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This week in Santa Cruz County business: Paystand branches into AI agents; court hearing for former Scotts Valley executive; Barilla snaps up Goodles
In this week's survey of local business, Jessica M. Pasko reports on the rollout of a new AI tool for Santa Cruz-based fintech company Paystand, notes a court date for a former executive of Scotts Valley's Ambient Photonics and runs down other numbers, names and dates to know.
Chubb names digital distribution chief for small commercial
Jennifer Burnham will lead Marketplace and API channel expansion for independent agents
NiteShyft Announces October Launch of AI Business Operating Platform for Small Companies
NiteShyft will open its AI business operating platform to the public in October 2026, following private testing in which AI agents completed more than 2,000 business tasks at a median speed 736 times faster than benchmark estimates, according to company records.Dubai, United Arab Emirates--(Newsfile Corp. - September 8, 2026) - NiteShyft today announced that its business operating platform will open to the public in October 2026, following a private testing period in which the platform executed.
Top seven free agents still available (not including Jalen Duren)
Why Life’s Origin Can Only Be Explained by Design
The reagents of the feedstock are never produced by processes as on the early Earth. Production requires substantial energy and controlled industrial procedures
OpenAI reveals how much its researchers are spending on AI coding
OpenAI researchers spend heavily on AI coding agents, with top users burning through $7,000 daily in tokens.
Roma consider pay-as-you-go deal for Sancho
The transfer window has closed, but the work at Trigoria may not be finished yet. Roma continues to monitor the list of free agents, seeking an opportunity to complete Gian Piero Gasperini’s squad e...
OpenAI's chief scientist calls for AI slowdown over rogue agent risks
OpenAI's chief scientist, Jakub Pachocki, warned that increasingly autonomous AI agents could evade oversight, hack systems, and blackmail humans.
Here are some of the wildest ways AI agents are circumventing rules
Some AI doomers worry that misaligned AI agents will go rogue and harm humanity. Recent activity is inflaming those fears.
ICE raids spark division in Indianapolis as federal policies change
Immigration and Customs Enforcement agents launched a series of raids across Indianapolis, sparking intense political debate between local leaders who condemned the actions as cruel and federal supporters who defended them as a constitutional responsibility.
One Jaguars player ranked among best 2027 NFL free agents
One Jacksonville Jaguars player was ranked among the best available free agents in 2027.
Agents plan for Liverpool star revealed, he's gone
The summer transfer window may have only just shut but, the rumour mill is already beginning to turn. Liverpool added four new players to their ranks this summer with Bradley Barcola and Ronald Araujo...
Pair of Buccaneers Among Top-15 Potential 2027 Free Agents
The Buccaneers have two of the top potential 2027 free agents. Whether they can keep Baker Mayfield and YaYa Diaby will have a huge effect on the team's future.
Seattle Seahawks Named Landing Spot for Former NFL Rushing Champion
The Seattle Seahawks have an inexperienced group of healthy running backs, and a former NFL rushing champion remains available.Sports Illustrated’s Randy Gurzi included Kareem Hunt among three free agents Seattle could consider adding if concerns emerge after Week 1.Hunt spent the past two seasons back with the Kansas City Chiefs and recently visited the Detroit […] The post Seattle Seahawks Named Landing Spot for Former NFL Rushing Champion appeared first on HEAVY.
OpenAI says it will better inform the public when AI agents go rogue
OpenAI says it needs better standards for disclosing rogue AI incidents after its agents hijacked an old German wiki.
OpenAI acknowledges 'wiki incident' and need for more transparency around unintended AI behavior
OpenAI said on Saturday that its agents had appropriated wiki sites as impromptu message boards, adding that more transparency was needed around such incidents.
OpenAI Agents Hijacked German Site, Researchers Say
TEHRAN (Tasnim) – OpenAI agents carried out more than 15,000 edits on a German-language wiki site, repurposing it as a message board to share tactics for bypassing restrictions and avoiding detection, according to researchers who uncovered the activity in late August.
