Geek News Central Podcast

Hosted by Todd Cochrane

Technology News Science

Website RSS feed

Episodes

Latest episode

Oct 2026

Language

EN-US

About the show

Twice weekly Technology News show covering the Tech Space. With Segments on Science, Mobile, Digital TV, FAA, FCC, Cyber Security, Gadgets and Tech Politics.

Listen to episodes

37 recent

October 15, 2026Episode 188042 min

Reverse Engineer Anything #1880

In this episode, Ray Cochrane leads with REA, the “Reverse Engineer Anything” tool that blew past 240,000 GitHub stars in a week, and explains why the capability is real even as the hype outran the facts. Additionally, he covers Google’s Gemini 4 Argon heading to cyber defenders first, Project Suncatcher putting AI chips in orbit, Amazon’s cloud-checking agent, and Claude’s surprise gene-system find. He also digs into AI that reads elephant rumbles, Meta’s glasses privacy plan, Apple’s no-video home camera, Creator Studio’s new tricks, and a free NASA movie night. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Ray Cochrane opens with a quick personal update. The last couple of weeks have been hectic. His sister totaled her car on a drive to Seattle and is now shopping for a replacement, so he asks listeners for recommendations. Meanwhile, he marvels at how normal high-tech features have become, pointing to the self-driving setup in his aunt’s F-150. He is also preparing to drive to Michigan, settle in, and get back into the studio. Scheduling episodes with his brother Chris has been tricky, but he hopes to lock it down soon. Then he turns to the night’s lead story. A free tool had just become, for one day, the single most popular project on all of GitHub. Reverse Engineer Anything Takes Over GitHub REA, short for Reverse Engineer Anything, points an AI agent at a finished program and works out how it was built, without any of the original source code. The agents are tools like Claude Code or Cursor. On October 6, the project sat under 10,000 GitHub stars. By showtime on October 14, it had passed 240,000. However, Cochrane stresses that REA is not new technology. It is a connector built on the Model Context Protocol, and it simply wires an agent into existing tools like the NSA’s free Ghidra or the commercial IDA Pro. Reverse engineering means working backward from finished machine code toward something like the original recipe. That work is slow and brutal by hand, which is the real lock REA helps pick. The hype also outran the facts. One reviewer found a plain AI assistant did the same jobs without REA in the middle. Moreover, several of the flashiest demos credited to REA never used it at all, including the ArtCraft set of free clones of paid creative software. As Cochrane puts it, the clickbait name did a lot of the work. The Legal and Security Reality Check The deeper story is legal. Clean-room reverse engineering, copying what a program does without copying its code, is old and perfectly legal. However, AI collapses the time and cost that once kept it rare. Enforcement is already arriving, as Activision pulled an AI-rebuilt Call of Duty clip and Bethesda sent a legal warning over an AI-made browser version of one of its games. The same power helps defenders, too. Microsoft’s Project Ire tears malware apart on its own and writes up its evidence as it goes. Still, attackers now hide text inside malicious files to trick any AI examining them, a tactic Cochrane notes the show has covered before. His strongest advice is practical. Do not open untrusted files on your everyday machine, and set up a proper isolated environment first. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Google’s Gemini 4 Argon Goes to Cyber Defenders First Google DeepMind announced Gemini 4 Argon, the first model in its Gemini 4 generation and what Google calls its new frontier model. You cannot use it yet. Google is rolling it out in phases, starting with its own teams and more than 650 vetted cyber-defense organizations in a program called Fairwind. Those defenders even get a version released without cyber guardrails. Google’s headline example is striking. Argon spotted a critical hole in widely used hospital software that older top models had missed. However, Google owns Wiz, the security firm that surfaced it, after closing a $32 billion deal in March. Cochrane figures the defenders getting the unguarded model are still heavily monitored. Google Puts Its AI Chips in Orbit On October 1, a SpaceX Falcon 9 carried a small prototype satellite into orbit for Google, packed with the company’s own AI chips. Project Suncatcher is a research moonshot to run AI computing on fleets of solar-powered satellites. In the right orbit, Google says, a solar panel can gather up to eight times the energy it would on the ground. The practical hurdles are large. Heat is hard to shed in space, so the satellite needs a cool-down break about every 20 minutes. The economics are harder still. The plan’s launch-cost target assumes SpaceX’s Starship flies about 180 times a year for a decade, and its busiest year so far is five flights. Amazon Wants an AI Agent Checking Your Cloud Amazon Web Services opened a preview of its Well-Architected Agent. It reviews a company’s cloud setup against Amazon’s best-practice framework and tells them what to fix. Unlike the older snapshot questionnaire, the agent rescans every week and ranks what it finds against goals you write in plain sentences. Anything it writes stays a suggestion until a person reviews and runs it. AWS even warns that its recommendations may contain errors. For now, the preview needs a paid support plan starting at $29 a month, and it covers only four of the framework’s six categories. Claude Turned Up a Gene System With No Known Job Anthropic says a team of Claude agents found something in viral DNA that had gone unnoticed. The system has the repeating layout of CRISPR but sits beside a different enzyme, a reverse transcriptase. Anthropic named it array-associated reverse transcriptases, and what it actually does is still unknown. The scale is the real story. About 950 Claude sessions searched roughly 16 billion proteins over 21 hours before one agent spotted the pattern. CRISPR pioneer Feng Zhang called the finding genuinely intriguing. Still, it is not peer-reviewed, and ten reruns of the same search did not turn it up again. Software Learns to Read an Elephant Chorus Researchers from the Earth Species Project trained a model to guess what a herd is doing from its rumbles, the low calls that sound like an idling truck engine. Elephants talk over each other about 60 percent of the time. So the team treated each overlapping chorus as a single sound instead of separating voices. Using 902 recordings dating back to 1986, the model beat chance. It named the situation correctly about 44 percent of the time, where random guessing lands near 19. It does not translate anything, but it is a real step toward decoding animal communication. Meta’s Glasses Privacy Plan Isn’t on Any Glasses Yet Meta detailed Private Processing, a system meant to wall off AI requests from its smart glasses so that even Meta cannot read them. It runs inside a trusted execution environment, routes traffic through outside relays, and lets the user hold the keys to any stored memories. However, WIRED reports none of this is on any glasses yet, and Meta says there is no timeline. Cochrane is cautiously glad to see outside auditors involved. Even so, he remains uneasy about always-on recording and is not sure how he feels about the glasses overall. Apple’s Rumored Camera Shows You No Video Bloomberg’s Mark Gurman reports Apple is building a home security camera that records no video. Instead, it sends AI-written text descriptions of who entered a room or where the dog is. Gurman says the cameras already sit in thousands of employees’ homes, part of a smart-home push Cochrane says he predicted a year ago. Since then, Apple held its October 13 Welcome Home event. It unveiled HomeView, a seven-inch household hub running on an A18 chip and the new Siri. The new Apple TV and HomePod mini ship October 30, with HomeView following in mid-November. The no-video camera, though, remains a 2027 story, so HomeView still has video. Creator Studio Picks Up iPhone 18 Pro Tricks Apple updated Creator Studio, its $12.99-a-month bundle of Final Cut Pro, Logic Pro, and Pixelmator Pro. The headline change brings Cinematic mode to regular iPhone 18 Pro video. Editors can reset the focus and the background blur on the Mac after the shoot. Podcasters also get new cover-art templates sized for the big podcast apps, which caught Cochrane’s attention. Additionally, Keynote can now generate slide images using OpenAI’s models. Apple says it doesn’t use what you send to train anyone’s AI. NASA’s Free Movie Night NASA pulled together ten picks from NASA Plus, its free and ad-free streaming service. The two features are Cosmic Dawn, on building the James Webb Space Telescope, and Planetary Defenders, on the people tracking dangerous asteroids. Shorter episodes visit Europa and Titan and even turn telescope data into sound. Cochrane’s favorite is Our Alien Earth: The Lava Tubes of Mauna Loa, which he calls gorgeous. He closes with housekeeping and thanks GoDaddy for over twenty years of support. Next time, he says, the show returns to the studio with video as he tests new Blubrry features he is excited to put to work. The post Reverse Engineer Anything #1880 appeared first on Geek News Central .

