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Entertainment Highlights: Marketing director makes directorial debut with ‘Circle Mirror Transformation’

Discover the transformation of J. Bailey Burcham's perspective on community theater as he directs 'Circle Mirror Transformation' at Parish Players.

Jun 10 • 2:35 PM EDT • Entertainment • vnews.com

US judge rejects 'unprecedented' bid to block DOJ transgender health subpoenas nationwide

A federal judge in Maryland on Wednesday rejected a novel bid by LGBTQ rights advocates to secure a nationwide order preventing the U.S. Department of Justice from forcing healthcare providers across the country to turn ​over records about transgender youth who received gender-affirming medical care.

Jun 10 • 1:17 PM EDT • Health • reuters.com

Elizabeth Warren asks SEC to delay SpaceX IPO

Sen. Elizabeth Warren said that under "normal circumstances," SpaceX's IPO alone would be enough to warrant a review.

Jun 10 • 10:21 AM EDT • Business • businessinsider.com

Business Restructuring Review Vol. 25 No. 3 May-June 2026

In This Issue Texas Bankruptcy Court Adopts Barnet Rule Requiring Foreign Debtor to Have U.S. Assets to Be Eligible for Chapter 15 Relief In In re Siu-Fung Ceramics Holdings Limited, No. 24-33299, 2026 WL 382424 (Bankr. S.D. Tex. Feb. 10, 2026), the court denied petitions for chapter 15 recognition of Hong Kong bankruptcy and liquidation proceedings commenced on behalf of an individual debtor and a group of companies that he owned or controlled. According to the court: (i) the corporate debtors' Hong Kong liquidation proceeding was not eligible for chapter 15 recognition because the attorney retainer upon which such relief was based was not funded until nine months after the chapter 15 petition date; and (ii) the individual debtor's Hong Kong bankruptcy case could not be recognized because the debtor's "center of main interests" on the chapter 15 petition date was not in Hong Kong, and he did not even maintain an "establishment" there. [read more …] Southern District of Texas Clarifies Post-Purdue Course for Consensual Third-Party Releases and Gatekeeping Provisions In In re Container Store Group, Inc., 676 B.R. 356 (S.D. Tex. 2026), appeal filed, No. 26-20166 (5th Cir. Apr. 14, 2026), cross appeal filed, No. 26-20166 (5th Cir. Apr. 24, 2026), the U.S. District Court for the Southern District of Texas addressed consensual third-party releases and gatekeeping provisions in the aftermath of the U.S. Supreme Court's ruling in Harrington v. Purdue Pharma L.P., 603 U.S. 204 (2024). Consistent with existing Fifth Circuit precedent, the court confirmed that, in appropriate circumstances, consent for third-party releases may be obtained through a creditor's failure to opt out of granting that consent. But, the court ruled, consent through an opt-out mechanism essentially can never be inferred for creditor classes that stand to receive no recovery under a chapter 11 plan and that are deemed to reject the plan by operation of applicable bankruptcy law. Instead, those classes must affirmatively opt in to any release. The court also narrowed and remanded the bankruptcy court's acceptance of a broad gatekeeping provision, ruling that such provisions must correspond to the restrictions established by Fifth Circuit precedent. [read more …] Delaware Bankruptcy Court: Initial Transferee Need Not Be Defendant in Fraudulent Transfer Avoidance and Recovery Litigation The Bankruptcy Code gives a bankruptcy trustee the power to avoid asset transfers that are either made with the intent to defraud creditors or that are "constructively" fraudulent because an insolvent debtor did not receive adequate value in exchange. The Bankruptcy Code also permits recovery of an avoided transfer from not only the initial recipient, but also from subsequent transferees. Courts disagree over whether a transfer must actually be avoided before the trustee can seek recovery from a subsequent transferee and whether the initial transferee must also be a defendant in the recovery litigation against a subsequent transferee. The U.S. Bankruptcy Court for the District of Delaware weighed in on this debate in Phillips v. SS Associates LLC (In re ONH AFC CS Investors, LLC), No. 23-10931 (CTG), 2026 WL 312892 (Bankr. D. Del. Feb. 4, 2026). The court adopted the majority view, ruling that the initial transferee need not be a defendant in avoidance and recovery litigation against a subsequent transferee, but that the trustee must establish the elements necessary to avoid the initial transfer as part of the recovery litigation. [read more …] New York Bankruptcy Court Weighs In on Adequate Assurance of Future Performance under Assigned Leases and Chapter 11 Plan Exculpation Provisions In order to assume and assign an executory contract or unexpired lease, a bankruptcy trustee must cure most defaults under the agreement and provide "adequate assurance" of the assignee's future performance. However, the Bankruptcy Code provides no guidance as to the meaning of "adequate assurance" other than with respect to shopping center leases. In In re Broadway Realty I Co. LLC, No. 