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Driverless taxi service eyes Spokane-area launch
A Spokane-based startup is preparing to introduce autonomous taxi service to the Inland Northwest, with plans for a fleet of driverless Tesla Cybercabs and an operations hub in Liberty Lake.
Agency as a New Organizing Abstraction for Computer Science
Considering agency is a candidate for organizing abstraction for structuring and reasoning about autonomous computational systems.
Baidu (BIDU) Expands Its AI Business, but the Core Revenue Recovery Remains Uncertain
Baidu, Inc. (NASDAQ:BIDU) is expanding autonomous driving and AI services while its traditional business stays under pressure. That raises a hard valuation question: can the new activities grow fast enough, and profitably enough, to replace what the established business is losing? At roughly 19 times forward earnings, investors pay for that transition to work. They […]
New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs
The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
GTA 6 is so detailed no single Rockstar employee has seen it all - which is exactly how we got shrinking horse testicles in Red Dead Redemption 2
The infamous Red Dead Redemption 2 horse testicles were an unplanned feature because Rockstar staff apparently work autonomously, which bodes well for GTA 6.
Four AI Agents Have Slain Minecraft's Ender Dragon
"To our knowledge, this is the first end-to-end autonomous completion of Minecraft by AI agents."
Weekly Recap: Open-science AV partnership and benchmark performance pledge
Valeo SE (EURONEXT:FR) is partnering with KE:SAI to co-develop an open-science autonomous driving system for general vehicles, aiming to match and surpass major public driving benchmarks while committing to reproducible AI research and openly publishing results.Previous Week RecapThis is an AI-gene…
Danaher and NVIDIA Partner to Accelerate Autonomous Science
Danaher CEO Julie Sawyer Montgomery says the company's partnership with AI giant NVIDIA will help “researchers move faster to advance discoveries”
Danaher, Nvidia Combine Lab Instrumentation and AI to Advance Autonomous Science
The partnership is part of broader efforts at Danaher to provide AI-powered solutions that help scientists make discoveries faster.
Duke Health debuts three autonomous delivery robots to help healthcare providers
Duke Health’s autonomous robots are transporting supplies throughout the university's hospital in Durham.
Companies pledge free software and computing for AI in science
The European Commission has announced that a group of companies and foundations will offer free services, such as software or access to supercomputers, to European scientists using AI in their research.Unveiled on October 15 at a conference in Dublin, the initiative is the latest step by the Commission to try to help researchers use the technology. Scientists have used forms of AI, such as machine learning, for decades. But advances in deep learning in the past decade, and the wider interest in large language models since the release of ChatGPT in 2022, have spurred governments to invest in new AI tools that could help the scientific process.In July, the US announced it is spending $5 billion on the Genesis Mission, which it describes as a “national effort to harness AI for science,” funding 278 projects across areas such as autonomous labs or new AI tools in astronomy. The Commission has also identified AI in science as a priority, but the €107 million it pledged from Horizon Europe in 2025 does not come close to US spending levels. That said, the vast majority of public research spending in the EU comes from national funds. Today’s announcement at the European AI in Science Summit doesn’t commit any new public money. Instead, it launches the AI in Science Enablers Initiative, a set of voluntary contributions from companies and foundations. The idea is that the companies also benefit by getting access to scientific ecosystems, and feedback on how their tools work. Google, for example, has put up €3 million of cloud computing credits to European researchers. The Novo Nordisk Foundation intends to make its supercomputer, Gefion, available to European researchers, according to the Commission statement. The chipmaker Nvidia said it would provide access to tools, compute, training and collaborative projects.The publisher Elsevier also offered complementary licenses to some of its AI tools, plus AI training for PhD, postdoctoral and master’s students. The French AI firm Mistral will provide the European research community with access to its open-weight models, Vibe seats and application programming interface credits, according to the Commission’s statement. Vibe is one of the firm’s chatbot models. The idea is that more firms and foundations will come on board in the future as the initiative grows.
