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Elementary students learn about coding ahead of Mississippi Science Fest
A special coding challenge for elementary school students was held at a local museum ahead of a big weekend of science and technology.
Microsoft engineer says 'typing code is absolutely over' as GitHub Copilot takes on more development work
Fowler was not suggesting that software engineers are becoming unnecessary. But as AI handles more routine coding work, developers may spend less time writing individual lines and...
Google Play adding ‘personal library’ to access your vibe-coded Android apps
Google today announced a slew of Play Store updates across vibe-coding, game discovery, social features, and more.
OpenAI's new $230 mini keyboard is for Codex power users
OpenAI launched Codex Micro, a shortcut keyboard for users of its AI coding product. It was engineered by Work Louder and priced at $230.
Vibe coding is turning the music gear world upside down
LLMs have led to an explosion of custom firmware and hacks for synths, samplers, and grooveboxes.
As the coding boom fades, computer science grads focus on AI skills in choppy job market
CS grad Jack Zemke sent hundreds of applications into the void, then landed an “AI evangelist” role after demoing a project. As AI reshapes entry-level hiring, schools pivot to AI tool training and new internships.
Cursor now has a mobile app for guiding your coding agent on the go
Cursor has launched a new mobile app for remote oversight over coding agents.
Ubisoft plans cuts at German studios, adding to wave of workforce reductions
Ubisoft is planning to reduce its workforce in Germany, where it operates a trio of studios, by about 100 workers, Game File has learned. The company wants to offer employees buyouts to, should enough people accept, avoid having to lay anyone off. “In Germany, we initiated discussions with the Works Council last week regarding a proposed voluntary departure plan across Ubisoft Dusseldorf, Ubisoft Berlin & Ubisoft Mainz,” a company rep told Game File. A “works council” is a union-like group representing employees. “The voluntary plan is the primary measure being proposed to support the intended organizational changes,” the Ubisoft rep added. The company declined to confirm the scale of the potential headcount cut. Of the impacted studios, Mainz might be the best known to the public. It leads development of the Anno series and shipped the well-reviewed strategy game Anno 117: Pax Romana in November 2025. Berlin and Dusseldorf operate as support studios within Ubisoft’s creative network. Berlin recently supported the development of Rainbow Six Siege and the Rayman Legends Retold remake. Dusseldorf also contributed to those projects, as well as The Settlers and Ubisoft-branded escape rooms. Dusseldorf is the biggest of the three studios, with some 400+ workers, compared to just over 100 at the other two, a source familiar with the reductions and the teams told Game File. More than half of these new reductions of about 100 people are expected to happen at Dusseldorf. The planned cuts were announced at a town hall for the German studios on Tuesday of last week. In an email follow-up, the studio group’s managing director, Benedikt Grindel, said the cuts were intended to “best position our German studios for the future... with a clearer focus on their role, capabilities and organizational setup needed for the work ahead.” The email was an echo of the past. In January 2025, Grindel had emailed the Ubisoft developers in his region (or studio “zone”) to explain that a round of 185 cuts at the time, including about 65 at Dusseldorf, were “essential to improve our operational efficiency and ensure the long-term sustainability of our studios, the zone and the company.” A half-decade of continued job cuts Ubisoft has been aggressively cutting its headcount for years. At the end of September 2022, it had 20,729 workers. By the end of March 2026, that total was down to 16,590. Studio management is trying to trim costs as it grapples with a changing industry and a drought of releases, let alone hits. The company announced earlier this year that it had reduced its costs since 2022 by “nearly €325 million” ($362m) and planned to lower them through 2028 by another €180 million ($200m). In June the company said it was closing down its Winnipeg and Belgrade studios and cutting roles in its Barcelona team. Even commercial and creative success hasn’t spared studios from this ongoing company-wide contraction. As Game File was nailing down details around the proposed cuts in Germany, Ubisoft management was informing workers of cuts in its Singapore studio, which shipped a hit remake of Assassin’s Creed IV: Black Flag this past July. Some 70 positions in Singapore are being eliminated “to align the studio with upcoming production needs,” per a company rep’s statement to Game File. In early 2024, a large team in the Singapore studio launched the multiplayer pirate game Skull & Bones. It performed poorly but has been supported with regular content updates since. Many of Ubisoft’s studios around the world are heavily subsidized via regional grants and tax breaks. Singapore had been among them for years, but received no such local assistance in the 12 months ending this past March. News of the Singapore cuts broke today alongside word that Ubisoft is also proposing the closure of RedLynx, pending negotiations with officials. The Finnish studio behind the motorbike series Trials was founded in 2000 and sold to Ubisoft in 2011. As reported by VGC (and corroborated by Game File), Ubisoft management told employees it could not come up with a new, sustainable assignment for RedLynx. The 2025 workforce at Ubisoft Dusseldorf were straight-up cuts. This time, Ubisoft is hoping the reductions at its trio of German studios will largely come from workers taking a payout to leave. The company offered such voluntary dismissals at its Massive Entertainment studio (The Division) a year ago. For the German studios’ buyouts this time around, Ubisoft and the Works Council had discussed a formula that’d pay a worker’s monthly salary multiplied by 1.5 and by the number of years they’ve worked at the company, according to Game File sources. The formula is still subject to negotiations with the Works Council and has not yet been part of an official offer to workers. It could be adjusted up or down, and it could be supplemented with additional bonuses. Asked about the floated payout formula, a Ubisoft rep told Game File, “The terms of a potential voluntary departure program remain subject to negotiation with employee representatives. No final agreement has been reached, and we won’t comment on specific proposals while discussions are ongoing.” Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Epic’s AI adventures Epic Games (Fortnite, the Unreal engine) is all-in on using AI to try to transform the way it makes video games and game-making tools. It’s leaders appear to be undeterred by any resistance among gamers and some game developers around generative AI—and instead emboldened by advances, particularly in AI-assisted programming. A recap of the last three days: On Monday, Bloomberg reported that Epic management told workers last week that development of an upcoming game combining Star Wars and Marvel characters would be “AI first.” Employees would be expected to use AI models such as Claude to code the game. A manager told Epic’s developers there would be “[n]o more hand-written code” and that art for the game would be “generated with full AI workflows,” per the outlet. Just ahead of that story running, Epic founder Tim Sweeney tweeted: “We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration. The aim isn’t to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.” In a follow-up, Sweeney predicted that most game development processes would be at least three times faster a year from now than they were in January 2026, thanks to AI. To a person on X who told him he was failing to read the room, Sweeney said: “Much of the room wants it to be 2016 again, but it’s not. Our job, as the provider of tools and technology to much of the industry, is to design for the present that is and the future that will soon be.” On Wednesday, Epic announced it was releasing a faster launcher for its Epic Games Store marketplace. It did so by stating in a blog post as clear as could be that the launcher is an AI-enabled, vibe-coded project: Programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher that’s way faster and more responsive than the current one, and has a new