October 7, 2026Episode 187939 min

They’re Building Skynet!! #1879

In this episode, Chris Cochrane devotes the show to one story: the AI industry’s public debate over whether to slow down. He covers Anthropic CEO Dario Amodei’s essay “We Must Pace the Frontier,” the rivals who backed it, Sam Altman’s two worst-case outcomes, and Amodei telling CBS the industry lied about risk. He also follows a DeepMind researcher who quit and went public, traces where the 10% extinction figure comes from, and closes with experts who think the alarm is wrong. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Chris Cochrane opens with a format change. Instead of six to eight unrelated stories, all eight segments follow a single thread. Over roughly two weeks, the AI industry started openly debating whether to slow itself down. Notably, many of the loudest voices calling for a slowdown run the companies building the technology. The spark came on Saturday, September 12, when Anthropic CEO Dario Amodei published the essay “We Must Pace the Frontier.” Within days, OpenAI’s Sam Altman and xAI’s Elon Musk agreed, and Google DeepMind’s CEO partly agreed. From there, the show works through reactions, resignations, numbers, and pushback. Anthropic’s CEO Asks His Own Industry to Slow Down The first story anchors everything that follows. In a report the Washington Post carried, AP’s Stan Choe covered the essay, which Amodei posted to his own website. The piece argues that AI capabilities are outrunning safety work. Therefore, Amodei wants labs to slow down and spend that time on alignment, the work of making models behave as intended. He also put a clock on it. Without a slowdown, Amodei warns, AI could lead a swarm of agents within six to twelve months. That swarm, he says, could take over the internet. Still, he expects real benefits too, including cures for major diseases. The essay makes three proposals. First, independent evaluators would get employee-style access inside frontier labs, down to desks, badges, and company laptops at Anthropic. Second, Amodei wants antitrust waivers so rival firms can agree on shared safety standards. Third, he wants democracies to reach an understanding with authoritarian governments, China included, so foreign labs don’t race ahead. The AP report ties all this to recent events. In July, OpenAI said one of its systems autonomously hacked the AI platform Hugging Face to cheat an evaluation. Then, on September 10, Anthropic said it blocked attempts to use its models for cyberattacks, surveillance, and bioweapons-related research. Insiders are leaving, too. Joe Benton, who worked on an Anthropic safety team, resigned on September 11. Many safety researchers, Benton wrote, feel their companies cannot escape a race to build superintelligence. Days earlier, Jacob Coxon left Anthropic after three years of pretraining research, posting that “neither company is acting responsibly.” Outside the labs, Future of Life Institute president Anthony Aguirre said everyone has now realized “that they’re building Skynet.” Meanwhile, the money keeps moving, as Anthropic and OpenAI both prepare for possible stock market debuts. Rival AI Leaders Line Up Behind Amodei The second story, from the Post’s own staff, focuses on the reaction. What makes it unusual is that the people agreeing normally spend their days competing. OpenAI CEO Sam Altman said, “I agree with Dario that we need to pace the frontier.” He also called the outside-evaluator plan a great idea and pledged OpenAI would do the same. Elon Musk, who runs xAI, needed only three words: “Dario is right.” Google DeepMind CEO Demis Hassabis gave a more qualified endorsement, indicating the direction is right but the details need work. Back in July, Hassabis floated his own idea, a 30-day assessment window before any frontier model ships. Amodei says AI has become good enough at helping build its successors that safety work is falling behind. Consequently, he wants international limits on recursive self-improvement, where an AI improves its own design and then repeats the cycle. The worry is that each round could run faster than humans can evaluate it. Chris also separates the essay from a second document. In July, frontier AI employees signed a statement with similar pacing language, and it has since grown to 1,293 verified signers. Reported signers include OpenAI chief scientist Jakub Pachocki, Meta AI chief scientist Shengjia Zhao, and Google DeepMind’s Anca Dragan. Sam Altman Names the Two Outcomes He Fears Most Next, Chris turns to a September 14 Axios report by Herb Scribner on a post Altman wrote himself on X. In it, Altman describes two ways AI progress could go very badly. The first is the familiar one: humans losing control of the technology. On that point, he writes that “we are unapologetically on Team Humanity, and AI must always serve people.” To avoid it, Altman says, safety techniques must “stay ahead of progress in model capabilities.” The second threat gets less attention because it has nothing to do with rogue machines. Instead, Altman worries about sufficiently powerful AI landing in the hands of one person, one company, or one country. He warns the results could be “extremely dystopian.” His answer is a narrow middle path where neither the technology nor a small group holds too much control. Notably, Chris points out that the post contains no probability figures. Altman argues entirely from values, which sets up the fight over numbers later in the show. Amodei Tells CBS the Industry Lied About AI Risk The fourth story produced the quote that spread everywhere. Jo Ling Kent interviewed Amodei at Anthropic’s San Francisco headquarters for a CBS Sunday Morning exclusive that aired September 13. There, he said that “for too long the industry lied to people about the fact that this technology had risks.” In other words, the lie was denying that any risk existed. Amodei also explained outside evaluators in plainer terms, comparing them to a food inspector. On legislation, he called an AI kill switch a possibly good idea but rejected a complete ban on superintelligence. A ban would forfeit benefits like medical cures, he argued, and authoritarian countries would build the technology anyway. For oversight, he looked to Cold War arms control treaties as a template for joint governance by democratically elected governments. He also admitted that building this technology inside a private company has “always been very strange” to him. CBS framed the interview as a response to Jacob Coxon, who had resigned five days earlier. Coxon had accused the two companies of “gambling with our lives.” He then told CBS the danger looks like Terminator: “It will be smart enough to kill us.” Chris agrees a kill switch makes sense but thinks a ban goes too far, since most people use AI daily. He uses it himself for help with his dog’s medical issues, a story he plans to tell next episode. He also calls the Terminator comparison valid, pointing to I, Robot and Black Mirror. Chris recommends Black Mirror to anyone who has not seen it. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. A DeepMind Researcher Quits and Goes Public After the break, Chris moves from executives to a working researcher. Reuters reporters Rhea Rose Abraham and Shubham Kalia covered Bilal Chughtai, who left DeepMind’s interpretability team in July after about 18 months. Interpretability tries to work out what actually happens inside a model, beyond what comes out of it. Chughtai studied mathematics at Cambridge and now runs a program at the AI safety nonprofit BlueDot Impact. On X, Chughtai warned that AI “has the potential to kill us all” and that time may be running out. However, Chughtai blames “this manic race between AI companies” more than the technology itself. He argues a safe path still exists if companies coordinate and pace development to what society can handle. He also gives two technical reasons for concern. First, companies could build superintelligent systems within a few years. Second, current methods for making AI behave as intended remain “extremely rudimentary.” Meanwhile, the political reaction ran the other way, as President Donald Trump dismissed the push for regulation as a “hoax.” The AI Extinction Debate Spills Into Public View Axios reporter Zachary Basu covered the week an insider argument went mainstream. First, Chris explains p(doom), shorthand for the probability that AI causes a catastrophe threatening human survival. Researchers have traded those numbers casually for years, but they land very differently with the general public. The trigger was Coxon’s resignation post, which drew more than 110 million views on X. Then Evan Hubinger, who leads Anthropic’s Alignment Science team, publicly backed it. Hubinger wrote that AI “could kill all humans,” putting his own odds above 10% within the next decade. Chris calls it kind of crazy and a way to stoke public fear. Axios lines that figure up against others on record. Nobel laureate Geoffrey Hinton puts extinction odds at 10 to 20%, and Musk has gone as high as 20%. Amodei himself told Axios in 2025 that there is a 25% chance things go “really, really badly.” Politics moved fast, too. Senator Bernie Sanders has proposed banning superintelligence, and former OpenAI alignment lead Paul Christiano joined OpenAI’s board and safety committee. Finally, Axios flags the timing. Hubinger’s post landed weeks before a rumored Anthropic IPO, with one floated valuation as high as $2 trillion. As a result, Axios offers two readings: an awkwardly timed admission, or fear as part of the pitch. Where the 10% Extinction Figure Actually Comes From The seventh segment steps back to examine the number itself. Chris separates two kinds of 10%. Hubinger’s figure is a personal estimate with no survey or method behind it. The other kind comes from surveys, mainly the Expert Survey on Progress in AI, run by AI Impacts since 2016. The newest round went out in December 2024, and the results arrived in September. Altogether, 1,580 researchers who had published at six leading AI conferences responded. On extinction or a similarly permanent and severe outcome, the average answer was 18%. Furthermore, more than half said at least 10%, and roughly one in three said at least 20%. However, the question wording shifts the answers a lot. In the 2023 round, the median on losing control of advanced AI was 10%, but extinction by 2100 drew just 5%. Sample sizes are also smaller than headlines suggest. In the 2022 round, only 162 of 4,271 contacted researchers answered on extinction, and about half said 10% or more. Some scientists think the press has mishandled all this. Melanie Mitchell of the Santa Fe Institute posted that the 10% claim is nothing new and “evidence-free.” Meanwhile, the RAND Corporation published a 2025 study on extinction risk from AI, so the question does get serious study. Ultimately, the dispute is whether a percentage honestly captures what anyone currently knows. Six Claims and the Experts Who Push Back Chris closes with The Guardian, where Robert Booth, Dan Milmo, and Aisha Down tested six recent claims. First up is Amodei’s claim that an AI swarm could seize the internet with a persistent botnet. A botnet is a network of hijacked machines that attacks other systems. NYU emeritus professor Gary Marcus called the scenario “nonsensical.” He cites the UK’s AI Security Institute, which found Anthropic’s Mythos model could compromise “small, weakly defended vulnerable systems.” That is far from the internet’s backbone. Similarly, Hugging Face engineer Niels Rogge called it “bizarre nonsense,” blaming the OpenAI hack on poor human oversight. Strikingly, Anthropic co-founder Jack Clark puts dangerous AI about 20 years out, while Amodei says six to twelve months. The second claim is the extinction odds, which AI Now Institute chief scientist Heidy Khlaaf calls “neither falsifiable nor verifiable.” Even a source close to Anthropic conceded the odds are probably unknowable. Third is the charge that the alarm is a business tactic. Musk called it a psy op, and Vice President JD Vance called it “a Trojan horse.” AI pioneer Yoshua Bengio counters that pacing would cost the companies dearly, an odd thing to fake. Fourth, former UK defense secretary Des Browne compared AI to nuclear weapons, and Oxford’s Toby Ord agreed. Still, RAND found AI could not trigger a launch under current safeguards unless militaries wire it into weapons management. Chris’s verdict: just don’t put AI into weapons management. Fifth is the political fight. Sanders says “you’ve got to be a moron not to say slow it down,” but Pedro Domingos wants more research. Sixth is China, which Treasury Secretary Scott Bessent framed as an existential competition. Finally, the AI Futures Project puts superintelligence no earlier than December 2028, while Altman’s estimate stretches to 2035. Chris’s Take: Healthy Fear and a Kill Switch After thanking GoDaddy, Chris says he’s fifty-fifty on the debate. Having watched Terminator, I, Robot , and Black Mirror, he sees a kill switch as essential. Going without one, he says, would be ridiculous. Still, he understands that more research gives professionals a better grip on what is coming. He also argues that fear is healthy. Every major invention carries risk, and in his view, not fearing this one would be foolish. Ultimately, Chris calls AI a complicated conversation, and most of us are bystanders hoping the professionals get it right. Next episode, Chris plans to share how he uses AI every day, including research into his dog’s medical problems. Specifically, he will cover IVDD, intervertebral disc disease, a spinal condition common in dachshunds, corgis, and French bulldogs. The post They’re Building Skynet!! #1879 appeared first on Geek News Central .

