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Forza Horizon 6 devs address mysterious save file deleting bug, roll out fix for PC ahead of Xbox patch
Playground Games have been scrambling to fix an issue in Forza Horizon 6 that is causing players to lose their save files and all progress.
China arrests US researcher it says is suspected of ‘spying’
Beijing's Foreign Ministry confirms US reports about detention of scholar focusing on politics of neighbouring Myanmar.
Principal Charity Classic: Agronomists use science to prepare greens at Wakonda Club
Agronomists play a crucial role in golf tournaments, using advanced tools and techniques to ensure greens are ready for competition at the Principal Charity Classic.
Supreme Court blocks Alabama from executing inmate with method lower court found cruel and unusual
The Supreme Court on Thursday blocked Alabama from executing a man using nitrogen hypoxia, a relatively new method of carrying out the death penalty that experts say causes “air hunger” and that a federal court ruled violates the Eighth Amendment’s ban on cruel and unusual punishment.
Apple’s Camera Chief Thinks AI Can Give You Superpowers
The generative features in iOS 27’s new Photos app will add fake pixels to some of your shots, but Apple’s Jon McCormack says the company isn’t using AI “for the sake of AI.”
He saved for 4 years, quit his job, and moved to Argentina
Justin Heiter left his successful sales career in Washington for a new life in Buenos Aires, focusing on writing and financial independence.
Healthy Returns: CVS Health executives on reducing health care's biggest pain points
CVS Health execs discuss how the company is using AI and other technologies to reduce administrative burdens and deliver more proactive care experiences.
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.
More Americans Are Using AI for Health Questions
As more adults, including those 50-plus, turn to AI for advice, research highlights certain limits and concerns, reinforcing the need for human medical oversight.
After years of waiting, One UI 9 finally brings this status bar feature to Galaxy phones
One UI 9 now supports adding a network speed indicator to the status bar and disabling live activities using a Good Lock module.
Using AI for medical advice; pelvic floor exercises; the hidden dangers of burning incense; plus other stories with Vanderbilt Health sources
Colin Walsh, MD,Associate Professor of Biomedical Informatics, was on WTVF News Channel 5‘s “Morningline” show in an interview about whether or not it is safe to use AI for medical advice. Time magazine reporter Stacey Colino interviewed Elisabeth Sebesta, MD, Assistant Professor of Urology, for a story about pelvic floor exercises for issues including menopause, erectile dysfunction and urinary incontinence in men. “Each Breath,” published by the American Lung Association, quoted Brian Christman, MD, Adjunct Professor of Medicine, for a story about the hidden dangers of burning incense. William Schaffner, MD, Professor of Preventive Medicine, was quoted by several news outlets about public health issues, including: Healthline (low vaccination rates lead to more cases of measles, whooping cough and other preventable diseases); ABC News (U.S. measles cases surpass 2,000 for second year in a row); and CIDRAP News (high-dose flu shots cut rates of hospitalization in older adults). Sarah Rohde, MD, Associate Professor of Otolaryngology-Head and Neck Surgery, was quoted in a People magazine story on patient Makalii Andrade, a surfer from Kauai Island who suffered a serious neck injury in 2022 and recently underwent surgery at Vanderbilt Health to begin the final phase of his recovery. James Crowe, MD, Director of the Vanderbilt Center for Antibody Therapeutics, for a piece in Nature about antibodies against a strain of Ebola. SFGATE reporter Gillian Mohney interviewed Xue Zhong, PhD, Research Assistant Professor, Division of Genetic Medicine and Clinical Pharmacology, for a story about a study of a blood test looking at Alzheimer’s disease biomarkers. Matthew Franklin Mart, MD, Assistant Professor of Medicine, was quoted in a Healio story about how inflammation and illness severity is linked to less cognitive resilience after a person has been an ICU patient. The “How We Really Feel” podcast host Sula Windgassen, PhD, interviewed Lindsey C. McKernan, PhD, MPH, Associate Professor of Psychiatry & Behavioral Sciences, Physical Medicine & Rehabilitation and Urology, for an episode focusing on pelvic and bladder health. The podcast is also available on YouTube and the podcast website. In addition, podcaster Monica Sanford interviewed cardiologist Mark Glazer, MD, for her podcast “The Monica Sanford Show”; the two-part interview is here and here.
