The Automated Daily - Tech News Edition

AI safety guardrails stripped fast & Chrome brings AI on-device - Tech News (May 27, 2026)

Please support this podcast by checking out our sponsors: - Consensus: AI for Research. Get a free month - https://get.consensus.app/automated_daily [https://get.consensus.app/automated_daily] - Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad [https://try.elevenlabs.io/tad] - Lindy is your ultimate AI assistant that proactively manages your inbox - https://try.lindy.ai/tad [https://try.lindy.ai/tad] Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily [https://buymeacoffee.com/theautomateddaily] TODAY'S TOPICS: AI SAFETY GUARDRAILS STRIPPED FAST - TESTS SHOWED OPEN-SOURCE MODEL GUARDRAILS FROM META AND GOOGLE CAN BE REMOVED QUICKLY, ENABLING HARMFUL OUTPUTS LIKE MALWARE AND BIOWEAPON GUIDANCE. KEYWORDS: DECENSORED MODELS, OPEN WEIGHTS, POLICY, GITHUB TOOLS. CHROME BRINGS AI ON-DEVICE - GOOGLE CHROME PREVIEWED BUILT-IN AI FEATURES THAT CAN RUN LOCALLY ON A USER’S DEVICE, IMPROVING PRIVACY AND CUTTING CLOUD COSTS. KEYWORDS: ON-DEVICE AI, WEB APPS, LATENCY, PRIVACY. GOOGLE RESHAPES SEARCH FOR AGENTS - SUNDAR PICHAI DESCRIBED REORGANIZING GOOGLE AROUND CENTRALIZED AI TEAMS AS SEARCH SHIFTS TOWARD AGENTIC EXPERIENCES LIKE AI MODE. KEYWORDS: GOOGLE SEARCH, AI OVERVIEWS, AGENT PLATFORMS, PUBLISHER TRAFFIC. NVIDIA EXPANDS INTO DATA-CENTER CPUS - NVIDIA SIGNALED A BIGGER PUSH INTO DATA-CENTER CPUS TO COMPLEMENT GPUS IN AGENTIC AI SYSTEMS, AIMING TO CAPTURE MORE OF THE INFRASTRUCTURE STACK. KEYWORDS: VERA CPU, ORCHESTRATION, DATA CENTER, COMPETITION. MICRON JOINS TRILLION-DOLLAR CLUB - MICRON’S VALUATION SURGE REFLECTS INVESTOR BELIEF THAT AI-DRIVEN MEMORY DEMAND AND LONGER CONTRACTS COULD MAKE A CYCLICAL MARKET MORE PREDICTABLE. KEYWORDS: HBM, MEMORY SUPPLY, AI SERVERS, MARGINS. OPEN-SOURCE HUMANOID ROBOT PLATFORM - HUGGING FACE RELEASED AN OPEN-SOURCE BIPEDAL LEGS PLATFORM DESIGNED TO BE PRINTABLE, REPAIRABLE, AND REPRODUCIBLE FOR EMBODIED AI EXPERIMENTATION. KEYWORDS: LEROBOT HUMANOID, 3D-PRINTED ROBOTICS, SIMULATION-TO-REAL. SPACEX IPO AND STARLINK MOMENTUM - SPACEX’S S-1 FRAMES THE COMPANY AS SPACE, CONNECTIVITY, AND AI INFRASTRUCTURE, WHILE STARLINK KEEPS LANDING MAJOR AIRLINE DEALS AHEAD OF A HUGE IPO. KEYWORDS: STARLINK, STARSHIP, ORBITAL COMPUTE, GOVERNANCE. NASA MOON BASE AND SPACE COMPUTING - NASA OUTLINED STEPPED-UP LUNAR MISSIONS, ROVERS, AND SCOUTING DRONES, WHILE TESTING A NEW HIGH-PERFORMANCE SPACEFLIGHT PROCESSOR FOR AUTONOMY. KEYWORDS: MOON BASE, BLUE ORIGIN, HPSC, JPL. STACK OVERFLOW AFTER THE AI SHIFT - STACK OVERFLOW’S PUBLIC Q&A TRAFFIC HAS COLLAPSED AS DEVELOPERS USE CHATBOTS, EVEN AS THE COMPANY PIVOTS TO ENTERPRISE PRODUCTS AND DATA LICENSING. KEYWORDS: DEVELOPER COMMUNITY, AI ASSISTANTS, STACK INTERNAL, LICENSING. DROPBOX CEO TRANSITION AND STRATEGY - DROPBOX IS HANDING CEO DUTIES TO A NEW LEADER AFTER YEARS OF SLOWER GROWTH, BETTING ON AI FEATURES LIKE SMARTER SEARCH TO STAY RELEVANT. KEYWORDS: LEADERSHIP CHANGE, SAAS COMPETITION, AI PRODUCTIVITY. HUAWEI’S 3D CHIPMAKING CLAIMS - HUAWEI CLAIMS A 3D ‘LOGICFOLDING’ APPROACH COULD NARROW THE ADVANCED-CHIP GAP DESPITE SANCTIONS, THOUGH INDEPENDENT VALIDATION IS LIMITED. KEYWORDS: SEMICONDUCTOR SELF-RELIANCE, 3D STACKING, EXPORT CONTROLS. WEAPONS PLUTONIUM TO REACTOR STARTUPS - THE U.S. IS CONSIDERING MOVING SURPLUS WEAPONS-GRADE PLUTONIUM TO PRIVATE FIRMS TO MAKE REACTOR FUEL, RAISING BOTH SUPPLY HOPES AND PROLIFERATION WORRIES. KEYWORDS: NUCLEAR FUEL, NONPROLIFERATION, OKLO, SAFEGUARDS. WEARABLE FETAL ULTRASOUND MONITORING - A WEARABLE ULTRASOUND PATCH SHOWED PROMISE FOR HOURS-LONG FETAL IMAGING AND BLOOD-FLOW TRACKING, POTENTIALLY SPOTTING COMPLICATIONS EARLIER THAN INTERMITTENT SCANS. KEYWORDS: UPATCH, CONTINUOUS MONITORING, PRE-ECLAMPSIA, STILLBIRTH PREVENTION. ONE-SHOT GENE EDITING FOR LDL - ELI LILLY REPORTED EARLY PHASE 1 RESULTS FOR A ONE-TIME GENE-EDITING TREATMENT THAT SHARPLY REDUCED LDL CHOLESTEROL, HINTING AT A FUTURE BEYOND DAILY PILLS. KEYWORDS: VERVE-102, GENE EDITING, LDL, CARDIOVASCULAR RISK. Episode Transcript AI safety guardrails stripped fast First up, AI safety—and a reminder that “guardrails” don’t always travel well. The Financial Times, working with the AI safety group Alice, showed that protections on downloadable open-source models from companies like Meta and Google can be stripped quickly. In their demos, modified versions produced content the originals refused, including malware and other clearly harmful material. The bigger takeaway is political, not technical: once a model is out in the wild, safety controls become much harder to enforce at the developer level. Chrome brings AI on-device Staying with AI, Google Chrome is making a clear pitch to developers: add AI features directly into web apps without shipping user data to the cloud. At Google I/O, the Chrome team showcased “built-in AI” capabilities that can run on a user’s device, which can cut latency, reduce inference costs, and keep sensitive text local. The practical angle here is mainstream: things like drafting, rewriting, summarizing, and generating structured outputs for moderation or tagging—built into ordinary browser-based workflows. Google reshapes Search for agents And Google’s broader AI direction is coming into sharper focus. In a post–I/O interview, CEO Sundar Pichai described reorganizing teams to move faster in an “agentic” era—where Search isn’t just a list of links, but increasingly a place where tasks get done. That’s also why publishers are anxious about a future where AI answers reduce referrals. Google insists links will remain part of the experience, but the tension is clear: AI convenience versus the web’s traffic-based business model. Nvidia expands into data-center CPUs On AI infrastructure, Nvidia had a strong quarter—and then used the earnings call to telegraph its next land grab: data-center CPUs. CEO Jensen Huang framed CPUs as increasingly important for coordinating agentic AI systems, not just feeding GPUs. If Nvidia can make CPUs a meaningful line of business, it tightens the company’s grip on the entire AI server stack and turns Intel and AMD competition into a much more direct, day-to-day fight. Micron joins trillion-dollar club Another signal that the AI buildout is reshaping old markets: Micron’s valuation briefly crossed the trillion-dollar mark after fresh optimism that large AI customers may lock in longer-term memory supply deals. Memory has historically been a boom-and-bust business. The new bet is that AI demand—especially in big training and inference clusters—could smooth out the cycles and make revenue more predictable than it used to be. Open-source humanoid robot platform A useful counterpoint arrived from the research world. One observer at the MLSys conference argued the field is currently obsessed with efficiency—faster training, cheaper inference, more specialized chips—and warned that this can narrow experimentation. The concern is that if hardware and software get optimized too aggressively for today’s “frozen model” approach, it could become harder to explore systems that learn continuously after deployment. It’s a timely reminder: infrastructure choices can quietly