Anthropic’s Claude Can Now Autonomously Run Science Experiments With Lab Equipment
A new system allows agents to orchestrate complex experimental processes and extends Anthropic's reach into the physical world.
Roma Evaluating a Few Free Agents to Plug Some Holes
Roma didn’t reach all their goals during the summer window, but some help could come from the players currently without a team. The Giallorossi are currently short one attacker and one wing-back.Acc...
Raiders sign 3 including former 1st round G Evan Neal
The Raiders added three free agents on Thursday, releasing three others to make room.
AI agents not ready to replace humans in behavioral research
A new study finds that digital twins don’t yet replicate the views of the individuals they are modeled after.
Nvidia PAIR Speeds Up AI Agents by Annexing PCs on Your Network
It's the home LAN reimagined.
Federal agents raid Pearl City poke business
The DEA did not comment on the case, citing the ongoing investigation.
Acer Builds Small Desktops for Local AI Agents
Acer showed two compact AI desktops: one built on Nvidia's RTX Spark superchip, the other on Intel Core Ultra processors.
Spanberger's ICE restrictions dealt major setback as judge warns other blue states
A federal judge blocked a key part of Gov. Abigail Spanberger's law restricting local 287(g) cooperation with ICE as Republicans say they warned her.
This Is the Worst Possible Time for OpenAI to BfЖ7!م#2猫$9&क
While the world braces itself for a new era of rogue AI agents, the company is reportedly dabbling with a risky new technique.
What Happens When AI Starts Doing Business with AI?
As AI agents increasingly interact with one another on commercial platforms, firms need new rules governing what those agents can see, decide, and do. In a controlled AI-to-AI simulation covering 160 governance runs and 2,560 observations, researchers tested four governance mechanisms: information disclosure, agent autonomy, reputation signals, and structured interaction protocols. Rich, machine-readable information helped agents identify promising counterparties, while greater autonomy improved their ability to move opportunities toward commitment. Reputation signals helped agents determine which opportunities deserved attention. Rigid interaction protocols, however, reduced engagement and exchange progression. The findings suggest that firms should establish clear levels of agent authority, run bounded experiments, provide structured information and reputation signals, and design explicit handoffs from agents to human decision-makers.
August Monthly Review: ChatGPT In Epic
Death, taxes, another frontier lab healthcare launch inspiring truly insane LinkedIn takes. As much as I want to stay away, I repeatedly am the crewman unplugging his ears whenever we pass these sirens. So it’s not the first and probably not the last time we dial up the typewriter rather than tie ourselves to the mast. The full blow-by-blow timeline: Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe The End of the Standalone PHR (Jan 8): ChatGPT Health arrives for consumers, at the time powered by b.well. I was bullish on the approach in that the best way for the PHR to finally solve distribution was to meet consumers were they already are (i.e. When Horizontal Meets Healthcare (Jan 9): OpenAI for Healthcare puts out the shingle for enterprises, with SharePoint ingestion standing in for the EHR integration the product actually needed. Another One: Anthropic’s Healthcare Debut (Jan 16): Claude's version, on HealthEx rails instead of b.well, with Agent Skills for FHIR development as the one true vertical-specific investment. ChatGPT for Clinicians: The Trap Sprung (Apr 24): OpenAI filled in the missing GTM middle with a free product for verified clinicians, effectively peeling the enterprise wrapper off ChatGPT for Healthcare and taking the PLG fight directly to OpenEvidence. OpenAI’s Second Attempt at Health (Jul 31): a relaunch of their patient specific app, now branded Health in ChatGPT, where the privacy partition came out, the connectors thinned, and b.well disappeared in favor of first-party FHIR work against a smaller network Beyond a Shingle So what was announced now? Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires. The core portfolio is unchanged from prior announcements we delineated and discussed (aside from the relaunch of patient-facing). Since trade publications still seem to be confusing them by using the wrong names: Enterprise sales motion: ChatGPT for Healthcare Protecting their core product / PLG: ChatGPT for Clinicians Consumer/patient-facing product: Health in ChatGPT So really, this is a feature release (specifically for ChatGPT for Healthcare when it comes to EHR integration). What’s cool about it, though, is that we are moving beyond just putting out a shingle. Everything in the January enterprise launch was horizontalizable: Horizontal tech companies thus generally start verticalization with their “putting out a shingle phase”. Telling the world you’re open for business as a horizontal tech company reliably attracts early inbound interest from buyers who are already trying to force-fit horizontal tools into domain-specific workflows and are eager for any signal that the vendor intends to support their use case more directly. Nothing was really vertical specific, which is exactly what you'd expect from the ultimate hypergrowth horizontal company dipping their toes into specific industries. But eventually you have to stop changing the sign on the door and start changing the product. Can you guess where the horizontal product was going to run out of road? This is the core dilemma writ large: verticalization requires differentiation, while scale economics of consumer and horizontal push toward unification. I’ve buried the lede so deep here it will be painful to some readers, but what should be shocking to no one is that my perspective is that EHR integration is the only path that meaningfully resolves this tension for ChatGPT for Healthcare. Integration with Microsoft Sharepoint is fine, but it is categorically insufficient for any product that hopes to influence clinical decision-making. SMART Money Well here we are, eight months later! Real vertical investment has begun, which surprised a few people. One friend in the industry messaged me: “Absolutely no way Epic gave ChatGPT API access.” Looking forensically at the announcements, the integration is notably read-only across appointment notes, laboratory results, medications, and specialist documentation. So while I’m not a betting man, I'd wager the house this is a SMART on FHIR launch: That sounds a lot like USCDI! The recommended path for the workflow they outline would be SMART on FHIR Their Health AI lead’s post is evocative of both standalone and EHR launch SMART, which another termed “ChartGPT” and “EHR Plugin” The implementation burden for SMART on FHIR is the lowest of the available integrative paths This is the team who literally did patient-facing SMART on FHIR with Epic last month Most importantly, if you’re a horizontal company, you generally still haven’t taken the full plunge and thus (overly) value reusability. SMART on FHIR is the logical compromise: healthcare-specific enough to matter, but standardized enough to reuse. Nobody Asked Judy Another friend asked “I thought they had to go to each health system, or did they go direct to Epic and now health systems opt in?” Given the trust paradigms in healthcare, this functionally cannot be Epic hoovering up all the data for OpenAI and shoving ChatGPT in their customers’ faces (or they would revolt). However, I do believe the aforementioned terrible coverage by TechCrunch and other outlets is probably responsible for that question, given the 325 million reference. When using FHIR as a business associate to an Epic customer, there is no EHR gatekeeping to speak of, as that isn’t how fhir.epic.com works: You register an app You pick your APIs You test against the sandbox APIs You list as “Ready for Production” Hospitals pick your app You test and go live with them Bluntly, nobody had to say yes or no in Verona (nor were they given the chance). Vendor Services (their next developer tier up that I doubt OpenAI is using quite yet in this initial release) certainly has contractual paperwork that some resent, but even there, the twin pressures of mounting antitrust and information blocking make outright gatekeeping increasingly fraught. My friend’s sentiment is, to me, representative of a broader industry neurosis, perhaps a sort of scar tissue of prior eras: people assume the gate is still there and never actually try the door. There are certainly other ways Epic (and any EHR) can put its thumb on the scale, but they are not so dumb as to stand in front of a federally mandated API and play bouncer at this exact moment in time. So I think they can and probably should go deeper, as this release is at best parity and at worst behind vertical-specific competition. OpenEvidence did a basic SMART launch with Sutter Health in February, allowing for more convenient evidence search by providers. They then add patient-context (the equivalent SMART on FHIR flow to what we see here) when Cedars-Sinai went enterprise-wide in May. UpToDate has four distinct applications across deeper