Podcasts about V3

Ed Baumgartner is a corn breeder and co-founder of Bass Hybrids in Olivia, Minnesota. His family has been in the seed corn business since the late 1930s, when his great uncles began producing hybrid seed as Troy Farms. Ed studied agronomy and plant genetics and spent 21 years and five mergers inside the commercial seed industry, much of it running winter nurseries in Puerto Rico and doing trait integration work for major companies. At Bass Hybrids, Ed breeds non-GMO corn using a shuttle breeding model borrowed from Norman Borlaug, cycling material between Puerto Rico and Minnesota for three generations a year under deliberate heat, drought, and disease stress. Working in 18 identified genetic families rather than the industry's two, he has selected for native insect tolerance and broad stress resilience and found those selections also produced plants with unusually strong microbial association and markedly lower nitrogen requirements. His current work includes nitrogen rate trials across genetics, interseeded cover crop studies in three states, and a 148-acre discovery farm dedicated entirely to regenerative research. In this episode, John and Ed discuss: Why corn inbreds developed before heavy nitrogen fertilization still carry the genetics for nutrient efficiency How some Bass hybrids produce 200 bushel corn on 50 pounds of applied nitrogen, and drop to 150 bushels when nitrogen is pushed above 200 Why Y-drop nitrogen placed too close to the stalk causes a yield hit on biologically responsive genetics The plant characteristics that signal high biological receptivity, including pubescence, leathery leaves, multiple ears, and heavy pollen loads Results from interseeding nine species of cover crops at V3, where the highest yielding treatment came with nitrogen cut by 25 percent Why Bass asked its seed producers to apply AEA's Pinion this season in place of conventional fungicide How AEA's fertility guidance gives growers an off-ramp from high nitrogen and an on-ramp for soil biology What germinator trials revealed about fungicide-treated seed versus seed grown without fungicides Additional Resources To listen to John's first conversation with the BASS Hybrids team, please visit: https://advancingecoag.com/podcast/podcast-extra-john-kempf-bass-hybrids-on-the-future-of-corn/ To read the University of Wisconsin research on nitrogen-fixing corn in Mexico, please visit: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2006352 To learn more about AEA's Pinion, please visit: https://advancingecoag.com/product/pinion/ To find Charles Walters' book Eco-Farm, please visit: https://bookstore.acresusa.com/products/eco-farm?srsltid=AU7gw4XfkT_GNsryakPAWEYC5avS6GxN3ikUv9nbqaG0cJXfyZIq3Y8_ To learn more about BASS Hybrids, please visit: https://www.basshybrids.com/ About John Kempf John Kempf is the founder of Advancing Eco Agriculture (AEA). A top expert in biological and regenerative farming, John founded AEA in 2006 to help fellow farmers by providing the education, tools, and strategies that will have a global effect on the food supply and those who grow it. Through intense study and the knowledge gleaned from many industry leaders, John is building a comprehensive systems-based approach to plant nutrition – a system solidly based on the sciences of plant physiology, mineral nutrition, and soil microbiology. Support For This Show & Helping You Grow Since 2006, AEA has been on a mission to help growers become more resilient, efficient, and profitable with regenerative agriculture. AEA works directly with growers to apply its unique line of liquid mineral crop nutrition products and biological inoculants. Informed by cutting-edge plant and soil data-gathering techniques, AEA's science-based programs empower farm operations to meet the crop quality markers that matter the most. AEA has created real and lasting change on millions of acres with its products and data-driven services by working hand-in-hand with growers to produce healthier soil, stronger crops, and higher profits. Beyond working on the ground with growers, AEA leads in regenerative agriculture media and education, producing and distributing the popular and highly-regarded Regenerative Agriculture Podcast, inspiring webinars, and other educational content that serve as go-to resources for growers worldwide. Learn more about AEA's regenerative programs and products: https://www.advancingecoag.com

Nick Forster is the CoFounder and CEO of Derive.Could Derive V3 do for options, what Lighter did for perps on Ethereum?!In this episode of DeFi Frontier, Nick returns to to walk us through what to expect when Derive V3 ships this month of September: a ZK application that collapses the exchange, execution layer, and settlement into one stack, making institutional onboarding as simple as a few lines of code.He covers the decision for where they will deploy V3 and why Ethereum seems most likely to be V3's future home. We also discuss what the new arrival of tokenized stocks and RWAs means for onchain options and how big the TAM still is for onchain options.------