look. Programming is hard? That was unexpected phrasing from a company founded by a legendarily great programmer. Back in 2011, Sweeney told me that he’d picked up programming quickly as a kid and rejoiced at the power it gave him. “I could look at any program that anybody else had written and, with enough effort, build something cooler.” Item 3: The Xbox Labs experiment (and one of the people behind it) Microsoft’s Xbox division, which is flooding the zone with announcements lately, yesterday revealed a new internal tech-tinkering team called Xbox Labs. In the words of Xbox boss Asha Sharma Labs is “a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience.” Conventional wisdom coming out of the announcement is that Labs is a team that’ll focus on ideas driven by generative AI. In her announcement, Sharma cited some of the dizzying achievements in tech and gaming over the past month as AI agents and other AI tools have been deployed to swiftly figure out how popular games work, then rebuild them and mix them up. She mentioned seeing ”games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support” and said “[p]erhaps more surprisingly, we’ve seen many of the biggest games in the world have been remixed into the source code of another.” (Minecraft plus Elden Ring, for example, or Fortnite + Super Monkey Ball + Overwatch + Diablo + others.) Sharma also cited the work of Windows PC games being ported to run in browsers, a seeming reference to a recent AI-assisted fan port of Halo. Or perhaps Call of Duty or GTA. Sharma didn’t use the specific term “AI” in her memo, but she came close, citing AI “agents” and their potential for game-making tools that Labs could help craft: I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We’ve spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. When I asked an Xbox rep if Labs was an AI-centric team, they said genAI was not the focus, describing it as having a broader mandate for using new tech in new ways in gaming. As an example, they pointed to Xbox’s recently launched disc-to-digital gaming usage rights program. Microsoft didn’t specifically name anyone involved full-time in Xbox Labs yesterday, but on social media and LinkedIn, I spotted Adrian Mato IDing himself as leading the creatio of tools at Labs and talking up the launch. Mato first caught my attention in late September, when he said on X that he was “starting to build a new team at Xbox focused on products and tools for how games get built and distributed as agentic tools become more capable.” At the time, he framed AI-based tools as a supplement to traditional game dev tools. “I don’t think we need to replace them,” he said. Since then, he’s publicly shown interest in AI and in games. He’s recently spent some of his X feed marveling at the power of AI agents and praising the lighting in the latest Gears of War. Following the Labs announcement yesterday, he enthused about the Xbox Labs’ stylish landing page. He wrote: “We built some fun tools to art-direct shaders in real time, experimented with interactive ASCII art, and sprinkled in lots of tiny details. “Move your mouse to leave a colorful trail that reveals the original footage, or interact with the video to trigger bursts of particles. “A lot of love went into making it all feel just right. “More to come”
Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
Meta launches Muse Spark 1.1, promises cost-effective AI
Meta launches a new AI coding model, Muse Spark 1.1, which is priced aggressively, CEO Mark Zuckerberg said. He called out rivals' "extreme" pricing.
Meta now lets AI agents handle the boring parts of WhatsApp Business setup
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
Miyamoto reveals the origins of the famous dash mechanic in Super Mario Bros.
According to Mario creator Shigeru Miyamoto, the well-known dash mechanic in Super Mario Bros. came about from a coding bug. Miyamoto shared the origins of how it came to be in an interview. The mechanic has existed since the start of the series. When holding the B button while running, Mario’s speed increase and he can more easily navigate obstacles. ...
A hidden “on switch” in human DNA has finally been decoded
Researchers have used AI to uncover the DNA signature of a key genetic “switch” involved in turning genes on. After analyzing about 500,000 DNA sequences, the model identified the initiator in roughly 60% of human genes. The breakthrough could help predict the effects of harmful mutations and eventually contribute to decoding the broader genetic instructions that control gene activity throughout the body.
Wix Headless Brings Wix’s Full Business Infrastructure to AI Coding Tools and Vibe Platforms
New capability lets builders turn any AI-generated frontends into fully operational businesses with Wix-managed hosting, SEO, analytics, and integ...
Decoding Earth's magnetic field may help scientists treat Parkinson's and Alzheimer's. Here's how
"It passes through our bodies, our cells and every living organism on the planet, yet we know surprisingly little about whether and how this invisible force affects the way our cells work."
When AI takes over coding, everyone gets promoted to manager
Leaders no longer need a team to ship software — but they still have to manage one.
Recursion to Report Second Quarter 2026 Business Updates and Financial Results on August 5th
Company to host public Earnings call on August 5th at 8:00 am ET / 6:00 am MT / 1:00 pm BSTSalt Lake City, UT, July 29, 2026 (GLOBE NEWSWIRE) -- Salt Lake City, UT, July 29, 2026 (GLOBE NEWSWIRE) – Recursion (Nasdaq: RXRX), a leading clinical stage TechBio company decoding biology to radically improve lives, announced today it will provide business updates and report its second quarter 2026 financial results on Wednesday, August 5, 2026, before the open of the financial markets. Recursion will h
Decoding the gut microbiome's symphony in health and disease
The trillions of microorganisms living in our intestine influence our health, from digestion and metabolism to immunity. Yet scientists still struggle to understand how these microbes shape these important physiological functions because gut microbiomes are extraordinarily complex, redundant, and dynamic. New technologies are therefore essential for advancing microbiome research. Researchers at the University of Vienna have now reported effective strategies for simultaneously measuring thousands
HHS Releases Report Exposing Fraudulent Insurance Coding For Sex-rejecting Procedures On Minors
HHS released a report Wolves in White Coats: How Doctors and Hospitals Pushed and Profited from the Fraud of “Gender Medicine”.
Could humans ever communicate with whales?
Ever since the earliest known recording of whale song was made in 1949, researchers have been captivated by the wails, rumbles, clicks, grunts and squeals of their communication. As technology improves, scientists are decoding the intricate patterns that make different species’ vocalisations distinctive. Madeleine Finlay hears from Emma Bryce, a journalist who has spent months investigating human efforts to understand whale song. She explains how this knowledge could help us better protect whales from human-made harms.Credits:1. Valeria Vergara/Raincoast Conservation Foundation2. Footage courtesy of Raincoast Conservation Foundation - Obtained for research under SARA permit XMMS 4 20263. Video by Amanda Cotton/Project CETI4. Footage courtesy of Valeria Vergara and GREMM. Obtained for research under SARA permits QUE-MM02-2016 and QUE-LEP-001-20185. Project CETI6. Project CETI
"Programming is hard": Epic Games leans on "vibe coding" for its new Launcher app
But the new "Preview" app "will have some bugs," Epic warns.
Marquette Bookshelf: ‘When Migrants Become Political Pawns: Decoding the American Migrant Busing Crisis’
Dr. Sumana Chattopadhyay discusses her new book, which analyzes the U.S. migrant busing crisis of 2022 as a case study.
Nvidia's CUDA faces new threats from AI coding agents
Nvidia has long dominated because of its CUDA software. Now, AI-driven software is challenging this moat as startups and giants innovate.
How Vibe Coding Changed the Way I Run My Business (and Why Every Solopreneur Should Try It)
Vibe coding has changed how I run my business. Here’s how I use it to automate repetitive work, build useful tools, launch ideas faster and get more done without hiring a development team.
All My Hobbies Are Getting Slopped Up, And It’s Exhausting
The explosion in vibe coding has created an endless sea of drive-by, unserious, and unmaintained software that is attacking the communities around them.