25-11050, 2026 WL 147505 (Bankr. S.D.N.Y. Jan. 19, 2026), the U.S. Bankruptcy Court for the Southern District of New York examined this issue in connection with a proposed assignment of thousands of residential leases as part of a free-and-clear sale of debtors' properties. The court held that "adequate assurance" does not mean a guarantee of the assignee's future performance, but merely demonstration that the assignee has the ability to satisfy the underlying obligations. The bankruptcy court also ruled that an exculpation provision in the debtors' chapter 11 plan exonerating non-estate fiduciaries from liability for actions taken in connection with the chapter 11 case was unobjectionable, provided it was limited in scope to postpetition conduct and actions taken in connection with implementation of the plan after its effective date. [read more …] Newsworthy Corinne Ball (New York) (Hall of Fame), Bruce Bennett (Los Angeles), Carl E. Black (Cleveland), Jeffrey B. Ellman (Atlanta), Brad B. Erens (Chicago), Gregory M. Gordon (Dallas), Heather Lennox (Cleveland/New York), Joshua M. Mester (Los Angeles), and Kevyn D. Orr (Washington) were included in the 2026 edition of Lawdragon 500 Leading Bankruptcy and Restructuring Lawyers. The Daily Business Review selected Isel M. Perez (Miami) as an "On the Rise" winner for the Florida Legal Awards. The Florida Legal Awards annually recognize those who have made significant contributions to the legal industry in Florida. Dan T. Moss (Washington/New York) was inducted as a Fellow in the 37th Class of the American College of Bankruptcy at its Annual Meeting in March 2026 in San Antonio, Texas. Christine Borries (Munich) was ranked in the practice area Restructuring/Insolvency in the 2026 edition of Chambers Germany. The 2027 edition of The Best Lawyers in Singapore™ recognized Sushma Jobanputra (Singapore) in the practice area Insolvency & Reorganization. The restructuring transaction involving Eissmann Automotive North America, Inc. received the "2025 Turnaround of the Year (Large Company)" at the Turnaround Management Association (Detroit) Annual Awards Reception. T. Daniel Reynolds (Cleveland) and Nick Buchta (Cleveland) represented subsidiaries of Eissmann Group Automotive in connection with the parent company's German insolvency proceedings. Roger Dobson (Sydney) is among 40 Jones Day lawyers recognized by The Best Lawyers in Australia 2027 for his contributions in Banking and Finance Law; Distressed Investing & Debt Trading; Insolvency and Reorganization Law; Litigation. An article written by Corinne Ball (New York) titled "Ard Finance—A Global Enterprise Combining an LME With a Foreign Insolvency Proceeding and Chapter 15" was published in the April 21, 2026, edition of the New York Law Journal. An article written by Alex Sapp (New York) titled "Recent Developments in Section 510—Subordination" was published in the 2025 edition of the Norton Annual Survey on Bankruptcy Law. An article written by Brad B. Erens (Chicago) titled "New York Bankruptcy Court Approves Insider DIP Litigation Financing" was published on April 6, 2026, by Lexis Practical Guidance. An article written by Corinne Ball (New York), Dan T. Moss (Washington/New York), David S. Torborg (Washington), and Isel M. Perez (Miami) titled "New York District Court Affirms Narrow Scope of 'Public Policy Exception' in Chapter 15 Cases" was published on April 6, 2026, by Lexis Practical Guidance. An article written by Jeffrey B. Ellman (Atlanta) titled "Statutory Cap on Lease Rejection Damage Claims in Bankruptcy Applies to Solvent Debtors" was published on April 6, 2026, by Lexis Practical Guidance. An article written by Trisha L. Mowbray (Real Estate; Chicago) and Ryan Sims (Washington) titled "Chapter 11 Plan that Abridged Non-Debtor Lessee's Rights to Remain in Possession After Rejection Unconfirmable as Having Been Proposed in Bad Faith" was published on April 6, 2026, by Lexis Practical Guidance. Lawyer Spotlight: Ben Rosenblum Ben Rosenblum, a partner in the New York Office, represents debtors, creditors, and other parties in out-of-court restructurings and court-supervised proceedings, including chapter 11 cases, municipal bankruptcies, international insolvency matters, and stockbroker liquidations. His experience spans industries such as manufacturing, shipping, mining, aviation, energy, real estate, and telecommunications. Ben's notable debtor representations include Peabody Energy, the City of Detroit, Chrysler LLC, Spansion Japan, and Dana Corporation. Significant creditor representations include General Maritime Corporation, Calpine Corporation, American Home Mortgage, and Murray Energy. He currently represents creditors in Puerto Rico's restructuring. He also has extensive experience advising financial institutions on bankruptcy law as applied to derivatives.

Jun 10 • 8:00 AM EDT • Business • jonesday.com

U.K. Needs to Take More Risks to Retain Startups, Business Secretary Says

The government has taken stakes in startups like Kraken, Wayve and Oxford Quantum Circuits in recent weeks, in a bid to prevent them from moving out of the country to look for funding.