In this episode, Trey and Micah welcome back two-time guest Guffy Wright to unpack his new book, Attach High, and the idea of attaching to a client's best interest while detaching from your own commission. Guffy breaks down his V3 framework for removing friction from high-stakes decisions, sharing the story of losing a deal despite being $400,000 cheaper as the moment that changed how he thinks about sales. The conversation covers how elite advisors guide buyers through tough decisions, why timing and self-investment matter at every career stage, and where to grab the book.Link to Attach High: https://a.co/d/0eqb8LF8.....Resources & Links:

Lido joins us with September rate hike odds near 66% ahead of the FOMC decision on the 16th. We get into stablecoin yields versus ETH staking after a hike, the 21-bank stablecoin coming for that yield, and where institutional staking stands after V3.~This Episode is sponsored by Ether.Fi~Join Ether.Fi and Earn cashback on trades of tokenized stocks and more!➜ ether.fi/@paulbarronGuest: Kean Gilbert, Head of Institutional Relations at LidoLido Liquid ETH Staking ➜ https://lido.fi/Lido USD & ETH Vaults ➜ https://stake.lido.fi/earn00:00 Intro00:10 Sponsor: EtherFi01:20 USD stablecoin yields if Fed Hikes?02:10 ETH staking if Fed Hikes?03:30 ETH staking vs Stablecoin staking04:40 Banks rushing to steal your stablecoin yields?06:00 Current state of institutional staking07:50 Bitmine competing against Lido for institutional marketshare?09:10 What is Lido doing to increase its marketshare?10:10 What other ways are institutions using liquid staked tokens?11:20 Institutional Restaking coming?12:15 Will Rate Hikes exacerbate Morpho growth?12:50 Looped USD yields: Is 7% too low?14:15 Vaults: why does Lido now restrict U.S. users?15:50 DeFi exploits vs Vault adoption18:30 Automatic Native Yields: is this a good thing or a bad thing?19:50 Did SEC pave the way for a two tiered DeFi ecosystem?20:30 Solana proved its capable of voting to lower issuance. What does this signal for ETH?21:50 When $LDO fee switch?#Crypto #Ethereum #federalreserve ~Institutional ETH Staking Boosted By Rate Hikes?

In this episode of the Construction Corner podcast, Dillon dives deep into the AI-driven data center boom and what's really holding it back. He argues that while demand for electrical engineers and construction is set to grow significantly, the true bottleneck isn't chip supply or capital — it's power generation and transmission, tangled up in legislative and utility delays. Along the way, he unpacks how memory shortages, fab construction (like Micron's long-stalled New York facility), and hyperscaler CapEx spending from the "Mag Seven" all ripple through the supply chain together.The conversation then takes a turn toward the future: could data centers eventually move off-planet? Dillon walks through how SpaceX's Starship and V3 satellites are multiplying available bandwidth, how NVIDIA has already tested GPUs in space, and why space-based or off-shore data centers might become the answer once terrestrial power and jurisdictional constraints become too limiting — pointing to alternatives like the Middle East as jurisdictions more willing to host this infrastructure.

Guffy Wright is an elite insurance producer. He has a multi-million dollar (commission) Book of Business, but only after figuring out how to remove the hurdles of Friction, overcome Stagnation, achieve maximum Velocity, and then Accelerate month after month. In this episode host Charles Specht walks alongside Guffy as they discuss how producers can get out of their own way, find and dominate a profitable Micro-Niche, overcome the limiting beliefs, and accelerate toward Book growth with a steady velocity. Key Topics: Guffy Wright on writing Attach High after his father's passing Removing friction means attaching to the client's best interest Stagnation vs. cruise control: knowing the difference matters Why failure beats stagnation, since failure creates clarity Three types of friction: not clear, not safe, not aligned Trust gets you in the room, alignment moves the decision The V3 framework: value, vulnerability, and validation Micro-niching builds the expertise needed for real alignment Velocity: directional movement once friction is removed Stagnation cost Guffy seven figures, personally and professionally Reach out to  Guffy Wright Charles Specht Visit: Permission Network Chief Sales Officer Permission Producer School Produced by PodSquad.fm

What do you know, there's another Butter! The Butter Bois start off with a sentimental RIP to Hayden P. A great Actress and great person. So sad... Happier note, FOOTBALL IS BACK BABY!!! The Bills new stadium gets discussed, brief chat about current roster and then some! Then we dive into The movie homework Producer Richie was assigned... What a movie. Blank Check does not age well... Anyway. Remember trying to guess the songs based on lyrics that are the opposite of what they actually are... Well its really really difficult! Kris hosts V3 of the Reverse Lyrics game and boy can I tell you my brain was working overtime trying to process what he was spitting! Anyway had to write another sentence so I didn't stop at 666 characters! Enjoy!