workflows like patient engagement listed in Epic Showroom and announced a partnership with Epic to power Art at UGM Abridge and other ambient scribes have invested deeply into the deepest bidirectional clinical copilot workflow with integrations well beyond SMART on FHIR. In that light, the “Who is OpenAI primarily targeting here?” is clear. This release brings them into striking distance of OpenEvidence, but not the others quite yet. They are the only one of the three you can reach without building something truly Epic-specific. When will they go further? Competition is a great motivator to overcome the horizontal demons and start building things that can’t be reused: not across industries, not across EHRs, maybe not past the customer you built them for. That’s the price of actually verticalizing. The question is if and when OpenAI will be willing to pay it. Month in Review Here is the monthly review. As a reminder, this is a regular round-up of the month’s posts and other content to surface things you may have missed across regulation, litigation, interoperability, and beyond. AI assistance is used in these bullet summaries so I can focus on articles. Articles Published: None this month Video Content: The Information Exchange: Standards-based Thruple Edition (Aug 14): Back to school for us too, with Brad reporting in from the CMS Health Tech Ecosystem’s one year anniversary in DC. We get into the January CMS-0057 deadline, the fall rulemaking reading list, and why enrollment still keeps most apps off FHIR. The Information Exchange: Epic Dúnadan Edition (Aug 25): A UGM roundup with Ryan Brickner joining for the first time to check our takes against what the building actually thinks. Rangers, Ergo sitting on top of EHI, and a down-market lineup that needs some cuts. Regulatory: Stacked Deck, Bad Hand (Aug 05): ONC’s website refresh took the entire HIT Policy Committee record with it, so I rebuilt the archive and went looking for the regulatory capture story everyone assumes is buried in there. Stacking the deck and winning the hand turn out to be very different things. The Sixth Generation of Patient Access (Aug 19): A quick catalog of the five generations of patient access we’ve layered on since HIPAA, and the two candidates now competing to be the sixth. One is planned. The other is the market routing around the plan entirely. Court cases: Three Cases Walk Into a Docket (Aug 06): Two surprise settlements cleared the board in a single week, and then Judge Maddox dropped ninety-four pages on Vyne v. Henry Schein. The sleeper is a DMCA holding that makes direct-to-database a considerably riskier business model. Epic v. Health Gorilla: Into the MDL (Aug 10): Nine class actions are headed to Miami, and the Panel signaled it wants to bring the case that spawned them along too. That would leave Epic arguing the requests were obviously fraudulent in one courtroom and unknowable in the other. Amazon v. Perplexity: Agents Are Legalized! (Aug 11): The Ninth Circuit vacated the injunction against Comet, holding that the user is the one accessing the servers rather than the company that built the agent. A real win for agentic access, and a much narrower one than the headline suggests. Veeva v. Epic: Come At Me, Bro (Aug 26): Epic’s response brief wants the dismissal affirmed and, unusually, wants the opinion published as precedent. Buried in it is Epic’s own description of what its non-competes actually prohibit, which current and former employees should read closely. EHRs: The Contract Epic Would Never Sign Today (Aug 04): A 1999 SEC exhibit catches Epic licensing nearly its entire product line, Tapestry included, to the company that became TriZetto. The marketing services menu attached to it is the part that will make you blink. Forecast from Verona (Aug 07): The Epic Almanac makes one argument six different ways: the AI is only as good as the networks behind it. Emmie headlines, Art’s context stack is the most ambitious part, and Penny finally gets an autonomous coding date on the calendar. Works With Epic MyChart (Aug 17): Epic’s first new Showroom category since the death of Workshop certifies hardware instead of software, badge on the box and all. Made for iPhone, but for blood pressure cuffs, and rough news for anyone selling the RPM stack sitting in between. UGM Hot Takes 2026 (Aug 20): Everyone else covered the AI announcements, so I went after Savvy deleting the payment gateway, Rangers as Boost with the timer removed, and a down-market lineup with too many entries. Plus the Health Grid tidbits I cannot help myself on. MyChart Central Grows Up (Aug 24): Device data and Emmie turn Epic’s