AI coding agents gain trust as developers skip reviews
AI coding agents like Cursor are increasingly trusted to work autonomously, with a rise in AI-generated code reaching production directly.
Cursor releases iPhone and iPad app following recent acquisition by SpaceX
Earlier this month, SpaceX (which includes xAI) purchased the agentic coding firm Cursor. Today, Cursor has released its first iOS...
Logitech launches $99 MX Keypad for coding and AI workflows
Programmable physical controls are becoming key to power user workflows, including agentic programming. Now Logitech is bringing to market a...
The U.S. Healthcare System is Already Mostly Socialized
Now that Abdul El-Sayed is the Democratic nominee for Michigan’s open Senate seat, the outcome of this crucial race will depend mainly on two things: Whether Republicans succeed in demonizing El-Sayed because he’s brown and a Muslim, and whether they succeed in demonizing him as a left-wing radical. I will defer for the now the question of whether bigotry will be effective this year, although I will address it another day. What I want to address instead is El-Sayed’s signature issue — healthcare. Yes, El-Sayed advocates Medicare for All, a position the usual suspects denounce as “socialism.” I will get to the politics of his stance soon. Today, however, I want to talk about the substance. We should be clear that El-Sayed doesn’t even call himself a socialist. On the contrary, he explicitly disavows the label, saying “I’m a capitalist who just knows about capitalism”. In fact, as I explained in a previous post, the policies that El-Sayed advocates qualify him as a social democrat, not a socialist. Still, El-Sayed advocates a system under which the government would pay almost all medical expenses. Isn’t that socialism? Well, if that is the criterion then much of U.S. healthcare is already socialist. In fact, the government’s role is so large that U.S. healthcare is better described as partially privatized socialism than as anything resembling a free market. Let’s start with the raw numbers on health insurance, which pays the bulk of Americans’ medical expenses. Americans receive health insurance either from private companies or from public programs, overwhelmingly Medicare and Medicaid. Here’s what the breakdown of coverage and spending between private and public looked like in 2024: While a majority of Americans with health insurance get it from private companies, well over 100 million of us are covered by government programs instead. And these government programs pay more total dollars for medical bills than the private insurers do. Why do government programs that cover a minority of the population account for a majority of health insurers’ outlays? Mainly because Medicare covers seniors, and we’re expensive. Also, while Medicaid covers many younger Americans, disabled and elderly beneficiaries account for most of its spending. Even by the raw numbers, then, U.S. health insurance looks as much public as private. But that understates the government’s role: Private health insurance in the U.S. is both highly regulated and heavily subsidized. This is obviously true for the insurance coverage purchased by tens of millions of Americans through the exchanges established by the Affordable Care Act. But employment-based health insurance, which covers 161 million Americans, is far more of a government creation than most people realize. For employment-based insurance exists largely because of huge implicit government subsidies that come with major strings attached. Here’s how that works. If your employer pays you $10,000, that’s taxable income. But if your employer pays $10,000 toward a company health insurance plan that meets certain criteria, it isn’t taxable. That’s a huge effective subsidy, running at more than $300 billion a year. Take that subsidy into account, along with the more than $100 billion per year spent subsidizing policies purchased under the ACA, as well as the outlays on Medicare and Medicaid, and net effect is that the government pays for more than two-thirds of Americans’ health insurance. Granted, there are strings attached. Roughly speaking, employment-based health plans can’t discriminate based on medical history — that is, they can’t deny coverage to employees with pre-existing conditions — and they also can’t offer the plans only to highly compensated employees — a health plan that is only for the C-suite is considered taxable income. So given the restrictions of the federal tax code, employer-based health insurance is a lot like Obamacare, which also prohibits discrimination based on medical history and provides subsidies to make insurance affordable to lower-paid workers. The fact is that virtually all of private healthcare insurance is already well under some form of government control through regulation and tax subsidies. How should we think about this system? First of all, is Medicare socialist? Don’t tell anyone, but the way Medicare operates — it covers every senior’s medical expenses, whatever they turn out to be, while being funded by taxes that depend on one’s income — could be summarized by the old Marxist slogan “From each according to his ability, to each according to his need.” And back in 1961, when Ronald Reagan was the face of a last-ditch effort by the American Medical Association to block the creation of Medicare, he denounced Medicare as “socialized medicine” and warned that it would destroy our freedom. In reality, American freedom survived until Jan. 20, 2025, while Medicare is immensely popular, with an 82 percent favorable rating in the most recent KFF survey. Medicaid, government health insurance for lower-income Americans, comes in at 73 percent. This is in sharp contrast to public views about private insurers, who are widely disliked if not hated and accused of denying essential care. Furthermore, if Medicare is socialism, then the whole U.S. health insurance system, with the government paying most of the bills and placing conditions on private insurers, is almost equally socialist. If you insist on calling any program the government pays for and regulates socialist, then U.S. healthcare would best be described as a partially privatized form of socialism. And one must ask, what is the point of the part that is privatized? Do private insurers add anything positive? Or are they simply parasites, skimming off money that could have been paying for care? The case for viewing insurers as parasites is strong. Many Medicare benefits are now delivered via Medicare Advantage, that is, plans paid for by the government but run through insurance companies. MedPAC, an independent advisory commission, estimates that last year Medicare Advantage plans were overpaid by $84 billion, thanks to practices such as “upcoding,” in which patients’ health problems are overstated to get larger sums from Medicare. Assessing the waste from employer-based insurance is harder, but most evidence suggests that private insurers have substantially higher administrative costs than Medicare does. Furthermore, the complexity of private insurance, with multiple payers all trying to deny care when they can, is a huge burden both on providers — doctors, nurses, and hospitals — and on patients. What do private insurers offer to compensate for these costs? One must go through intellectual contortions to avoid the conclusion that they are, in fact, parasites. Which brings me back to El-Sayed. In supporting Medicare for All, he’s basically calling for an end to the partial, parasitic privatization of a healthcare system that is already hugely dependent on public funding. When one looks at it that way, it’s not at all a radical proposal. Admittedly, the political lift requires overcoming the opposition to higher taxes to pay for Medicare for All. Political realism rather than economics was the reason I and many other progressives supported Obamacare, with all its complexities, rather than demanding an immediate move to Medicare for All. But the political calculus may very well have shifted since the 2000s, as Americans are fed up with a system of unaffordable premiums, rampant claim denials, and byzantine claim administration. Moreover, funding healthcare insurance through taxation would allow for a much more progressive distribution of the cost. That is, compared to the present system, middle-income households would pay less as high-income households would pay more. And the U.S. would stop wasting large sums on pointless administrative costs. So let’s be clear: El-Sayed’s healthcare platform is perfectly reasonable on the merits of cost, fairness and health efficacy. And with private insurers never more hated, while millions of Americans are losing their health insurance, 2026 may be its time. MUSICAL CODA
Agentic coding goes hands free as OpenAI brings GPT-Live's full duplex voice control to Codex and ChatGPT on the desktop
This architecture creates a pair-programming dynamic where developers talk through problems conversationally while agents execute tasks asynchronously.