Programa 27 de la temporada 7 del TwinTrail Talks, hoy hablamos del sistema Tacs-Pro Racing y como funciona, de la futura BMW F650GS y del motor V3 de Honda, terminamos con el Consultorio de Charly y la Chusta de la semana. Síguenos en Facebook y Instagram para no perderte nada! ➜ / twintrail ➜ / twin_trail Y no te olvides de visitarnos en: ➜ https://www.twintrail.com ➜ https://www.twintrailexperience.es #LetTheAdventureBegin #TwinTrail #MotoTravel #BigTrail #MotoTrail #Klim #MotoZ #DualSport #Offroad

TRACK LIST1. RISE - K. ALEXI SHELBY2. THE PRECHER - MR. V3. SO LONG - 2FOX FT. LIAM BAILEY & BB JAMES (MANOO RMX)4. MESSAGE IN OUR MUSIC- COREY HOLME FEA OJAYS5. BETCHA' - DJ MARK BRICKMAN6. WARNING - RHEMI FEA LYNN LOCKAMY 7. HEAD NOD - DJ ERV8. TAKE IT EASY - MIKE DUNN(BLACKBALL EZEE MIX)9. DANCE IS MY THERAPY - GARY ADAMS, COREY HOLMES LARRY LABIRT10. WAT IF (SHINO ZONED OUT PIECE)

Sophi Vestrini joins LAB the Podcast to explore beauty, creativity, storytelling, and our deep longing for what is real. From growing up surrounded by family in Guatemala to encountering V3 through The Widow of Nain and Sehnsucht Symphony, Sophi shares how beauty moved her from simply experiencing the work to wanting to become part of it. Now serving as V3's Director of Marketing and PR, she and Zach explore the power of true artistry in an increasingly digital world, why beauty still stops us in our tracks, and what it means to help the world's greatest artists tell the world's greatest story.Tickets for all upcoming V3 events: SIGN UPSubscribe for more episodes of LAB the Podcast: VU VI VOSupport / Sponsor: https://vuvivo.com/supportFollow: @labthepodcast | @vuvivo_v3 | @zachjelliott | @_savve Thank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast. #LABthePodcast #SophiVestrini #Beauty #ChristianArt #FaithAndArt #ChristianCreativity #Storytelling #Sehnsucht #SehnsuchtSymphony #SacredArt #BeautyTruthGoodness #ChristianLeadership #LifeAndBeautyOfTheGospel #VUVIVO #v3 Support the show

Skyways has spent nearly a decade working on a problem most of the drone industry largely ignored: logistics. While billions poured into drones built to see targets or strike them, Skyways focused on something less flashy but arguably just as important: moving critical supplies without putting people in harm's way. That bet is starting to look increasingly prescient. The company has worked with the U.S. military since its earliest days and is now building its V3 aircraft to carry 100 pounds of payload up to 1,000 nautical miles. The longer-term ambition is much bigger: use defense to mature autonomous aviation, build a global logistics network, and eventually prove the technology required to carry people. Skyways' Chief Strategy Officer Isaac Roberts joins Valley of Depth from the company's Austin factory to unpack why autonomous logistics could become one of the biggest markets in drones, how the war in Ukraine has accelerated the entire industry, and why the FAA may be the biggest obstacle standing between today's cargo drones and autonomous aviation at scale. We also cover: Why logistics became Skyways' wedge into the Department of Defense How Skyways beat Boeing and Shield AI in military competitions Why the company believes defense is the proving ground, but commercial logistics is the much larger opportunity Why the FAA is holding back commercial drone adoption in the U.S. How Skyways plans to turn aircraft sales into a high-utilization “flight-as-a-service” network What separates real drone companies from the hype in aerospace • Chapters • 00:00 – Trailer 00:48 – Skyways factory floor 01:08 – America, French, and Texas flags 02:16 – The problem Skyways is trying to solve 03:49 – The logistics problem 09:05 – Companies Skyways competes with 11:45 – How Skyways beat out Boeing 13:18 – Will Skyways ever transport people? 15:56 – Why focus on cargo over kinetic systems? 18:35 – How has Ukraine changed the nature of drone warfare? 22:58 – Skyhook 25:34 – Where is the FAA a blocker? 28:40 – Defense contract traction 29:34 – Direct competitors in their contracts 30:28 – Is Isaac worried about Anduril competing with them? 34:06 – Current economics for the v3 36:00 – Hype and BS 37:52 – How to get to ground truth with tech 39:41 – Funding and next phase of growth 40:35 – How is Skyways structurally different than other defense companies? 41:52 – How Isaac got to Skyways 43:29 – Rocky moments at Skyways 44:27 – The FAA unlock for the industry 50:38 – What keeps Isaac up at night? 