Jun 10 • 4:42 AM EDT • Business • wsj.com

Trump invokes ‘The West Wing’ in apparent justification of latest Iran strikes

Trump shared a clip from an episode in which the fictional president, played by actor Martin Sheen, dismisses the idea of a “proportional response” following the downing of a U.S. aircraft.

Jun 10 • 12:20 AM EDT • Politics • washingtonpost.com

Scientists mapped every neural connection in a fruit fly and found a surprise

A groundbreaking new connectome maps every neural connection in an adult fruit fly’s central nervous system, creating an unprecedented view of how the brain and body work together. The findings suggest that complex behaviors emerge from distributed local circuits rather than a single central controller, offering new clues about intelligence, movement, and brain function.

Jun 9 • 8:00 PM EDT • Science • sciencedaily.com

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

Jun 9 • 2:29 PM EDT • Business • wgel.com

'The Amazing Digital Circus' winning streak continues at box office

With a big opening weekend for "The Amazing Digital Circus: The Last Act," digital-native stories prove they can resonate at the box office — if they're authentic.

Jun 9 • 10:00 AM EDT • Entertainment • latimes.com

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.

Jun 8 • 4:44 PM EDT • Science • goodscience.substack.com

InvestigateTV+: Barbers help bridge gap in mental health care

Barbershops are helping with mental health conversations and haircuts.

Jun 8 • 8:59 AM EDT • Health • kptv.com

Tribeca 2026 After Hours: A Guide to the Fest’s Best After Parties and Events

As New York City braces for a stretch of 80-degree days this week, Tribeca’s 25th anniversary edition is also bringing some serious heat to New York’s after-hours circuit. Running June 3-14, this year...

Jun 7 • 10:05 AM EDT • Entertainment • yahoo.com

Southwest eyes deeper revamp; MAX 7 service seen in 2027

Southwest Airlines ​expects Boeing's long-delayed 737 MAX ‌7 to enter revenue service in 2027, about six months after ​the aircraft is certified ​by the U.S. Federal Aviation ⁠Administration, Chief Operating Officer ​Andrew Watterson told Reuters on Saturday.

Jun 6 • 5:17 PM EDT • Business • reuters.com

Backfire News Weekly Recap: June 4–6, 2026

It was a packed week on Backfire News, with coverage spanning Formula 1, NASCAR history, truck culture, collector cars, and a few somber losses across the racing world. Thirteen posts went live between June 4 and June 6, 2026. Here is the full rundown. Formula 1 in the Spotlight F1 dominated the week. A feature on the Monaco Grand Prix experience explored why the street circuit remains the sport's most iconic and unusual weekend, while a look at a $75 million superyacht captured the glamour that

Jun 6 • 4:52 PM EDT • Sports • sports.yahoo.com

DOJ debunks social media claim of discrepancy in LA mayor voting count

A Los Angeles-based Justice Department official late Friday debunked a baseless claim of a discrepancy in the vote count of the city’s mayoral race that has circulated on social media.

Jun 6 • 3:54 PM EDT • Politics • cnn.com

Business group: German MPs should cancel summer recess to pass reforms

The Family Business Association believes the Bundestag, Germany's lower house of parliament, should cancel this year’s summer recess in order to discuss and adopt much-needed reforms. “Under no circum...

Jun 6 • 3:10 PM EDT • Business • yahoo.com

Ferrari confirm Vasseur replacement for Monaco after health-related absence

Ferrari deputy team principal Jerome d'Ambrosio will step in for Frederic Vasseur during Saturday's action in Monaco, Ferrari confirmed to GPblog. The French team principal is absent from the circuit due to health reasons.

Jun 6 • 5:47 AM EDT • Health • sports.yahoo.com

Trump Looms Large Over Upcoming Primary Elections in Washington, DC

WASHINGTON (AP) — The last time Washington, D.C., residents chose a new delegate to Congress and a new mayor in the same election, gas was $1.33 a gallon and George H.W. Bush was president. This fall they will do it again — under starkly different circumstances. As the city heads toward pivotal ...

Jun 5 • 7:42 AM EDT • Politics • usnews.com

‘B—ch’ Move? Allen ‘Finessed’ By DDP Bait-And-Switch

This weekend (Sat., June 6, 2026) at UFC Vegas 118, No. 4-ranked Middleweight contender will take a significant step down the ladder to face unranked boxer Edmen Shahbazyan in the co-main event. Usually, there are extenuating circumstances when a Top 5-ranked contender fights outside the rankings. Some kind of losing streak is involved or the […]

Jun 5 • 3:00 AM EDT • Sports • sports.yahoo.com

Who is cutting $1 million-plus checks to MAGA Inc. and what do they want?

The evidence is circumstantial, but the list is long. Supporters who have business with the federal government clearly see utility in contributing large amounts to President Donald Trump’s super PAC, MAGA Inc.