BCBS Downcoding Issues Impact Behavioral Health Providers in Multiple States
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Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
People Are Vibe Coding the Ads Out of Their Smart TVs: Here's How
A viral Claude Code prompt lets Android smart TV owners switch off sponsored rows and tracking software and build their own home screens.
MAI-Code-1-Flash for Copilot Business and Copilot Enterprise
MAI-Code-1-Flash, Microsoft AI’s in-house coding model, is now generally available for GitHub Copilot Business and Copilot Enterprise, building on its recent expansion across Copilot surfaces. Purpose-built for coding and optimized…
Small Business Technology News Roundup: Microsoft Makes A Major AI U-Turn
Microsoft gives users more AI control in Teams as AI coding, dictation and actors reshape business, while rising Google Ads costs push SMBs toward new marketing strategies.
Epic throws shade at Steam, admits to vibe-coding the new Epic Games Launcher with AI "to be faster than the other guy"
Days after pushing an AI-first game development pipeline, Epic has vibe coded the Epic Games Launcher in an effort to outrun Steam.
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DOJ settles lawsuit with Medicare Advantage homecare company for $2M
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Monogram Health to pay $2.4M to settle Medicare Advantage upcoding allegations
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Yale School of Medicine On the Science of Childhood Anxiety, Say, Anxiety Disorders Are the Most Common Mental Health Challenges In Youth
Credit: Matt Bradbury October 5, 2026 - By Isabella Backman - Anxiety disorders are the most common mental health challenges in youth. Left untreated, they can disrupt the lives of both children and their families. The good news is that with intervention, most children will overcome these conditions. Across Yale School of Medicine, scientists are working to understand anxiety at every level, from common anxious behaviors to molecular biomarkers in the brain. They are using their findings to develop and disseminate new evidence-based treatments for childhood anxiety. Today, the go-to treatment for childhood anxiety disorders is cognitive behavioral therapy (CBT). This is a form of psychotherapy that teaches children skills for confronting anxious thoughts and helps them practice managing situations that cause anxiety. While it is the gold-standard treatment backed by considerable scientific evidence, up to 50% of children will not see sufficient benefit from CBT alone. Wendy Silverman, PhD, Alfred A. Messer Professor in the Child Study Center, co-directs the Anxiety and Mood Disorders Program alongside Eli Lebowitz, PhD, associate professor in the Child Study Center. One of their main interests is learning how to improve outcomes beyond CBT. “We’re developing cutting-edge, research-based knowledge that can reduce the suffering that anxiety causes children and their families,” says Silverman. Changing parent behavior YSM experts are investigating how to improve CBT outcomes for children by involving the parents. Silverman’s research has uncovered two main components of parent intervention that improve childhood anxiety: not enabling children to completely avoid the things that make them anxious and taking steps to enhance their autonomy. Parents may unintentionally reinforce their child’s anxiety by allowing them to avoid what makes them anxious. They also may unintentionally limit the children’s sense of autonomy by being overly intrusive. “One of the things that we take pride in is that we’ve focused on trying to understand what parents need to do, and to test our ideas and see if changing the parents’ behaviors is enhancing the effects of CBT,” Silverman says. “Our findings thus far suggest that they do." As much as CBT can be helpful, it can also be challenging to get one’s child to do the necessary steps for CBT to work. This is one important reason why Lebowitz created a novel intervention program for parents named Supportive Parenting for Anxious Childhood Emotions (SPACE). Existing intervention programs often teach parents to act as therapists for their child, such as training them on how to practice breathing exercises. “It makes sense, but this doesn’t work very well in practice,” says Lebowitz. “And part of the reason, I think, is that it’s not easy to get your kid to do things, especially if they’re not excited about doing it.” SPACE is unique because it focuses entirely on parent involvement and changing parental behavior—children are not involved in the sessions. For example, parents learn how to use supportive messages that convey confidence that their child can tolerate and manage distress. “It might sound like a parent saying to a child, ‘I get that this is really hard for you, but I know that you can handle it,’” Lebowitz says. The program also works with parents to identify the ways in which they are accommodating anxious behaviors. “We’ll pick one thing that parents are doing that is an accommodation and help them make a detailed plan for how they’re going to change that,” Lebowitz explains. Treating Anxiety in Children and Adolescents Much of the existing research on SPACE has focused on parents of children under age 14. Ongoing studies are now exploring its use with parents of older teens. “Both anxiety and accommodation can interfere with normative developmental shifts during the teen years, including increased autonomy and individuation from parents,” says Rebecca Etkin, PhD, associate research scientist in the Child Study Center. “In this sense, SPACE may be particularly well-suited for anxious teens and their parents. We want to see whether it is effective during this distinct developmental window.” Unfortunately, many families in need of CBT face barriers, including limited availability of services and geographic constraints. One way to improve access is digital interventions. Silverman and her team are developing an evidence-based digitized intervention program for parents that they can access directly from their computer or smart phone. “The work we’re doing will be one of the very few parent interventions that is digitized and importantly tested for effectiveness,” she says. Creating interventions for anxiety-related challenges Silverman and Lebowitz recently received a generous gift to develop and test other interventions that help parents reduce other child anxiety-related behavioral and emotional difficulties, such as restrictive eating and unexplained somatic symptoms. One of these projects in particular focuses on understanding the risks of social media and its potential benefits, including offering a sense of connection. “A lot of research has focused on the idea that social media is harmful and the less of it the better,” says Lebowitz. “But we actually see is that this is not quite right—there are negatives, but there are also positives. So, we’re trying to get a little bit more nuanced of a picture.” The team is working with teens with social anxiety and their parents over an extended period to better understand their social media habits and how their anxiety levels affect engagement with different platforms. The teens will answer questions sent to an app on their phones about mood and social media usage in an effort to capture emotional responses as they unfold. “We hope to develop interventions that can help make the best of social media while protecting against the more problematic effects,” Lebowitz says. The brain’s role in anxiety Researchers are also testing therapies to address anxiety at the neurological and molecular levels. In collaboration with Dylan Gee, PhD, professor of psychology in Yale's Faculty of Arts and Sciences, and Hilary Blumberg, MD, John and Hope Furth Professor of Psychiatric Neuroscience at Yale School of Medicine, Lebowitz and Silverman are using brain imaging to identify changes in a child’s brain before and after parents enroll in SPACE. In one study, children viewed anxiety-inducing images while undergoing magnetic resonance imaging (MRI); the researchers conducted scans with and without the children’s parents nearby. Before SPACE, children’s brains were better able to activate the regulatory circuitry needed to turn off an anxious response when their parents were nearby. But after SPACE, children could activate this circuitry even without the parent around. “As parents work on gradually reducing some of their accommodations, you can see a child get better at regulating their own fear system in the brain,” Lebowitz says. “It’s remarkable.” Research into the molecular underpinnings of anxiety can also inform new childhood anxiety treatments. In a recent study, Lebowitz, Silverman, and Flora Vaccarino, MD, Harris Professor in the Child Study Center, discovered that a protein known as fibroblast growth factor 2 (FGF2) could be protective from the toxic effects of stress. FGF2 levels in children and their parents were linked to the children’s risk of developing anxiety and depression, the study showed. The findings could help explain why some children who are exposed to early life trauma such as poverty or abuse are more prone to developing mental health disorders. And FGF2 could