52:37 – What Mo and Isaac do for fun   • Show notes • Footage courtesy of Skyways Skyways' website — https://www.skyways.com/ Skyways' socials — https://x.com/skyways Mo's socials — https://x.com/itsmoislam Valley of Depth archive — Listen: https://pod.payloadspace.com/   • About us • Valley of Depth is a podcast about the technologies reshaping industry, national security, and the global balance of power. Brought to you by Arkaea Media, the team behind Payload, Tectonic, Ignition, and Decoding Bio, the show covers space, defense, energy, biotech, and the technologies shaping what comes next. We sit down with founders, investors, government officials, scientists, and military leaders to understand what they're building, why it matters, and where these industries are headed. From new companies and breakthrough technologies to capital, policy, and geopolitics, Valley of Depth goes deep on the forces shaping the future. Payload: www.payloadspace.com Tectonic: www.tectonicdefense.com Ignition: www.ignition-news.com Decoding Bio: www.decodingbio.com

Niet alleen buitenlandse webwinkels als AliExpress en Amazon kleuren buiten de lijntjes, ook het Nederlandse Bol scherpt zijn platform aan. De webwinkel heeft de Autoriteit Consument & Markt toezeggingen gedaan over duidelijkere prijzen, betere klantenservice en eerlijkere concurrentie tussen verkopers. Verder blijven Chinese techbedrijven nieuwe, efficiënte AI-modellen lanceren. Joe van Burik vertelt erover in deze Tech Update. De ACM stelde geen wetsovertreding vast, maar maakte zich na een breed onderzoek zorgen over de werking van het platform voor zowel consumenten als verkopers. Bol beloofde onder meer de prijsweergave aan te passen. Nu staat onder de daadwerkelijke prijs vaak een doorgestreepte 'vanaf'-prijs met een besparingspercentage, elementen die kopers over de streep moeten trekken. Daarnaast wordt de klantenservice aangepast: waar bezoekers nu snel naar de chatbot worden geleid, moeten de opties om te mailen of te bellen beter vindbaar worden. Ook wordt het makkelijker om illegale inhoud te melden. Eerlijkere concurrentie voor verkopers Voor zakelijke verkopers belooft Bol snellere communicatie en klachtenafhandeling en duidelijkere algemene voorwaarden. De concurrentie moet eerlijker worden: Bol past aan hoe het bepaalt welk aanbod als eerste prominent in beeld komt, het zogeheten koopblok, en zegt toe verzamelde platformdata niet te gebruiken om zichzelf als verkoper te bevoordelen. Van dat laatste is Amazon wel eens beschuldigd, hetzelfde Amazon dat vandaag als vijfde bedrijf ooit meer dan drie biljoen dollar waard werd. Het gaat vooralsnog om toezeggingen: het ontwerpbesluit ligt van 3 augustus tot en met 13 september ter inzage, waarna de ACM een definitief besluit neemt. Chinese modellen: minder krachtig, maar efficiënter en goedkoper In China verschijnt de laatste weken het ene na het andere AI-model. Anders dan de Amerikaanse modellen van OpenAI en Anthropic, die vooral hun kracht laten zien, zetten de Chinese bedrijven in op efficiëntie: hun modellen kosten minder energie en geld, en zijn vaak te downloaden en lokaal te draaien in plaats van via een duur abonnement. Het jongste nieuws komt van Alibaba en DeepSeek, met respectievelijk Qwen3.8-Max en V4-Flash, allebei zogenoemde open-weights-modellen waarvan techneuten deels kunnen inzien hoe ze reageren. DeepSeek zorgde anderhalf jaar terug met zijn V3-model voor een vergelijkbare schokgolf en wil naar verluidt naar de beurs. Alibaba staat daar al genoteerd en zag zijn aandeel vandaag met zo'n zeven procent stijgen, omdat het nieuwste model volgens een AI-vergelijkingssite alleen onderdoet voor Fable 5, het topmodel van Anthropic. Bol doet toezeggingen aan ACM voor betere bescherming consumenten en verkopers Bol en ACM maken afspraken over meer transparantie op het platform Amazon overschrijdt als vijfde bedrijf ooit de grens van drie biljoen dollar Alibaba presenteert open-weights-model Qwen3.8-Max met 2,4 biljoen parameters Chinese labs zetten met open weights en lagere prijzen druk op VS Over de maker:Joe van Burik volgt en duidt de belangrijkste ontwikkelingen in tech, met scherpte, vlotheid en de nodige humor. Je hoort hem dagelijks op BNR Nieuwsradio over het belangrijkste technieuws, van AI tot cybersecurity en social media tot quantumcomputers. Ook interviewt hij in De Grote Tech Show samen met Ben van der Burg leiders in digitale innovatie. In het bijzonder volgt Joe al twee decennia de wereld van videogames, nu voor zijn podcast All in the Game.See omnystudio.com/listener for privacy information.

