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Carrie Coon hasn't seen the 'material results' of “White Lotus” success: 'I still have to fight'
The three-time Emmy nominee doesn't think her career has "leveled up" since appearing in the hit series like many might expect.
Apple hinted at three new products this week with fall launches rumored
Apple’s WWDC announcements for iOS 27 were packed with hints about new hardware, including three new products expected to launch this fall.
NBA Champion Robert Horry Wants Caitlin Clark To 'Protect Herself'
Caitlin Clark received some straightforward advice from a seven-time NBA champion earlier this week. It's no secret that Clark has dealt with plenty of physicality since entering the WNBA in 2024. Roughly three weeks ago, the star guard for the Indiana Fever had a heated exchange with Golden State ...
Cambridge Local first to host second annual 617 Day small business summit
The event, hosted in Somerville, will include a networking breakfast, followed by three panels featuring local business owners.
MIT affiliates win 2026 Hertz Foundation Fellowships
Three MIT students and an incoming graduate student have won 2026 Hertz Foundation Fellowships. The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.
The 3 sectors where wage growth is still outpacing inflation
New data showed inflation outpaced wage growth for the second consecutive month in May. Three major sectors still have higher wage growth.
Grounds for celebration: Dean’s Beans named Massachusetts Rural Business of the Year
When founder Dean Cycon stepped down from his Dean’s Beans Organic Coffee Co. in 2023, he didn’t look for a wealthy outside buyer or a massive conglomerate to take over. Instead, he handed the keys directly to the roasters, packers and office staff who helped him build the brand. Three years into its journey as […]
‘Crimson Desert’ Studio Says Steam Charts Helped It Hit 6 Million Sales
Crimson Desert has just sold 6 million copies in the last three months, and Steam Charts is being cited as helping to market the game for free.
Health plans say AI is pushing healthcare costs higher
Nearly 70% of surveyed health plans said providers’ use of AI documentation and coding tools was a top three trend inflating commercial healthcare costs next year, according to a new report from PwC.
Senate map tightens as top forecaster moves 3 races toward Democrats
Sabato's Crystal Ball shifts three Senate races toward Democrats, saying they have a clearer path to winning the majority in the midterm elections.
Heart Health Biotech Kardigan Seeks $373.3 Million in US IPO
Kardigan Inc. is seeking to raise $373.3 million in a US initial public offering to help fund three late-stage drugs that target cardiovascular diseases.
Is It Time To Reassess Live Nation Entertainment (LYV) After Recent Regulatory Scrutiny?
Wondering whether Live Nation Entertainment at around US$167.50 is priced for perfection or still offers room for value is a fair question for any investor looking at the stock today. Recent returns, including 2.0% over the past week, 2.8% over the past month, 15.3% year to date and 16.7% over the last year, along with a 92.4% three year return and 92.0% five year return, show how much sentiment on the stock has shifted over different time frames. Recent news coverage has focused on Live...
Crimson Desert Hits New Huge Sales Milestone Less Than 3 Months After Launch
Crimson Desert has now sold over 6 million copies worldwide, Pearl Abyss has announced. The impressive milestone was achieved less than three months after the game went on sale.
Michael Bisping breaks down Ciryl Gane vs Alex Pereira
History could be made in the UFC Freedom 250 co-main event on Sunday. Former two-division titleholder Alex Pereira has the opportunity to become the first fighter in the promotion's history to win championships in three different weight classes. Pereira takes on former interim champion ands title ...
ArtBeat: Spotlight on the local arts events and entertainment
Here’s a closer look at what you can expect from the area’s events: June 4– June 10: The weekly preview of arts and culture events in the Greater Knoxville area is included in the Arts & Cultural Alliance. Summer Movie Magic: The Tennessee Theatre’s family-favorite Summer Movie Magic Series returns with three dates and six […]
Game windows announced for six Texas SEC games
Start times are concrete for three of the nine conference matchups.
Travis Kelce's Popularity Takes Major Hit Before 2026 NFL Season
Travis Kelce was among the 10 or so most popular players in the NFL in both 2023 and 2024. The three-time Super Bowl-winning tight end had the fourth-most popular NFL jersey in '23 and the 11th-most popular NFL jersey in '24, according to the NFL Players' Association's end-of-year lists. But ...
‘Seattle: A History in Short Stories’ captures city’s fascinating past
The three-episode “Seattle: A History in Short Stories” concludes with its final episode on Tacoma’s KBTC-TV on Thursday (and streams next day at kbtc.org).
Gas prices push inflation to a three-year high, squeezing consumers and businesses
Rising gas prices pushed inflation to its highest level in three years last month, a headache for the Federal Reserve and a potential political challenge for the Trump administration as midterm elections near
Inflation and volatility have business owners feeling more pessimistic
In May, more small businesses said they planned to raise prices in the next three months, the NFIB says.