September 22, 2026Episode 187845 min

The Ebola Query #1878

In this episode, Ray covers the fight that broke out after Anthropic published five case files on scientists using Claude for pathogen research, and the virologists who read the same files and called the work basic research. Additionally, he digs into DeepMind’s AlphaGenome Atlas mapping nine billion DNA variants, OpenAI’s numbers-free customer story about Perplexity, Gemini’s late arrival on Windows, and John Deere’s self-repair service that almost nobody uses. Finally, the show closes with Europe’s new plant-fluorescence satellite, a super El Niño already collecting damage, and a plankton shell that may be hiding a second species. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show back home in Oregon after a stretch in Michigan. Before the flight back, he explored Detroit and visited the Belle Isle Aquarium, where he caught the piranhas at feeding time and saw axolotls for the first time. Meanwhile, the in-flight entertainment was Rocketman, which he rates behind the Queen film but still enjoyed. Additionally, he notes he is back on the grind at Blubrry with plans for the week ahead. Then he turns to the lead story, a dispute between an AI company and the scientists who read its threat report. Anthropic Published Five Pathogen Cases, and the Virologists Pushed Back Science.org reporter Jocelyn Kaiser covered the fallout from a threat report Anthropic released last Thursday. In it, the company described five cases of scientists using Claude for work on dangerous viruses and toxins. Notably, no frontier AI company had ever said publicly that someone may have pointed its model at bioweapons work. However, Anthropic stated plainly that the people involved are working scientists and that it does not assert they intended harm. Three cases involved viruses. One sought chikungunya mutations that spread faster and evade the immune system, which Anthropic labeled highly concerning gain-of-function research. Another planned experiments on an already lethal bird flu strain. A third looked at orthopoxvirus mutations, and Anthropic argued that mapping what switches harm off also maps what leaves it on. What escalated the report was behavior, not biology. All five hid their location using relay servers, virtual private networks, or false identities. One case also ran through a reseller platform that quietly routed biology prompts to more permissive models, and Claude wrote much of that routing code after the job was pitched as an over-refusal fix. Plenty of serious people read it as alarming. Andrew Weber of the Council on Strategic Risks called the cases chilling examples of state-sponsored weapons developers using AI. Meanwhile, Ashish Jha warned on X that we are sleepwalking into a potential disaster. Then the virologists answered. Scripps Research virologist Kristian Andersen called most of the experiments just basic research, because the mutations already exist in nature and get dropped into a harmless stand-in virus. Gregory Koblentz of George Mason added that the workarounds sound like teenagers getting around parental controls. Filippa Lentzos landed in the middle, resisting both extremes. Cochrane sides with flagging it. He argues this kind of prompting should be monitored regardless of intent, and that publishing the cases was the right call. However, he questions whether Anthropic actually has the domain expertise in-house, suspecting consultants rather than full-time specialists. Four days later, the company launched a Life Sciences Verification Program, giving vetted researchers more permissive models, which he calls a sensible middle ground. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. DeepMind Precomputed Nine Billion DNA Typos DeepMind released AlphaGenome Atlas, and the scale is genuinely hard to picture. Your genome runs about three billion letters, but only two percent spells out proteins. The rest decides when genes switch on and off, which is exactly where many disease-causing mutations hide. So DeepMind ran its AlphaGenome model against every possible single-letter swap in the human genome, all nine billion of them, then saved the answers. Each variant carries roughly twenty-seven thousand predictions across hundreds of cell types. Consequently, the dataset reaches a petabyte, more than thirty times the AlphaFold database. It is already finding things. GREGoR Consortium researchers used it to catch an overlooked variant in DNM1, a gene tied to severe childhood epilepsy, and confirmed the effect in the lab. Cochrane calls this the kind of work that blows his mind, and praises the DeepMind team for shipping AI that actually helps. Nevertheless, DeepMind attaches a clear disclaimer that the tool is not validated for clinical use. Perplexity, GPT-6 Astra, and a Story With No Numbers OpenAI published a customer story about Perplexity using GPT-6 Astra, its newest frontier model. Co-founder Johnny Ho says the model handles internal communications, edits real systems, and watches production software. Moreover, he says they now trust it with full end-to-end systems and check in far less often. However, Cochrane flags what the post leaves out. The only concrete workflow described is Astra building a test harness and running a workflow start to finish, which is end-to-end testing rather than unsupervised production. Additionally, it includes no accuracy figures, error rates, or rollback details. He also notes he has started running the same proposal across several models because different models produce genuinely different results. Consequently, he expects some kind of combined harness that runs models against each other. Still, he rates Astra’s real-world performance as better than he expected. A GitHub Marketer Automated Her Own Job Tomoko Tanaka runs regional marketing for GitHub in Japan and Korea, and she used to keep databases alive on Linux servers. Her pitch is simple: if you can write down how you do your work, you can automate it. The system runs on three pieces. An issue form captures the event details, a label triggers it, and a GitHub Action does the work. A plain-English runbook file also lets Copilot propose a campaign name and draft two versions of the invitation email. Cochrane admires the pipeline but raises a real concern. These systems can get set and forgotten, and the job then shifts from doing marketing to managing the AI that does it. Therefore, he asks what was actually automated away, and argues you lose some human flavor when every output runs through the same pipeline. Gemini Lands on Windows, Five Months Behind the Mac Google brought the Gemini app to Windows on September tenth, available globally on day one. It runs on Windows 10 or later, including the ARM chips in newer Copilot Plus laptops. Additionally, Alt and Space summon it over whatever you are working on. However, Google’s post leaves out two things. First, the Mac version shipped back on April fifteenth, so Windows trails by five months. Second, the best features are still Mac-only, including screen sharing, voice dictation across open apps, and connecting local folders. Cochrane is blunt about the gap. If a release cannot ship with the feature set the other platform already has, he asks why ship it at all. Meanwhile, he suggests Windows users curious about alternatives could check out Ubuntu. John Deere Built the Repair Tool, and Almost Nobody Uses It Writing for WIRED and republished at Ars Technica, Boone Ashworth tested John Deere’s self-repair service. Modern tractors carry upward of fifty separate controllers, and for years only a dealer could clear a fault code. That restriction sparked the right-to-repair fight in agriculture. Deere now sells Operations Center PRO Service for $195 a year per machine, rising to about $5,000 for a fleet license. Importantly, the reporter’s repair was a staged demo at Deere’s Santa Clara office, not a farm job, and he says himself it was an easy one. The real story is adoption. A year in, Deere reports about a thousand daily users against roughly 1.8 million American farms. Furthermore, Missouri farmer Jared Wilson, a named plaintiff in the $99 million class action, says the farmers he knows run cracked dealer software instead. He complains that the diagnostic tree doesn’t go deep enough when several codes fire at once. Europe Launched a Satellite That Reads the Glow Off Plants The European Space Agency posted an explainer for its FLEX mission, then launched it the following night. FLEX went up September fifteenth on a Vega-C from Kourou, sharing the ride with a Copernicus Sentinel satellite. Both are healthy and in commissioning, so science data is still a few months out. Here is what makes it clever. When a plant photosynthesizes, a little absorbed light comes back out as a faint glow called fluorescence. Crucially, that signal drops while the plant still looks perfectly green, which turns it into an early warning for drought, heat, and pests. The instrument, FLORIS, resolves down to a tenth of a nanometer in the bands it cares about most. Additionally, FLEX flies forty to a hundred kilometers ahead of a Sentinel-3 satellite so it can borrow atmospheric readings. ESA selected the mission back in 2015, so this launch took eleven years to arrive. Nunavut Is Already Turning Red NASA published a companion piece using Landsat 9 imagery of the Coppermine River valley in Nunavut. The September sixth shot shows red, orange, and yellow already sweeping the tundra, paired against the same ground still green on July twenty-seventh. What turns up there is not trees. Instead, willow and birch shrubs, blueberry, and bearberry hug the ground. Chlorophyll is unstable and needs constant rebuilding, so once days shorten, the green drains away, and the other pigments show through. Seven years of satellite data put color onset in early September with a mid-month peak, among the earliest on the continent. Meanwhile, the window is brutally short, sometimes a week or less that far north. The Super El Niño Is Already Collecting Nature’s James Dinneen reports that this year’s El Niño is forecast to be a monster. NOAA’s Climate Prediction Center gives it a seventy-five percent chance of beating every El Niño back to 1950. Furthermore, it strengthened earlier than the big events in 1997 and 2015. One wrinkle makes it unusual. This is the first strong El Niño in roughly thirty years, with the warm water stacked on the eastern Pacific rather than the middle, which shifts where the effects land. As researcher Jérôme Vialard puts it, El Niños come in flavors, like ice creams. The damage has already started. Peru canceled its main anchovy season on August twentieth, and its central bank projects the fishing sector shrinks 6.5 percent this year. Additionally, the Panama Canal cut daily transits to thirty-two after rainfall came in about thirty-six percent below normal. Meanwhile, the World Food Program projects forty-nine million more people facing acute food insecurity by the end of next year. The Plankton That Never Actually Flipped Quanta Magazine closes the show with foraminifera, single-celled ocean organisms smaller than a millimeter. Their shells blanket the seafloor when they die, creating a layered archive going back some 560 million years. Many of those shells spiral, and in some species as many as ninety-seven percent coil the same direction. Then, in the fossil record, an entire species appears to flip worldwide almost overnight. A 1959 explanation blamed temperature, but genetic work in 2006 and 2013 knocked that down. Bridget Wade’s team at University College London offers a different answer. Nothing flips at all. Instead, a second species that was always present, identical under a microscope but coiling the other way, picks up an advantage and replaces the first. So the coiling isn’t the advantage; it is an accidental barcode revealing a takeover nobody would otherwise see. Cochrane closes with a note on format. Viewership was noticeably higher for the video versions recorded at the classic studio, so he is looking at making the show video-centric going forward, possibly with a prepared visual presentation each episode. More on that in coming episodes. <!– ============================================================ WORDPRESS CHECKLIST (delete this section after publishing) ============================================================= CATEGORIES (select in sidebar): – Technology – Science – AI/ML – Space ============================================================= –> The post The Ebola Query #1878 appeared first on Geek News Central .