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right.A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU now up >10x from Jan 2026. Less than two weeks after their July 9th launch, OpenAI said ChatGPT Work and Codex had reached 10M users combined (as we cover in the pod, Codex now powers ChatGPT Work, so all ChatGPT Work users are now users of the Codex harness, even if they aren't traditional engineers) — showing the early innings of what happens when you graduate from coding agents to knowledge work agents:We've been calling out how coding agents are “breaking containment” to do everything else this year to power every other part of knowledge work - and it started with the org chart, with a major reorg last month that amounted to two of Codex's most prominent leaders, Greg and Tibo, taking responsibility over product and ChatGPT specifically, completing a “Superapp” consolidation cycle first discussed in March.With these updates Codex is no longer just a coding tool. In June, OpenAI said knowledge workers already accounting for roughly 20% of Codex's user base and growing more than 3x as quickly as developers. A product dedicated for knowledge workers was being pulled out of the Codex team.However, knowledge work has a different set of problems and environments than coding. For decades, knowledge work has been scattered across different primitives like documents for writing, spreadsheets for analysis, slide decks for communication, and specialized applications for everything else. ChatGPT Work now enables users to work across every primitive with agents. Instead of opening an application and manually operating its features, the user can describe an outcome and collaborates with an agent that can assemble the tools, context, and artifact needed to reach it.From building no-code products at Airtable to leading Productivity Engineering at OpenAI, Akshay Nathan has spent much of his career trying to make the power of software accessible to people who do not write code. In this episode, Akshay joins swyx and Vibhu to unpack the launch of ChatGPT Work, why Codex unexpectedly took off among non-developers inside OpenAI, and the company's broader plan to bring useful agents from software engineers to knowledge workers and eventually everyone.We go deep on the shared agent harness behind Codex and ChatGPT Work, why OpenAI brought the experiences together without making them identical, and how persistent computers, artifacts, Sites, plugins, memory, and sub-agents are changing what people can delegate to AI. Akshay explains why some teams are replacing decks and spreadsheets with interactive websites, how agents can gather context across code, Slack, documents, and local files, and what OpenAI learned from personal-agent products like OpenClaw.Side note: also don't miss Abhihek's sandbox track keynote at AIE, which now powers a lot of the sandboxing for ChatGPT Work… and yes was also broken by an unreleased OpenAI model in the recent HuggingFace incident.Akshay also reflects on how AI is transforming product development itself: why more people will become generalists with a specialty, why ideas and taste become the bottlenecks when almost anyone can build, why LLMs still struggle to generate genuinely grounded new ideas, and why teams must distinguish increased motion from actual progress.We discuss:* Why Codex unexpectedly took off among non-developers inside OpenAI* Why employees felt like using Codex gave them a new superpower* The product insight that led OpenAI to build ChatGPT Work* Why Codex and ChatGPT Work share the same underlying agent harness* How their UX, Git visibility, artifacts, and sandboxing defaults differ* Why OpenAI merged its agent experiences instead of building separate products* How AI is blurring the boundaries between engineering, design, strategy, and operations* Why OpenAI wants the default model configuration to work for most users* When power users should use deeper reasoning, Ultra, or multi-agent modes* Artifacts, agentic spreadsheets, and creating high-fidelity work products* Why interactive Sites may replace decks and spreadsheets* The challenge of designing a simple interface for an agent that can build almost anything* Why users should retry tasks that models could not handle three or six months ago* How AI can gather context for performance reviews without replacing human judgment* The OpenAI automation that turns internal Slack and document activity into memes* What reaching ten million ChatGPT Work and Codex users means for the product* How OpenClaw inspired persistent environments, scheduled tasks, and personal agents* Using ChatGPT for financial planning, budgeting, workouts, meals, and household management* The design tradeoffs behind sub-agents and how much of their work users should see* ChatGPT memory, Chronicle, and long-term context* Why AI may make more people generalists with deep specialties* Why ideas and taste become more