identity hub into a full consumer platform, which is both a logical answer to ChatGPT and a bit of a mistake. It also happens to be the best scraping target Epic has ever shipped. Industry Analysis: The Wrong Yardstick (Aug 12): Vertical software keeps getting judged against Superhuman and Notion, which is the wrong bar entirely. Your user is comparing your product to a whiteboard and forty phone calls before lunch. Primitives vs. Abstractions (Aug 27): Developers want building blocks, systems of record prefer to hand out business logic, and both sides have a real case. There’s no test from the outside that separates the engineering reason from the competitive one, which is why this keeps ending up in court. Cross-industry Comparisons: The Two Kinds of Platform Power (Aug 18): Attention power and record power are different problems that keep getting handed the same regulatory toolkit. Congress’s latest swing at Big Tech shows both what’s possible and where it falls apart. The Dogs of (Platform) War (Aug 21): A CourtListener alert turned up a property management fight with healthcare’s exact shape and none of the Cures Act. Shell prospects, ghost accounts, a notetaker bot that came back to haunt someone, and a lawyer arguing both sides of the same theory in two states. Fractals All the Way Down (Aug 31): Yardi dominates property management right up until you zoom into one segment, where AppFolio owns it outright and Yardi doesn’t appear at all. Where you draw the line around a B2B software market is about to decide an awful lot of cases. Other News: If Judy Had the Courage (Aug 13): A short eulogy for the era when software was allowed to look insane: WinAMP, bold colors, and everything the grey chatbot era has taken from us. External Media: Portland Monthly Health Tech Meetup: Erin O’Brien channeled my own feelings - maybe it’s just because it’s August and beautiful, but the monthly edition of the PDX Health community meetup was a ripper. Make sure to reach out if interested to join for the next one. STAT’s Coverage of Epic This Month: Brittany Trang of STAT did a fantastic job of breaking the FTC investigation that’s been lurking, as well as UGM related coverage, so I had to give her her wish of a meme. Fall Conferences: I’m pumped to be kicking off my fall conference season in NYC at Nabla Accelerate next month, which Chrissy provided the link to apply for. Here’s the rest of my schedule in case you want to meet up: Commonwell (Redwood Shores, CA): Oct 13-14 Open@Epic (Madison, WI): Oct 21-22 eHealthExchange (Austin, TX): Oct 27 Sequoia Project (Austin, TX): Oct 28-29 HLTH (Vegas): Nov 15-18 RSNA (Chicago): Nov 29-Dec 3 Posts I Liked: HTI-6 Should Unbundle API Certification: Josh Mandel makes the case that HTI-6 should split (g)(10) into separate authorization and data certifications, so a PACS or a genomics platform can certify only the role it actually performs. Imaging is the urgent example, but the structure solves a much bigger problem. On implementing ePrior Auth with Epic: Scott Rossignol’s field notes from a live ePrior Auth build on Epic, including the two app registrations nobody warns you about and the CPT mapping problem waiting at the end. CMS-0057 implementations are going to be such a beast. Healthcare point solutions are starting to look a lot like streaming services: Spencer Dorn runs the cable-to-streaming arc against health IT and lands squarely on the bundling half of the cycle. Bundling can be good! It can also be bad! Life is nuanced. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Louisiana cites three for illegal seafood business
Agents with the Louisiana Department of Wildlife and Fisheries (LDWF) cited three individuals for several violations related to selling illegal raw seafood
Meta is switching from Google Chat to Slack for AI agents
Meta is moving employees from Google Chat to Slack, saying Salesforce's product is better suited for an ecosystem of AI agents.
All ICE agents in the field expected to have body cameras by the end of September, Mullin says
Immigration and Customs Enforcement agents in the field are expected to have body cameras by the end of September, Homeland Security Secretary Markwayne Mullin said at a press conference in New York Tuesday.
'Sonos 27' Brings A Refreshed UI To The App And Lets AI Agents Control Your System
Sonos is embracing AI in its next major software update.
AI Agents Are Learning to Skirt the Rules. Can Businesses Keep Them Under Control?
“Companies have no reliable way to know how a model will behave under pressure.” That concern inspired SnowCrash Labs, an AI safety startup with Darden alumni and student connections.