be a target for treatment. “This is very novel because it starts to give a clue to what is the molecular chain that connects those lived experiences to the actual psychological outcomes,” Lebowitz says. New ways to study and treat childhood anxiety Michael Crowley, PhD, associate professor in the Child Study Center, collaborates with Silverman and Lebowitz to study the role that attention plays in development and maintenance of childhood anxiety. There is a large body of research that shows that anxious children, like anxious adults, are prone to focus on threatening stimuli such as angry faces compared with neutral faces. This has led to innovative interventions that involve attention retraining. The idea is that if experts train children to look away from threatening stimuli, it may reduce their anxiety—especially children with social anxiety who are most prone to attend to threats. The researchers have just completed a clinical trial for attention retraining with 10- to 14-year-olds with social anxiety disorders and are currently analyzing the findings. Besides this innovative attention retraining research, as Crowly notes, “I like to design tasks that are engaging to kids,” Crowley says. “My goal is to assess something without the kids knowing what we are assessing.” With this goal in mind, Crowley has created a virtual game, named Boom, to study threat processing in children with anxiety disorders. The game is similar to that of hot potato—the child and three digital players take turns virtually passing a ball to each other’s gloves. At some point, the ball turns into a bomb, and as the bomb lands in each player’s glove, the outline of the glove turns yellow. The goal is to avoid having the bomb go off in your glove. What isn’t obvious is that the game is designed to measure different types of threatening stimuli, both ambiguous and direct. In the game, the direct threat occurs as the bomb is traveling towards your glove. The ambiguous threat is the yellow outlined glove as it is unknown where the bomb will travel next. While children play the game, Crowley’s team measures their brain activity using electroencephalography (EEG). The researchers have discovered that in kids with anxiety, the brain reacts more strongly to ambiguous threats than it does in their peers, but less strongly to direct threats. They believe that the initial abnormally large brain response to not knowing where the bomb is going impairs the brain's ability to properly respond when the threat is actually traveling the child’s way. “The brains of children with anxiety are unable to differentiate between threats you need to do something about and those that are not your problem.” Michael Crowley, PhD, develops innovative games for studying anxiety in children and adolescents.Credit: Matt Bradbury Based on these insights, Crowley hopes to study whether interventions like attention training could restore appropriate threat processing. Crowley’s team is also working on a test called the Balloon Risk Avoidance Task, which evaluates risk-taking and avoidance behaviors. It features a digital balloon that is full of air and about to burst. Kids have six seconds to let air out of the balloon. The more air they let out, the less risk they face that the balloon will pop. But at the same time, the balloon becomes less valuable as it deflates. “The more air you keep in the balloon, the more points you get,” Crowley explains. So far, the researchers have found that when the balloons pop unexpectedly, teens with social anxiety show distinct brain responses. Studying these responses can help psychologists understand the underlying pathways driving the various manifestations of anxiety. The genetics of anxiety When Thomas Fernandez, MD, associate professor in the Child Study Center and of psychiatry, was still in training, there was a lot of excitement about understanding the genetics associated with autism spectrum disorder. Since then, scientists have identified around 250 genes associated with autism. The genetic contribution to anxiety disorders, on the other hand, has historically received less attention. Anxiety is less heritable than autism, but the genetic contribution for anxiety disorders that emerge in childhood may be higher than for anxiety disorders overall. While scientists estimate the heritability of anxiety disorders in general to be around 30% to 50%, some studies suggest higher heritability for certain childhood-onset anxiety presentations. “I saw firsthand how researchers in the field went about finding vulnerability genes for autism,” Fernandez says. “So, we’re using a very similar playbook for childhood anxiety.” “I saw firsthand how researchers in the field went about finding vulnerability genes for autism. So, we’re using a very similar playbook for childhood anxiety.” Thomas Fernandez, MD Associate Professor In the Child Study Center and in Psychiatry Now, Fernandez and Emily Olfson, MD, PhD, assistant professor in the Child Study Center, are studying children and their parents to identify genetic changes that are present in the child but not the parents, known as “de novo mutations.” “All of us have some de novo mutations—maybe about 50 to 100 sprinkled throughout the genome,” Olfson says. “But when they occur within the coding regions of genes, they can be really disruptive.” Previous research shows that people with autism have higher rates of damaging de novo mutations than the general population. In 2022, Olfson, Lebowitz, Silverman, and Fernandez published a study on 68 children and their families that found that children with anxiety had similarly high levels of these mutations. Studying de novo mutations can help point the researchers to where they should be looking for genes associated with anxiety. “The end game is using the genes to steer us toward the right part of biology that we can then target to come up with better treatments,” Fernandez says. Building on those findings, the team is now studying more families to better understand how these de novo mutations, along with other genetic and environmental factors, shape pediatric anxiety disorders. They recently received a National Institutes of Health grant to enroll 750 new families over the next five years. Olfson is the principal investigator, with co-investigators Lebowitz, Fernandez, Silverman, and Shuangge Steven Ma, PhD, department chair and professor of biostatistics at Yale School of Public Health. Neurodevelopment, Risk Genes, and Mental Health Conditions - The Olfson Lab Joel Gelernter, MD, Foundations Fund Professor of Psychiatry, is interested in how different anxiety disorders differ genomically. “We are studying social phobia, panic disorder, and generalized anxiety disorder, working to understand why people differ in their risk to these specific anxiety disorders and evaluating various risk factors,” he says. Gelernter was recently involved in one of the largest studies to date of the genomics underlying anxiety disorder. The study included around 122,000 people with anxiety disorders and around 730,000 without. It found that some genetic differences associated with anxiety were linked to signaling that helps reduce overactivity in the nervous system. Many anxiety medications available today work by targeting this process. “It’s nice when the biology that you get out of a large genome-wide study ratifies things that we already know because that can help increase confidence in further findings from the study,” Gelernter says. Uncovering the neurobiology of psychiatric disorders John Krystal, MD, Robert L. McNeil, Jr. Professor of Translational Research and chair of the Department of Psychiatry, is interested in the neurobiology of psychiatric disorders, including post-traumatic stress disorder (PTSD), of which anxiety is a major symptom. In the late 1980s, Krystal’s team discovered that the drug yohimbine activated symptoms in patients with PTSD. “This was the first time we could link a specific biological mechanism to the symptoms of PTSD,” Krystal says. At the time, he adds, this finding was highly controversial. “A lot of people felt that PTSD was a purely psychological syndrome that didn’t have an underlying biology.” Since then, Krystal has dived deep into understanding the neurobiology of PTSD to learn how to better treat it. His team is evaluating the use of ketamine and psychedelics. These would be among the first treatments to be developed specifically for PTSD. They may also be applicable for other disorders including anxiety disorders, Krystal adds. An important gap in PTSD treatment is the absence of biological tests that inform how to best help patients manage their PTSD symptoms. A doctor doesn’t diagnose cancer based on how they feel. Rather, they use tests of the biology of the cancer to determine the best course of treatment. “And we can’t do that in any psychiatric disorder other than Alzheimer’s disease,” Krystal says. “But now we are building a foundation for this approach to the treatment of anxiety disorders for the first time.” Source: Yale School of Medicine
OpenAI report reveals the workplace skills AI can't automate as easily
OpenAI's latest data shows AI is automating coding fast, but human judgment, priorities, and decision-making still matter most.
