d found the next chapter. He started in quarter midgets, moved to go-karts, and the day before he turned 16 — one day shy of the minimum age required by track insurance — he made his first sprint car start after convincing officials to let him race. Five years later, Baur is still pushing forward, now racing sprint cars on both pavement and dirt while pursuing an automotive business education at Northwood University — with a clear-eyed understanding that motorsports encompasses more than what happens under the lights on Saturday night. “It’s a business,” said Charlie, a 20-year-old who calls Fenton, Michigan, home when he’s not at a racetrack or at Northwood’s residential campus in Midland, Michigan. Photo courtesy of Charlie Baur Racing is the product — but preparation is the job To the average fan, race day begins around dinner time. For a team, race day can be a 12-hour shift — plus the work that came before it. And Baur’s racing operation is a family affair. “The team is my parents and myself,” he said, explaining they own the cars, maintain equipment and manage the business side — from sponsor relations to budgeting. On race weekends, the core group includes Baur and his parents (Eric and Stefanie), plus a couple of additional hands (Alex Photiou and Robert Flannigan) who help with the intensity and pace of trackside work. That structure has shaped how he thinks about efficiency and professionalism. “We’ve always kind of had the mentality of we’re never working on the car for maintenance at the track,” he said. “Our goal is to do as little work as possible to the car because it should be ready when that car rolls out of the trailer to go racing.” That mindset shows up in routines: bolt checks, tire procedures, safety equipment and a repeatable process designed to limit errors. “Once I fire the car up and put my helmet on, that’s when it’s go time,” he said. “You can plan as much as possible for how the race is going to play out, but until you take the green flag … you don’t know how it’s going to go.” Photo courtesy of Charlie Baur First-generation driver, student of the game In racing, “first-generation” matters — and Baur wears that label with pride. “A lot of the drivers are third or fourth generation,” he said. “My family has never been in motorsports. So for me, we’ve always looked at it as we’re new to it and we want to be as different as possible. From a marketing standpoint, it helps us stand out.” It also pushes him to seek out mentors — especially veteran drivers who have seen every scenario, solved every problem and won in multiple eras. Baur credits accomplished driver Jason Blonde, a 10-time champion, for becoming his driver coach and helping him develop as a competitor. “To me, learning from Jason helps me because he has had lots of success and knows what to do,” Baur said. “You have to humble yourself and say, ‘I don’t know what to do; can you help me out?’” That willingness to learn extends off the track, too. Baur says one of his biggest challenges is not a mechanical limitation, but credibility. “It’s my age,” he said. “Some people won’t take me seriously because I’m so young. Even though … I do know what we’re talking about and have a general idea.” His answer has been to out-prepare, out-communicate and treat the operation like a real enterprise — because it is. Photo courtesy of Charlie Baur Northwood’s role: Turning passion into a plan Baur is majoring in automotive aftermarket management and pursuing an accelerated path that pairs undergraduate study with graduate work. He’s also exploring how to align his studies with motorsports-focused coursework as Northwood advances related programs and pathways. He sees the value clearly: motorsports needs business-literate professionals who understand budgets, sponsorship, marketing, operations and long-term strategy — and who can translate between the language of the shop and the language of the boardroom. That’s why his Northwood experience isn’t limited to the classroom. He has been involved with the Northwood University International Auto Show and serves as motorsports chair — a leadership role that demands outreach, contracts, coordination and a steady professional demeanor. “There’s so much outside work that makes the auto show successful that people don’t realize,” he said. “And it is truly student led.” He’s also participated in industry experiences through Northwood at major events such as AAPEX, SEMA and PRI, along with other automotive networking events — opportunities he describes as a fast track to understanding how business really gets done. “You learn a lot in the classroom,” he said. “But if you learn it and you can’t apply it to the real world, it loses its value. Or if you learn it and can apply it, but you don’t know anyone, it is still of no value.” In his words, Northwood helps him win because it “gives me the tools to succeed” — including flexibility and faculty support as he balances travel and racing commitments with academics. Photo courtesy of Charlie Baur Racing as an ecosystem — and a talent gap waiting to be filled Baur is blunt about what he sees across the motorsports world: a deep bench of experienced professionals, and not enough young talent entering the pipeline. “I go to car shows, I go to these different events, and typically … the average age is between 45 to 55,” he said. “There’s not a lot of young people going into the motorsports world.” That reality reinforces Northwood’s communications focus: positioning motorsports not as a narrow lane, but as a wide ecosystem of business careers — sponsorship, logistics, data, media, leadership, hospitality and innovation — with real demand for prepared graduates. It also shapes how Baur talks to younger students who love racing but aren’t sure what their future looks like. “If you have a passion for motorsports, there’s gonna be a spot for you somewhere,” he said, emphasizing that driving is only one of many career paths — and that local tracks and hands-on experience are often the best first step. But if someone is interested in driving as a career path, it will take a team to make that happen. Baur’s team includes Stahl’s Motors and Music Experience, Rhino Racing, Randy Wise Buick GMC Chevrolet, Western Michigan Fleet Parts, Mother’s Polish, Schaeffer’s Oil, Hepfner Racing Products, Ameriguard Storage Centers, Justice Brothers, Race 1 Wraps, TBM Brakes, Behind Your Design, CharlieBaur.com and Northwood University. “There are so many people who invest not only in myself but in my race team and who believe in us to succeed,” he added. Pictured: Charlie Bauer’s sprint race car. Looking ahead: A headline worth chasing Ask Baur to imagine 2035, and he’ll give you two answers — one dream, one blueprint. “In a perfect world,” he said, “winning the Indy 500.” Realistically, he wants to build a life where business ownership and racing reinforce each other and where he can pay forward the help he has received by mentoring younger drivers, especially those trying to break into motorsports without a family legacy. “When I retire from full-time racing, I want to be able to provide the same opportunities that were presented to myself to the next generation of drivers,” Baur said. “I know how difficult it is to get your foot in the door.” For now, the focus is simple: keep building the operation, keep learning the business, and keep showing up prepared — because in sprint car racing, as in life, process matters. And once the helmet goes on? “It’s go time,” Baur said. Photo courtesy of Charlie Baur Learn more Students interested in motorsports careers — whether in competition, team operations, marketing, finance, sponsorship, data, or management — can explore opportunities through Northwood University’s Center for Automotive and Mobility Studies. For Charlie Baur’s latest motorsports adventures, follow Charlie_Baur and Charlie Baur Racing on social media. To learn more about Northwood’s Bachelor of Business Administration in Automotive and Mobility Studies and motorsports management concentration, visit www.northwood.edu/programs/automotive-mobility-studies/. Photo courtesy of Charlie Baur Pictured: Charlie Baur at Butler Motor Speedway on May 31, 2026. Share this page
A reporting checklist for large language models in behavioural science
Nature Human Behaviour - Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based...
Happening June 13: People Over Politics
Mississippi for a Just World is hosting a People Over Politics: Voting Rights Edition training in Biloxi, focused on redistricting changes and how to check your voter registration.
France vs Northern Ireland Highlights 🌎🏆 International Friendly
Check out the full match highlights from the international friendly between France and Ivory Coast.
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.
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