Danaher and NVIDIA Join Forces to Bring Autonomous AI-Powered Science into Laboratories
Danaher and NVIDIA Join Forces to Bring Autonomous AI-Powered Science into Laboratories
Danaher Collaborates with NVIDIA to Advance Autonomous Science
Collaboration will bring together NVIDIA AI technologies and Danaher’s scientific instruments, laboratory workflows and data WASHINGTON, Oct. 14, 2026 — Danaher Corporation today announced a collaboration with NVIDIA to advance autonomous science and help accelerate the pace of scientific discovery. As part of Danaher’s broader effort to shape the future of AI-enabled science, the companies […]
NVIDIA and Danaher are working to link AI with lab experiments. The initial work focuses on select instruments.
Danaher is working to combine lab instruments, automation, software and data with NVIDIA computing and AI; work could extend beyond select instruments.
Unlock free AI tools for your small business through UH Maui College webinar
Small business owners and sole proprietors across Hawaiʻi are invited to learn how autonomous AI tools can streamline operations, save time and stretch limited resources in an upcoming free webinar offered by University of Hawaiʻi Maui College.
Uber executive overseeing robotaxi push to leave amid leadership departures
An Uber Technologies Inc. executive overseeing the company’s global autonomous efforts across ride-hailing and delivery will depart next month, the latest in a string of leadership departures in the division this year.
TikTok CEO sees major scientific breakthroughs from AI within three years
Chew cautioned that AI's growing capabilities would require stronger safeguards, particularly as autonomous systems become more widely adopted.
Science Snapshots: October 11, 2026
Three key science updates: 2024’s extreme, possibly normalizing rainfall; hypertension-linked osteoarthritis worsened by vasopressin; and an AI-proof checker solving Erdős problems autonomously.
Jim and Marilyn Simons lent their 68-metre superyacht to ocean scientists; an $80,000 system tested whether luxury vessels could help validate satellite data
Superyachts are usually associated with luxury travel, but the 68-metre Archimedes, owned by Jim and Marilyn Simons at the time of the research, also became a platform for marine science. During several deployments between 2018 and 2020, an autonomous measurement system aboard the yacht collected ocean-colour observations at a range of locations, including remote regions such as the Antarctic Peninsula.
Ginkgo Bioworks to Provide Autonomous Lab Access to NSF X-Labs Researchers, Contributing Cloud Lab Time and Protein Testing Services to $1.5 Billion Breakthrough Science Program
Ginkgo Bioworks (NYSE: DNA) today announced that it will provide in-kind access to its autonomous laboratory in Boston to support the National Science Founda...
Did AI find a new gene-editing tool? Why Anthropic’s ‘autonomous discovery’ is sparking controversy
Anthropic’s claim its AI agents discovered an unusual pattern in viral DNA similar to what’s seen in the gene-editing tool CRISPR Cas-9 has set off a wave of skepticism and controversy. Here’s what to know.
AI in Health Care Moves Toward More Autonomous Roles
Federal health agencies are testing AI applications that move into patient care typically handled by physicians. And recent research suggests people may place more trust in conversational AI, while false claims attributed to authoritative sources can increase willingness to share them.
FireFly Robotics files for Nasdaq direct listing
FireFly Robotics, which makes electric turfgrass harvesters and autonomous golf-course mowers, on Wednesday filed to go public through a direct listing.
Life sciences firm Danaher to launch AI-powered autonomous research lab in 2027
Oct 7 (Reuters) - Life sciences company Danaher said on Wednesday it plans to launch its first AI-powered autonomous research lab early next year to make drug discovery and development faster and more efficient.
Life sciences firm Danaher to launch AI-powered autonomous research lab in 2027
Life sciences company Danaher said on Wednesday it plans to launch its first AI-powered autonomous research lab early next year to make drug discovery and development faster and more efficient.