Amid hardware legal battle, OpenAI releases a $230 keyboard for Codex
OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding app.
Merriam-Webster welcomes ‘looksmaxxing,’ ‘vibe coding’ and ‘cuffing season’ to new word list
Merriam-Webster added 1,400 new words including vibe coding, looksmaxxing, parasocial, rickroll and meme coin in a sweeping internet-age update.
AI Made Cloning Games Easier Than Ever
Vibecoding has made it possible to create a cheap rip off of a video game in just a few hours.
At colleges, the AI boom means everyone wants to dabble in computer science
With no background in coding, Faith Maeba, a psychology major, was reluctant when her mother first suggested she enroll in classes on artificial intelligence. But the senior at Virginia Commonwealth…
Large Language Models in Life Science Research: What Scientists Need to Know
Large language models are reshaping literature review, coding, and scientific writing in life science research. Explore what LLMs can and cannot do reliably.
Decoding Trump’s chaos: What science tells us about how Canada — and the world
As uncertain as Donald Trump’s new world order is, science can explain the effects of his aggression and how to respond.
Meet Meta's new vibe-coding app: Pocket
Pocket is a new app from Meta that lets you create and share interactive content, like mini games, with friends. It's powered by Meta's AI.
Northwestern summer program helps high school students REACH for science and art education
In just three weeks, a Northwestern summer program introduces high school students to astronomy, art and coding. The Research Experiences in Astronomy at CIERA for High School Students program trains students to become modern researchers, teaching them how to code and analyze data, according to REACH director James Schottelkotte. The program is running two three-week...
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
As the coding boom fades, computer science grads focus on AI skills in choppy job market
It's a difficult job market for new graduates, especially in fields like software development where artificial intelligence is shouldering more of the work. While college students majoring in computer...
Eric Schmidt said young programmers should become 'architects'
The former Google CEO said today's AI coding tools surpass his skills and free up programmers to be the architects, not the ones who build the house.
FSU computational scientist helps advance targeted drug-delivery systems using coding, modeling
A Florida State University computational scientist is paving the way for future medical breakthroughs by developing mathematical models and simulations to
‘Vibecoded’ Apps Are Flooding Apple’s App Store
Mobile apps are easy to make with artificial intelligence. That doesn’t mean people are excited to use them.
Meet Meta's new vibe-coding app: Pocket
Pocket is a new app from Meta that lets you create and share interactive content, like mini games, with friends. It's powered by Meta's AI.
Linux creator has a simple message for AI holdouts: Fork off
Linus Torvalds says Linux developers should embrace AI coding tools or fork the project, ending a heated open-source debate.
Prof Elizabeth Streicher unravels the science behind drug-resistant TB
Prof Elizabeth Streicher of the Division of Molecular Biology and Human Genetics delivered her inaugural lecture on Tuesday 1 September 2026. Her research focuses on the transmission and spread of Tuberculosis (TB). Knowing where TB transmission is happening can help to stop it from spreading. Prof Elizabeth Streicher of the Division of Molecular Biology and Human Genetics in the Faculty of Medicine and Health Sciences delivered her inaugural lecture on Tuesday 1 September 2026. The title of her lecture was Decoding tuberculosis: the evolution of technology, epidemiology and the Mycobacterium tuberculosis genome. Streicher explained to Corporate Communication and Marketing how molecular epidemiology (using genetic information to track how and why diseases spread through populations) has improved our understanding of where drug-resistant TB comes from, how it spreads and how drug resistance evolves within and between populations. Tell us more about your research and why you became interested in this specific field. Overall, our research group studies the genome (complete set of DNA instructions found in a cell) of Mycobacterium tuberculosis, the bacteria that cause tuberculosis (TB) disease. Various regions of the genome are interrogated to study different aspects of the disease. My main focus has been on the epidemiology of tuberculosis – how the bacteria’s genome changes over time and what this tells us about the transmission and spread of the disease. How would you describe the relevance of your work? If we understand how the bacteria that cause TB change and spread, it can assist in combating TB globally. How has molecular epidemiology helped improve our understanding of drug-resistant TB? Molecular epidemiology was very important in drug-resistant TB as it was originally believed that bacteria that become resistant to antibiotics would be less fit and not be able to transmit. But it was shown that they can transmit, and therefore have to be monitored to identify hotspots of transmission and outbreaks, etc. Can you tell us briefly about the spoligotyping technique and its advantages for studying drug-resistant TB? Spoligotyping (a molecular technique used to identify and track specific strains of TB bacteria) does not detect drug resistance, but since the technique is relatively quick to do, it can be very useful in real-time situations, e.g. to monitor outbreaks of drug resistance. Why are interrupting transmission chains and identifying genomic hotspots important for controlling the spread of TB? Knowing where TB transmission is happening can assist in allocating resources to those areas to stop future transmission and spread of TB. Higher education can be challenging. What keeps you motivated when things get tough? Students – how they are so passionate and dedicated to learning and contributing to research and society as a whole. What aspects of your work do you enjoy the most? Again, the students and colleagues! But also the fact that it is continuously changing and thereby we are learning and expanding our knowledge. In the end, I know that we contribute to a better society in our small way. Tell us something exciting about yourself that people would not expect. Even though I love hiking (day and multi-day hikes) and being outside, I really do not like camping! How do you spend your free time? I love hiking (wellbeing in nature) and like to watch most sports. ©Higher Education Media Services. Subscribe
Scientists are decoding elephant rumble calls, including ‘greetings’ and ‘coos’
Scientists are piecing together why elephants make these low calls and what they might mean
Efzimfotase alfa demonstrated improvements in bone health in treatment-naïve pediatric patients with hypophosphatasia achieving median difference of 1.67 vs placebo in RGI-C Score at week 25 in MULBERRY Phase III trial
Positive results from the MULBERRY Phase III trial showed that efzimfotase alfa (ALXN1850), an investigational enzyme replacement therapy, demonstrated a statistically significant and clinically meaningful improvement in bone health in children (2 to
The Villages Health’s $541 million settlement highlights the cost of ‘upcoding’
The settlement describes how The Villages Health would go back into patients' medical files months later and add diagnoses -- sometimes adding in monitoring, evaluations or treatments.
Is Salesforce Still The Business You Bought?
If you hold Salesforce (CRM), you likely bought into a subscription software provider known for steady growth and reliable cash generation. During its fiscal Q2 2027 earnings call in August, management noted that a $25 billion accelerated share repurchase was still under way.
A niche MacBook idea. Five minutes. One Codex app.
Business Insider's Stephen Council used OpenAI Codex to build a custom Mac clipboard app in minutes—no coding required.
How vibe coding is impacting business in the long term
Utilizing AI to help software development is swiftly becoming normalized across organizations, leaving IT pros to manage any potential problems. Companies need to consider their level of liability when choosing to deploy vibe coding, Mike Wehrs, TieTechnology COO, told IT Brew. Issues can vary, and depend on the relative newness of vibe coding to the tech stack, as well as the talent of those using it.