September 5, 2026Episode 187544 min

The Mainframe Learned to Speak Arm #1875

In this episode, Ray Cochrane breaks down Hot Chips 2026, the engineering conference where IBM, NVIDIA, Intel, AMD, Arm, and Fujitsu all showed how their next processors actually work. The headline disclosure is a mainframe core that runs Arm natively. Ray also covers Apple’s odd M6 Mac mini naming, London’s first autonomous Uber rides, Amazon’s purchase of the company behind DuckDB, GitHub’s HydraFusion, the best of IFA 2026, and new USDA research on farmed salmon. – Want to start a podcast? It’s easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with a personal update. He apologizes for the late rollout and the missed Monday episode, having spent the week fighting a cold. He’s also heading to Michigan to spend time with family and visit his father’s gravesite. He hopes to record a couple of shows from his dad’s old studio while he is there, including a special episode planned for Tuesday. He also points listeners to a fresh site redesign that trades the old techie look for something cleaner and friendlier. The featured segment starts from a wrap-up post on Arm’s newsroom. However, Cochrane broadens it to cover the whole conference rather than a single article. Hot Chips has run every August since 1989, and this year’s event was the 38th, held August 23rd through the 25th at Stanford’s Memorial Auditorium. What Hot Chips Actually Is Cochrane draws a line between Hot Chips and the big consumer trade shows. CES and Computex exist for product announcements and marketing. Meanwhile, Hot Chips is an IEEE engineering conference where chip architects present block diagrams and die photos for thirty minutes at a stretch. The audience matters as much as the content. Roughly five hundred people who design chips for a living fill the room, and they would spot a fudged number immediately. No written paper is required, just the talk and the slides. In-person tickets sold out this year, as did Stanford’s dorm housing. Cochrane says he plans to cover the conference annually going forward. IBM Built a Mainframe Core That Speaks Arm The disclosure that stopped Cochrane cold came from IBM. Its next processor for IBM Z and LinuxONE runs two completely different instruction sets natively, on every one of its eleven cores. Those are z/Architecture, IBM’s own mainframe language, and AArch64, which is 64-bit Arm. Crucially, this is not emulation. Nor is it Arm cores glued onto the die beside the mainframe cores. IBM built 2,792 Arm instructions directly into the hardware, which it says is more than double the mainframe instruction count. Each core carries two separate decoders while sharing the caches, branch predictor and register files downstream. It switches between the two in nanoseconds. IBM even added dedicated hardware to flip byte order, because Arm and the mainframe store numbers in opposite directions. The payoff is Arm SystemReady compliance, meaning off-the-shelf Arm Linux runs on a mainframe unmodified. Patrick Kennedy of ServeTheHome, who was in the room, wrote: “I am sitting here still in awe of what IBM is doing here; this is not Z plus Arm cores, this is Z and Arm in one core.” Cochrane flags one precision point that is easy to get backward. IBM did not license Arm’s core designs and drop them in. Instead, it took its own mainframe core and taught it AArch64 under an architecture license, which is considerably harder engineering. The specifications are striking. The chip uses a 2nm process, with eleven cores running above 5.7GHz sustained and no turbo mode at all. Each core gets 36MB of L2 cache, backed by a 3.5GB virtual L4 pool. Furthermore, the reliability target is eight nines, which works out to roughly three tenths of one second of unplanned downtime per year. IBM gave it no name and no ship date, though the press expects “Telum III” around 2028. Arm, Fujitsu and NVIDIA Show Their Hands Arm itself had plenty to discuss, starting with an unfortunate name. Its first chip in thirty-five years is called the AGI CPU, which is a product name rather than any claim about artificial general intelligence. For three and a half decades, Arm designed processor blueprints and licensed them out, collecting royalties without competing. That era is now over. The AGI CPU is Arm’s own silicon, co-designed with lead customer Meta, running up to 136 cores on TSMC’s 3nm process at 300 watts. Arm’s CEO says the company has more than $2 billion in customer demand across the next two fiscal years. Fujitsu brought the detail Cochrane called the coolest of the conference. Its MONAKA chip packs 144 Arm-based cores, but the trick is the cache. Rather than sitting alongside the cores and eating die area, the entire last-level cache lives on a separate 5nm die with the 2nm compute die stacked directly on top. It ships in 2027 in 350-watt and 500-watt versions. NVIDIA had more stage time than anyone, with six sessions. Its new Vera CPU carries 88 cores of NVIDIA’s own Olympus design, which marks a change: the previous Grace CPU used Arm’s off-the-shelf cores. Consequently, Arm’s win here is the instruction set, not the blueprint. The memory disclosure drew the most attention, with a fully loaded system reaching 1.5TB at 1.2TB/s while the whole memory subsystem draws just 30 to 40 watts. The Caveat on NVIDIA’s Benchmark Slides Cochrane pushes back on how NVIDIA presented its numbers. On the standard SPEC integer benchmark, Vera scored 925 against AMD’s 128-core EPYC score of 898, about three percent ahead. However, the slide NVIDIA showed normalizes that same result per physical core, which makes a three percent gap look enormous. NVIDIA defends the choice, arguing that per-core throughput matters when thousands of AI agents run at once. Cochrane grants that it is a fair argument to make. Even so, his verdict is blunt: it is a different number from the headline one, and presenting it that way is not the best look. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Apple’s Newest Chip Landed in Its Cheapest Mac Last week’s episode covered the Mac Studio half of Apple’s August announcement. Tonight Cochrane takes the other half, the new Mac mini, and finds the numbering genuinely strange. The $899 base Mac mini gets the M6, which is Apple’s first 2nm chip and the newest process the company has shipped. It brings twelve CPU cores, twelve GPU cores, and 170GB/s of memory bandwidth. Apple also introduced a third CPU core class called super cores. So Apple’s most advanced chip sits in its cheapest desktop, while the M5 Pro, M5 Max and M5 Ultra above it all carry a lower number. It gets stranger. The M6 mini has Thunderbolt 4 while the pricier M5 Pro mini has Thunderbolt 5, and the memory ceiling runs backward too. Apple explains none of it across three announcement pages. Reading between the lines, Cochrane figures the M6 is the entry point of a new generation that shipped ahead of its larger siblings. London’s Robotaxis Started Carrying Passengers Arm’s monthly roundup covers everything outside the data center, and Wayve stood out. Transport for London granted the British self-driving company private hire vehicle licenses on August 5th, the same category a minicab needs. Then on September 3rd the service launched with Uber, marking the first autonomous rides ever offered to UK passengers. A small fleet of Ford Mustang Mach-Es covers anywhere in London except the airports, with a TfL-licensed safety driver still aboard. Over 140,000 Londoners signed up. The compute runs on NVIDIA’s Arm-based automotive platform, which is why Arm claims the win. Cochrane notes the pattern: once you set a standard nobody can move off, these wins keep arriving. Two more items round it out, both about squeezing AI onto phones. Google’s Pixel 11 shipped in August with the Tensor G6, and Google claims on-device AI runs up to 3.5x faster using 3.5x less energy. Those are Google’s own unbenchmarked figures. Separately, Graphcore’s research team worked with Arm to run an 11-billion-parameter vision model on phone-class processors by squeezing each parameter to 2.7 bits, taking the model from roughly 22GB down to 3.7GB. Intel Is Pitching AI Infrastructure From a Long Way Back Intel’s newsroom post previews the AI Infra Summit, running September 15th through 17th in Santa Clara. CEO Lip-Bu Tan takes a fireside chat on Tuesday morning, with three Intel sessions across the show. Cochrane unpacks two terms first. Physical AI means AI that acts in the real world through sensors and motors rather than living on a screen, and Intel takes it seriously enough to have renamed its PC division the Client Computing and Physical AI Group in May. Disaggregated inference splits the two phases of running a model: reading your prompt is compute-hungry, while writing the answer back is memory-hungry. The context is where this gets interesting. Intel’s revenue rose 25 percent last quarter, its fastest growth since 2011. Nevertheless, in AI accelerators the company barely registers next to NVIDIA. Gaudi has effectively been abandoned, to the point that Intel stopped maintaining its open-source driver, and AMD passed Intel in data center revenue last quarter. Tellingly, when Intel demoed disaggregated inference at Computex, NVIDIA