Jun 5 • 12:00 AM EDT • Politics • cnn.com

Circus Circus Las Vegas Offers Iconic Family Fun, Entertainment and Unforgettable Summer Memories

Circus Circus Las Vegas, the iconic Las Vegas Strip resort and the city's premier family-friendly destination, is welcoming in guests this summer to experience the Las Vegas that started it all: coin-operated slots, paper bingo cards, mesquite-grilled steaks, circus acts, carnival midway, and a five-acre indoor theme park all under one roof.

Jun 4 • 6:26 PM EDT • Entertainment • finance.yahoo.com

Annual Student Research Program Commences

48 undergraduate students from across the country are gathered to participate in a once-in-a-lifetime experience of hands-on science and data-gathering with NASA scientists and university mentors.

Jun 4 • 3:25 PM EDT • Science • science.nasa.gov

Rubio torches Democrat after bizarre hearing questions about his shoes: 'Is this a circus?'

Secretary of State Marco Rubio called a House Foreign Affairs Committee hearing "a circus" after Democratic California Rep. Sara Jacobs questioned him about shoes gifted by Trump.

Jun 3 • 10:03 PM EDT • Politics • foxnews.com

NASA Says Goodbye to its Longtime Mars MAVEN Mission

The space agency announced that the MAVEN spacecraft, which has circled Mars for more than a decade, is being decommissioned.

Jun 3 • 6:45 PM EDT • Science • nytimes.com

Donald Trump says Ron DeSantis would be 'very good' as Attorney General

Is America's Governor in the on-deck circle?

Jun 3 • 5:47 PM EDT • Politics • floridapolitics.com

EA SPORTS launch F1 25 2026 Season Pack worldwide

EA SPORTS have launched the 2026 Season Pack for F1 25, adding the latest regulations, cars, teams, driver line-ups, and the virtual Madring circuit.

Jun 3 • 11:02 AM EDT • Sports • formula1.com

Scientists reverse anxiety by fixing a tiny brain circuit

A newly identified group of amygdala neurons appears to play a central role in anxiety and social behavior. Restoring normal activity in this tiny brain circuit reversed anxiety and social deficits in mice, revealing a promising new target for future treatments.

Jun 3 • 8:00 AM EDT • Science • sciencedaily.com

Health and Safety Impacts of Aircraft Cabin Temperatures

Excessively hot or cold temperatures in commercial aircraft may affect the health and safety of passengers and flight attendants. A new National Academies report surveys the evidence on the influence of cabin temperature and humidity on safety and recommends strategies to improve monitoring and risk management.

Jun 3 • 8:00 AM EDT • Health • nationalacademies.org

Google Releases Fitbit Air CAD Drawings & Specs: Bicep Bands Welcomed!

Google releases CAD drawings and specs for the Fitbit Air pod, allowing 3rd party companies to make band and accessories

Jun 3 • 1:44 AM EDT • Technology • dcrainmaker.com

Scientists' ocean observatory off Oregon, Washington will go dark under Trump funding cuts

Funded by the foundation, the observatories have tracked everything from ocean circulation and marine ecosystems to climate change and extreme weather.

Jun 2 • 9:54 PM EDT • Science • katu.com

Staff Spotlight: Anna Birk, Community Health Intern

Anna Birk, Community Health Intern This summer, The Health Collaborative has 3 incredible students joining us as interns! They each bring something unique to the organization and we were happy […]