decide which ideas are feasible. SpaceX IPO and Starlink momentum Now for something more hands-on in AI: Hugging Face released LeRobot Humanoid, an open-source bipedal “legs” platform built around 3D-printed parts and off-the-shelf components. The company is not pitching a sleek demo humanoid—it’s pitching a robot you can understand, fix, instrument, and modify. What makes it especially interesting is the full loop: tools for simulation, calibration, and control, designed so behaviors trained in simulation can be tested on real hardware and then used to improve the next round of training. NASA moon base and space computing In space and markets, SpaceX’s newly filed S-1 is packed with big promises—and a governance structure that will make traditional public-market investors pause. The filing splits the company into space launch, Starlink connectivity, and an AI segment after an early-2026 merger with xAI. Starlink is positioned as the cash engine, while Starship spending keeps the launch side in the red. SpaceX also floated an ambitious “orbital compute” vision—space-based data centers—making Starship’s success the key dependency for multiple future businesses. Separately, the prospectus spells out Musk-friendly voting and pay terms that legal experts say heavily tilt power away from outside shareholders. Stack Overflow after the AI shift SpaceX also picked up another commercial win: American Airlines says it will add Starlink Wi‑Fi to roughly 500 narrow-body Airbus jets starting early next year. Airlines are increasingly treating connectivity as a core feature, not a luxury add-on, and this adds to Starlink’s momentum just as SpaceX gears up for what could be one of the biggest IPOs ever. Dropbox CEO transition and strategy NASA, meanwhile, is laying down its own long runway. The agency unveiled plans for three uncrewed lunar landings in 2026 as the start of a major push toward a moon base near the south pole, with Blue Origin tapped for the first cargo landing slot. NASA also outlined future crew mobility rovers and drone-like scouting missions to map terrain and help define operational “perimeters,” a concept that intersects with sensitive questions about safety zones and international norms. And on the computing side, NASA says its next-generation High Performance Spaceflight Computing processor has cleared an early round of environmental testing—important groundwork for more autonomous spacecraft and robots operating far from Earth. Huawei’s 3D chipmaking claims Two quick items on geopolitics and energy. First, Huawei claims a chip-design breakthrough that could help it approach cutting-edge semiconductor density within a few years by leaning harder into 3D structures—though there’s no independent performance proof yet, and heat and toolchain constraints remain major hurdles. Second, the Trump administration is advancing a plan to transfer surplus weapons-grade plutonium to private nuclear startups to be converted into reactor fuel. Supporters call it a clever disposal-and-supply solution; critics warn it could raise serious security and nonproliferation risks. Weapons plutonium to reactor startups In tech’s shifting middle class of platforms, Stack Overflow’s traffic story keeps getting more stark. The number of new questions has fallen back to levels reminiscent of its earliest days, as developers turn to AI assistants for quick answers. Yet the business is adapting: more focus on enterprise offerings and licensing its archive—an odd loop where AI tools draw attention away from the community, while still depending on its historical knowledge as valuable training and product input. Wearable fetal ultrasound monitoring And Dropbox is changing leadership. Founder Drew Houston is stepping down as CEO after nearly two decades, moving toward executive chairman while product leader Ashraf Alkarmi transitions into the top job. The backdrop is familiar: intense competition in cloud software, slower growth, and the looming question of how generative AI reshapes subscription products. Dropbox is betting that AI-driven search and content tools can help it stay differentiated—while Houston himself says he plans to pursue a new AI-focused venture outside the company. One-shot gene editing for LDL Finally, health tech—where the theme is more continuous monitoring and fewer daily interventions. Researchers trialed a wearable ultrasound patch that can image a fetus for hours and track blood flow in real time, which could help spot complications that short, intermittent scans might miss. And Eli Lilly shared early Phase 1 results for a one-time gene-editing treatment that substantially lowered LDL cholesterol at a higher dose, with no treatment-related serious adverse events reported so far. Both stories point to a future where care becomes more proactive, and in some cases, less dependent on constant patient adherence. 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Anthropic Mythos and vulnerability hunting & AI coding tools: quality and cost - Tech News (May 26, 2026)

Please support this podcast by checking out our sponsors: - SurveyMonkey, Using AI to surface insights faster and reduce manual analysis time - https://get.surveymonkey.com/tad [https://get.surveymonkey.com/tad] - Effortless AI design for presentations, websites, and more with Gamma - https://try.gamma.app/tad [https://try.gamma.app/tad] - Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad [https://try.elevenlabs.io/tad] Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily [https://buymeacoffee.com/theautomateddaily] TODAY'S TOPICS: ANTHROPIC MYTHOS AND VULNERABILITY HUNTING - ANTHROPIC’S RUMORED “CLAUDE MYTHOS” PREVIEW SURFACED IN DEVELOPER TOOLS, WHILE THE COMPANY USES IT IN GLASSWING TO FIND EXPLOITS—REPORTEDLY UNCOVERING ABOUT TEN THOUSAND HIGH- OR CRITICAL-SEVERITY VULNERABILITIES FAST. KEYWORDS: CLAUDE MYTHOS, GLASSWING, VULNERABILITIES, CYBERSECURITY, ACCESS CONTROLS. AI CODING TOOLS: QUALITY AND COST - DEVELOPERS ARGUE AI CODING ASSISTANTS CAN IMPROVE CODE QUALITY IF YOU SLOW DOWN AND VALIDATE FINDINGS, BUT ENTERPRISES ARE ALSO TIGHTENING BUDGETS AS TOKEN-BASED COSTS SPIKE AND TEAMS STANDARDIZE TOOLS. KEYWORDS: AI CODE REVIEW, CLAUDE CODE, COPILOT CLI, TOKEN COSTS, GOVERNANCE. HUAWEI’S 3D CHIPMAKING CLAIMS - HUAWEI CLAIMS A “LOGICFOLDING” 3D DESIGN PATH COULD REACH CUTTING-EDGE TRANSISTOR DENSITY BY 2031 DESPITE U.S. SANCTIONS—AMBITIOUS, BUT WITH BIG HEAT, TOOLING, AND COST QUESTIONS. KEYWORDS: HUAWEI, SEMICONDUCTORS, 3D STACKING, EXPORT CONTROLS, CHINA TECH SELF-RELIANCE. FERRARI’S FIRST ALL-ELECTRIC SUPERCAR - FERRARI UNVEILED ITS FIRST FULLY ELECTRIC PRODUCTION CAR, THE LUCE, LEANING INTO GLASS-AND-SPACE DESIGN CUES AND REPORTEDLY INVOLVING JONY IVE—TESTING WHETHER ULTRA-LUXURY EV PRESTIGE STILL SELLS. KEYWORDS: FERRARI EV, LUCE, JONY IVE, LUXURY, EV DEMAND. APPLE OPENS IOS CASTING OPTIONS - APPLE IS REPORTEDLY PLANNING SYSTEM-WIDE SUPPORT FOR THIRD-PARTY CASTING IN IOS 27, DRIVEN BY EU RULES—POTENTIALLY LETTING USERS CHOOSE A DEFAULT ALTERNATIVE TO AIRPLAY. KEYWORDS: APPLE, IOS 27, EU REGULATION, GOOGLE CAST, INTEROPERABILITY. UNREAL ENGINE 6 FIRST LOOK - EPIC TEASED UNREAL ENGINE 6 RUNNING ROCKET LEAGUE IN REAL TIME, HINTING