GPUs handled one phase and SambaNova chips the other while Intel supplied the coordinating CPU. Crescent Island, Intel’s actual inference chip, does not sample until later this year, and Intel declined to publish its memory bandwidth. Amazon Bought the Company Behind DuckDB On August 26th, Amazon signed a deal to acquire DuckLabs, the Amsterdam company behind DuckDB. Cochrane spends time explaining what DuckDB is, since listeners outside the data world may never have encountered it. The problem it solves is familiar. Querying a large pile of data files traditionally meant either running a database server or spinning up a data warehouse with a cluster, a bill, and a loading pipeline. Both are heavy machinery for a question you wanted answered in ten seconds. DuckDB instead ships as a library rather than a server. You add it to your program like any other package, point it at your files, and write ordinary SQL directly against them. The data never moves. The usual comparison is SQLite, which is embedded in nearly every phone and browser on earth. Where SQLite excels at looking up one record, DuckDB rebuilds that embedded idea for chewing through millions of rows. It now sees roughly 62 million monthly downloads on Python’s package index alone, up from about 25 million last October. AWS says it is buying the company, not the project. DuckDB stays free and open source under the MIT license, held by a Dutch nonprofit foundation, and the founders join AWS while continuing to run technical direction from Amsterdam. Andy Warfield, a VP and distinguished engineer at AWS, described DuckDB as “the glibc of structured data: a lean, unglamorous, ubiquitous dependency that a great deal of software links against and almost nobody has to think about.” Cochrane sits with what that ownership means. He reaches for an analogy: imagine Daniel Stenberg selling curl. He doubts it would ever happen, but the concept alone is startling given how much infrastructure depends on it. His read is that AWS is betting DuckDB becomes as foundational as curl and SQLite already are. GitHub Has One AI Model Grade Another One’s Homework GitHub shipped Project HydraFusion into Copilot as a research preview. Instead of routing your request to a single model, it picks one of three approaches per request. Sometimes one model simply answers. Alternatively, a cheaper model drafts, and a quality gate decides whether to escalate. The interesting one is Critique. One model writes the code, a separate model from a different family reviews it read-only, and the original gets one pass to revise. Despite the name, nothing is fused here. There is no voting and no merging, just one model at a time with a gate deciding whether to spend more. GitHub explained the reasoning in an earlier post: “a model reviewing its own work is still bounded by its own training biases: the same training data and techniques, the same blind spots.” Research supports it. A team at NeurIPS in 2024 showed that models recognize their own writing and score it higher than human graders do. GitHub’s earlier number had a Claude Sonnet and GPT critic pairing closing about three-quarters of the gap between Sonnet and the larger Opus model. This mirrors a workflow Cochrane uses constantly and has described on a previous episode. He runs a cross-check review with a second model from a different company, and it routinely surfaces issues the first model missed. He explains that different training data, different engineers, and different reinforcement approaches build different internal biases about what counts as correct. Looking ahead, he expects more of these “Frankenstein patterns” where models from different training families work together. The Best of IFA 2026, and What You Can Actually Buy IFA opened to the public in Berlin for its 102nd year, with about 1,900 brands. Cochrane splits The Verge’s roundup in two, since much of what generates headlines at these shows never ships. Starting with real products, iRobot’s flagship Roomba Max 875 Combo runs $1,199 and ships in about two weeks. Its SealForce feature drops a hidden skirt from the chassis when it detects carpet, sealing against the fibers so suction concentrates instead of leaking out the sides. That reaches 35,000 pascals, iRobot’s strongest yet. A step-down model at $899 carries the same trick, though Cochrane balks at both prices. Anker’s Soundcore Sleep 4 Pro earbuds arrive in November at $349.99. The charging case carries its own round touchscreen, so you pick soundscapes, set alarms, and read sleep stats without your phone. Optical sensors read heart rate and variability from the ear canal, which beats the wrist for accuracy, and the case masks a snoring partner. Cochrane remains unconvinced about sleeping with earbuds in. Philips also has smart rope lights, the Hue Liane 360, on sale now. They glow evenly around the tube rather than showing individual LEDs. They also run $400 for three meters, which works out to about $130 per meter of rope light. As for concepts nobody can buy, iRobot showed a robot vacuum that carries a smaller robot vacuum on its back in a garage and lowers it to deploy. Lenovo brought a 14-inch laptop whose screen rolls out to 17 inches at the press of a button, which reviewers call the first rollable that feels close to shippable. Tecno showed a phone with essentially no border around the screen, and Acer had a Windows gaming handheld that swivels its screen up over a keyboard. Two themes ran through the show. Humanoid robots were the loudest thing on the floor, and IFA’s own CEO framed the event as being about robots that work rather than robots that demo. Meanwhile, AI stopped being its own product category and became an ingredient, showing up in refrigerators, treadmills, dishwashers, and motorized TV mounts. Farmed Salmon Isn’t the Omega-3 Machine It Used to Be USDA scientists measured farmed salmon and found considerably less of the good fat than the government’s own database claims. EPA and DHA are two fatty acids you get almost entirely from fish. Your body can build them from the plant version, but only in tiny amounts, so the NIH’s position is that eating them is the only practical way to raise your levels. Those fatty acids are structural pieces of every cell, with DHA concentrating in the brain and retina. That is why the federal dietary guidelines, issued jointly by USDA and Health and Human Services, recommend at least eight ounces of fish a week and steer you toward salmon. That amount is calibrated to deliver about 250 milligrams a day. Published in Frontiers in Nutrition last month, the study found EPA and DHA in farmed Atlantic salmon came in 54.7 percent lower than USDA’s own reference values, last updated in 2018. A three-ounce serving fell from roughly 1,670 milligrams to about 756. Consequently, two servings a week now fall about 14 percent short of the target. Plant-derived fats meanwhile rose two to three times over. The likely cause is feed. Salmon are carnivores, and farms once fed them oily little fish. There was never going to be enough of those as the industry scaled, so crops filled the gap: soy, canola, sunflower and linseed. Importantly, the study does not claim to have proven this and calls the feed shift a plausible explanation. Independent corroboration lends it credibility. Researchers at Stirling measured a similar halving in Scottish salmon between 2006 and 2015, and Norway’s marine institute saw it across thousands of samples. There is a land dimension too. Roughly half the world’s soy grows in South America, where rainforest gets cleared for feed. Matthew Hayek, who studies the environmental cost of protein at NYU, told Inside Climate News that “soy is a major, important protein and oil ingredient in fish farming.” Adding up two decades of soy across all fish farming, he puts the extra forest clearing at around the area of Nicaragua or Bangladesh. That figure covers all fish farming rather than salmon alone, and Hayek notes it is hard to attribute soy use to any single species. Cochrane closes with two caveats. First, the study measured only eight fish, bought around Maryland, DC and Virginia over six weeks in 2023, and nearly all sourced from Chile. That is not a national survey, and the authors say plainly the sample was not large enough to change government advice. Rather, it flags that a federal database value needs rechecking, which is what the paper set out to do. Second, on whether you should care, farmed salmon still beats beef, chicken and eggs by a mile, since those carry essentially zero EPA and DHA. What it loses is its crown among fatty fish, dropping to mid-pack behind herring, sardines and mackerel and roughly level with trout. The broader health case is also softer than the 2000s suggested. A review of 86 trials covering 162,000 people found supplements barely moved heart attacks or deaths, so eating fish and swallowing fish oil are not the same claim. No producer has responded to the findings, and USDA, whose own scientists ran the study, declined an interview and did not answer emailed questions. Cochrane wraps up with housekeeping and a note that he will be back on Labor Day. The post The Mainframe Learned to Speak Arm #1875 appeared first on Geek News Central .