Chevron’s CFO on why finance chiefs are defining AI’s business value
Eimear Bonner, a former CTO, explains how the finance organization is using AI.
Political reviews are causing a huge grant backlog at the National Park Service
Hundreds of millions of dollars in National Park Service funding is sitting in limbo at the Department of Interior, awaiting a political review that longtime agency staff say has put a stranglehold on the agency’s work.
ICYMI: Chairman Scott Highlights Clarity Act, Previews Senate Banking AI Hearing on Fox Business’ Mornings with Maria
The Official website of The United States Committee on Banking, Housing, and Urban Affairs
Scientists discover a strange property in rice and turn it into a smart material
Scientists discovered that rice behaves in a highly unusual way: it weakens under rapid compression but stays stronger when pressure is applied slowly. Using this effect, they engineered a new material that reacts differently to gentle movements and sudden impacts. The material can adapt its stiffness automatically, opening the door to safer soft robots and protective equipment that responds instantly to collisions.
New Jersey Citizen Action’s Political Action Committee Endorses Candidates for 2026 General Elections
New Jersey Citizen Action’s Political Action Committee (NJCA-PAC) has endorsed US Senator Cory Booker, and Democratic Congressional candidates Zack Mullock (CD2), Rebecca Bennett (CD7), and Dr. Adam Hamawy (CD12) for the General Elections in November. In a press statement today, New Jersey Citizen Action Executive Director Dena Mottola Jaborska said: “At a time when Washington is prioritizing tax breaks for billionaires while working families struggle to afford healthcare, housing, and everyday necessities, we need lawmakers who will fight for[...]
Bypass Siri AI Waitlist on macOS 27 Golden Gate Beta: Here's How
If you installed the macOS 27 Golden Gate developer beta and have signed up to the Siri AI waitlist but are still waiting to be accepted, there's a Terminal command workaround that enables the new virtual assistant on your Mac immediately. If you're still reading, since you're on the first macOS 27 developer beta, we're assuming you are running it on a test machine, and not on your primary Mac. We're also assuming you're comfortable with using the Terminal app.
A Youthful Crop of Politicians Run on Housing, and Their Own Rent
A cohort of young Millennial and Gen Z politicians have centered their campaigns this year on housing costs, and the divide is more generational than partisan.
How Trump’s reliance on ‘acting’ officials holding multiple jobs tests the Constitution
It feels odd that President Donald Trump tapped a housing expert to oversee the American intelligence community.
Up, Up, and Away With Weather Balloons
A dozen students participating in NASA’s 2026 Student Airborne Research Program collected data about the atmosphere, using a weather balloon that measures ozone concentrations as it rises.
The Health and Wellbeing of Formerly Incarcerated People in Connecticut: Insights from the DataHaven Community Wellbeing Survey
By Carter Shannon, Nat Markey, Nora Hodgson, Samantha Lydell, Andrew Carr, and Mark Abraham, DataHaven About this Report Approximately 1 in 5 men aged 18–64 in Connecticut have experienced incarceration at some point in their lives. This population includes people who have been held in a local jail for a single night and those who have served lengthy prison sentences, and it cuts across race, age, geography, and socioeconomic background in ways that reflect broader structural inequities in the criminal legal system. Yet across nearly every indicator of wellbeing, formerly incarcerated people in Connecticut face significant disparities compared to those without an incarceration history. This report explores data on the experiences of formerly incarcerated men in Connecticut from the DataHaven Community Wellbeing Survey (DCWS). The DCWS illuminates significant gaps in economic wellbeing, physical health, mental health, and social support between men with and without incarceration histories in Connecticut. The survey also reveals worse self-reported outcomes for formerly incarcerated people across a range of quality-of-life indicators, with disparities that are often most severe among those who have been incarcerated more than once. These disparities do not arise by chance. They are shaped by a policy landscape that erects lasting barriers to housing, employment, and healthcare for people leaving incarceration, as well as by the physical and psychological toll of incarceration itself. This report is being written in the political context of federal funding cuts to social programs and proposed rollbacks to Medicaid eligibility, changes that will disproportionately impact people with incarceration histories, who are more likely to rely on public health coverage and other safety net supports.