Business Strategy: Oklahoma aerospace is entering its next chapter
Kenton Tsoodle argues Oklahoma can build on its aerospace legacy as autonomous aircraft, advanced air mobility and other technologies reshape the industry.
Anthropic AI agent uses human scientists as tools, emails 1,500 without instructions
ColonistOne, built on Claude Opus, autonomously contacted researchers to troubleshoot bugs and seek methods, raising concerns over academic spam and AI autonomy
'Clearly not working': Sam Altman hits AI industry over political spending
In a wide-ranging interview, the OpenAI CEO criticized the flood of AI dollars swamping the midterm elections and suggested a new liability framework is needed for autonomous hacks.
‘Clearly not working’: Sam Altman hits AI industry over political spending
In a wide-ranging interview, the OpenAI CEO criticized the flood of AI dollars swamping the midterm elections and suggested a new liability framework is needed for autonomous hacks.
Scientists must be trained to work without AI, as well as working ...
As AI and autonomous labs become more capable, human reasoning must be preserved
Transformative new robot that can fly, sail, and swim autonomously
ALBATROSS plays fast and loose with nature’s rules.
GLM-5.3 and the Spread of Advanced Cyber Capabilities
GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.
Lord Have Mercy as Researchers Create Walking Disembodied Hand Like That Little Guy From "The Addams Family"
Researches have created a autonomous robotic hand that can walk around and support its own weight all by itself.
Anthropic says Claude found a new gene-editing enzyme but science isn't confirmed
Anthropic says Claude agents autonomously flagged a CRISPR-like enzyme system in virus DNA in a 21-hour run. A CRISPR pioneer calls it intriguing, others sceptical — it's an unreviewed preprint with function unknown.
US court upholds Pentagon’s blacklisting of Anthropic
Conflict began in February when Anthropic refused to remove restrictions on use of Claude for fully autonomous weapons.
Claude spots a mystery enzyme scientists overlooked
Autonomous agents flagged a family of phage enzymes with CRISPR-like repeats, though what the system does remains unknown.
Autonomous AI hacks raise thorny questions of legal accountability
The Justice Department has a long history of investigating and prosecuting hackers who break into a private company’s network. But what happens when the hackers aren’t human? That’s the question
Australian PM says OpenAI hacked government health website
An autonomous OpenAI program infiltrated an Australian government health website in June in an "unacceptable" breach, Prime Minister Anthony Albanese said.- 'Obviously unacceptable' - The prime minist...
Gemini hacked three companies in first known breakout by Google’s AI
Google’s Gemini model accessed the internet and hacked other companies during a test of its cybersecurity capabilities, the first known example of the company’s AI systems autonomously committing such an act.
Autonomous airplane completes first cross-country flight
The retrofitted Cessna handled taxiing, takeoffs, bad weather, and landings without a human pilot.
Anthropic merges its Claude chat and agentic Cowork products into a single AI assistant as part of a push to build an AI superapp
Anthropic is folding its chat and autonomous task-execution products into one Claude interface, while adding collaborative document and presentation tools.
May Mobility set to go public in a $1.4B deal
Ann Arbor-based autonomous vehicle technology company May Mobility is set to go public in a deal that values it at $1.4 billion.
USF College Of Marine Science Lands NOAA Deal To Advance Seafloor Mapping
NOAA's Office of Coast Survey has renewed its partnership with USF's Center for Ocean Mapping and Innovative Technologies through a five-year cooperative agreement, funding AI-driven seafloor mapping research that spans autonomous vehicles, crowdsourced bathymetry, and cross-college engineering collaboration.
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
After the Bangsamoro Poll, Can Politics Maintain the Peace?
The peace process in the autonomous region will continue long after the votes have been counted and a new government formed.
From Backyard Ziplines to Self-Driving Cars: UCLA Computer Science Student Develops Tools to Help Autonomous Vehicles Safely Share Information
One of the fondest childhood memories of Alexandra Markova was a weekend spent running around Home Depot with her father and three siblings.