Three of four Republicans who forced the release of the Epstein files are now out of jobs
With GOP Rep. Nancy Mace’s embarrassing fifth-place finish in the South Carolina gubernatorial primary Tuesday, three of the four House Republicans who forced the release of the Jeffrey Epstein files will soon no longer hold elected office.
US business group says some critical minerals are 'nearly unobtainable' from China
U.S. access to critical minerals from China remains difficult due to export controls and licensing delays, a U.S. business lobby said on Wednesday, with Beijing's restrictions driving three-quarters of impacted companies to search for new supplies.
One in three middle-aged adults struggle with basic, ‘everyday’ health tasks
Patients had trouble reading prescription instructions, recalling details about new diagnoses
1 in 3 middle-aged adults struggle with basic 'everyday' health tasks, study finds
A new Northwestern University study has found one in three middle-aged American adults ages 35 to 64 cannot consistently read prescription instructions correctly, understand medical forms or recall details ...
CPI: Inflation rose to 4.2% in May, matching the forecast
The new CPI report showed inflation in May climbed to the highest rate in about three years.
New OMB rule could break science in the United States
The drug that saved your mother. The treatment your doctor recommended. The clinical trial that bought someone you love more time. None of it was inevitable. It required a system built to operate outside politics and sustained over decades, because science doesn’t operate on the timeline of a politician. That system is now under direct threat. The Office of Management and Budget (OMB) has proposed a new rule to regulate all federal grants, not just science, but housing, education, defense, NASA and everything in between, that would fundamentally change how research is conducted in the United States. There have been a lot of fires in the past 16 months, and if everything is an emergency, nothing is an emergency. But this is a very big deal. These rules would strip away the independence that has kept science from becoming a political tool. The good news is there’s still something we can all do. How the grant system was designed to work When I was a new faculty member, I was full of millions of ideas, so I sat down and wrote an NIH proposal. I worked on it for months and thought it was so good. Then I sent it to my mentor. It came back covered in comments. Places where my reasoning wasn’t as airtight as I’d thought, methods that could be stronger, gaps in my thinking that I had been too close to the work to see. It stung, as honest feedback always does, but peer review almost always makes the work better. In fact, it’s the backbone of how American science has functioned for generations. At NIH, submitted proposals go to a panel of scientists who have experience in the field. These are the people who can read research methods and spot their weaknesses, who understand when an experiment is designed well and when it isn’t. Applications are scored rigorously, and often only the top 3-20% of proposals receive funding. The people making funding decisions are required to justify them based on these reviews. To be clear: this is not a perfect system, and good science still goes unfunded more often than any of us would like due to limited resources. There is also criticism that peer review may undervalue bold ideas that are risky but could have high payoffs. But the peer review system is nonetheless a meaningful part of the grant selection process. While thoughtful and careful changes could improve the system, the changes being proposed by OMB will not make things better. The rule that could change everything Through this OMB proposal, the system that helps decide what gets funded is being dismantled. There are many troubling elements buried in this proposal, but three provisions stand out in particular. Each would be damaging alone. Together, they would change what kind of science gets done in America, and who it serves. 1. Political appointees would decide which science gets funded, and peer review would be explicitly sidelined or ignored. The guidelines your doctor follows, the standards that determine what’s in your air and water, the drugs that get approved for your family: all of it starts with a funding decision. Right now, that decision is made by scientists who can evaluate whether the work is actually sound and whether it could move the needle forward. Under this proposal, funding decisions could be made by political appointees. The careful, expertise-driven review process that shapes grant funding would be effectively sidelined. That means that a poorly designed study could get funded simply because someone in a political office liked the sound of it, while rigorous, important work doesn’t get funded because it no longer aligns with the administration’s priorities. In other words, critical work that benefits all of us could now be missed just because it has become politically inconvenient. 2. Grants could be canceled at any point, without warning, in the middle of ongoing work. Say your tax dollars have been paying for a cancer study for two years. The grant was awarded for five years, so the team is mid-experiment. There are three additional years’ worth of answers that could change how the disease is treated for hundreds of thousands of people. With this new rule, the federal government could cancel the remaining funding tomorrow, walk away from the commitment it made with your money, and have no legal obligation to finish what it started. This is a huge waste of money. There are rarely other sources of funding for this work, which means the team, the graduate students, postdocs, and research staff who have dedicated years of their careers to this project could lose their jobs. Patients who have contributed their time to studies may not see it turn into useful learnings for others. Every hour of work already completed could result in nothing useful. Science can take decades to get to tangible outcomes. It needs a stable funding system to flourish. 