Astronauts Could Grow Their Own Medicines in Space Using Plants
The pharmaceutical cabinet of the future might look a lot like a garden.
Ubisoft closing studios in Winnipeg and Belgrade and cutting publishing roles worldwide, 380 jobs at risk
Latest round of cuts includes refocusing Barcelona studio on Rainbow Six, with an unknown number of roles affected
Scion Group to buy Student Quarters’ $1.5B operating business
The major student housing owner and operator sees consolidation accelerating in the sector and is eying further acquisitions, particularly at large public institutions.
Physical Steam gift cards are being ended by Valve because scammers keep using them to trick people
Valve is making a major change to Steam gift cards by completely getting rid of the physical option.
Apple Removes Walkie-Talkie From Apple Watch in watchOS 27 Beta
Apple has quietly removed the Walkie-Talkie app from Apple Watch in the first developer beta of watchOS 27, with the app vanishing from both the app list and Control Center. Walkie-Talkie launched with watchOS 5 in 2018 and allowed Apple Watch users to send push-to-talk voice messages to one another over Wi-Fi or cellular using FaceTime infrastructure. Unlike traditional walkie-talkies, it worked over any distance, making it a novel way to communicate without picking up an iPhone.
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
iOS 27 Brings New Functionality to HomePod
With the launch of iOS 27 and HomePod Software 27, Apple is adding support for AutoMix, Apple's AI-powered Apple Music feature that blends songs using matching key and tempo. Apple says it has improved AutoMix's underlying algorithms to generate new transition types, making for more seamless blends between tracks, so this should also benefit the newly introduced feature for HomePod.
$100 million revenues for sports card sellers? Inside the race to own the live-selling market
Today, more hobbyists than ever are building their collections from the couch with millions of sports cards instantly accessible through their phone. This has made live selling the latest frontier in the sports card industry. It’s where live auctions meet the modern version of the home shopping channels that found success in the 1980s and ‘90s, but the sellers are using platforms like Whatnot, Fanatics Live and eBay Live to build their own proprietary businesses while those larger entities jockey for position in a rapidly growing market. Social commerce in the United States grew an...
Pate lauds new Iowa law targeting fake business filings
Iowa Secretary of State Paul Pate says a new state law is a good first step to address scammers using an actual Iowa address when filling out online forms to register the name of a fake business. “What they’re doing to these poor homeowners is now setting them up for concern about what liabilities they […]
UMass Chan research finds Medicaid-funded nutrition, housing programs linked to improved health outcomes, lower costs
New research finds Medicaid-funded nutrition and housing programs are linked to improved health outcomes and lower healthcare costs in Massachusetts.
business owner says sex offenders used store address without permission
A Flagler County business owner says registered sex offenders have been using his general store’s address as their residence without permission, raising concerns about public safety and oversight of offender registration requirements.
This Bernie Sanders-endorsed Democrat will try to oust California’s toughest GOP incumbent
Voters rejected establishment politics in a Central Valley primary. Randy Villegas, a political newcomer, beat moderate Jasmeet Bains by focusing on change
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.
Bernie Sanders dodges questions about abuse allegations facing Maine Senate candidate Platner
Sen. Bernie Sanders dodged questions about abuse allegations facing Maine Democratic Senate candidate Graham Platner, refusing to respond at the Capitol.
NC State investigating LSU over Will Wade’s departure. Could legal action be next?
NC State is refusing to release LSU from potential legal action tied to Wade’s acrimonious departure while it looks into what role LSU played and whether it violated trade laws.
Amazon-sold infant nursing pillows recalled over potentially deadly suffocation risk
Parents are urged to stop using recalled Little Grape nursing pillows sold on Amazon due to safety violations and a potential risk of infant suffocation.
Packers emphasizing communication, strong mindset to finish more games
The Packers are a few months away from the start of the season, but they are using the offseason to build better winning habits.