LOCALIZE IT: As coding boom fades, computer science grads focus on AI skills in choppy job market
Computer science graduates face hiring challenges; artificial intelligence demand is shifting recruitment toward seniors
Cognition cofounder: AI race hits 'intelligence saturation' point
Cognition's cofounder says many AI coding tasks are now "intelligence saturated," making cost and speed more important than a smarter model.
The Strange New Politics of AI. Plus. . .
It’s Thursday, September 17. This is The Front Page, your daily window into the world of The Free Press—and our take on the world at large. Today: Douglas Murray asks, why do we allow terrorists to die of old age? The American nonprofits backing Hamas. A conversation with Dara Horn and Coleman Hughes. And much more. But first: inside the unlikely coalition warning that AI may kill us all. Last week, an AI researcher named Jacob Coxon made headlines around the world after saying that he had resigned from Anthropic because he believes AI might cause human extinction—and his co-workers do, too. Unlike the rest of us, potentially, the story just won’t die. The Pro-Human Assembly, a conference held Tuesday in Washington, D.C., about the existential dangers of artificial intelligence, couldn’t have come at a better time—or with a more eclectic coalition. The Archbishop of San Francisco was there. So was Steve Bannon, screaming about the Chinese. Bernie Sanders did a quasi-dramatic reading of messages posted to an online forum by rogue AI agents. Ashley Judd paraphrased a graphic Andrea Dworkin quote for reasons that remain a mystery to me still. It was odd. People in the AI industry have talked openly about the possibility of this technology causing human extinction for years, but it hits differently in the wake of the Hugging Face incident. If you don’t know what that is, all the more reason to read my dispatch today. As the doomers see it, the best-case scenario is a future in which humans are basically kept as pets: well cared for, but with zero autonomy. The worst-case scenario, obviously, is the everyone dies thing. What should be done? I heard lots of ideas but no easy answers. There are currently zero federal regulations on AI, which is sort of strange even to think about. After all, we regulate microwaves, and the people running the microwave industry have never once refused to rule out the possibility that their products will end all human life on Earth. What I saw in D.C. left me even more convinced that you would be hard-pressed to find anyone who believes nothing should be done. You know, except for President Trump. — River Page River Page • Tech and Business [ The AI Doomers Have a Plan to Save Us. I Went to Find Out What It Is. ](https://www.thefp.com/p/the-ai-doomers-have-plan-save-bernie-sanders-bannon) Read story How Robert Kraft Made Macklemore a Martyr—and How to Better Fight Antisemitism On Monday, New England Patriots owner Robert Kraft and a group of other NFL owners banned Macklemore from performing at their stadiums after the rapper delivered a “Free Palestine” speech while opening for Ed Sheeran. Kraft cited the rapper’s “broader history of antisemitic rhetoric and imagery.” Once multiple venues refused to host shows with Macklemore on the lineup, the tour’s promoter officially dropped him. Today, Josh Kaplan says that the move was counterproductive, arguing that though well-intentioned, Kraft’s decision turned an irrelevant footnote into a martyr. “You cannot cancel people into liking you,” Josh writes. Read his column on what a better response to Macklemore would have looked like. Read [ Robert Kraft Made Macklemore a Martyr ](https://www.thefp.com/p/robert-kraft-made-macklemore-martyr-antisemitism-palestine) This raises the question: What actually works against antisemitism? On the latest episode of Conversations with Coleman, recorded in front of a live audience in New York, Dara Horn joins Coleman Hughes to talk about her new book The Final Solution to the Jewish Question. She argues that antisemitism is a script that has repeated itself across countries and ideologies, and that most people don’t understand that well enough to fight it. Don’t miss their conversation. Watch [ The Lie at the Center of Antisemitism, with Dara Horn ](https://www.thefp.com/p/the-lie-at-the-center-of-antisemitism-coleman-hughes-dana-horn) Listen now Douglas Murray • U.S. Politics [ Douglas Murray: The 9/11 Failure That Still Haunts America ](https://www.thefp.com/p/douglas-murray-911-failure-justice-terrorist-guantanamo-bay) Twenty-five years after the September 11 attacks, the men who planned them have still not faced trial. Khalid Sheikh Mohammed and most of the accused have been locked up in Guantanamo Bay since 2002. Judges have retired, and plea deals have collapsed. Today, Douglas Murray examines how this happened and argues that a justice system that allows terrorists to die of old age in an interminable pretrial process is one that has failed. Read his latest column on what that failure says about our unpreparedness for the era we are now living in. Read story The Editors • U.S. Politics [ When Nonprofits Support Terrorists ](https://www.thefp.com/p/when-nonprofits-support-terrorists) A newly declassified CIA brief from 1998 found that Osama bin Laden used nonprofit shell organizations—including U.S.-based Islamic groups—to fund his terror plots. Today, a similar story is unfolding as multiple organizations on American soil present themselves as nonprofits, taking advantage of tax-exempt status while seeking to advance the ideological mission of terrorist groups like Hamas. Read our editorial on the latest evidence of this dangerous trend—and why there’s no excuse for making the same mistake the CIA revealed 28 years ago. Read story Simon Sebag Montefiore and Bari Weiss Live in New York For decades, the Middle East has shaped American foreign policy and loomed large in the public consciousness. Few understand its influence on our politics better than Simon Sebag Montefiore, who argues that America’s quagmires in the Middle East stem from a deep misunderstanding of the region—on both the left and the right. Join him October 1 as he sits down with Bari Weiss live in New York City to kick off his U.S. book tour for The Cauldron: The Making of the Modern Middle East. Get Tickets Now MORE FROM THE FREE PRESS [ Sydney Sweeney’s Naked Truth ](https://www.thefp.com/p/sydney-sweeneys-naked-truth-caitlin-flanagan) Caitlin Flanagan Read story [ I Thought Ukraine Was Losing. Then I Was Almost Hit by a Russian Drone. ](https://www.thefp.com/p/elliot-ackerman-ukraine-drone-gas-station-train) Elliot Ackerman Read story [ The Dangerous Ideology Behind the AI Warnings ](https://www.thefp.com/p/dangerous-ideology-effective-altruism-artificial-intelligence) Shyam Sankar Read story [ Amanda Knox: Patrick Clancy Can’t Win ](https://www.thefp.com/p/amanda-knox-patrick-clancy-grief-internet-crime) Amanda Knox Read story THE NEWS The Federal Reserve raised interest rates by a quarter point, its first hike since 2023, signaling that another increase could follow as the central bank tries to bring inflation under control. President Donald Trump fired back by demanding that rates be cut sharply, though he stopped short of criticizing Fed Chair Kevin Warsh by name. The Houthis fired drones and missiles at Saudi Arabia on Wednesday, including a major oil port on the Red Sea, and Saudi jets struck back with air strikes across Yemen in an escalating front of the Middle East war. (For more on the Houthis, read Zineb Riboua’s column from earlier this week.) A sweeping Russia and Iran sanctions bill passed the House in a 262–159 vote and is now heading to Trump for his signature. Named after the late senator Lindsey Graham, the legislation would hit countries that purchase large volumes of Russian oil and gas with tariffs of up to 100 percent, and is aimed at cutting off revenue that funds Russia’s war in Ukraine. European Commission president Ursula von der Leyen proposed making Canada the European Union’s first-ever “associate member,” drawing a standing ovation from European lawmakers. The proposal, framed as a response to a world grown more hostile, faces an uncertain path as EU member states would have to approve it, and one diplomat said that “nobody really knows what it means.” The House voted unanimously to send billionaire Leon Black a criminal contempt referral after he defied a congressional subpoena to testify and hand over documents related to his connections to Jeffrey Epstein. Black chose to fight the subpoena in court rather than comply. Charlie Kirk’s family filed a wrongful death notice Wednesday against Utah Valley University, alleging that a series of security failures left him exposed to a rooftop sniper. The notice is a required legal step before the family can sue. Merriam-Webster added 1,400 words and definitions to its dictionary, including looksmaxxing, vibe coding, and cuffing season. The publisher said the new entries offer “a window into the world today.” The Free Press earns a commission from any purchases made through all book links in this article.