Jun 2 • 11:15 AM EDT • Health • healthcollab.org

How Science Works

The 2nd Weather and Climate Livestream is now underway. It is organized by a group of early-career researchers concerned about declining funding for the field and eager to demonstrate how weather and climate research makes a difference in our lives. Last year’s event was a great success, drawing terrific press coverage including a piece in the NY Times. This year features a strong lineup of talks aimed at a general audience — I highly recommend tuning in. Share I gave a talk yesterday about How Science Works in Three Steps. You can see the short presentation here (I’ve appended a transcript below): And please tune into the livestream here. It runs through tomorrow at 6 pm ET. Thanks for reading The Climate Brink! Subscribe for free to receive new posts and support our work. Subscribe Cleaned up transcript: Thank you, and thanks to everyone tuning in. I want to talk about something I think a lot of people don’t really understand: how science actually works. Arguments over any scientific topic — climate change, vaccines, you name it — revolve around competing claims. For climate change, the claims are: Is the Earth warming? Are humans to blame? What will the impacts be? Over the last 150 years, the scientific community has developed a remarkably robust method for sorting out which claims are true and which aren’t. That method is what I want to walk through. So how does science generate knowledge? If you ask a high schooler, they’ll give you the version they learned in ninth grade: an individual scientist forms a hypothesis, runs an experiment, and draws a conclusion. That’s more or less what happens at the individual level, though in practice it’s more iterative — you design, test, and refine all at once, landing on a slightly different idea each time until you reach a conclusion about whatever hypothesis you’ve ended up with. But this isn’t science. It’s only step one. Any individual scientist can make mistakes — scientists are human. Maybe there’s a bug in the code, maybe there’s an error in the experiment. Just because someone ran an experiment and reached a conclusion doesn’t mean it’s right, and scientists don’t treat a single result as settled truth. Step two is peer review, the first layer of quality control. The scientist writes up what they did and submits it to a journal, which sends the paper to other experts in the field. Those experts judge whether the methods are sound, whether it properly references prior work, and whether the conclusions actually follow from the data. Ask any scientist and they’ll tell you peer review is miserable — the comments come back brutal, often harsh, and you have to revise and resubmit, sometimes multiple times, before an editor finally accepts the paper. Peer review catches an immense amount of bad science, but it can’t catch all of it. Reviewers get sloppy or overworked, they miss obvious mistakes, and they can’t catch hidden errors — a bug in the code, a misread instrument. So a peer-reviewed paper making it into a journal doesn’t mean the paper is right. Nobody treats a single paper as the final word. That’s where step three comes in: the crucible of science. Important results get retested by the broader community. If you publish something interesting, it gets dissected. Sometimes people try to reproduce your work directly but more often they test its implications. If someone claims X is true, and that implies that Y is also true, then scientists will go check Y. If a claim survives this gauntlet long enough, it becomes accepted. That’s how we generate knowledge. Let me give an example: the ozone hole. In 1985 — and I doubt many people watching were around then, but I remember it well — Joe Farman and his colleagues published observations from Antarctica showing that a huge chunk of ozone was disappearing every year. This was shocking because most atmospheric chemists had expected ozone loss to occur at mid-latitudes and high altitudes, not over the South Pole. When scientists see something they don’t understand, they rush to explain it, and several competing hypotheses quickly appeared in the peer-reviewed literature. One pointed to chlorine chemistry from chlorofluorocarbons. A second blamed nitrogen chemistry, possibly driven by solar proton events — meaning the sun was responsible. A third argued it wasn’t chemistry at all but dynamics: winds were carrying naturally low-ozone air from the lower atmosphere up into the stratosphere. Then the community went to work testing which theory could survive the crucible. Aircraft flew into the ozone hole and found no nitrogen, ruling out the nitrogen theory. Measurements showed the air in the polar vortex was descending, not rising — which would bring high-ozone air down, eliminating the dynamics theory. Meanwhile, those same flights measured enormous amounts of chlorine, strongly correlated with exactly the regions where ozone was being destroyed. That became known as the “smoking gun” paper, and it established that chlorine chemistry was the cause. Through this process, a consensus emerged. And it’s worth being clear that this consensus is organic. There’s no vote, no poll, no meeting where it gets decided. Scientists go to conferences, talk to one another, and independently arrived at the same answer. It’s the ultimate free market of ideas. After the consensus was established, the peer-reviewed literature doesn’t even mention the rival theories — it simply takes chlorine chemistry as given. That’s what a consensus looks like. It doesn’t mean every single scientist agrees, but it does mean there’s no longer any legitimate debate. So where can you see what scientists actually think? It’s all in the peer-reviewed literature, which contains the entire historical record of the argument: the discovery, the competing theories, the debate, the testing, and finally the community coalescing around one answer. But there’s a lot of room for misrepresentation. You can dig up an old paper claiming the ozone hole was caused by dynamics and wave it around as if there still was a debate about the cause of the ozone hole — without mentioning that the idea was disproven long ago and that even its own authors no longer believe it. There’s a bigger problem, though: the peer-reviewed literature is written in a language I call “nerd.” It’s extremely hard to read — honestly, some of it is hard for me to follow. It takes graduate students years to work through the literature in a single field, so we can’t expect policymakers or ordinary people to do it. This is where scientific assessments come in. The most famous is the IPCC — the Intergovernmental Panel on Climate Change. The job of an assessment is to read and summarize the peer-reviewed literature, synthesizing what’s settled, what’s been disproven, and what remains genuinely debated. To ensure the assessments accurately summarize the peer-reviewed literature, assessments are written by large teams, which are far less prone to bias than individuals and which dilute the influence of any one scientist with an axe to grind. The teams are deliberately assembled to avoid stacking the deck, and the reports themselves go through multiple rounds of peer review. That rigorous process is exactly why you can trust them and why people consider the IPCC to be the gold standard of what we know about the climate system. An assessment produced through a different process may well not be credible. You can even watch the consensus evolve across assessments. Take the attribution of warming. The 1990 IPCC report said the observed warming was broadly consistent with model predictions but also comparable to natural variability — in other words, we don’t know whether humans are responsible. By 1995, it concluded that the balance of evidence suggested a discernible human influence — a sentence only a committee could write, and one that barely commits to anything. By 2001, most of the warming over the previous 50 years was judged “likely” due to greenhouse gases; by 2007, “very likely”; by 2013, “extremely likely.” The 2023 report says essentially the same as 2013 — there’s not much stronger language available. So, to wrap up: science is our ultimate tool for deciphering the universe — the most successful method we’ve ever developed for determining what’s true and what isn’t. Our understanding is written into the peer-reviewed literature, so if you want to know what scientists think, that’s where to look. And for those of us who don’t speak nerd, scientific assessments are the Rosetta Stone — they translate nerd into English. Let me open the floor to questions. Thank you.