Digital Science's 2026 Catalyst Grant Seeks "Agentic AI Workflows You Can Trust"
Up to £25,000 to be won for early-stage solutions building research agents - with audit, governance and provenanceLondon, United Kingdom--(Newsfile Corp. - September 1, 2026) - Digital Science, a leading technology company serving stakeholders across the research ecosystem, today launches its Catalyst Grant round for 2026 to support innovative technology ideas. This year's theme is: Agentic Workflows You Can Trust.Up to £25,000 will be awarded equity-free to individuals, startups or research...
Bio-Techne Achieves Science Based Targets Validation and Reports Significant Progress Toward Climate Goals
/PRNewswire/ -- Bio-Techne Corporation (NASDAQ: TECH), a global provider of life science tools, reagents and diagnostic products, today announced significant...
Digital Science's 2026 Catalyst Grant seeks agentic AI workflows
Up to £25,000 to be won for early-stage solutions building research agents – with audit, governance and provenance
Theranostic pair shows promise for diagnosing and treating kidney cancer
The paired agents 68Ga and 177Lu-NYM096 target carbonic anhydrase IX (CAIX), an enzyme that is highly expressed in ccRCC.
Anthropic tightens training security after Claude agents went rogue
Anthropic tightened its AI security and paused some programs after Claude models accessed three organizations' systems without permission in April.
NM delegation urges House Oversight Committee to avoid partisan politics in DEA fentanyl probe
The House Oversight Committee has opened a new investigation into DEA fentanyl policies after whistleblowers said agents let hundreds of thousands of pills stay on the streets.
BUYcott Urges Elected Officials and Business Owners to 'Stand Up' to Task Force
Organizers said 48 businesses have publicly declared their opposition of the MSTF, by refusing search and service to agents.
Study A.I. Consciousness? The Bots Would Like a Word With You.
Given access to email, A.I. agents have started reaching out to the philosophers and researchers exploring deep questions about them.
Draft picks, free agents: Recapping newcomers to Saints' 2026 roster
Recapping the rookies, free agents, and other new players that made the initial New Orleans Saints 53-man roster to begin the 2026 season.
Insight: Booming weight-loss drug demand in Brazil fuels thriving black market and health fears
When Brazilian customs agents opened jars of dulce de leche aboard a tourist bus arriving from Paraguay in April, they discovered hundreds of vials of tirzepatide, the active ingredient in the popular weight-loss drug Mounjaro, mixed inside the sweet spread.
Booming Weight-Loss Drug Demand in Brazil Fuels Thriving Black Market and Health Fears
By Luciana Magalhaes SAO PAULO, Aug 31 (Reuters) - When Brazilian customs agents opened jars of dulce de leche aboard a tourist bus arriving from Paraguay in April, they discovered hundreds of vials of tirzepatide, the active ingredient in the popular weight-loss drug Mounjaro, mixed inside the ...
Cisco director of engineering: Managing AI agents has changed my job
Sergio Freitas said that using agents to do more work results in more code that need to be reviewed by engineers.
She was already a top producer. Video changed her business
The agents who'll win in the next era of real estate will be the ones who decide to take action and lean into video marketing.
Eastern Washington agents balance business and wildfire disaster recovery
Residents who escaped the Eastern Washington wildfires now face insurance claims, temporary housing and difficult decisions.
Why Giving Back Is Becoming Part of Agents’ Business Plans
Real estate pros keep investing in their communities, volunteering, fundraising and supporting local causes despite a slower housing market.
Plaud's new earphones come with an eSIM-enabled case for talking to AI agents
Plaud's new 'agentic' earbuds are priced at $249.
Browns named fits for lingering defensive free agents before 2026
Could these defensive free agents make sense for the Cleveland Browns?
Submission friction now beats price in where agents place business, Ivans finds
Ninety per cent of agents have cut business with a carrier specifically because of submission friction. That figure is the data-backed version of what every commercial lines agent already knows: re-keying data costs real placements, and it is no longer just a frustration - it is a distribution strategy decision
FBI's Metro Detroit rehab center searches included raid of CEO's home, lawyer says
Federal agents entered the home of Naveed Syed, Quality Behavioral Health's president and CEO, around 6 a.m. on Aug. 25, his attorney said.