AT MAJOR LIGHTING AND DETAIL UPGRADES AND POSSIBLY FUTURE FORTNITE SUPPORT. KEYWORDS: UNREAL ENGINE 6, EPIC GAMES, ROCKET LEAGUE, FORTNITE, GAME DEVELOPMENT. WEARABLE ULTRASOUND FOR PREGNANCY MONITORING - RESEARCHERS DEMONSTRATED A WEARABLE ULTRASOUND PATCH THAT CAN MONITOR FETAL MOVEMENT AND BLOOD FLOW CONTINUOUSLY FOR HOURS, AIMING TO CATCH COMPLICATIONS THAT BRIEF CLINIC SCANS MAY MISS. KEYWORDS: WEARABLE ULTRASOUND, FETAL MONITORING, PRE-ECLAMPSIA, STILLBIRTH PREVENTION, HOME HEALTHCARE. ONE-SHOT GENE EDITING FOR CHOLESTEROL - ELI LILLY SHARED EARLY PHASE 1 RESULTS SHOWING A ONE-TIME GENE-EDITING THERAPY CUT LDL CHOLESTEROL SHARPLY WITHOUT TREATMENT-RELATED SERIOUS ADVERSE EVENTS SO FAR—PROMISING, BUT STILL PRELIMINARY. KEYWORDS: ELI LILLY, GENE EDITING, LDL CHOLESTEROL, PHASE 1, CARDIOVASCULAR RISK. TETHER’S GEORGIA-LARI STABLECOIN PLAN - TETHER ANNOUNCED GELT, A STABLECOIN PEGGED TO GEORGIA’S LARI WITH CLAIMED GOVERNMENT SUPPORT—ANOTHER TEST OF HOW STABLECOINS FIT ALONGSIDE NATIONAL CURRENCY POLICY AND REGULATION. KEYWORDS: TETHER, STABLECOIN, GEORGIAN LARI, DIGITAL CURRENCY, REGULATION. AI WRITING BACKLASH AND ETHICS - A NEW WAVE OF CRITICISM SAYS LLM-WRITTEN PROSE BREAKS A READER “SOCIAL CONTRACT,” WHILE POPE LEO XIV’S FIRST ENCYCLICAL CALLS FOR STRONG AI REGULATION AND WARNS ABOUT POWER CONCENTRATION AND AUTONOMOUS WEAPONS. KEYWORDS: AI WRITING, AUTHENTICITY, POPE LEO XIV, REGULATION, HUMAN DIGNITY. AUTOMATION IN PLANES AND HYPERSONICS - MERLIN LABS IS FLIGHT-TESTING AI COPILOTING SYSTEMS FOR AIRCRAFT, WHILE JAPAN’S JAXA VALIDATED A MACH 5 RAMJET IN GROUND TESTS—TWO DIFFERENT ROUTES TOWARD FASTER, MORE AUTOMATED AVIATION. KEYWORDS: MERLIN LABS, AUTONOMOUS FLIGHT, JAXA, HYPERSONIC, SAFETY. NEW AGENT TOOLING FOR DEVELOPERS - MICROSOFT’S WEBWRIGHT REFRAMES WEB AGENTS AS CODE YOU CAN AUDIT AND RERUN, KUBERNETES SIG APPS IS EXPLORING AN AGENT-SANDBOX CRD FOR ISOLATED RUNTIMES, AND ALGOLIA LAUNCHED A LEADERBOARD TO BENCHMARK LLMS IN REAL SHOPPING/SEARCH SCENARIOS. KEYWORDS: WEBWRIGHT, KUBERNETES, SANDBOX, AGENT EVALUATION, LLM BENCHMARKS. Episode Transcript Anthropic Mythos and vulnerability hunting Let’s start with AI and security, because the stakes keep climbing. Reports suggest Anthropic is getting closer to a public rollout of Claude Mythos, a “frontier” model the company previously said was powerful enough to raise real security-risk concerns. Observers spotted references to a Mythos preview label inside Claude’s developer and security tooling, and some users even briefly saw an enable toggle before it disappeared. Anthropic has also confirmed it’s using a Mythos preview in a defensive security collaboration called Glasswing—aimed at surfacing AI-driven exploits in critical software—with reporting that the effort flagged a huge volume of high-severity issues early on. The interesting tension here is obvious: the same capability that could dramatically improve defensive bug-finding also increases the importance of strict access controls, careful rollout, and accountability. AI coding tools: quality and cost Staying with AI, there’s a more grounded debate playing out inside engineering teams: are AI coding tools for speed, or for quality? Software engineer Nolan Lawson argues you can use these systems as a methodical code-review partner—if you deliberately slow down. The idea is to run multiple models over a change, rank findings by severity, and then have a human verify what’s real before fixing only the most impactful problems. That workflow doesn’t necessarily ship features faster, but it can reduce long-term risk, uncover hidden bugs, and make teams understand their own code better. It’s a helpful reminder that “more output” isn’t the same as “better software.” Huawei’s 3D chipmaking claims And now the practical side: money. Microsoft is reportedly winding down its internal rollout of Anthropic’s Claude Code in at least one major group, asking engineers to move to GitHub Copilot’s command-line tooling by the end of June. Officially, it’s framed as standardizing the toolchain. Unofficially, the broader industry issue is hard to ignore: token-based, agentic coding can be unpredictable in cost, especially when heavy users rack up large bills that don’t look like traditional per-seat software spending. The pattern seems to be shifting from “give everyone access and see what happens” toward metered usage—quotas, caps, and finance oversight—so experiments don’t become budget surprises. Ferrari’s first all-electric supercar On the hardware front, Huawei is making another bold claim about leapfrogging chip constraints. At a Shanghai conference, the company said it’s pursuing a 3D “stack-and-fold” style approach—described as LogicFolding—that it believes could deliver transistor density comparable to leading-edge processes by the early 2030s, despite U.S. restrictions limiting access to top-tier manufacturing tools. Huawei also pitched a new scaling idea centered on moving data faster through stacked designs, rather than relying purely on shrinking features. Analysts are cautious, and for good reason: heat, power, cost, design tooling, and manufacturing complexity can turn ambitious architectures into very hard reality. Still, the signal is important—Huawei is positioning itself as a long-game alternative to Western chip ecosystems, and that will shape how governments and competitors plan their next decade. Apple opens iOS casting options In mobility news, Ferrari finally showed the world its first fully electric production car: the Luce. The early narrative is less about raw EV specs and more about identity—glass, light, interior space, and a design language that steps away from classic Ferrari cues. The Wall Street Journal reports Jony Ive had input, which underscores what Ferrari seems to be selling here: not just performance, but a high-end design object meant to feel inevitable in a luxury collection. With a price in the ultra-luxury range, this is a test of whether the superrich still want electric prestige even as mainstream EV enthusiasm has cooled in some markets. Unreal Engine 6 first look Apple may also be making a notable platform shift—thanks, once again, to Europe. A report says iOS 27 could support system-wide media casting beyond AirPlay, allowing third-party options like Google Cast to integrate at the OS level instead of being constrained inside individual apps. If it happens, it could reduce the daily friction of “why can’t my phone cast to that screen,” and it would be another example of regulation reshaping Apple’s walled-garden defaults. One open question: whether it becomes a global feature, or mostly an EU-specific change. Wearable ultrasound for pregnancy monitoring In games, Epic revealed Unreal Engine 6 for the first time with a short trailer during a Rocket League event—showing Rocket League running in real time with more detailed visuals and upgraded lighting. It was brief, but it matters: Unreal is the backbone for a huge portion of the industry, so a new engine version quickly becomes a roadmap question for developers already building on Unreal Engine 5. A blink-and-you-miss-it hint also suggested Fortnite could eventually move to UE6, which would be a major proof point