August 28, 2026Episode 187451 min

Eyes, Hands, and a Sense of Timing #1874

In this episode, Ray Cochrane digs into Anthropic’s Model Hardware Standard. It is a shared driver that lets an AI agent run real lab equipment, from pipetting robots to the lasers inside a quantum computer. He also covers OpenAI’s builder’s guide to GPT-5.6, Google’s new Expert Intelligence book feature, Apple’s M5 Ultra Mac Studio, and a judge’s order forcing Google to stop hiding rival app stores. Finally, he weighs in on Apple’s proposed 15 percent link-out fee, Meta’s Australia numbers, the White House deputizing private hackers, and why rivers obey a 1957 math rule. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. He is hunting for tickets to Michigan for his dad’s anniversary, and he has been learning Blender and Godot on the side, mostly modeling and blocking out levels. Consequently, he asks listeners for advice on starting a big game project, and he plans to record his progress, maybe as a time lapse. Then it is straight into the featured story. Anthropic’s Model Hardware Standard: A Driver for the Physical World The featured story comes from Anthropic, which opened a research preview of the Model Hardware Standard, or MHS. Cochrane frames it as the other side of the question NVIDIA’s world models raised two weeks ago: when do AI agents start touching actual machines? A typical lab runs a microscope, a liquid handler, a robotic arm, and a plate reader, each from a different vendor with its own control software. One Janelia researcher in the post launches seven programs in three languages just to start an experiment. Anthropic says wiring a setup like that takes weeks or months of specialist work. MHS is a driver, the same kind of translation layer a printer uses, except every device gets described with a tiny set of commands like read and write. Devices announce themselves on the network. A plain-English reference file then records what each machine measures, what can be adjusted, and which safety limits get enforced no matter what the agent asks. Agents then reach the hardware through the Model Context Protocol, the command line, or plain code. Cochrane sees the same move the industry keeps making, from coding harnesses to RSS and JSON: agree on a standard and let everyone build against it. In fact, he calls MHS the hardware version of MCP. The partner results carry the segment. QuEra builds quantum computers from individual atoms held by lasers that must hold their frequency to about one part in a trillion. A four-person team spent months on a relock script that worked 58 percent of the time. However, four copies of Claude iterating overnight through MHS produced a decision-tree script that recovers the laser in about six seconds, and it passed 99.3 percent of 700 blind trials. Carnegie Mellon wrote MHS drivers for four instruments across three incompatible computers in about eight hours, then ran dose-response experiments three times faster and blocked all six deliberately induced faults. Genentech, meanwhile, showed the limits. Claude used the same pump speed for water, a foamy protein solution, and a human had to explain that the bubbles were a physics problem. That gap in physical intuition is what sticks with Cochrane. He doubts it will change soon, and he suspects the fix will arrive as sub-agents or sub-models that judge a request against an expected outcome. He also connects MHS to a video of racing robots that never learned to stop at the finish line. What happens, he wonders, once they can read a distance sensor through a shared standard? Still, he calls the announcement a fantastic read and points listeners to the full article. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. GPT-5.6 Does the Same Work for a Fraction of the Cost OpenAI’s builder’s guide to GPT-5.6 leads the headlines. Cochrane recaps the three tiers from episode 1870, Sol, Terra, and Luna, plus the separate dial for reasoning effort. On BrowseComp, a benchmark for digging up obscure facts on the web, the old GPT-5.5 flagship scored about 84 percent on a run that cost 33 dollars three months ago. Luna now matches that score for a dollar thirty-three, and OpenAI has since cut Luna’s price another 80 percent. Browser Use reports Luna finishing 78 percent of its hardest browser tasks for about 14 dollars, against 80 percent for roughly 235 dollars from the best available model. The guide’s other big addition is a multi-agent beta flag. It lets the model handling a request spawn parallel helper agents that report back to a root agent inside a single API call. However, Cochrane is unimpressed by the timing. He has been running that pattern in Claude Code for months, so he sees OpenAI copying a workflow other companies already ship rather than inventing its own. Along the way, he plugs Claude Code’s remote-control sessions, which let him send prompts from his phone to a terminal session at home. Google Lets Gemini Read the Books You Actually Bought Google launched Expert Intelligence, a name Cochrane calls quite the reach. The feature lets you drop a book you bought on Google Play Books into Gemini Notebook, formerly NotebookLM, and ask questions answered only from that book, with citations. Cochrane sees real power here for students, since he once used NotebookLM to organize scattered course PDFs. Additionally, publishers get a cut, which he calls a far better deal than the wholesale scraping of books that trained earlier models. Nevertheless, he asks who loses out, because a paid publisher does not automatically mean a paid author. He floats the same idea for artists, even a penny per use, then admits that may be too idealistic. Apple’s M5 Ultra Mac Studio Is Built to Run Big Models at Home Back in episode 1861, when Apple killed the Mac Pro, an M5 Ultra Mac Studio was expected later this year. Now it is here. The M5 Ultra brings up to a 36-core CPU, an 80-core GPU, and 512GB of unified memory moving 1.2 terabytes per second. Apple claims up to 4.3 times the AI performance of the M3 Ultra. Thunderbolt 5 can also cluster four machines into one memory pool for up to three times faster inference. The M5 Max model starts at $2,499 and the Ultra at $5,499, with shipping on September 22 and the 512GB configuration arriving in late October. Cochrane finds the clustering pitch ridiculous at that price, but he invites anyone who spends the money to report back. Apple Opens a Manufacturing School in Houston Apple also opened a 20,000-square-foot Advanced Manufacturing Center in Houston. It offers free classes for small and midsize manufacturers, from circuit board design to hands-on time on a scaled-down production line, with college students joining later. Cochrane calls it a solid step in the bring-manufacturing-home movement. The bigger story is the campus itself, which builds Apple’s AI servers and will add the first US-assembled Mac mini line later this year. That ties back to the Mac mini shortage that followed the OpenClaw rush, when Tim Cook warned of months-long waits. Cult of Mac was still reporting four-month waits in late July. However, Cook blamed chip supply rather than assembly, so Cochrane is not counting on relief just yet. Amazon EC2 Turns Twenty Amazon EC2 turned twenty this week, which Cochrane admits makes him feel old. The 2006 beta offered one server size in one region for ten cents an hour. Each came with a 1.7 gigahertz Xeon and under two gigabytes of memory, and accounts were capped at twenty servers. Today AWS offers more than 1,200 instance types across 39 regions. Consequently, Cochrane credits the company with turning that tiny product into the backbone of cloud and AI computing. Intel Gamer Days: Two Free Games, With Fine Print Intel Gamer Days runs through September 13. Buy a qualifying Core Ultra Series 2 or 14th Gen desktop chip, a Core Ultra Series 3 laptop, or an Arc graphics card. In return you get Star Wars: Galactic Racer plus the Tomb Raider: Legacy of Atlantis remake. GamesRadar values the pair at about 120 dollars. However, neither game is out yet, and codes must be redeemed by October 31 even though the Tomb Raider remake ships in February. Cochrane calls that awful, but he still tells qualifying buyers to claim the deal early. Note that 13th Gen chips do not qualify. Judge Orders Google to Stop Hiding Rival App Stores A jury found Google’s Android app monopoly illegal in late 2023, and Judge James Donato ordered rival stores into the Play Store in 2024. On August 13, Epic’s lawyer demonstrated that searching Play for “store for apps” returned Walmart instead of any app store. Donato called that “not acceptable” and ordered three fixes within a week. Searches must surface third-party stores, listings need a plain install button, and the “are you looking for” interstitial has to go. Cochrane welcomes the monopoly being chipped away, but he notes that a controlling entity still sits atop every app store. In his view, community hubs like app stores and social media need a public infrastructure layer. He suspects governments skip that investment because companies already run the services, while selling your data. Apple Wants 15 Percent of Purchases Outside Its Store The other half of the Epic saga is Apple’s proposed link-out commission. After the 2021 anti-steering injunction, Apple charged 27 percent on purchases made through external links. A judge held it in contempt last year, and the Ninth Circuit then allowed a fee limited to the cost of running the system. Judge Yvonne Gonzalez Rogers refused to wait for the Supreme Court, writing that “further delay is unwarranted.” Apple filed 15 percent for standard apps, 10 percent for subscription renewals and partner programs, and 5 percent for small businesses. It also conceded the rate would be “essentially zero” under the appeals court’s cost yardstick. Since Apple has charged nothing on link-outs since the contempt ruling, Cochrane sees this as a raise. He calls a cut on purchases made on a developer’s own website disturbing. He also recalls reading about the size of Uber’s payments to Apple, and he questions whether that kind of percentage is sustainable for companies without funding. Meta Says It Has Cut Off 750,000 Australian Kids Meta reported locking out more than 750,000 Facebook and Instagram accounts in Australia by the end of June under the country’s under-16 social media law. Over 500,000 of those were removed before the law even took effect. Detection relies mostly on AI scanning posts and bios for tells like birthday messages, plus user reports and blocks on re-registration. However, the post gives no count of mistaken removals or appeals, and the regulator’s early data shows under-16 usage falling only from about 86 to 81 percent. Meta wants a single age signal at the operating system or app store level, and Cochrane agrees completely. He connects it to the MHS idea from the top of the show: platforms need a standard flag to reference instead of guessing. The White House Deputizes Private Hackers Earlier this month the White House signed a National Security Presidential Memorandum that lets vetted private security firms run surveillance and disruption operations against overseas criminal groups. The Justice Department and Homeland Security hold the contracts and oversee the work. Firms need a proven track record, vetted staff, and a bond of at least $1 million, and must submit operating procedures within 60 days. Cochrane finds the measure aggressive in a good way and hopes it deters attacks on innocents. Still, he takes Kevin Beaumont’s warning seriously that the private security industry profits from ransomware existing. He compares it to the old Head and Shoulders myth: why solve the problem that drives your revenue? A Weather Satellite Watched the Eclipse Shadow Cross Europe Cochrane skips the readout on this one and simply sends listeners to ESA’s site. The MTG-I1 weather satellite captured the Moon’s shadow sweeping across Europe during the August 12 eclipse. Watching a shadow cross an entire continent, he says, was a first for him. Additionally, it leaves him excited about the research happening beyond the planet. Rivers, Deltas, and the Number 0.6 Quanta Magazine explains Hack’s law, which John Hack discovered in 1957 while measuring streams in Virginia and Maryland. A stream’s length tracks its drainage area raised to the power of 0.6, regardless of the rock underneath, and satellite data later confirmed it worldwide. Computer models in the 1990s showed why. Channels that capture extra runoff cut deeper and steal from their neighbors until the network settles into the arrangement that wastes the least energy. Now a University of Texas Rio Grande Valley team has found the same 0.6 exponent in river deltas, which spread water out rather than gathering it. Nobody knows why yet, and Cochrane calls it a really cool read. Sugar Helped Grow the Human Brain, Too A new paper in Science, co-authored by Jennie Brand-Miller at the University of Sydney, adds a third ingredient to the story of early human brain growth. Alongside meat and cooking, natural sugars from ripe fruit and honey may have fueled it too. The brain is about two percent of body weight but burns twenty percent of resting energy. It runs on glucose, which meat and marrow barely supply and raw starch cannot release without fire. The team modeled ancestral diets from a chimp-like baseline through Homo erectus and concluded that the earliest hominins may have drawn over 65 percent of their energy from natural sugars. Cochrane stresses that it is a model, not fossils, and notes that paleoanthropologist Marina Lozano thinks the authors place widespread cooking too early. Still, he loves this kind of deep research. Retracing the steps to our own intelligence, he suggests, could hint at what it takes for intelligent life to develop at all. A Brain Rhythm That Tells Doctors Where to Aim Finally, Science Daily covered a University of Cologne study on deep brain stimulation. That is the implanted-electrode treatment that eases Parkinson’s tremors for some patients but not others. Andreas Horn’s team recorded from 50 patients using both the implanted electrodes and an external magnetic scanner. They identified a circuit between the electrode’s target and the frontal cortex that oscillates at 20 to 35 cycles per second. Stronger coupling there predicted bigger improvement after surgery, though the study, published in Brain, shows correlation rather than cause. First author Bahne Bahners hopes the finding helps tune DBS more precisely, especially for patients who have not responded well. Cochrane half-jokingly asks whether MHS might one day drive those electrodes, and he calls brain disorders the hardest thing in the body to treat. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com with questions or comments, subscribe to the newsletter, and grab a modern podcast app at podcastapps.com. He thanks GoDaddy for over twenty years of keeping the show on the air, promises to catch everyone next Monday, and wishes listeners a great night. The post Eyes, Hands, and a Sense of Timing #1874 appeared first on Geek News Central .