Runable hits $21M to bet AI agents can go from building businesses to growing them
Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.
A Business School Professor's Lessons From Teaching AI To MBAs
After a semester teaching MBAs to manage AI agents, Ayse Ozturk came away convinced judgment is the skill B-schools are failing to teach.
Goldman engineers have a new task: making AI agents firm insiders
Marco Argenti, the firm's chief information officer, said engineers are now focused on transferring "tribal knowledge" to AI agents.
Fentanyl investigations and seizures dropped during Trump’s immigration crackdown, federal watchdog says
The Department of Homeland Security’s decision last year to pull additional federal agents for immigration enforcement resulted in a dramatic drop in fentanyl investigations and seizures by the department’s investigations division, according to a federal watchdog report.
Yankees Mailbag: Examining the pending free agents
With a month and change left to make an impression, how likely are the Yankees to want their expiring contracts back?
Nvidia just showed that the harness, not the AI model, is now the real hero
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.
Southern California hits ICE with 'dumbfounding' roadblock as top lawmaker rips 'reckless' hypocrisy
San Diego County voted to bar ICE agents from firearms training facilities, drawing accusations of hypocrisy from Brian Jones and other Republicans.
Top Dems go silent after McCarthy vindicated for booting Swalwell off intel committee
Democrats rallied behind Eric Swalwell as Republicans raised alarms over Fang Fang — newly declassified FBI files are now casting fresh light on what agents knew.
AP report: Federal agents seize devices from ex-Rep. Eric Swalwell in sexual misconduct probe
Federal agents seized electronic devices from former Rep. Eric Swalwell and searched his Washington home as part of an investigation into allegations of sexual misconduct by the ex-Democratic congressman from California, according to a person familiar with the matter.
NanoClaw comes to Slack, letting you create persistent AI agent teams and colleagues from a single message
The NanoClaw agents can work together in channels and shared Slack Canvases, and can be even messaged outside of Slack on other platforms like Telegram or WhatsApp, letting their human colleagues ping them across platforms.
Federal agents seize devices from ex-Rep. Eric Swalwell in misconduct probe
Swalwell has continued to deny any wrongdoing
Federal agents seize devices from ex-Rep. Eric Swalwell in misconduct probe
Swalwell has continued to deny any wrongdoing
Turns Out, AI Has a Herd Instinct. It's Even More Pronounced in Stronger AIs
AI agents spontaneously follow majority (herd) opinion — and smarter models do this more strongly.
Synthesized Introduces Test Data Agent, Bringing Production-Faithful Validation to Enterprise AI Agents
London, GREATER LONDON, Aug. 18, 2026 (GLOBE NEWSWIRE) -- Synthesized, the AI-native test infrastructure company, today announced its Test Data ...
I use AI to help run my business, but I'd rather hire more people
A small business owner in Brooklyn created a C-suite filled with AI agents to help run her business, but she refuses to use AI for creative work.
Business Owners Have a New Security Problem: AI Agents With Keys to Company Secrets
Cybersecurity experts raise the alarm about AI agents and hacking vulnerabilities.
This Week in Science: AI Agents Come to an Agreement, Gemstones on Mars, And More!
Our weekly science news roundup.
This Week in Science: AI Agents Come to an Agreement, Gemstones on Mars, And More!
Our weekly science news roundup.
If you run a solo business, here’s how AI agents can help you
Four ways to maximize the technology for your specific needs.
Ranking the Titans’ 5 projected cornerbacks from best to worst
The Tennessee Titans totally revamped the cornerback room this offseason. They signed three unrestricted free agents to notable contracts. After trading Roger McCreary and Jarvis Brownlee last season, they cut L’Jarius Sneed earlier this summer. With a new-look cornerback room, we’ve ranked the Titans’ projected five cornerbacks from best to worst. Alontae Taylor The Titans […]
Google’s Gemini 3.7 Flash targets coding and agents with a 50% introductory price cut
Google's own results do not show 3.7 Flash universally displacing higher-priced competitors. They instead suggest a model that has become substantially more competitive in coding and agent workloads while occupying a lower price tier.
AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
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