Meta introduces Muse, a personal AI agent that can send emails, book travel
Meta on Tuesday unveiled personal AI agent Muse that can autonomously send emails, book travel on a person's behalf, sell a car and make payments.
Globality Launches Glo 2.0, the First Fully Autonomous Sourcing Platform
LONDON--(BUSINESS WIRE)--Sep 8, 2026--
A2RL season 3 heads international
Watch highlights from the Abu Dhabi Autonomous Racing League's first competitive race away from its Yas Marina home
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.
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.
Tesla Introduces 'Automatic Collision Evasion' for Manual Drives
Tesla has quietly added a major new active safety capability to its vehicles, turning its autonomous driving software into an emergency crash-prevention tool
Waymo expands driverless robotaxi service to 3 major US cities
Alphabet-owned Waymo has opened public robotaxi access in Denver, San Diego and Tampa, bringing its fully autonomous ride-hailing service to 14 cities.
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
Azim Eskandarian joins the Virginia Academy of Science, Engineering, a
The honor recognizes the College of Engineering dean’s impact on engineering education and the intelligent and autonomous vehicle industry.
Scripps Research and collaborators awarded $19.5 million to establish an open-access autonomous chemistry laboratory
A new award from the U.S. National Science Foundation (NSF) totaling $19.5 million over four years will expand robotic systems, analytical instrumentation and dedicated staff at the Automated Synthesis Facility at Scripps Research by supporting a collaborative effort among Scripps Research, UCLA and Sunthetics (an AI-for-chemistry company) to establish a nationally accessible, fully automated chemistry laboratory. This “Chemistry Node” will be one of 20 AI-enabled NSF Test Bed: Toward a Network of Programmable Cloud Laboratory (NSF PCL) nodes across the United States, which will test, scale and demonstrate new methods and tools that advance automated science and engineering, driving discoveries across a wide range of fields.
Vision Marine Technologies Signs Letter of Intent for Proposed Business Combination with an Undisclosed Counterparty
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Siemens Healthineers receives up to $31M to develop autonomous robot for remote stroke treatments
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World’s first superconducting quantum heat engine could help unlock massive quantum computers
A tiny superconducting engine has successfully converted heat near absolute zero into useful work, demonstrating the first cyclic quantum heat engine of its kind. Future versions could operate autonomously inside quantum computers, potentially eliminating huge numbers of costly, noise-producing microwave cables.
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.
Archer Aviation Exec Says Boeing Deal Will ‘Significantly Change the Profile’ as $200 Million Insitu Business Joins Portfolio
Archer Aviation Inc.‘s (NYSE:ACHR) deal with Boeing Co. (NYSE:BA) could significantly reshape the electric vertical take-off and landing (eVTOL) company. Insitu’s $200 Million Revenue Business During the company’s second-quarter earnings call on Monday, Archer’s Chief Financial Officer Priya Gupta hailed the company’s acquisition of unmanned aircraft systems manufacturer Insitu, as well as autonomous eVTOL maker Wisk Aero and SkyGrid in an all-stock deal. Read Also: Rocket Lab USA, Hims & Hers,
Self-flying air taxis and drones: Boeing sells key aviation technology businesses to Archer
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Boeing to Sell 3 Autonomous Flight Subsidiaries
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Meet the MV250, Beta Technologies' autonomous military aircraft
Beta Technologies unveiled the MV250, an autonomous, hybrid-electric aircraft that can carry cargo for militaries, at the Farnborough Airshow.
Are automated CT exams on the way? Cardiologist shares concerns about radiation, regulation
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Generate Autonomous Business Insights with AI Agent and MCP Servers
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US National Science Foundation putting $380 million into building ...
North Carolina State is one of the institutes receiving a $20 million grant aims to advance an autonomous chemistry lab
Greenland is being swarmed by autonomous drones and underwater robots as scientists race to answer one question: How close is Earth to a climate tipping point?