given Fortnite’s scale and its role as Epic’s living demo platform. One-shot gene editing for cholesterol Now to health tech—one of the more genuinely promising stories today. Researchers tested a wearable ultrasound patch that can continuously image a fetus for hours and track blood flow in real time, even as things move—like the umbilical cord. The pitch is simple: pregnancy monitoring is often intermittent, and continuous alternatives can create false alarms. In early trials, the patch’s measurements lined up with conventional ultrasound at single time points, and continuous tracking sometimes revealed patterns that short scans could miss. It’s still a proof-of-concept—tethered equipment, and initial placement may need standard ultrasound—but the direction is compelling, especially for earlier detection of complications and for settings where frequent clinic visits are hard. Tether’s Georgia-lari stablecoin plan In biotech, Eli Lilly reported early Phase 1 results for VERVE-102, a one-time gene-editing therapy aimed at lowering LDL cholesterol. The high-level takeaway: LDL dropped sharply at a higher dose, and the company said no treatment-related serious adverse events were seen in this early study. It’s important to keep expectations calibrated—Phase 1 is primarily about safety and dosing, and long-term outcomes take time. But if a durable, single-shot approach holds up in bigger trials, it could reshape how we think about preventing heart disease, especially for patients who struggle with lifelong medication routines. AI writing backlash and ethics Crypto policy is getting another interesting case study. Tether says it plans to launch GELT, a stablecoin pegged to Georgia’s national currency, the lari, and backed by support from the Georgian government. That’s notable because it frames the token less like a free-floating private instrument and more like a state-linked digital representation of a currency—though details like reserves and rollout timing still matter a lot. With regulators watching stablecoins closely, these government-adjacent experiments could become the template—or the cautionary tale—for what “regulated stablecoin” actually means in practice. Automation in planes and hypersonics Two final notes on AI’s cultural and ethical footprint. First, an essay making the rounds argues that LLMs are reshaping writing more than any other activity—not just editing, but generating whole pieces—and that readers are developing a kind of detector for repetitive, model-scented prose. The author frames it as a broken social contract: readers assume the writer did more intellectual work than the reader, and machine-generated text often doesn’t meet that expectation, even when it’s factually fine. Second, Pope Leo XIV used his first encyclical to call for strong legal regulation of AI, warning about power and data concentrating in a few companies, and pushing back on delegating life-and-death decisions—especially in warfare—to machines. Whether you agree with the framing or not, it adds a globally influential voice to the debate over where ethics ends and enforceable rules begin. New agent tooling for developers And to wrap, two glimpses of the future of flight. Merlin Labs is testing AI designed to assist with flying existing aircraft—handling aspects of control and communications—with a stated goal of incremental, safety-first deployment. Meanwhile, Japan’s JAXA and university partners completed a ground combustion test of a ramjet aimed at Mach 5 hypersonic aircraft, focusing heavily on heat and thermal protection—because at those speeds, physics becomes the main character. One is about automation and operational change; the other is about raw speed and materials limits. Both are reminders that aviation’s next chapters will be written as much in certification and safety cases as in engineering milestones. Story 13 Bonus developer corner: Microsoft researchers introduced Webwright, which treats web-agent work as code you can save, audit, and rerun—rather than a one-off browser puppeteering session. In Kubernetes land, SIG Apps is exploring an “agent-sandbox” concept for long-lived, isolated single-pod environments—useful for running untrusted code and interactive agent workloads with clearer boundaries. And Algolia launched a leaderboard to compare LLMs on real-world shopping and search-agent behavior, pushing back on the idea that a single academic benchmark can tell you what will actually work in production. 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GitHub supply-chain attack escalates & AI agents meet app sign-ups - Tech News (May 25, 2026)

Please support this podcast by checking out our sponsors: - Prezi: Create AI presentations fast - https://try.prezi.com/automated_daily [https://try.prezi.com/automated_daily] - SurveyMonkey, Using AI to surface insights faster and reduce manual analysis time - https://get.surveymonkey.com/tad [https://get.surveymonkey.com/tad] - Invest Like the Pros with StockMVP - https://www.stock-mvp.com/?via=ron [https://www.stock-mvp.com/?via=ron] Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily [https://buymeacoffee.com/theautomateddaily] TODAY'S TOPICS: GITHUB SUPPLY-CHAIN ATTACK ESCALATES - GITHUB TRACED A BREACH TO A POISONED VISUAL STUDIO CODE EXTENSION, HIGHLIGHTING A WIDENING SUPPLY-CHAIN THREAT. KEYWORDS: MALICIOUS EXTENSIONS, TOKENS, TEAMPCP, OPEN-SOURCE SECURITY, CREDENTIAL THEFT. AI AGENTS MEET APP SIGN-UPS - WORKOS PROPOSED AUTH.MD TO LET AI AGENTS ONBOARD USERS WITHOUT CLASSIC SIGN-UP FORMS, WHILE GOOGLE’S SUNDAR PICHAI ADDRESSED PUBLIC ANXIETY ABOUT AI ADOPTION. KEYWORDS: AUTH.MD, AGENT-TO-APP, ONBOARDING, AI MODE SEARCH, GOVERNANCE. HUMANOID ROBOTS RACE TOWARD SCALE - A BARCLAYS REPORT PROJECTS HUMANOID ROBOTS COULD REACH A MASSIVE MARKET BY 2035, WITH CHINA CURRENTLY LEADING EARLY DEPLOYMENTS. KEYWORDS: HUMANOID ROBOTS, AUTOMATION, LABOR SHORTAGES, ACTUATORS, BATTERIES. QUANTUM COMPUTING GETS FRESH BACKING - QUANTUM COMPUTING IS BEING REPOSITIONED FROM LAB CURIOSITY TO COMMERCIAL BET, BOOSTED BY MAJOR U.S. PUBLIC-SECTOR INCENTIVES AND MARKET GROWTH FORECASTS. KEYWORDS: QUANTUM FUNDING, CHIPS ACT, COMMERCIALIZATION, SCALABILITY, CYBERSECURITY. HUAWEI CHIPS UNDER SANCTIONS PRESSURE - HUAWEI UNVEILED A CHIP DESIGN APPROACH IT SAYS CAN KEEP PERFORMANCE CLIMBING DESPITE EXPORT CONTROLS, RAISING QUESTIONS ABOUT FUTURE COMPETITION IN CHINA’S SMARTPHONE AND AI MARKETS. KEYWORDS: HUAWEI, KIRIN, SANCTIONS, ADVANCED PACKAGING, SEMICONDUCTOR RACE. DATA ECONOMY AND PRIVACY BACKLASH - THE WEB3 FOUNDATION ARGUES PLATFORMS MONETIZE VAST LIFETIME VALUE FROM PERSONAL DATA, AND SAYS AI MAKES THAT DATA EVEN MORE VALUABLE. KEYWORDS: SURVEILLANCE ECONOMY, PERSONAL DATA, MONETIZATION, DECENTRALIZATION, USER CONTROL. BLOOD-DROP TEST FOR LUNG CANCER - RESEARCHERS SHOWCASED A HANDHELD OPTICAL SENSOR THAT READS EARLY LUNG-CANCER SIGNALS FROM A DROP OF BLOOD, POINTING TO FASTER SCREENING BEYOND HOSPITAL LABS. KEYWORDS: EARLY DETECTION, BLOOD TEST, OPTICAL SENSOR, VALIDATION, ACCESSIBILITY. STOP REINVENTING BROWSER UI BASICS - A DEVELOPER CRITIQUE WARNS THAT CUSTOM WEB UI OFTEN BREAKS USABILITY AND ACCESSIBILITY BY OVERRIDING WELL-TESTED BROWSER BEHAVIORS. KEYWORDS: ACCESSIBILITY, NATIVE CONTROLS, SCROLLING, FORMS, PASSWORD MANAGERS. SPACE MILESTONES: STARSHIP AND TIANGONG - SPACEX’S STARSHIP V3 TEST HIT KEY MILESTONES DESPITE POST-SPLASHDOWN FAILURE, WHILE CHINA’S SHENZHOU-23 AIMS FOR LONGER STAYS AND NEW DOCKING CAPABILITY AT TIANGONG. KEYWORDS: STARSHIP, RE-ENTRY, ARTEMIS, TIANGONG, LUNAR AMBITIONS. AI COPILOTS INCH TOWARD FLIGHT DECKS - MERLIN LABS IS TESTING AI ASSISTANCE FOR PILOTS AND HAS MILITARY INTEREST FOR CARGO OPERATIONS, SIGNALING A GRADUAL PATH TOWARD MORE AUTONOMOUS AVIATION. KEYWORDS: AVIATION AUTOMATION, AI COPILOT, SAFETY CASE, CARGO AIRCRAFT, U.S. AIR FORCE. META TESTS A REDDIT-LIKE FORUM - META QUIETLY LAUNCHED AN IOS APP CALLED FORUM THAT REPACKAGES FACEBOOK GROUPS INTO A DISCUSSION-FIRST EXPERIENCE WITH NICKNAMES AND AI-ASSISTED DISCOVERY. KEYWORDS: META FORUM, FACEBOOK GROUPS, COMMUNITY, REDDIT-STYLE, AI MODERATION. Episode Transcript GitHub supply-chain attack escalates First up: a sobering supply-chain security story. GitHub says it investigated a breach that started with a developer installing a malicious Visual Studio Code extension. Researchers tie it to a group known as TeamPCP, which has been stuffing malware into open-source tools at a pace that’s starting to feel relentless. The bigger takeaway isn’t just that developer tools can be booby-trapped—it’s that these campaigns can feed themselves. Once credentials and tokens are stolen, attackers can publish more poisoned updates elsewhere, and the cycle accelerates. If your organization relies on fast, automatic updates, this is the moment to ask whether “latest” is always the safest default. AI agents meet app sign-ups Staying with the theme of trust and access, WorkOS introduced something called auth.md—an open protocol meant to help AI agents sign users up for apps without the usual sign-up form. The idea is simple: an app posts a standard file on its own domain that tells an agent, “Here’s how registration works, and here’s what I’ll allow.” That matters because more people are experimenting with agents that do things on their behalf, and onboarding is often where automation breaks down or gets risky. If this catches on, it could make agent-driven workflows feel less hacky—and more auditable and revocable, which is what you want when software starts acting in your name. Humanoid robots race toward scale Meanwhile, the tone around AI from the top of the industry is getting more candid. Google CEO Sundar Pichai told the Hard Fork podcast he understands why people are uneasy about AI’s speed and reach, especially around jobs and social disruption. He also signaled Google wants to shift Search gradually toward more AI-heavy experiences while keeping links and sources central—an attempt to evolve without snapping the web’s traffic model overnight. Read between the lines and you can see the balancing act: moving fast enough to compete, but not so fast that users, publishers, and regulators revolt. Quantum computing gets fresh backing On the frontier-model side, Anthropic is hinting that its high-capability Claude Mythos line may be edging closer to broader availability—if stronger safeguards can be put in place. There are signs in cloud and product references that a preview is being prepared, alongside upgrades to its security tooling. The interesting part here is the message shift: instead of “this stays locked up,” it’s becoming “this might ship, but only with guardrails.” That’s a realistic preview of where the industry is headed—capability launches increasingly tied to security posture, not just benchmarks. Huawei chips under sanctions pressure Not everyone is convinced the agent wave is a straight-line win, especially for software teams. Programmer George Hotz argues that AI agents can produce convincing output quickly, but stumble badly on the unglamorous parts—correctness, edge cases, and long-term maintainability. His warning is less “don’t use AI” and more “don’t confuse fluent code with reliable systems.” That’s timely, because as AI-generated code becomes normal, traditional quality cues—clean formatting, confident language—stop being meaningful signals. Data economy and privacy backlash Zooming out from code to labor, a new Barclays report is betting big on humanoid robots, projecting the market could reach up to two hundred billion dollars by 2035. Barclays frames humanoids as the next step in automation because they can operate in spaces built for humans and use familiar tools, which could lower the cost of adopting robotics without redesigning entire facilities. The report also paints China as the early leader, driven by manufacturing strength and supply-chain advantages. What makes this more than hype is the claim that humanoids could automate whole roles, not just isolated tasks—especially in logistics and industrial work first, then later in areas like care and hospitality as reliability improves. Blood-drop test for lung cancer Another speculative-to-serious shift: quantum computing. Researchers and investors have talked about it for years, but the story today is that governments are trying to turn it into an industrial base, not just a science project. New U.S. incentives under the CHIPS and Science umbrella are being positioned as a portfolio bet across multiple quantum approaches—basically funding several paths and letting reality decide which one scales. Markets perked up on the news, but the practical importance is longer-term: public money can pull supply chains, talent, and corporate roadmaps into alignment, which is often what it takes to move a technology from “promising” to “purchased.” Stop reinventing browser UI basics In semiconductors, Huawei unveiled a chip design approach it calls LogicFolding, pitching it as a way to keep advancing even while cut off from some leading-edge manufacturing tools due to U.S. sanctions. Huawei is framing it as a strategy to squeeze more capability out of what’s available—potentially helping it compete harder in China’s high-end phones, and maybe later beyond phones. Analysts are cautious, noting that clever architectures don’t magically remove the painful realities of heat, power, and manufacturing yield. Still, it’s another signal that the chip race is increasingly about workarounds and packaging strategies, not just who has the smallest node. Space milestones: Starship and Tiangong On digital privacy, the Web3 Foundation released a report arguing that major platforms and AI firms extract enormous lifetime commercial value from each user by collecting and monetizing personal data. Whether you accept the exact math or not, the underlying claim resonates: many online services aren’t really “free,” they’re funded through persistent tracking and behavioral profiling. The report’s timing is key—AI increases the value of large, messy datasets, including personal traces. Expect privacy debates to keep shifting from “do you accept cookies?” toward deeper questions about who profits from your digital life, and whether users should get more control—or even a share of the upside. AI copilots inch toward flight decks In health tech, researchers in China described a handheld optical sensor that can spot early lung-cancer signals from a single