3. Researchers would have a harder time communicating their findings without pre-approval from the federal government. There is a saying from Sir Mark Walport: “Science isn’t finished until it’s communicated.” Science is no use to anyone if it is kept locked away in the labs that produced the data. The proposed rule could make communicating research findings harder in a number of ways: Make it harder for scientists to widely share their findings in scientific journals. Publication costs, including journal fees that allow for broad public access, could not be paid for by federal funds which is often how scientists pay these costs. Restrict researchers from engaging publicly about how their findings should inform policy or public health guidelines. This would restrict scientists from doing the work that transforms years of lab work into decisions that actually affect people’s lives. Make it harder for scientists to attend conferences. Conferences would now need to be approved by the federal agency at the time of grant award. This disadvantages conferences or publications that are not politically aligned. Conferences are a key way in which scientists learn about work happening in their field so they can collaborate and build on each other’s findings. What good is science with a muzzle? The long-term impact These changes could (and hopefully would) be reversed under the next administration. But by then, damage has been done. Once projects are halted or denied funding by political appointees, people leave their science careers for other paths or even leave the country to do their amazing science elsewhere. You cannot pause a scientific study the way you pause a subscription you decided isn’t useful anymore. You cannot freeze a research team that depends on salaries to feed their families, causing a scramble for replacement funding that, in most cases, simply does not exist. When the money stops, everything stops, and all the work in progress and its potential are lost. Despite all of the language about reducing waste, fraud, and abuse, this new proposed rule increases the administrative burden tremendously. Every researcher watching this unfold will make a rational decision: don’t start anything that will take a decade to finish. This includes not building a team around funding that could vanish, or asking the big questions that need patience and stability to answer. The most consequential science, the kind that produces the treatments and the breakthroughs that reach your doctor’s office twenty years from now, is exactly the science that would be abandoned first. This is still a proposal, so we can all do something Some worry this rule is already a done deal. But by law, OMB is required to open a public comment period. Those comments matter because they inform members of Congress, they can be used in litigation, and they create a public record. So here’s what you can do: Submit a public comment. The public comment period on this proposed change is open until July 13. Anyone can submit a comment, and OMB is required to respond to substantial ones. Each comment must be different to count as distinct; identical comments will be counted only once. Comment as an individual, not on behalf of your organization. Here’s a full resource to help you, with useful examples, but in general: Share a story about how science or federal funding has benefitted you or is involved in your work. Are you or someone you loved a cancer survivor? Do you know someone with Alzheimer’s? Have you received NIH/NSF or other federal funding? All of these can be stories you use to highlight why you care. Explain why you’re worried about these proposed changes. You can use the wording found here or in other resources to help you. Ask them to withdraw this proposed rule. Contact your elected representatives. Congress allocates money to federal agencies to spend, and it has oversight of how that process works. You can let your representatives know this proposed change concerns you and ask them to intervene. There are levers they can push that can help at this moment. Let others know why federal funding matters. This isn’t just about science, but ALL federal grants, including for education systems, defense projects, and more. The process, including the importance of federal funding, is invisible to many. We can all make it more visible by sharing how science benefits us and why we value it. You can also share this article, or any of the resources linked here, to help spread awareness! Bottom line We are quickly losing ground in scientific research in the U.S. More changes, like the proposed rule by OMB, would decimate our ability to conduct research here, leaving us all worse off: fewer treatments for pancreatic cancer, less research on pollution impacts, fewer answers for patients with rare disease, and more unaddressed health needs. The impact will be very real for all of us, regardless of where we stand politically. Using our voices for science is more important than ever. Love, LM Big thanks to Dr. Megan Ranney for reading this over and providing brilliant insights, as always. Dr. Liz Marnik, PhD, is Executive Director of The Evidence Collective at YLE and a science communicator and immunologist working at the intersection of public trust, science, and public health. You can find her on Substack, LinkedIn, Instagram and Threads. Your Local Epidemiologist (YLE) comprises a team of experts, ranging from physicians to immunologists to epidemiologists to nutritionists, working together with one goal: to “Translate” ever-evolving public health science so that people are well-equipped to make evidence-based decisions. The YLE suite of newsletters reaches over 475,000 people across more than 132 countries. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe
Microsoft Patches Record 206 Flaws, Including Three Zero-Days and Critical RCE Bugs
Microsoft released fixes for 206 vulnerabilities across its software portfolio, including 39 Critical flaws and three publicly disclosed zero-days.
Sydney Sweeney hopes cut “Euphoria” pole-dancing scene is released: 'I put a lot of hard work into that'
The actress played Cassie on the HBO drama for all three seasons.
Graham Platner tears into Republicans after clinching Susan Collins matchup in Maine, and other primary night takeaways
Graham Platner was all but certain to win Maine’s Democratic Senate primary on Tuesday. But the progressive populist Platner was on course to earn about three-fourths of primary voters’ support — effectively ending any question about whether Maine Democrats wanted him to be their standard-bearer against Republican Sen. Susan Collins in one of the nation’s marquee races in November.