Jun 2 • 10:35 AM EDT • Science • theclimatebrink.com

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Jun 2 • 6:00 AM EDT • Technology • traxion.gg

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Jun 2 • 12:00 AM EDT • Science • catholictimescolumbus.org

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Jun 1 • 9:03 PM EDT • Politics • foxnews.com

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Jun 1 • 8:39 PM EDT • Politics • spectrumlocalnews.com

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Jun 1 • 1:00 PM EDT • Technology • gematsu.com

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Jun 1 • 12:58 PM EDT • Health • 6abc.com

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May 31 • 2:11 PM EDT • Entertainment • thedailybeast.com

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May 31 • 8:00 AM EDT • Science • sciencedaily.com

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May 30 • 10:43 AM EDT • Health • abc7ny.com

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May 29 • 8:00 PM EDT • Technology • sciencedaily.com

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May 29 • 8:00 PM EDT • Science • sciencedaily.com

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May 29 • 8:00 PM EDT • Science • sciencedaily.com

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May 29 • 11:00 AM EDT • Sports • sdpb.org

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May 29 • 10:26 AM EDT • Politics • floridapolitics.com

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May 27 • 2:29 PM EDT • Health • time.com

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May 27 • 8:06 AM EDT • Politics • aljazeera.com

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May 26 • 5:40 PM EDT • Business • businessinsider.com

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May 26 • 3:00 PM EDT • Business • nsf.gov

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May 26 • 6:25 AM EDT • Sports • sports.yahoo.com

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May 26 • 5:23 AM EDT • Health • army.mil

Public Health Command Europe Hosts 71st International Military Veterinary Exchange

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May 25 • 8:00 PM EDT • Health • dvidshub.net

How integrating tradition and self-care has strengthened public health in the Americas