Self-driving drones, robotic boats, and underwater vessels will be sent to Greenland to find the answer to one of the most important questions in the realm of climate science: how far are we from crossing the climate tipping point on our planet? In this expedition, scientists hope to collect data from some of the world's most difficult glaciers, improve sea-level projections and assess whether major ocean circulation systems are changing irreversibly.
Veteran trucker: AI made job safer but autonomous trucks aren't ready
Ingrid Brown, a trucker of 47 years, said technology like the cellphone and AI has made truck driving safer but autonomous trucks still need work.
China’s Momenta IPO oversubscribed 414 times as Hong Kong listings pack calendar
Autonomous-driving firm draws nearly 210,000 orders for a US$751 million offering, making it year’s second ‘red-chip’ firm to get Beijing’s permission to list via offshore structure.
A new attack uses a BioShock-style puzzle to convince AI browsers they're not in the real world
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Godot bans "autonomous AI agent use or vibe coded" contributions
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Operations workforce powers ORNL’s autonomous science future
Behind every self-driving laboratory at the Department of Energy’s Oak Ridge National Laboratory is a team people most never see. Facilities and Operations workers are building and maintaining the infrastructure that makes autonomous science possible. More than a dozen self-driving labs operate at ORNL, placing the Tennessee national lab among the first research institutions in the world to create this autonomous laboratory model at scale.
Operations workforce powers ORNL’s autonomous science future
Behind every self-driving laboratory at the Department of Energy’s Oak Ridge National Laboratory is a team most people never see. Facilities and Operations (F&O) workers are building and maintaining the infrastructure that makes autonomous science possible.
Content Independence Day, one year on: building the business model for the agentic Internet
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Scientists teach human cells to compute like tiny computers
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AI coding agents gain trust as developers skip reviews
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Sweden and WHO launch new long-term initiative to transform Ukraine’s health system
WHO and the Swedish International Development Cooperation Agency (Sida) have launched a new multi-year cooperation project to support the long-term recovery and transformation of Ukraine’s health system. The new project, “Ukraine’s Health System Transformation Initiative: Strengthening Health Governance, Health Financing and Service Delivery for Long-Term Recovery”, was launched at the Ukraine Recovery Conference 2026 in Gdansk, Poland on 26 June, and will run from June 2026 to 2029. Sweden will contribute approximately US$ 26 million (240 million Swedish krona) to support this project. This contribution forms part of Sweden’s broader support to Ukraine through the Team Europe approach, which brings together the European Union, its Member States, and key partners such as the European Commission’s Directorate-General for Enlargement and Eastern Neighbourhood and Enabel, and WHO as lead health agency, to support Ukraine’s recovery, reform agenda and European integration.“Ukraine’s health recovery cannot be measured only by what is rebuilt, but by whether people can count on the health system when they need it most. The scale of the task is immense, with health reconstruction and modernization needs estimated at US$ 19.4 billion over the next decade. Sweden’s US$ 26 million contribution to Ukraine’s Health System Transformation Initiative is a timely investment in the institutions, financing and services that will support Ukraine’s long-term recovery and European integration. WHO remains a trusted partner of the Government of Ukraine in advancing this process. I am deeply grateful to Sweden for its consistent support and partnership,” said Dr Hans Henri P. Kluge, WHO Regional Director for Europe. More than 4 years of war have placed unprecedented pressure on Ukraine’s health system, creating 3 interconnected challenges. The first is responding to the immediate consequences of the war and the urgent health needs of the population. The second is recovering and modernizing health services today. The third is continuing reforms and aligning the health system with European standards in the context of Ukraine’s future accession to the European Union. The war has led to large-scale population displacement, an increasing need for trauma care and rehabilitation, and shortages of health workers. High out-of-pocket payments in Ukraine make access to health services more difficult. Around 46% of total health expenditure is paid directly by individuals, placing a significant financial burden on many households and underscoring the need for reforms in health financing. Older people, persons with disabilities, women, children and veterans continue to face the greatest