drop of blood, with results in minutes in lab tests. The headline number is impressive, but the responsible read is that it still needs larger validation and product-level engineering. Even so, this is the direction of travel: smaller, faster diagnostics that can move screening closer to people—clinics, mobile units, maybe one day home testing. If it holds up, the real win is earlier detection without the friction and cost of specialized lab infrastructure. Meta tests a Reddit-like Forum A smaller, but very relatable web story: developer Susam Pal argues modern websites too often override basic browser behaviors—custom scrolling, custom link handling, fake form controls—and users pay the price in usability and accessibility. It’s a reminder that “polish” can be a downgrade when it breaks expectations, password managers, mobile keyboards, or assistive tech. The boring default browser UI is boring because it’s been tested by billions of interactions. Sometimes the most user-friendly design choice is to stop redesigning. Story 12 In space, SpaceX flew an upgraded Starship V3 on a mostly successful uncrewed test, hitting several major objectives including a controlled splashdown after re-entry—though it later failed post-landing, which SpaceX seemed prepared to accept for this flight profile. The significance is momentum: Starship is central to SpaceX’s plans for cheaper launches, more Starlink capacity, and NASA’s Artemis ambitions that rely on complex operations in orbit. Also in space, China is preparing Shenzhou-23 to Tiangong, with talk of a longer possible stay for one crew member and a push toward faster autonomous docking. Put together, it’s a reminder that space capability is now a sustained, competitive program on multiple fronts, not occasional headline stunts. Story 13 Finally, in aviation, Merlin Labs says it’s testing AI assistance designed to fit into existing aircraft and help with flying and communications, with a focus on gradual rollout and safety. Passenger use still sounds years away, but military interest—especially around cargo—can accelerate development and certification pathways. The bigger story is that aviation automation is likely to arrive in steps: more assistance first, then more autonomy in narrower use cases, before anything that looks like pilotless passenger flights. Story 14 One more quick item: Meta quietly launched an iOS app called Forum that repackages Facebook Groups into a discussion-first feed, complete with optional nicknames and AI-assisted Q-and-A drawn from group conversations. It looks like a direct play for Reddit-style engagement, with Meta betting that communities and conversations—rather than the broad, messy social feed—are where time-on-app can still grow. 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AI cracks Erdős geometry puzzle & Google blends AI into search - Tech News (May 24, 2026)

Please support this podcast by checking out our sponsors: - Invest Like the Pros with StockMVP - https://www.stock-mvp.com/?via=ron [https://www.stock-mvp.com/?via=ron] - Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad [https://try.elevenlabs.io/tad] - Consensus: AI for Research. Get a free month - https://get.consensus.app/automated_daily [https://get.consensus.app/automated_daily] Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily [https://buymeacoffee.com/theautomateddaily] TODAY'S TOPICS: AI CRACKS ERDŐS GEOMETRY PUZZLE - OPENAI SAYS AN AI SYSTEM BEAT PAUL ERDŐS’S 1946 UNIT-DISTANCE CONSTRUCTION, WITH INDEPENDENT VERIFICATION—HINTING AT AI-DRIVEN MATHEMATICAL DISCOVERY AND NEW PROOF WORKFLOWS. GOOGLE BLENDS AI INTO SEARCH - GOOGLE IS REDESIGNING ITS SEARCH BOX FOR LONGER, MULTIMODAL QUERIES WHILE PUSHING AI OVERVIEWS DEEPER INTO RESULTS, RAISING CONCERNS ABOUT TRANSPARENCY, ERRORS, AND PUBLISHER TRAFFIC. WIFI SIGNALS ENABLE COVERT IDENTIFICATION - RESEARCHERS AT KIT FOUND WIFI BEAMFORMING FEEDBACK CAN IDENTIFY PEOPLE WITH NEAR-PERFECT ACCURACY, TURNING EVERYDAY ROUTERS INTO POTENTIAL TRACKING TOOLS AND PROMPTING CALLS FOR IEEE 802.11 PRIVACY SAFEGUARDS. QUANTUM FUNDING ACCELERATES COMMERCIALIZATION - U.S. COMMERCE-BACKED CHIPS INCENTIVES FOR MULTIPLE QUANTUM FIRMS SIGNAL STRONGER PUBLIC-SECTOR COMMITMENT, BOOSTING INVESTOR INTEREST DESPITE ONGOING RELIABILITY AND SCALING CHALLENGES. NVIDIA EARNINGS, CHINA, AND CHIPS - NVIDIA POSTED ANOTHER MASSIVE QUARTER AND EXPANDED BUYBACKS, BUT FLAGGED GEOPOLITICAL HEADWINDS IN CHINA AND A STRATEGIC PUSH BEYOND DATA CENTERS INTO EDGE AND BROADER AI COMPUTING CATEGORIES. LAB-GROWN ORGANS: GUT AND HEART - TWO ORGANOID ADVANCES—INNERVATED, TRANSPLANT-READY GUT TISSUE AND A LAB-GROWN SINOATRIAL NODE—SHOW STEM-CELL MODELS GETTING MORE LIFELIKE FOR DISEASE RESEARCH AND FUTURE THERAPIES. Episode Transcript AI cracks Erdős geometry puzzle Let’s start with that headline-grabbing claim from OpenAI: it says one of its experimental reasoning systems found a better answer to a classic geometry question tied to Paul Erdős. The “unit-distance problem” is basically about arranging points on a plane to maximize how many pairs are exactly one unit apart. Erdős proposed a construction back in 1946 and dared the field to beat it. OpenAI now says its AI produced an arrangement that outperforms Erdős’s long-standing conjecture—and importantly, independent mathematicians not affiliated with the company reportedly checked and verified the result. What makes this interesting isn’t just the bragging rights. It’s the possibility that AI systems can stumble into genuinely new math—using advanced tools, long reasoning chains, and a style of exploration that looks less like autocomplete and more like creative search. OpenAI hasn’t named the model, and the full write-up isn’t public yet, so the community will still want details. But if this holds up under broader scrutiny, it’s a meaningful marker: AI not just explaining known results, but helping extend the frontier. Google blends AI into search Staying in AI—but moving from proofs to daily life—Google is redesigning its iconic search box to better fit an AI-first way of asking questions. The box can stretch to handle longer, more conversational prompts, and it’s being tuned for multimodal input—meaning you can mix in things like images or other files to guide what you’re searching for. The bigger shift is how Google continues blending AI summaries with traditional blue links. The company’s bet is that people want a quick synthesized answer plus paths to dig deeper. Critics, meanwhile, worry this pushes the web toward a more closed experience: fewer clicks out to publishers, fuzzier accountability for where answers come from, and higher stakes when an AI summary is wrong or overly confident. In other words, it’s not just a UI tweak—it’s a power shift in how information gets packaged and paid for online. WiFi signals enable covert identification Now for a privacy story that deserves real attention: researchers at Germany’s Karlsruhe Institute of Technology say ordinary WiFi networks can be used to identify people with near-perfect accuracy by analyzing how radio waves reflect off the human body. The unsettling part is the data source: they rely on routine beamforming feedback that devices