On 13 May 2026, a regional dialogue for the Americas titled, Innovative Experiences to Strengthen Health and Self-Care through Traditional, Complementary, and Integrative Medicine, was hosted by EsSalud, the government agency responsible for social security and health care in Peru.The event brought together representatives from the World Health Organization (WHO), the Pan American Health Organization (PAHO), WHO collaborating centres, the health sector and academia. It presented regional perspectives from BrBolivia, Brazil, Mexico and Peru to explore how self-care and traditional medicine can strengthen public health, empower communities and support more inclusive models of care. Across all four countries, a clear message emerged: traditional medicine is not being positioned as an alternative to formal systems, but as a way to strengthen them. In the Americas region, the challenge is to consolidate intercultural and holistic care, with the aim of strengthening the healthcare system – making care more preventive, culturally relevant and community-based.Peru: institutionalizing complementary care over 28 years Dr Martha Villar López from EsSalud Peru demonstrated how integration can be institutionalized over time. With nearly three decades of investment, including a research programme dating back to 1998, traditional medicine is now embedded within public health infrastructure. EsSalud’s flagship programme, Reforma de Vida, operating as Prevenir, takes multidisciplinary teams into workplaces to reduce and detect risk factors for chronic noncommunicable diseases. Education cycles are structured around three pillars: celestial nourishment, focused on life purpose and movement; terrestrial nourishment, centred on regional food and healthy diets; and human nourishment, addressing identity, relationships, stress and spirituality. Grounded in Andean cosmovision and the principle of the ayllu, the programme aligns with local cultural values. Since 2007, it has trained over 6600 health leaders, certified more than 3100 health-friendly organizations and built alliances with nearly 11 000 employers.Bolivia: legal recognition and medical pluralism Adelino Pau Carpacheco, an 82-year-old Callawaya healer, described working with more than 220 medicinal plants, supported by deep generational knowledge. Traditional healers and plant medicine are highly respected in the country. Bolivia’s contribution also highlighted the role of policy in enabling integration. Through Law 459, traditional medicine has been formally recognized within a legal framework and led the country to medical pluralism where traditional medicine coexists with biomedicine, and both are now offered free of charge through the public health system. Mexico: preserving Indigenous knowledge and reinventing food culture Mexico presented two complementary approaches focused on knowledge preservation and food systems. In Veracruz, communities partnered with a university to safeguard Totonac traditional medicine through a diploma programme launched in 2019. This collaboration has already produced practical outputs, including manuals and a dictionary, helping to sustain knowledge at risk due to migration and generational change. Alongside this, Dr Hernán García, Directorate of Traditional Medicine and Intercultural Development – Mexico, explained how the Dieta de la Milpa programme addresses Mexico’s dual burden of malnutrition and rising noncommunicable diseases. Rooted in traditional Mayan cultivation systems and ingredients, it promotes healthier diets through community-led, intercultural approaches involving local authorities, Indigenous leaders and cooks. By reconnecting food, culture and health, it offers a practical pathway to prevention. Brazil: community therapy as a public health tool Brazil’s experience centred on Integrative Community Therapy, a methodology developed over 40 years ago by Dr Adalberto Barreto and now used in more than 47 countries. Therapy circles create spaces where participants share experiences and coping strategies, building social support networks at very low cost. Within Brazil’s Unified Health System, the approach has expanded rapidly since its inclusion in national policy in 2017. By 2025, more than five million integrative practice procedures were delivered annually in primary care, with registrations for this therapy increasing by over 500% in eight years. The main challenge now is equity, with access still concentrated in urban areas such as São Paulo. A shared regional direction against a global backdrop Drawing these experiences together, Dr Natalia Aldana of the TCIM Network of the Americas highlighted the shared outcomes of the interventions discussed. Such approaches strengthen healthy behaviours, social networks and community resilience; they are low-cost, adaptable and enable active participation in care, while showing potential to reduce the burden of noncommunicable diseases.The regional momentum mirrors a broader global shift. Dr João Paulo Souz, Director of BIREME (Latin American and Caribbean Center on Health Sciences Information), the specialized center of PAHO/WHO, emphasized that the Global Traditional Medicine Strategy 2025–2034 promotes a vision centred on people, evidence and integrated use. He noted that health should be understood through the relationships between people, community, nature and spirituality. Self-care interventions as a critical pathway towards universal health coverage Dr Manjulaa Narasimhan, Unit Head for Sexual Health and Well-being across the Life-course at WHO, delivered a presentation titled Advancing Self-Care in Traditional Medicine: Aligning the WHO Traditional Medicine Strategy 2025–2034 with the WHO Self-Care Framework, co-authored by Dr Geetha Krishnan Gopalakrishna Pillai, Unit Head for Research, Data and Innovation at the WHO Global Traditional Medicine Centre. WHO recommends self-care interventions for every country and economic setting as a critical path to reach universal health coverage – and traditional medicine acts as a bridge for self-care. Dr Narasimhan explained that traditional medicine contributes most effectively to self-care when embedded directly into primary health care, not operating in parallel, siloed systems. This, she stated, “is possibly the only sustainable way to deliver continuity of care that meets the needs, rights and priorities of communities and individuals”. The Global Traditional Medicine Strategy 2025–2034 is a move towards a more people-centred approach to health care that champions holistic approaches to health equity and patient autonomy.The integration of traditional medicine and self-care requires collaboration across disciplines, clear referral pathways, trained health and care workers, and strong leadership that supports integration. The WHO self-care competency framework defines 10 key competencies for health and care workers to support self-care in their clinical practice, supported by the WHO guideline on self-care interventions for health and well-being. These documents help health-care workers safeguard their own well-being and ensure that care is consistent, safe and grounded in shared standards and values.Together, the discussion through this dialogue points to a fundamental shift in how health systems are designed in the region, and globally, towards models that are more inclusive, culturally-grounded and responsive to the needs of the communities they serve. It is a move towards a system where traditional medicine is respected and responsibly integrated, where self-care provides empowerment and evidence-based care, and where health systems are supportive rather than being distant from these systems.Traditional medicine perspectives from Bolivia, Mexico and Peru - WHO's "Restoring Balance" seriesInnovative Experiences to Strengthen Health and Self-Care through Traditional, Complementary, and Integrative Medicine was streamed in Spanish, with Spanish and Portuguese subtitles. Recordings are available through the CABSIN YouTube channel with Portuguese subtitles and on the BVS MTCI Americas YouTube channel with Spanish subtitles. Dr Narasimhan’s session can be watched in English on both channels.

May 24 • 8:00 PM EDT • Health • who.int

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May 24 • 7:21 PM EDT • Sports • sports.yahoo.com

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May 24 • 5:12 AM EDT • Business • businessinsider.com

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May 24 • 5:01 AM EDT • Business • nytimes.com

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May 23 • 8:00 PM EDT • Science • sciencedaily.com

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May 23 • 8:00 PM EDT • Business • buildingindiana.com

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May 23 • 6:00 AM EDT • Sports • nytimes.com

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May 22 • 11:17 PM EDT • Health • yahoo.com

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May 22 • 8:00 PM EDT • Business • buildingindiana.com

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May 22 • 12:18 PM EDT • Technology • macrumors.com

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May 22 • 9:57 AM EDT • Entertainment • hngnews.com

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May 21 • 12:58 PM EDT • Entertainment • wfaa.com

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May 21 • 10:52 AM EDT • Sports • sports.yahoo.com

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May 21 • 9:23 AM EDT • Politics • upi.com

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May 20 • 8:00 AM EDT • Sports • news.ea.com

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May 20 • 6:00 AM EDT • Science • latimes.com

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May 19 • 4:15 PM EDT • Entertainment • latimes.com

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May 19 • 12:33 PM EDT • Business • thebusinessjournal.com

New MatterChat Model Helps AI to ‘See’ the Language of Science

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.