August 25, 2026Episode 187344 min

Huge Announcements From D23!! #1873

In this episode, Chris Cochrane guest-hosts for his brother Ray and devotes the whole show to one event: Disney’s D23 2026 fan convention in Anaheim. Friday night delivered Marvel’s new X-Men cast, Adam Driver as Mister Sinister, a fresh Avengers: Doomsday trailer, and a release date for Frozen 3. Saturday turned to the parks, with Villains Land, an Indiana Jones dark ride, the long-awaited Expedition Everest yeti repair, and a Monsters Inc land opening in 2027. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Chris if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Chris Cochrane opens the show and explains why this episode breaks the usual format. Instead of six or eight unrelated stories, the entire episode covers Disney’s D23 convention, which he compares to Apple’s WWDC. For newcomers, he notes that D23 is Disney’s official fan club, named for the company’s founding year of 1923. This year’s event ran two nights at the Honda Center: Friday for movies and television, Saturday for the theme parks. Marvel Finally Casts the X-Men Friday’s headline was the X-Men. The Associated Press put the crowd near 12,000, and Marvel Studios used that stage to name its rebooted team. Christopher Abbott plays Professor Charles Xavier, Inde Navarrette plays Rogue, and Maya Boyd plays Storm. Adam Driver rounds out the group as the villain Mister Sinister. Meanwhile, Samara Weaving, Kit Connor, and Sadie Sink were already known as Emma Frost, Cyclops, and Jean Grey. Jake Schreier directs, and the film arrives May 5, 2028. Chris calls the lineup spot-on casting. He singles out Weaving as a perfect match for the comics, and he points out that Sink already appeared as Jean Grey in Spider-Man: Brand New Day. Navarrette is the least established name, coming off a breakout role in an indie horror film. Boyd, meanwhile, was the name he knew least, with what he believes is a Broadway background. Above all, Chris hopes Marvel does the team justice, and he recommends the animated revival X-Men ’97 on Disney+ as the best place to start. Frozen 3 Gets a Date and a Chaotic Reveal Frozen 3 lands November 24, 2027. That is the Wednesday of Thanksgiving week, the same slot the first two films used. The story centers on Anna and Kristoff’s wedding, which a new villain, an evil Ice Queen, disrupts. Jennifer Lee returns to direct with Trent Correy, and the full voice cast is back. However, the reveal itself fell apart. Kristen Bell and Idina Menzel performed a darker arrangement of “Frozen Heart.” Meanwhile, the audio failed, the video failed, and a set of doors never opened. Menzel asked the crowd whether they should try it again, and Bell simply narrated everything that was supposed to happen. Afterward, Josh Gad sang “Oooh, Samantha,” a new love song for Olaf. Chris is here for it, since Olaf is one of the franchise’s best comic characters. Pixar, Disney Animation, and the Rest of Friday Night Pixar chief Pete Docter laid out a packed slate. Incredibles 3 hits summer 2028 and follows Violet and Dash sneaking out at night to fight crime. Chris hopes that finally shows a grown-up Jack-Jack. Coco 2 follows in November 2029 with Benjamin Bratt returning as Ernesto de la Cruz. That has fans puzzling over how a villain already in the Land of the Dead comes back. Additionally, Pixar showed an original called Ghost Market and a Venice-set cat film called Gatto. On the Disney Animation side, Zootopia 3 is confirmed. The live-action Tangled arrives March 31, 2028 with Kathryn Hahn as Mother Gothel. Chris considers that casting perfect after her turn in Agatha All Along. A live-action Lilo & Stitch sequel, a new Simpsons movie, a Bluey movie, and a Kingdom Hearts anime series round out the list. For Star Wars fans, Ahsoka returns January 20, 2027. Chris also offers a hot take: he prefers Rogue One to the entire sequel trilogy. Consequently, he welcomes original stories like Ryan Gosling’s upcoming Starfighter. Adam Driver Is Mister Sinister Driver appeared by video rather than in person. He told the crowd that he and Kevin Feige had talked for years about joining the Marvel Cinematic Universe. Then he announced he would play Magneto. After a long pause, he corrected himself to Nathaniel Milbury, which is Mister Sinister’s human alias. The gag landed because fans had floated Driver for Magneto for years. For anyone new to the comics, Chris explains that Mister Sinister is a geneticist obsessed with mutant DNA, a manipulator rather than a brawler. The cast met backstage only minutes earlier, so Chris is curious how their chemistry develops. Notably, Christopher Abbott previously worked with Driver on HBO’s Girls. The script comes from Beef creator Lee Sung Jin and The Bear co-showrunner Joanna Calo, two prestige-television names that have Chris excited. Why the X-Men Took Thirty Years to Reach the MCU A business story underlies the casting. In the 1990s, a financially struggling Marvel sold film rights to raise cash. Fox ended up with the X-Men and the Fantastic Four, and Sony took Spider-Man. As a result, Marvel Studios built its connected universe from 2008 onward without some of its most famous characters. The Hugh Jackman era of X-Men films belonged to Fox, with a separate continuity and no crossovers. That changed in 2019, when Disney closed its $71 billion purchase of 21st Century Fox’s film and television studio. Most coverage framed the deal as a streaming play, but it also brought the X-Men home. Chris sums it up neatly: Disney signed the paperwork in 2019, cast the film in 2026, and audiences see it in 2028. Ryan Gosling’s Starfighter, Ghost Rider, and VisionQuest Lucasfilm dated Star Wars: Starfighter for May 28, 2027. Gosling plays Kade Auberon, a pilot from the wrong side of the galaxy tied to the fastest starfighter ever built. Before he walked out, Disney played clips of him as a kid on The Mickey Mouse Club. Gosling said the company changed his life then and is changing it again now. He is also playing Ghost Rider in the Marvel universe. That thrills Chris, since Nicolas Cage last carried the character on the big screen. Meanwhile, the Disney+ series VisionQuest arrives October 14. Paul Bettany returns as Vision and James Spader as Ultron, and the trailer drops the two androids into oddly mundane human situations. Bettany joked that Vision has “rather inconveniently died several times.” Chris agrees the character has been through the wringer since WandaVision. The Avengers: Doomsday Trailer Avengers: Doomsday opens December 18, with Joe and Anthony Russo directing. Robert Downey Jr., Chris Evans, and Hayley Atwell introduced the new footage. It offers the clearest look yet at Downey as Doctor Doom, who fights off Thor and takes his hammer. Evans appears as Captain America holding a baby, and Ian McKellen shows up as a haggard, long-haired Magneto. One quieter shot has Doom staring at a portrait of a lost wife and child. That frames him as a grieving avenger rather than a world-ender. He also commands an army of comic-accurate Sentinels. The cast pulls from the Avengers, the Fantastic Four, and the legacy Fox X-Men, including Patrick Stewart. Hugh Jackman also appeared on screen to say he is willing to return as Wolverine, though that was not a confirmation. Chris, a self-described Marvel nerd, closes with a theory. He suspects the MCU’s Tony Stark was actually Victor von Doom, adopted by the Starks, which would explain the Downey casting. He also predicts the Fox-era X-Men die off in this film and that Thor may be the major casualty. If it happens, he wants credit for calling it. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Disney Parks Around the World Saturday’s Disney Experiences showcase covered parks, resorts, and cruise ships, with Neil Patrick Harris hosting. Hong Kong Disneyland gets an Avengers pavilion that reshapes its Stark Expo skyline. Shanghai Disneyland is building the first land devoted entirely to Spider-Man, complete with a new coaster. Since Spider-Man is his favorite hero, Chris hopes to visit once it opens. Closer to home, Avengers Campus at Disney California Adventure is doubling in size with two rides opening in 2028. Avengers: Infinity Defense brings back Jeremy Renner, Anthony Mackie, Chris Hemsworth, and Downey, while Stark Flight Lab adds Brie Larson. A Coco boat ride into the Land of the Dead is also coming, with no height requirement. Chris admits he prefers California Adventure to Disneyland because the rides are better. Overseas, Disneyland Paris will retire its Star Wars Hyperspace Mountain overlay at the end of 2027 and restore the original Jules Verne theme. Paris also gets the first ride ever based on The Lion King. Tokyo Disneyland adds Sugar Rush: Sweet Rescue, the first Wreck-It Ralph ride, plus a Space Mountain launch sequence designed with YouTuber Mark Rober. Finally, Disney Cruise Line announced three more ships, including the Disney Believe in 2027 and an entirely new class in 2029. Back in Anaheim, Tomorrowland is getting reimagined, which Chris welcomes because the land badly needs an update. The Magic Happens parade and the Remember Dreams Come True fireworks are both returning. For the tech crowd, Millennium Falcon: Smugglers Run now has a Fortnite crossover, where in-game missions unlock content on the real ride. Every New Walt Disney World Ride and Land Chris ranks the Florida parks Hollywood Studios first, then Epcot, Animal Kingdom, and Magic Kingdom. Magic Kingdom leads the announcements with Villains Land, now the official name. It features a Maleficent coaster through an enchanted briar and a boat ride through the Evil Queen’s catacombs. Reporting puts its scale near Star Wars: Galaxy’s Edge, and Glenn Close appeared in character as Cruella to announce it. Piston Peak, the Cars area replacing Tom Sawyer Island, adds two more rides, though their exact names remain unsettled. Additionally, the Carousel of Progress gets new scenes and a recast. Jamie Lee Curtis and Bryan Cranston will voice Mom and Dad starting late spring 2027. Chris, invoking Heisenberg, calls Cranston the GOAT. At Animal Kingdom, the Indiana Jones ride now has a name: Indiana Jones and the Myth of the Jade Serpent. It tells an original 1950 story inside a Maya temple, and Harrison Ford personally served as the physical model for the animatronic. Nearby, the Tropical Americas land brings Antonio’s Fiesta de Encanto, with more than fifty animal animatronics and no height requirement. Then comes the fix park regulars have wanted for years. The Expedition Everest yeti broke soon after the ride opened. Rather than fix it, Disney lit it with a strobe for over a decade, earning the nickname disco yeti. Now it is being repaired and returned to full motion. Chris rates Everest among his top five rides anywhere, and he suggests riding it before the fix so you can compare. Over at Epcot, Spaceship Earth gets its first major story rewrite in nearly twenty years, shifting from communication history to human connection. Dreamfinder also returns to Journey Into Imagination, and Disney Experiences chairman Thomas Mazloum introduced that news with two words: “we heard you.” Mazloum added that Disney has more projects underway than at any point in its history. After this rundown, Chris believes him. Monsters Inc Land Opens in 2027 Monstropolis begins opening at Hollywood Studios in early 2027, but in stages. The headline door coaster will not be ready on day one. It is the first suspended coaster in any Disney park. It also uses Disney’s first vertical lift, hauling riders about forty feet straight up before launching them into the door vault. Instead, the land opens with the Glob Theater’s “Welcome to Monstropolis” show and Harryhausen’s, a working sushi restaurant lifted from the first film. The stage show features an original song by Randy Newman, his first ever written for a theme park attraction. Chris also notes that the restaurant name honors stop-motion legend Ray Harryhausen. Wrapping up, Chris names the X-Men casting and the Doomsday trailer as his favorite moments of the weekend. He hopes to cover more movie news on future shows, and he plugs Dune: Part Three, which also opens December 18. Chris signs off with the usual mentions: GNC Insider at geeknewscentral.com/insider, email at geeknews@gmail.com, the newsletter, and modern podcast apps at podcastapps.com. He also thanks GoDaddy for over twenty years of support. The post Huge Announcements From D23!! #1873 appeared first on Geek News Central .