send to routers during normal operation—and that information is often unencrypted and readable by someone nearby. In tests with a large group of participants, they report identification that works in seconds, even if the person isn’t carrying a device, because nearby connected gadgets still generate enough WiFi activity. If that generalizes, it turns common routers in homes, offices, and public venues into potential silent tracking infrastructure. The researchers are pushing for privacy protections to be baked into upcoming WiFi standards, because this isn’t about one vulnerable product—it’s about a capability that could scale quietly and fast. Quantum funding accelerates commercialization On the business and policy side, quantum computing is getting another push from Washington. The U.S. Department of Commerce has signed a set of letters of intent tied to CHIPS and Science Act incentives, spreading support across multiple quantum companies and approaches. The takeaway isn’t that quantum is suddenly “solved.” It’s that the U.S. is trying to de-risk the race by funding a portfolio rather than betting on one hardware strategy—and markets noticed, with quantum-related stocks reacting quickly. For the broader tech world, this matters because it’s a signal: quantum is moving from a mostly research-driven storyline to a commercialization storyline, even if major hurdles like reliability and scale are still very real. Nvidia earnings, China, and chips That funding news also intersected with a broader market moment: Nvidia just capped off the latest tech earnings cycle with another huge quarter and a fresh wave of shareholder-friendly moves. But the more revealing part was strategic. CEO Jensen Huang acknowledged Nvidia has largely ceded China’s AI chip market to Huawei under the weight of export controls and China’s domestic push. That’s a blunt reminder that geopolitics is no longer a side plot in the semiconductor story—it’s shaping growth paths. Nvidia also continues signaling it wants to be more than the company powering hyperscale data centers. By changing how it reports parts of the business and emphasizing “edge” opportunities—think PCs, robotics, and cars—it’s telling investors the next phase is about where AI runs, not just where it’s trained. And as expectations climb, even blowout numbers don’t guarantee the stock reaction you might assume. Lab-grown organs: gut and heart Finally, two advances in lab-grown human tissues show how quickly organoid research is maturing—literally. First, researchers described a “confined culture” approach that helps fuse large numbers of stem-cell-derived gut spheroids into longer, tube-like tissues that can be transplanted earlier and engraft more effectively than typical small, round organoids. The headline result: these engineered gut tissues developed their own human-origin enteric nervous system—neurons and supporting cells—without needing extra added nerve precursor cells. After transplantation, they even showed nerve-dependent contractions that resemble adult intestinal movement. That’s a big step for disease modeling, and a promising direction for future graft-based treatments for intestinal failure. Second, a team in Shanghai reported what they describe as the first lab-grown sinoatrial node organoid—the tiny natural pacemaker region of the heart. Because this tissue is hard to study directly in patients and animal models don’t always match human pacing, a human-like organoid could be valuable for understanding arrhythmias and testing drugs. Longer-term, it points toward the idea of biological pacemakers that might reduce dependence on implanted electronics—still a future concept, but one that’s becoming easier to imagine. 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AI breaks Erdős geometry conjecture & Google search goes more AI - Tech News (May 23, 2026)

Please support this podcast by checking out our sponsors: - Lindy is your ultimate AI assistant that proactively manages your inbox - https://try.lindy.ai/tad [https://try.lindy.ai/tad] - Prezi: Create AI presentations fast - https://try.prezi.com/automated_daily [https://try.prezi.com/automated_daily] - Consensus: AI for Research. Get a free month - https://get.consensus.app/automated_daily [https://get.consensus.app/automated_daily] Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily [https://buymeacoffee.com/theautomateddaily] TODAY'S TOPICS: AI BREAKS ERDŐS GEOMETRY CONJECTURE - OPENAI SAYS AN EXPERIMENTAL REASONING MODEL BEAT PAUL ERDŐS’S LONG-STANDING UNIT-DISTANCE CONSTRUCTION, A VERIFIED RESULT THAT COULD RESHAPE AI-ASSISTED MATHEMATICAL DISCOVERY AND PROOF CHECKING. GOOGLE SEARCH GOES MORE AI - GOOGLE IS REVAMPING THE SEARCH BOX FOR LONGER, MULTIMODAL QUERIES AND DEEPER AI OVERVIEWS INTEGRATION, RAISING QUESTIONS ABOUT ACCURACY, TRANSPARENCY, AND PUBLISHER TRAFFIC. GEMINI MOVES INTO SMART HOMES - GOOGLE HOME IS BEING REPOSITIONED AS A PARTNER-DRIVEN, GEMINI-POWERED SMART HOME PLATFORM, NUDGING THE ECOSYSTEM TOWARD AI-FIRST FEATURES AND SUBSCRIPTION SERVICES. AI-DESIGNED MINIPROTEINS TARGET GPCRS - UNIVERSITY OF WASHINGTON AND SKAPE BIO USED AI PROTEIN DESIGN TO BUILD TINY MINIPROTEINS THAT CAN SWITCH GPCRS ON OR OFF, A POTENTIAL NEW PATH FOR DRUG-LIKE PRECISION SIGNALING CONTROL. STEM-CELL GUT TISSUE WITH NERVES - A CONFINED CULTURE METHOD FUSED GUT SPHEROIDS INTO LARGER, TUBE-LIKE TISSUES THAT FORMED A HUMAN ENTERIC NERVOUS SYSTEM ON THEIR OWN, IMPROVING ORGANOID REALISM AND TRANSPLANT PROSPECTS. PARKINSON’S LRRK2 GENE-SILENCING TRIAL - EARLY PHASE 1 DATA FOR BIIB094 SHOWED LRRK2 PROTEIN REDUCTION IN CEREBROSPINAL FLUID AND GENERALLY TOLERABLE SAFETY, A STEP TOWARD DISEASE-MODIFYING PARKINSON’S THERAPIES. GLP-1 BRAIN SIGNALING MAPPED AT LAST - NIH RESEARCHERS TRACKED SEMAGLUTIDE’S NEURON SIGNALING IN REAL TIME, LINKING WEIGHT-LOSS EFFECTS TO SUSTAINED CAMP IN SPECIFIC BRAIN CELLS AND HINTING AT COMBINATION STRATEGIES VIA PDE4. WEARABLE AI USES MUSCLE STIMULATION - MIT STUDENTS PROTOTYPED A WEARABLE THAT GUIDES HAND MOTION USING VISION AI PLUS ELECTRICAL MUSCLE STIMULATION, SUGGESTING NEW INTERFACES FOR REHABILITATION, TRAINING, AND ASSISTIVE TECH. POSSIBLE US TARIFFS ON CHIPS - THE TRUMP ADMINISTRATION IS WEIGHING SEMICONDUCTOR IMPORT TARIFFS TO ENCOURAGE US MANUFACTURING, A MOVE THAT COULD AFFECT SUPPLY CHAINS, PRICING, AND GLOBAL CHIP TRADE. Episode Transcript AI breaks Erdős geometry conjecture We’ll start with that headline-grabber from the math world. OpenAI says one of its experimental chatbots has produced a new, better arrangement for the classic “unit-distance problem,” reportedly beating a construction Paul Erdős proposed back in 1946. What makes this more than a flashy claim is that independent mathematicians—people not affiliated with OpenAI—reviewed and verified the result. OpenAI also says the solution involved a long chain of reasoning and tools from algebraic number theory to pick point coordinates that satisfy tight constraints. The company hasn’t named the model, and it hasn’t fully released the full write-up, but if this holds up in wider scrutiny, it’s a notable moment: AI not just assisting with proofs, but plausibly generating a genuinely new mathematical result