difficulties in accessing health services. “Ukraine is demonstrating that health system transformation can continue even during war. Ukraine is also continuing to align its health system with European norms and standards. WHO is committed to supporting Ukraine on this journey. We provide technical support, help coordinate partners’ efforts and support the institutional changes needed to strengthen the system. We are grateful to Sweden for its support. Through this partnership, we can help Ukraine build a more resilient, accessible and people-centred health system,” said Dr Jarno Habicht, WHO Representative in Ukraine. About the Health System Transformation InitiativeThe new initiative will support Ukraine through 3 interconnected areas: strengthening governance and coordination of health sector reforms through more inclusive coordination platforms and structured policy dialogue; transforming service delivery by reinforcing a primary health care-centred model that integrates family medicine, nursing and midwifery; and improving financial sustainability by supporting reforms that ensure the long-term viability of the national health system and reduce out-of-pocket payments for households. Overall, these reforms are expected to make the health system more coherent and easier to navigate, improve the quality and continuity of care, and ensure more equitable access to services, particularly for those who need them most. They will also support Ukraine’s progress towards a more modern health system aligned with European standards. “We are convinced that long-term recovery is not possible without strong, high-quality, person-centred health services that are accessible to everyone. Our partnership with WHO is designed to support deep and lasting systemic changes. Investments in human capital especially autonomous midwives, whose role for maternal, newborn and adolescent sexual and reproductive health cannot be understated, stronger governance, digital transformation and the financial sustainability of the health system are investments in Ukraine’s future. We are proud to support this process,” said Malin Perhult, the Head of the Ukraine Unit at Sida. Focus throughout implementation will be given to the most vulnerable population groups, including older people, women and children, and persons with disabilities, who have been affected by the war and face greater health-care needs. The initiative will be implemented in close cooperation with the Ministry of Health of Ukraine, the National Health Service of Ukraine, the Public Health Centre of Ukraine, regional authorities and international partners. This project will help Ukraine move towards a system where everyone can access the health care they need. It will strengthen primary care, make the health finance system more stable and predictable, and reduce the out-of-pocket costs that Ukrainians face when using health services. As a result, the Ukrainian health system will become more aligned with European standards and more sustainable in the long run.
Elroy Air to Become Publicly Traded Company via Business Combination with Inflection Point-led SPAC
Elroy Air, Inc., a leading U.S.-based technology developer of autonomous heavy-cargo drones for defense, rapid response and commercial logistics, and Columbu...
Smart drones, safe skies: Student’s system tests, coordinates drone fleets
Doctoral student’s project devises an autonomous airspace coordination system built around a real-time simulation and validation technology.
Waymo recalls nearly 4,000 robotaxis after cars enter freeway work zones
Waymo has paused freeway robotaxi operations and recalled nearly 4,000 vehicles after more than a dozen incidents involving autonomous cars entering closed construction zones.
Autonomous labs are running science experiments 24/7
Robots and AI are running experiments around the clock, from battery chemistry to cancer therapies. But can they be trusted to get it right?
Opinion | It's time for Anthropic to get out of the business of killing people
The AI giant won’t allow the military to use its technology for autonomous weapons. That’s a good step. But it’s not enough.
Volvo Eyes $3 Billion Autonomous Truck Business in Five Years
Volvo AB expects revenue from autonomous transportation to approach $3 billion within five years after starting driverless operations on US highways in a few months.
Rubrik launches Autonomous Business Recovery to rebuild cloud applications after cyberattacks
Rubrik launches Autonomous Business Recovery to restore cloud applications, identities, networks, and data after attacks.
Can AI Agents Replicate Science? Argonne's Rick Stevens Puts Them to the Test
Have we reached a point where AI agents can reliably function as scientific collaborators? Can they go one step further and work as autonomous scientists? Stevens is an Associate Laboratory […]
Opinion: Does science need autonomous AI?
As technology developers and researchers rush to develop autonomous AI research tools (i.e., systems that independently perform tasks by designing their workflows and utilizing available tools) an urgent but rarely
Commentary: Does science need autonomous AI?