Prominent Journalists to Discuss Tech, AI Evolution at Bucksbaum Business Lecture
Drake University announced today the 4thAnnual Bucksbaum Lectureship in Business. Speakers Karen Hao and Nicholas Thompson will headline the lecture: “Decoding America’s Tech Moment.” Hao is a best-selling author and award-winning reporter covering artificial intelligence and Thompson is CEO of The Atlantic. The event will take place at 7 p.m. on Wednesday, Oct. 21, at...
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Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away."
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As the coding boom fades, computer science grads focus on AI skills in choppy job market
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Coding a Community for Women in Computer Science
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Midjourney founder says AI coding leaves friends 'extremely drained'
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Florida health system settles Medicare Advantage fraud claims for $542M
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CUDA engineers adapt as AI reshapes Nvidia chip expertise
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Google unveils Gemini 3.7 Flash AI model for coding, agent workflows
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As the coding boom fades, computer science grads focus on AI skills in choppy job market
It's a difficult job market for new graduates, especially in fields like software development where artificial intelligence is shouldering more of the work.
Linus Torvalds Working On A Hefty Linux Kernel Improvement With Claude Code
Linux creator Linus Torvalds has been known to use AI to help with kernel debugging and outside of the kernel tree has also done some vibe coding with Google's Antigravity
Hackers quickly prove that Neo Geo Doom ports are not "impossible"
Clever coding and graphical compromises get a classic game on more classic hardware.
As coding boom fades, computer science grads focus on AI skills in choppy job market
It has been a difficult job market for new graduates, especially in fields like software development where artificial intelligence is shouldering more of the work.
Journalists to discuss AI, technology at Drake’s Bucksbaum Business Lecture
Drake University will host journalists Karen Hao and Nicholas Thompson for its fourth annual Bucksbaum Lectureship in Business at 7 p.m. Oct. 21 at the Knapp Center. The lecture, titled “Decoding America’s Tech Moment,” will explore the evolving technology industry and the implications of artificial intelligence. Hao is a bestselling author and award-winning AI reporter…
OpenAI reveals how much its researchers are spending on AI coding
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Inside the recruiting practices at the hottest AI coding startups
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Kids Make Games, Learn Computer Science In Summer Coding Club
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Oracle Health Expands Clinical AI Agent with Automated Coding, Dictation, and Chart Review
/PRNewswire/ -- Oracle Health today announced new capabilities for Oracle Health Clinical AI Agent, now available in the U.S., that expand AI across clinical...
Reimagining how scientists study the chemistry of the air
Professor Victoria Barber and doctoral student Cooper Crabtree are spearheading Keck Foundation-funded project charting a path toward better understanding atmospheric oxidation. by Álvaro Castillo, UCLA College of Letters and Science From the vantage point of Victoria Barber, a UCLA assistant professor of chemistry and biochemistry, understanding the chemical reactions that shape air quality and climate are among the most pressing scientific challenges of our time. And thanks to a recent grant from the W.M. Keck Foundation, she and doctoral student Cooper Crabtree will spearhead a new research project exploring exactly how pollutants form in the atmosphere. Specifically, the project will examine how volatile organic compounds transform through atmospheric oxidation and explore how pollutants, like smog, form in the atmosphere. VOCs are released by sources ranging from trees and wildfires to vehicle exhaust pipes and consumer products such as cologne and perfume. As they undergo atmospheric oxidation, they can transform into a wide range of other compounds. Anyone in Southern California can attest to the urgency of this area of research — for example, in late July of this year, Los Angeles County was under an active ozone pollution advisory for almost a full week. While many people associate ozone with the protective ozone layer high in the stratosphere, ground-level or tropospheric ozone is a harmful secondary pollutant formed through atmospheric oxidation. Understanding how VOCs transform into pollutants like ozone is therefore critical to improving air-quality forecasts and informing strategies to reduce exposure. “My group is focused on trying accelerate our understanding of these networks of reactions so that we can do a better job of predicting how those pollutants form,” Barber said. “When we make decisions about how we might alter emissions, we can understand how that’s going to influence the production of these downstream pollutants.” With support from the W. M. Keck Foundation, Barber and Crabtree are developing new experimental approaches that will combine — and improve — techniques to study hundreds of chemical systems more efficiently than traditional methods allow. Instead of spending years decoding a single VOC, the project seeks to dramatically expand the pace and scale of discovery. The grant comes at a particularly important moment for environmental research. Barber, who joined UCLA in 2023, says funding for climate and air-quality research, especially for early career scientists, has become increasingly difficult to secure, a challenge compounded for ambitious projects that require building entirely new research infrastructure. The Keck Foundation’s support, Barber said, provides the flexibility to pursue bold early-stage, high-risk ideas that may be more difficult to fund using conventional federal funding sources. “It’s really, really hard to do environmental research under the current federal paradigm,” Barber said. “By stepping in and providing stable and flexible funding to explore this new idea, the Keck Foundation is making a huge difference to my research program.” In addition to funding early-career faculty, the Keck Foundation’s support is also focused on empowering graduate students like Crabtree in their scientific growth. The project gives Crabtree the opportunity to help develop an entirely new experimental approach to studying atmospheric chemistry — an experience that will provide him with valuable technical skills, scientific training and preparation for the next stage of his career. Stable funding also allows doctoral students like Crabtree to devote themselves more fully to research rather than balancing their scientific work with additional teaching responsibilities needed to cover funding gaps. “Getting to devote more of my time to research this past school year has greatly improved the pace and quality of our experiments, data analysis and planning for our future work,” said Crabtree, who is pursuing a Ph.D. in chemistry. “I feel very lucky — especially amid the current uncertainty surrounding scientific funding — to be able to continue exploring exciting knowledge gaps in our field and growing as a scientific researcher.” For Barber, mentorship is among the most rewarding and important aspects of her role as a faculty member. “Our jobs as faculty are to do good science and make good scientists,” she said. “I believe the Keck Foundation shares this belief and sees the potential positive impact this project can have.”
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