important when almost anyone can build* Why LLMs still struggle with the instruction “bring me new ideas”* Measuring productivity through quality at-bats instead of commits, tokens, or pull requests* The critical difference between AI-generated motion and meaningful progressAkshay Nathan* LinkedIn: https://www.linkedin.com/in/akshaynathan/* X: https://x.com/akshaynathan_Timestamps00:00:00 Introduction and Bringing the Power of Code to Everyone00:01:33 Joining OpenAI and Preserving a Startup Culture00:02:40 What OpenAI Learned from Enterprise AI Adoption00:05:28 Why OpenAI Built ChatGPT Work00:07:17 Codex vs. ChatGPT Work and the Shared Agent Harness00:12:07 Why OpenAI Merged Its Agent Experiences00:16:24 Models, Reasoning Levels, and Choosing the Right Default00:20:26 Artifacts, Agentic Spreadsheets, and Model–Product Collaboration00:24:22 Why Sites Could Replace Decks and Spreadsheets00:30:08 Designing an Agent That Can Build Almost Anything00:34:28 From Developer Agents to Knowledge Work—and Everyone00:36:07 Power-User Advice and AI-Assisted Performance Reviews00:40:41 OpenAI's Internal AI Memes and the Ten-Million-User Launch00:44:39 OpenClaw, Personal Agents, and ChatGPT as an Operating System00:50:24 Sub-Agents, Ultra Mode, and How Much Control Users Need00:54:39 ChatGPT Memory, Personalization, and Chronicle01:00:19 How AI Is Reshaping Product Development and Tech Roles01:03:15 Ideas, Taste, and Why LLMs Struggle to Generate New Ideas01:04:42 Measuring Productivity, Quality At-Bats, and Motion vs. ProgressTranscriptIntroduction: Akshay Nathan, ChatGPT Work, and the No-Code ArcSwyx [00:00:00]: We're here in the studio with Akshay from OpenAI. Welcome.Akshay Nathan [00:00:07]: Thank you.Swyx [00:00:08]: And with our trusty co-host, Vibhu. So you recently launched ChatGPT Work. You lead Core Product Engineering. It's been a long journey, into all this. I find it very interesting that you started with no code or low code, with Walrus and Airtable. And to some extent, ChatGPT Work is like the super app of super apps of, well, here is the ultimate no code. You just write a prompt.Akshay Nathan [00:00:32]: Yeah. It's funny how things come, full circle. I think for a long time in my career, I started my career working consumer fintech, but then after that, like, there's this hypothesis that, the things that we were able to do with code, like, as engineers, like, if we could bring that to many more people in a more, accessible way, then that would be truly magical. We were working on a startup. It's funny, like, before LLMs, before vision LLMs, on how to do automated testing with AI. It was just kinda jank, back then, but doing what we can, and then worked at Airtable for a while on the same thesis that, like, if we can bring a database or the primitives behind a database to people, that'd be really useful to them. But once LLMs came onto the scene, it became clear that, this was the missing piece, like, the missing technology required to, like, bring the magic of code to everyone without them having to know what's going on underneath the hood. And so, like, I think this launch and a lot of the stuff that we've been up to is, like, the manifestation of that.From Walrus and Airtable to OpenAIVibhu [00:01:33]: How was stuff when you joined? So you joined OpenAI 2023. Now we've got, so much more stuff, so ChatGPT, Codex app, ChatGPT Work. Have things changed?Joining OpenAI and What Hasn't ChangedAkshay Nathan [00:01:44]: I think the more interesting thing is how things haven't changed. Like, one, I joined I remember when I joined, it was, like, five hundred people. One thing I was worried about was, like, I was looking for something, more early stage and, like, was it gonna feel startup enough? And I joined, and I was like, “This feels even more startup-y than I could ever imagine.” And, like, that really hasn't changed even till now. I think the, like, level of, like, bottoms-up ambition and, like, the ability of anyone to, like, do anything or have an idea and ship it is really cool. But on the, like, mission side, I think what was really compelling to me is this mission of, bringing frontier intelligence to everyone. Like, building AGI and then bringing it to everyone. And, I think acknowledging back then that, like, that vision is gonna, not be a linear progression. Like, we're probably gonna, like, try different products and have different things that succeed and don't. But the vision has stayed the same, and the mission has stayed the same, and we're starting to see the pieces, fall together, and that's really cool.Enterprise Lessons: No One-Size-Fits-All AISwyx [00:02:40]: You worked on Enterprise. What A lot