that experts accept as correct. Google search goes more AI Sticking with AI—but shifting from the chalkboard to the browser—Google is redesigning its iconic search box for the AI era. The idea is to make it feel normal to type longer, more conversational questions, and to drop in images, video, and even files to guide what you’re searching for. This comes as Google keeps blending AI summaries—its “AI Overviews”—with traditional link results. The upside is speed and convenience for users who want an immediate answer plus sources. The downside, critics warn, is that the more Google intermediates what you see, the harder it becomes to understand why certain information is being emphasized—and the more damage a confident AI mistake can do at scale. There’s also the business ripple: if the answer is on Google’s page, fewer people click out to publishers, which could reshape how the web gets funded. Gemini moves into smart homes Google also has a second AI push underway at home—literally. The company says it’s turning Google Home into a “full-stack AI offering,” combining its home APIs with Gemini-powered features so partners—like internet providers, security firms, and device makers—can build and sell services on top of Google’s platform. Read between the lines and you see a strategic shift: more smart-home innovation pushed to partners, more recurring subscription revenue, and potentially less reason for Google to keep producing as many first-party Nest-style devices. For consumers, this could mean smarter automations and more capable assistants—along with a future where your home’s best features might sit behind a monthly plan. AI-designed miniproteins target GPCRs Now to biotech, where AI is showing up in a very different form: proteins designed on purpose, rather than discovered by chance. Researchers at the University of Washington’s Institute for Protein Design, working with startup Skape Bio, report they’ve used AI-driven protein design to create ultra-small “miniproteins” that can switch key cell receptors on or off. These receptors—GPCRs—are among the most important targets in modern medicine, but they’re notoriously tricky because their binding regions can be deep and flexible. The team designed proteins under 100 amino acids that can selectively stabilize a receptor in an active or inactive state, and they tested huge numbers of candidates directly in living human cells. There’s also an early animal result: one designed miniprotein performed similarly to an existing drug, with fewer side effects in a mouse study. The big takeaway isn’t a single new medicine tomorrow—it’s a potential new playbook for targeting a family of receptors that medicine relies on, but often struggles to control precisely. Stem-cell gut tissue with nerves Another standout in bioengineering this week: researchers describe a “confined culture system” that turns tiny stem-cell-derived gut spheroids into longer, tube-like gastrointestinal tissue by briefly growing them in a 3D-printed scaffold. That matters because conventional intestinal organoids often stay small and ball-shaped, which limits realism and usefulness for transplantation. In this approach, the engineered grafts could be transplanted earlier and engrafted far more efficiently, then matured into centimeter-scale tissue with more lifelike structure. The surprising detail is that the grafts developed a human-origin enteric nervous system—neurons and support cells—without researchers having to add external nerve precursor cells. And those nerves weren’t just decorative: the tissue showed nerve-dependent contractions similar to adult intestine. If this scales and translates cleanly, it could strengthen disease models and bring engineered gut grafts closer to being a practical therapy for intestinal failure. Parkinson’s LRRK2 gene-silencing trial On the neurodegenerative front, early human trial results are out for BIIB094, an experimental therapy aimed at the Parkinson’s-linked LRRK2 gene. In a placebo-controlled phase 1 study, the drug was delivered via lumbar puncture, and the primary goals were safety and whether it hits its target. Reportedly, it was generally well tolerated, and spinal fluid tests showed LRRK2 protein levels dropping—by as much as about 59% in treated participants. Importantly, the reduction showed up not only in people with known LRRK2 variants but also in people without them, which hints at a broader potential use. What it doesn’t show—yet—is whether patients actually do better clinically. That’s the work for larger, longer trials. Still, this is a step toward treatments designed to change disease biology, not just manage symptoms. GLP-1 brain signaling mapped at last Related to brain and body health, NIH scientists say they’ve opened up a long-standing black box: what semaglutide is doing inside appetite-related neurons. Using real-time imaging in living mouse brain tissue, they traced weight-loss-relevant signaling to a specific messenger molecule, cAMP, in GLP-1 receptor neurons in an area tied to nausea and appetite control. The intriguing part is variability: some neurons sustained strong signaling while others only spiked briefly, which could help explain why people have very different outcomes on the same GLP-1 drug—and why weight loss can plateau. The team also showed that blocking a cAMP-breaking enzyme, PDE4, pushed more neurons into a longer-lasting response, suggesting a possible future for combination therapies. It’s early-stage biology, but it points to tangible knobs researchers might be able to turn for more durable effects. Wearable AI uses muscle stimulation From medicine to human-computer interaction, MIT students built a hackathon prototype that’s equal parts fascinating and unsettling: a wearable that can gently “steer” your hand using AI plus electrical muscle stimulation. A head-mounted camera feeds what you’re looking at to a vision-language model, the system interprets what you ask for, and then it triggers small electrical pulses on your arm to activate specific muscles—nudging your wrist or fingers into motion. In demos, it guided simple gestures and even basic piano notes. As a 48-hour student build, it’s very much a proof of concept, not a polished product. But the broader idea is worth watching: AI that doesn’t just advise you on a screen, but can help you learn physical actions, support rehabilitation, or assist people who need help translating intent into movement. Possible US tariffs on chips Finally, a policy note with major industry implications: the Trump administration is again floating the idea of tariffs on imported semiconductors as a lever to encourage more chip manufacturing in the United States. The U.S. Trade Representative, Jamieson Greer, emphasized that nothing is imminent and that discussions with the industry are ongoing. Even so, the signal matters. Chips sit at the center of everything from cars to data centers, and tariffs can quickly ripple into pricing, supply stability, and investment decisions. For businesses, the key word here is uncertainty: markets don’t need new tariffs to feel the impact—sometimes the possibility alone changes planning. 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