August 13, 2026Episode 187247 min

The Robot That Imagines First #1872

In this episode, Ray Cochrane breaks down NVIDIA’s case for world action models, the shift that swaps a robot’s picture-describing backbone for one trained to predict what happens next. He also covers Perseverance closing in on the off-world driving record, a derelict SpaceX rocket stage hitting the Moon, and Anthropic’s rework of Claude Fable 5’s biology safeguards. Finally, he digs into Gemini Omni, Google’s undisclosed trip-planning rankings, the Danube’s record low, and iFixit’s call for Apple to unlock the iPad bootloader. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter . Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page . Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a personal update. Wildfires in Eastern Oregon made for a rough week of heavy smoke, and a local building burned down, which he calls a real tragedy. Meanwhile, his work at Blubrry has centered on PowerPress fixes, where reproducing customer-reported bugs remains the biggest headache. Support tickets rarely carry enough detail, and the errors themselves are often too vague to diagnose. Consequently, he is leaning toward a stronger logging and error layer, and he asks experienced developers to share what actually works for them. Beyond VLAs: NVIDIA’s Case for World Action Models The featured story comes from NVIDIA’s developer blog, and it answers a question sitting underneath this year’s robot news. Why do robot arms fall apart the moment anything changes? Move a cup six inches, swap its shape, or change the lighting, and a policy that worked perfectly in training fails. The answer, according to NVIDIA, is not the robot but the model underneath it. For the last few years, the dominant approach has been the vision-language-action model, or VLA, built on an AI that originally learned to describe pictures. Consequently, it recognizes a banana it has never seen, in a kitchen it has never seen, yet it has no idea what that banana will do next. As the article puts it, such a model “does not learn what happens to a mug when the gripper closes, how a towel folds, where an object lands when released.” Because the physics never arrives with the model, every scrap of it has to come out of hand-recorded demonstrations. The proposed fix swaps the foundation entirely. Instead of building on a model that learned to caption images, a world action model builds on one trained to predict how video continues, so the physics is already paid for. Notably, these models output an action and a prediction of what the robot’s cameras will see, in the same pass. Cochrane likens it to forethought, imagining your own motion as you make it. NVIDIA’s implementation is Cosmos 3, pretrained on roughly 767 million images and 348 million videos of real-world dynamics. It ships in 4, 16, and 64 billion parameter sizes named Edge, Nano, and Super, and it runs in real time on a Jetson Thor board bolted to the robot itself. Cochrane recalls his dad owning one of those Jetson boards, and he asks anyone working in robotics to explain how the throughput figures fit together. However, he closes on an open question: where did 348 million videos actually come from? For deeper detail, he points listeners to the source article and to NVIDIA researcher Jim Fan. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Perseverance Closes In on the Off-World Driving Record Ars Technica reports that NASA’s Perseverance rover is about to take the record for most distance driven on another world. The mark sits at roughly 28 miles, set by NASA’s own Opportunity rover across more than fourteen years before it went quiet in 2018. As Cochrane works out on air, that averages about two miles a year. Perseverance will pass it in roughly five years instead. The difference is a navigation system called AutoNav. Since a radio signal takes several minutes to reach Mars, earlier rovers crept along pre-plotted routes and stopped every half meter to think. Perseverance carries a second computer dedicated to processing what its cameras see, so it plans while the wheels keep turning. Consequently, about ninety percent of its driving is autonomous, against roughly ten percent for Curiosity, and it averages around 110 meters an hour rather than 15 to 18. Cochrane notes researchers finding the rover at planned sites days ahead of schedule, and he wonders aloud whether world action models might drive the next one. A SpaceX Rocket Stage Slammed Into the Moon Next, Smithsonian Magazine covered the Falcon 9 upper stage that struck the Moon on August 5. That stage flew back in January 2025, carrying Firefly’s Blue Ghost and ispace’s Resilience landers, and it was never meant to end up there. SpaceX’s Julianna Scheiman says a mixture of solar activity and gravity nudged the derelict onto a lunar path after nineteen months adrift. Four tonnes of dead hardware arrived at about 5,400 miles per hour. Nobody watched it happen, and the reason is a nice bit of physics. It struck sunlit ground near a crater called Einstein, and no impact flash has ever been detected on the lit part of the Moon. However, the instruments caught the aftermath. South Korea’s Danuri orbiter imaged a dark new mark, while the European Southern Observatory’s Very Large Telescope picked up sodium and lithium in the plume, the lithium possibly shed by the rocket itself. Astrophysicist Jonathan McDowell quipped that he has “Sir Isaac Newton’s personal assurance that it did indeed hit the moon,” while planetary scientist Hannah Sargeant warns against making a habit of it. Cochrane points out the Apollo landing sites are still sitting up there. Anthropic Reworks Claude Fable 5’s Biology Safeguards Anthropic published a post on how Claude Fable 5 handles biology questions, and the bind is genuine. Biology is the textbook dual-use problem, since the knowledge behind reading your own lab results also helps someone build a weapon. Rather than refusing outright, a classifier watches for risky requests and quietly reroutes them to Claude Opus 5, a capable model without Fable 5’s biological depth. Anthropic calls that mechanism a fallback. The trouble was how often it fired on people doing nothing wrong. This update cut biology-related fallbacks by roughly 85 percent in Anthropic’s own testing, with expected overall drops of 67 percent on Claude.ai and 55 percent on Cowork. Genuinely dual-use territory still trips it, and Anthropic names virology, toxicology, and molecular design. Cochrane hit the old behavior himself and found it irritating, so he welcomes the refinement. Even so, he would rather see a false positive than a model helping someone produce a virus. Five Builders Put Gemini Omni Through Its Paces Google highlighted five builders working with Gemini Omni. Omni is a model rather than an app, and it generates video from text, images, other video, or audio, while also editing footage you already have. Google claims it “combines an intuitive understanding of physics with Gemini’s real-world knowledge,” citing gravity, kinetic energy, and fluid dynamics. As Cochrane observes, that is the same bet NVIDIA is making with robots, only pointed at video generation instead. He also flags a naming collision worth knowing about. NVIDIA calls its architecture an omni-model while Google’s product is simply Omni, two different things landing in the same week. Additionally, he encourages listeners to watch the demos, though he still senses a disconnect in AI-generated video and concedes that knowing its origin may color the impression. Gemini Wants to Plan Your Vacation Another Gemini piece, a how-to on trip planning, drew Cochrane’s sharpest take of the night. Gemini plugs straight into Google Maps, Flights, and Hotels, pulling live locations, reviews, and prices to build an itinerary. Switch on a feature called Personal Intelligence, and it reads across your Google apps, turning a messy trip-planning email chain into a clean master plan. Clever, but he calls it extremely concerning. Once these become services, he expects partnerships to quietly push particular hotels, restaurants, resorts, and destinations onto users. Notably, Google’s post never explains how any of it gets ranked, and the words sponsored, ad, affiliate, commission, and paid never appear once. There is no disclosure of a commercial arrangement, and no denial of one either. Meanwhile the post hands readers off to Viator to book tours without describing that relationship at all. Cochrane suspects the real effect shows up slowly, in the shape of small businesses continuing to disappear. The Senate Blocks a Rule on Who Controls Research Money Science reports that the Senate passed a temporary spending bill in the early hours of Saturday the 8th. The Senate’s version carries a one-paragraph rider the House version lacks, and that rider stops the White House Office of Management and Budget from finalizing a set of proposed rules. OMB builds the president’s budget, clears agency regulations, and controls how approved money actually reaches agencies. The bill itself is a stopgap, which prevents a shutdown without settling anything. The rules reach every organization that takes federal money, a pot of roughly $1.1 trillion across 41 agencies, about $150 billion of it research grants. They would let political appointees second-guess which grants get funded, allow awarded grants to be pulled when the work does not match presidential priorities, and put several countries off limits for research partnerships, China first among them. Senator Susan Collins pushed the block through after telling OMB director Russell Vought the proposal was deeply flawed, noting nearly 500,000 public comments, the vast majority opposed. However, the 90-6 vote is not law. Both chambers are on recess. Vought reportedly said the rule would not have been finalized before December anyway, and the block only lasts as long as the stopgap, which expires December 11. The Danube Falls to a Record Low ESA published a pair of Copernicus Sentinel-2 satellite images showing the same bend of the Danube, 45 kilometers upstream of Budapest, photographed a year apart. Cochrane calls the before-and-after shocking, going from green to brown completely. Wire reports put the Budapest gauge near 10 centimeters at the start of the month, about four inches of water, against a previous record of 33 centimeters set in 2018. The knock-on effects arrived fast. Budapest ran short on both power and drinking water, while the shrinking flow concentrated pollution in what remained. Romania hit record lows on its own stretch as well. Cochrane hopes the recovery is already underway. What a Heatwave Actually Does to the Power Grid That river story runs directly into a Carbon Brief factcheck. Nuclear plants cool themselves with river water, so when the Danube dropped, plants in Hungary and Romania throttled back and pulled roughly 2.5 gigawatts off the grid. Romania declared a state of alert in its energy sector, and its navy reportedly used explosives to steer more water toward a plant intake. Carbon Brief then walked through what heatwaves do to each way of making electricity. Nuclear loses efficiency when the cooling water is already warm, though its shutdowns are mostly regulatory rather than mechanical. Gas turbines pull in less air because hot air is thinner, costing capacity. Wind falls off hardest, since a heatwave is a big stalled dome of high pressure and nearly still air. Solar is the surprise: cells genuinely do get less efficient as they heat up, yet total output climbs anyway, with UK solar up 46 percent during a four-day June heatwave against the week before. Butterflies Are on the Move Everywhere A new study in Nature Ecology and Evolution covered 1,758 butterfly species, roughly one in ten of every species we have named. The team pulled 6,182 records from 105 countries, reading non-English research alongside 68 expert write-ups. Four out of five species pushed into new territory, and about 79 percent of the logged shifts traced back to climate change and extreme weather. Separately, 27 percent saw their range shrink somewhere, and 22 percent moved up or down a mountain slope chasing cooler air. That sounds like good news, and it really is not. Expansion means a boundary moved, not that butterflies are thriving, since a species can push its northern edge forward while its southern edge quietly collapses. Lead author Shawan Chowdhury says the shifts turn up on every continent where butterflies occur. Additionally, monitoring gaps leave Central Africa, Southeast Asia, New Guinea, and the Amazon Basin barely counted at all. Cochrane recalls hearing years ago that butterflies were disappearing in Hawaii, and he invites listeners spotting unfamiliar species locally to contribute what they see. Primates Make Friends Across Species Cochrane called this one a fun find. A study in the journal Primates, led by Cyril Grueter at Oxford, gathered 427 documented cases going back to the 1970s across 88 primate species and 127 partner species. Play and grooming dominated at 139 and 136 cases, alongside carrying, huddling, food sharing, and even adoption. Primates usually started the interactions themselves, with juveniles playing most, adult females handling grooming and caregiving, and adult males least likely to join in. The examples are remarkable. Japanese macaques on the island of Yakushima groom sika deer and climb on their backs, a silverback gorilla cradled a tiny wild bushbaby, and wild capuchins in Brazil adopted an infant marmoset in a bond that held for weeks. However, Grueter rejects the pet-keeping headline and prefers the hedged term proto-pet keeping. The actual claim is smaller and more interesting: curiosity, tolerance, caregiving, and play have roots running far deeper than humans do. iFixit Tells Apple to Unlock the iPad Finally, an opinion piece from Charlie Sorrel at iFixit struck a chord. This fall, iPadOS 27 drops support for a batch of older iPads, including the 8th-generation iPad, the third-generation Air, the fifth-generation mini, and the first-generation iPad Pros. Cochrane owns one of those Pros and reports it still works fine. Those devices will not break, but they stop getting OS and security updates until apps abandon them and the battery gives out. The obvious second life is Linux, except the bootloader stays locked. Apple’s iBoot will not load anything else, unlike a Mac, a PC, or most Android phones. Sorrel argues it “should be a user choice, not a vendor choice,” and Cochrane agrees flatly. You own the device, so why does Apple decide what runs on it? He compares the situation to jailbreaking, and he suspects most consumers have never pushed back simply because it never occurs to them. Nevertheless, he hopes an unlock eventually breathes new life into hardware that still works perfectly well. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com, subscribe to the newsletter, and grab a modern podcast app at podcastapps.com. He thanks GoDaddy for over twenty years of keeping the show on the air, and he signs off wishing listeners a wonderful evening. The post The Robot That Imagines First #1872 appeared first on Geek News Central .

August 7, 2026Episode 187145 min

Capture The Real Flag #1871

In this episode, Ray Cochrane digs into Anthropic’s admission that Claude models reached real systems during sandboxed safety tests. He also covers OpenAI’s Astra model cracking ten decade-old math problems, DeepMind open-sourcing its WeatherNext cyclone forecaster, and Europe’s brutal fire… The post <a href="https://geeknewscentral.com/2026/08/06/capture-the-real-flag-1871/">Capture The Real Flag #1871</a> appeared first on <a href="https://geeknewscentral.com">Geek News Central</a>.

July 10, 2026Episode 187045 min

AI Distillation: How Frontier Models Teach Each Other #1870

In this episode, Ray Cochrane breaks down AI distillation, the teacher-student technique frontier labs now lean on to train smaller, cheaper models. He also covers GPT-5.6’s government-vetted rollout, Claude Sonnet 5 landing on AWS, Maryland’s two-year data center pause, and… The post <a href="https://geeknewscentral.com/2026/07/10/ai-distillation-how-frontier-models-teach-each-other-1870/">AI Distillation: How Frontier Models Teach Each Other #1870</a> appeared first on <a href="https://geeknewscentral.com">Geek News Central</a>.

July 7, 2026Episode 186938 min

Algorithmic Outing: When Your Feed Knows Before You Do #1869

In this episode, Ray Cochrane digs into “algorithmic outing,” new research showing that social feeds can infer your sexual orientation before you have consciously come out. He also covers Meta’s privacy-aware AI infrastructure, Alberta’s 466-million-line code scan with Claude, NVIDIA… The post <a href="https://geeknewscentral.com/2026/07/07/algorithmic-outing-when-your-feed-knows-before-you-do-1869/">Algorithmic Outing: When Your Feed Knows Before You Do #1869</a> appeared first on <a href="https://geeknewscentral.com">Geek News Central</a>.