May 18 • 11:00 AM EDT • Science • newscenter.lbl.gov

Power Families of Chicago: Sacks

With influence in education, philanthropy and political circles, Michael and Cari Sacks are among Chicago's most powerful families.

May 18 • 6:30 AM EDT • Business • chicagobusiness.com

IRC to World Health Assembly: Close the Global Health Equity Gap — for the World’s Benefit

As the world faces the largest Ebola outbreak in more than a decade in a region with chronic violence and instability, and as infectious diseases such as the hantavirus command global attention, the International Rescue Committee is urging delegates gathering for the 79th World Health Assembly (WHA79) to make sustained investments into fragile and conflict-affected states.

May 17 • 8:00 PM EDT • Health • rescue.org

UK ex-health minister says will run to replace Prime Minister Keir Starmer

Pressure mounts on Starmer's government, as Labour rivals including recently resigned Wes Streeting circle.

May 16 • 1:32 PM EDT • Health • aljazeera.com

Fitbit Air: 24 Hours Later First Impressions

Here's your first impressions of the Fitbit Air, and how it compares physically to Whoop 5.0/MG, Amazfit Helio, and the Polar Loop.

May 16 • 6:37 AM EDT • Technology • dcrainmaker.com

Grand jury indicts 2 petition circulators in 2024 signature-forgery case

A statewide grand jury has indicted two petition circulators on allegations that they forged signatures while gathering support for a proposed constitutional amendment on the 2024 ballot. According to Colorado Attorney General Phil Weiser, the circulators — Cherell Long of Nevada and Martin Arellano of Texas — were working for a Colorado Springs–based canvassing firm […]

May 15 • 2:41 PM EDT • Politics • coloradopolitics.com

What's happening at the Waunakee Public Library

Circulation desk—608-849-4217 waupl@waupl.org

May 15 • 9:57 AM EDT • Entertainment • hngnews.com

‘One of the most important living laboratories’: Scientists raise alarms over push by Lee, Maloy to scrap Grand Staircase-Escalante plan

Scientists are asking Congress to keep the 2025 management plan for Grand Staircase-Escalante National Monument, what they call “one of the most important living laboratories in North America.”

May 15 • 8:00 AM EDT • Science • sltrib.com

Trevor Lawrence sports new haircut in Jaguars' NFL schedule release video

The Jacksonville Jaguars quarterback may have gotten a haircut, if the team's NFL schedule release video is to be believed.

May 15 • 12:52 AM EDT • Sports • usatoday.com

The brain’s “feel good” chemical may be secretly fueling tinnitus

Scientists have uncovered evidence that serotonin — the same brain chemical boosted by many antidepressants — may actually worsen tinnitus. Using advanced light-based brain stimulation in mice, researchers identified a serotonin-driven circuit linked directly to tinnitus-like behavior. The findings may explain why some people experience louder ringing in their ears while taking SSRIs.

May 14 • 8:00 PM EDT • Science • sciencedaily.com

Iridium to take over Aireon in $367 million deal to expand aviation safety business

Iridium Communications is buying the rest of the Aireon aircraft-tracking venture its connectivity constellation hosts to push further into aviation safety, surveillance and data services.

May 14 • 11:25 AM EDT • Business • spacenews.com

Community health workers are key to health equity

Community health workers are integral in helping ensure everyone has the opportunity to reach their full health potential regardless of their circumstances.

May 14 • 12:01 AM EDT • Health • ctmirror.org

Time matters: circadian genetics and the molecular logic of human health and disease

Nature Reviews Genetics - The circadian clock controls transcriptional and signalling networks across tissues to maintain homeostasis, with pathological consequences to its disruption. Kuo et al....

May 13 • 8:00 PM EDT • Health • nature.com

Indiana Jones and the Great Circle Nintendo Switch 2 tech analysis, including frame rate and resolution

Digital Foundry has provided its technical analysis of Indiana Jones and the Great Circle on Nintendo Switch 2, which goes over the game’s frame rate, resolution, and more in detail. Overall, MachineGames has produced what looks to be a solid port. The game even retains ray tracing and other graphical features present in other versions. Here’s the full roundup of...

May 13 • 1:22 PM EDT • Technology • nintendoeverything.com

Review: Indiana Jones and The Great Circle Arrives Surprisingly Intact on Switch 2

With image quality that eclipses Xbox Series S.

May 13 • 1:00 PM EDT • Technology • digitalfoundry.net

United Automobile, Aerospace & Agricultural Implement Workers of America

The labor union representing workers in auto, aircraft and agricultural implement manufacturing and other industries in the U.S., Canada and Puerto Rico.

May 13 • 9:02 AM EDT • Science • uaw.org