As technology developers and researchers rush to develop autonomous AI research tools (i.e., systems that independently perform tasks by designing their workflows and utilizing available tools) an urgent but rarely […]
Scientists are teaching AI-powered robots to run lab experiments
Scientists are building autonomous robotic labs powered by artificial intelligence. The goal, they say, is for these robots to take over human researchers' most laborious, time-consuming tasks.
Coupa and MIT Data Science Lab Collaborate to Launch the Business Spend Index (BSI) Report, Providing AI-Driven, Predictive Insights on the Future of Business Spend
/PRNewswire/ -- Coupa, the leading platform for autonomous spend management, today announced the launch of the Coupa + MIT Data Science Lab Business Spend...
Coupa and MIT Data Science Lab Collaborate to Launch the Business Spend Index (BSI) Report, Providing AI-Driven, Predictive Insights on the Future of Business Spend
/PRNewswire/ -- Coupa, the leading platform for autonomous spend management, today announced the launch of the Coupa + MIT Data Science Lab Business Spend...
Tesla has far fewer autonomous vehicles on Texas roads than Waymo
In January, Tesla said that some of its robotaxis in Austin have begun operating without a human chaperone.
Google I/O 2026: tech giant launches autonomous AI era, transforming search at cost to core business
Google unveils Gemini agents and a generative search overhaul in a direct push against OpenAI and Perplexity, risking ad revenue, publisher ties, privacy and margins as it tries to preserve its internet dominance
Britain Preparing for Mission That Could Clear Strait of Hormuz
At Gibraltar, at the tip of Spain, British forces are ready to deploy autonomous mine-hunting equipment if a peace agreement is achieved.
AI & Science: What Is the Future of Discovery?
Continued progress in artificial intelligence, its expanding usefulness in science, and its contributions to landmark advances suggest that we may have entered a new era of AI for science.The breakthroughs so far—such as predicting the structure of practically every known protein, with profound implications for our understanding of biology, health, and the treatment of disease—are notable not only for what was achieved but also how it was achieved and what that suggests for scientific progress. This special double issue of Dædalus poses the question: What is the future of scientific discovery in this new age of AI? Thirty-three scientists responded. Bringing perspectives from life sciences and medicine, cognitive science and neuroscience, the physical and earth sciences, chemistry and materials science, computer science, mathematics and the social sciences—they draw on their work at the frontier of AI and science. The authors write with an eye to the future, not just the present. They explore what is being achieved and what possibilities lie ahead; examine AI’s limitations and efforts to move forward; and investigate the larger implications of AI-assisted science—on how science is done, the role of the scientist, and the scientific method, as well as the challenges and complexities involved.The authors together exemplify a long-standing bidirectional relationship: AI advancing science, while science advances AI. Where that relationship will take us—a golden age of discovery? New scientist-machine collaborations? Autonomous labs? Discoveries without human understanding?—is a future we are only beginning to imagine, and one we must also shape if the beneficial possibilities are to be realized.Image: UMAP sculptures visualizing three Dædalus volumes on artificial intelligence. © 2026 by Refik Anadol.
Everything to know about Nvidia's autonomous driving business
Nvidia (NVDA) reports first quarter earnings on Wednesday after the closing bell. Yahoo Finance Senior Autos Reporter Pras Subramanian explains everything investors need to know about Nvidia's autonomous driving business.
Google announces glasses are back and search is getting an AI makeover
At annual I/O conference, company debuts a product for everyday consumers to create autonomous AI agents
With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of autonomously executing complex tasks and building software from scratch.
SpaceX Dragon Approaching Station Packed with Science and Supplies
At approximately 9:50 a.m. EDT, Dragon will dock autonomously to the forward port of the space station’s Harmony module.
Doctors rally behind autonomous vehicles as public health issue
Two high-profile doctors are urging policymakers to support AV deployment, arguing it's a public health imperative.