Andy Cohen reveals Jennifer Lawrence figured out how the 'Summer House' reunion leaked
After Bravo's three-part reunion for 'Summer House,' host Andy Cohen revealed the A-list actress who helped the network find the culprit of the viral leaked audio.
County Supervisors Approve Three‑Year Integrated Plan, Funding Behavioral Health Care, Housing and Crisis Services
County Supervisors today approved the region’s first Behavioral Health Services Act (BHSA) Integrated Plan, a three-year roadmap for how the County will use funding to support mental health care, substance use treatment and housing for people with serious behavioral health needs.
Feature Film Being Shot in Remsen and Cold Brook
A coming-of-age film centered around three children on a quest to find Bigfoot in the Adirondacks is currently being filmed in the area.
Pro-Israel Group Pushes for Haley Stevens in Michigan Senate Race
The main super PAC tied to the influential American Israel Public Affairs Committee released its first ads backing Ms. Stevens, a moderate congresswoman locked in a tight three-way primary.
How two sisters built Mustard Made into an eight-figure locker brand
Mustard Made has grown into a thriving global brand, spanning three continents with a team of nearly 40 employees.
UVM Health Network to eliminate dozens of jobs amid financial pressures
It comes as the network is facing a projected $300 million financial gap over the next three years.
City Files Suit Regarding Proposed Business
The City of Greenville has filed a lawsuit in Bond County Circuit Court against the company and three individuals who proposed a sports bar/restaurant business in the former Watson’s Drug Store building on the Greenville square. Named as defendants are W.G.O. Investments, LLC, and member managers of the developer, Joseph Gira, Tim O’Donnell and Dan
Microsoft June 2026 Patch Tuesday fixes 3 zero-day, 200 flaws
Today is Microsoft's June 2026 Patch Tuesday, with security updates for 200 flaws and three publicly disclosed zero-day vulnerabilities.
Yough River Rally huge on entertainment
Musical entertainment has grown in both variety and number over the years at the annual Yough River Rally and this year will be no exception as the three days promise
Three golfers named to TIME's 100 Most Influential People in Sports list
On Tuesday, Rory McIlroy, Nelly Korda, and Jeeno Thitikul were named to TIME's 100 Most Influential People in Sports list for 2026.
Albany County Legislature OKs purchase of 3 more former Saint Rose properties
Legislators voted Monday to spend $5.7 million on the three former college properties.
South Boston business reports repeated vandalism of Pride sign
Security footage shows three separate incidents over the weekend that caused more than $500 in damage to a Pride display outside the store.
Rangers have some momentum with 3 series wins in a row
Texas (32-33) goes into the opener of a three-game series at Kansas City on Tuesday night.
Lawsuit targets Chicago broadcasters over ads for financial planner accused of fraud
Three Chicago broadcasters have been accused of fraudulently lending their institutional credibility to a man running what state officials called a “Ponzi-like scheme.”
US small business sentiment falls in May as inflation worries mount
U.S. small-business sentiment fell in May and the share of owners planning to raise prices over the next three months increased to the highest level in nearly four years, suggesting inflation could remain elevated for a while.
GSK to Buy Nuvalent for $10.6 Billion in Oncology Push
The acquisition is set to give GSK ownership of three drug candidates for lung cancer, two of which are currently under review by the FDA for approval this year.
Josh Naylor's grand slam powers Mariners past Orioles, 6-3
Josh Naylor hit a grand slam during a five-run fifth inning and the Seattle Mariners beat the Baltimore Orioles 6-3 on Monday night. Randy Arozarena had three hits for the AL West-leading Mariners, who have won 10 of their last 13 games. Baltimore, which was 1 for 9 with runners in scoring position, has lost three in a row for the first time since getting swept May 18-20 at Tampa Bay.
49ers defensive trio ranks among NFL's best despite major injuries
The San Francisco 49ers don't have the top defensive trio in the NFL, but their best three are near the top of the league.
Ariana Grande and Ethan Slater split several months ago, after three years as a couple
The "Wicked" stars had a "quiet breakup," a source tells "Entertainment Weekly."
Boston Celtics short-timer big man Stacey King passes
Boston Celtics big man alum and three-time Chicago Bulls NBA champion Stacey King passed away on Sunday, June 7. He was 59.
UNC football lands three-star quarterback
The UNC football program landed a commitment from a three-star QB out of texas.
Husted joins Republicans voting to ban Trump's ‘anti-weaponization' fund
All three GOP senators who recently broke with their party in voting to ban President Trump's ‘anti-weaponization' fund face tough re-election campaigns.
Husted joins Republicans voting to ban Trump's ‘anti-weaponization' fund
All three GOP senators who recently broke with their party in voting to ban President Trump's ‘anti-weaponization' fund face tough re-election campaigns.
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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