Packers emphasizing communication, strong mindset to finish more games
The Packers are a few months away from the start of the season, but they are using the offseason to build better winning habits.
New solar breakthroughs: the unexpected places scientists are finding revolutionary materials - Futura-Sciences
A Closer Look at Chemical Transformations The team’s breakthrough, recently published in the journal Nature Communications, is the scientific equivalent of pausing a movie in slow motion and noticing brand new characters on the screen. Instead of limiting themselves to the finished product of a reaction, the researchers examined every...
GOP primary for U.S. House seat and Democratic governors race among Nevada's key contests
Nevadans are choosing their party nominees Tuesday for two closely watched congressional seats and the governor’s race, among others, as the state grapples with an affordable housing shortage, exploding energy demand from data centers and federal cuts to key state programs.
macOS 27 Finally Brings Direct Touch Control to Sidecar
Apple has added direct touch input to Sidecar with macOS 27 Golden Gate and iPadOS 27, allowing users to tap and interact with macOS interface elements using a finger on their iPad for the first time. Previously, Sidecar was deliberately limited as a touch interface.
Apple’s iOS 27 goes all agentic on compromised passwords
iBiz might not win the AI race, but analysts say it's focusing on features people may actually use
Spectrum News: Wright State University and Premier Health receive $2.5M grant to expand street medicine
For people experiencing homelessness or unstable housing, they also often face overlapping challenges like chronic illness, behavioral health conditions and substance use that makes day to day living even more difficult. Often a routine trip to the doctor is the … Continue reading →
The science of sweat: How a UF researcher is helping Brazil prepare for the heat of the World Cup
A UF scientist is using the science of sweat to help athletes perform, recover and stay healthy in extreme heat.
Scientists Built a Tool to Predict When You’re Going to Die
Scientists are using the secrets of the genome to predict one of life’s most cryptic events.
Weapon Systems Acquisition: Beyond Business as Usual—Using Leading Practices to Curb Waste and Save Billions
Since 1990, DOD’s costliest weapon programs have consistently exceeded cost estimates and delivery schedules—wasting billions of dollars and decades...
Using Trump-Hitler and Weimar analogies is bad politics
Warning voters of Germany’s past is not what will change minds.
Trump Previews Fall Strategy With Baseless Claims of California Vote Fraud
The president is using the slow count of mail ballots in California to renew his effort to cast doubt on election outcomes he doesn’t like, despite a lack of evidence of any widespread fraud.
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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AJ Patton
Scope of work: A.J. Patton founded 548 Capital and 548 Development to help transform communities and their impact on the planet, developing solutions for the housing, environmental and economic issues facing inner cities. In 2022, he combined the firms into 548 Enterprise.Biggest professional win: 548 Capital rehabilitated a once-decrepit 79th Street building into a sustainable project with 28 affordable units, each with energy-efficient lighting, high-performance windows and state-of-the art HVAC systems, and it will soon include solar photovoltaic rooftop panels.Other contributions: Patton, a member of Crain's 40 Under 40 Class of 2022, is a member of the American Council on Renewable Energy’s Accelerate program, the Chicago Business Leadership Council banking and finance co-chair and a member of the World Leaders Forum board.Crain's 40 Under 40 Class of 2022
Hilda S Renteria
Scope of work: Renteria oversees the firm's audits and attestation engagements, focusing on governmental and nonprofit sectors. She is responsible for completing financial and single audits, implementing new financial reporting standards and driving the firm's audit services growth.Biggest professional win: In 2023, she was featured in Illinois CPA Society's Insight Magazine for her role in expanding the firm's audit practice, surpassing growth targets and introducing new technologies.Other contributions: Renteria co-founded the Prado & Renteria Foundation in 2014 to support Indigenous communities and first-generation college students. She serves on the Illinois CPA Society Government Report Review Committee and is a member of the American Institute of CPAs.
Nicholas M Ryan
Industry: Real EstateAge: 70 (Crain's estimate)Undergrad: Rose Hulman Institute of TechnologyProfessional/civic: National Multifamily Housing Council; Institute for Community
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