of people never touch ChatGPT Enterprise. What is something that you learned from there that you're bringing into your work now?Akshay Nathan [00:02:52]: I think how there's no one-size-fits-all solution in Enterprise. I remember in the early days of ChatGPT Enterprise, like, when we talked to customers and, like, everyone. That was, like, when I think it was a year after ChatGPT was released, and everyone was so excited to bring, AI into their enterprise. And, there were all these teams being stood up. It was, like, the AI deployment team with, like, these enormous budgets. And if you asked anyone, like, what were they excited about? Like, what were they excited about solving? Like, at first, you'd get, like, kinda like the baseline answers of, like, “Yeah, we have all this context and data and all this stuff.” But then if you ask them, like, “What was, like, a discrete use case that, like, they want AI to enable in their workplace?” You get such a different, like, variance, like, explosion of, different types of answers. And it's interesting, like, you using, like, these models and these products, you have this box, and you can say anything to it, which is the magic. But it'on the flip side, it also means that, like, you don't know what to do with it. And in Enterprise, I think a big part of that is, like, meeting the users where they are, like, what use case were they trying to solve, and then teaching them how they can use AI to, like, gain leverage there.Swyx [00:03:56]: Do you meaningfully differentiate that from forward-deployed engineering?Akshay Nathan [00:04:01]: I think there is the go-to-market side of it and then there is the product side of it. I think you need someone on the product side. And I think, like, however good we get at FDE motion, like, I think at the end of the day, if we have a user who's, like, looking at their computer or looking at their phone, like, it's our job in the product to, like, be enabling them and showing them where to go. So we're really excited about that.Vibhu [00:04:24]: Do you think there's been changes, over the past three years of adoption? So there have been, step function changes. You have reasoning models and whatnot. Is there still the same problems of Enterprise has black box, don't know what to do with it, or have things changed?Adoption, Agents, and the Next 10x MarketAkshay Nathan [00:04:39]: We're seeing now that, like, there's this huge uptake, right? Everyone is extremely excited about it. It feels like, many people are, millions, hundreds of millions of people are using ChatGPT. They understand, like, how generally to work with AI. But then, like, every time, like, a new capability gets unlocked, so now, like, we're seeing with agents, like, there is probably a contingent of, like, early adopters still who, truly get it, who are like, “ we you can do anything. You just have to make sure the right context is there, it's connected to the right tools, and that you are supervising it, but, like, anything is possible.” But then there's, like, this, like, 10x or 100x bigger market where, like, they don't yet get that, or they don't yet see that. And so I think that's the next stage here. So to answer your question, like, I think the adoption is there and growing fast, but I think the opportunity is, like, far bigger than that. That's where we wanna play, especially with ChatGPT Work.ChatGPT Work, Codex, and the Super App MergeSwyx [00:05:27]: Yeah. well, let's, let's skip ahead to ChatGPT Work. only, like, a month ago or so, announced. what was the decision process that led into it? there was this, overall merging of the super app. Is that what we're officially calling it? you deprecated the browser as well. Just, summarize your last, like, couple months of working on this thing.Akshay Nathan [00:05:50]: Yeah. It feels like forever now, but it's only been a few months. I think maybe the one, impetus that, like- Is most salient is when we release Codex, or even internally had Codex, like, it was really surprising to us, I think we recently put out some stats on this, that there was this, like, real inflection of, like, adoption among non-developers at OpenAI. And, I, through this product development process, like, would go to, like, these UXR sessions to talk to people internally. And the thing that stuck out to me is, like, one, like, you go talk to, like, strategic finance or marketing or whatever, and they're all using Codex for, their use cases. That part's cool, but the thing that really stuck out to me is how proud people were that they were using Codex. Like, how, likeSwyx [00:06:34]: It's like, “I'm not supposed to be using it, but I am.”Akshay Nathan [00:06:36]: It was that. It was, like, that they were, early to this, like, new thing, but it was also this thing of, like, they felt like they had a superpower, right? And, what we recognized then is that, like, the power of Codex, the power of agents, like, we already had this massive distribution base of people who have, come to know and love ChatGPT. Like, how do we show that to them? Like, how do we bring it to them? Which is, like, a hard product problem, and it's, like, a tricky thing, right? There's many ways you can go about it. And so that's what we called the Merge and the Super App over time, and ultimately launched it in ChatGPT Work, is how do we do that? But it came from that initial realization that, like, the power was not only for developers, like, much earlier than probably even we thought. Like, it could be extended to everyone.Swyx [00:07:17]: How do you see the products differently? So, like, who is it for, right? So Codex started out even CLI, then app. Now there's a merge of ChatGPT Codex and ChatGPT Work, so is it the opening for the average user, for enterprise, for work? How do you position it?Akshay Nathan [00:07:36]: I think we want to get it to position it for if you're doing work-related things, for lack of a better word, right?Who ChatGPT Work Is ForAkshay Nathan [00:07:42]: I think productivity is what, like, the pillar that I support. Like, that's the name of the team. And the reason for that, the reason we call it productivity and not, like, enterprise or, like, work or something like that, is because there's also personal productivity, right? And, like, I think ChatGPT Work is I've seen people do things in their personal lives that you wouldn't classify as, like, work technically, but, like, these agents are, super capable for. Like, one recent example that someone posted about, on our Slack is, like, someone had, like, a missed package, like they didn't receive it, and then they got, like, the picture of it, from Amazon or whoever the courier was, and they, like, asked ChatGPT Work to, like, find out where that package is. And, like, the agent, is extremely tenacious and, like, took the image and, like, looked at a bunch of, like, listings around their neighborhood and figured out exactly the apartment complex in which the package was, like, gave them some information. And so, like, I think there's all these things that, like, you, work-related or productivity-related things, I think that's what we want the product to be. You asked about Codex. I think we think Codex is, a durable brand, but we have a principle that, like, the user we don't want a user to get stuck in a tab or an experience where they don't get the power of the product. And so, like, everything that you can do, in the Codex portion of the product on desktop, you can do in ChatGPT Work and vice versa. But we made some opinionated product decisions on, like, how much of the Git state, if you're in a Git repo, do we wanna expose to the end user? Or how much do we wanna make the experience of seeing the agents thinking, like, diff forward so that you get exposed to the diffs out of the box. And then, like, on the safety side, like, how do we wanna think about, like, sandboxing and making sure that we have the right defaults in one state versus the other? So, there's, like, some opinions that go behind that, but we do want We don't want the user to need to choose which experience they're in.Swyx [00:09:26]: That is a good goal for AGI, right? Like, people don't want, like, to hide to choose what version of AGI they want. They just want the AGI to decide for them. can I get an answer or, like It's not super clear to me. Is the Codex harness and the ChatGPT Work harness the same? Is it just UI affordances, or are there prompt level or even deeper differences?Shared Harness, Different UX: Codex vs. WorkAkshay Nathan [00:09:49]: So the harness is the same. The harness is shared. on In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plug-ins or computer use or artifacts. You get that power regardless of which experience you're in. On the UX side, there's opinionated takes that we have when you're in Codex mode, what the UX should be how the UX should behave, and some stuff around the sandbox like I mentioned, but the underlying harness and capabilities should be the same.Swyx [00:10:16]: I'm just kinda curious. Maybe we can, -- Is there a query that we can run that would look different in the two modes?Akshay Nathan [00:10:23]: Yeah. I tried to create, like ask it to create, like, a retirement calculator spreadsheet or something, in both modes. And then in Codex mode, you might have to be in a repo for this, but you'll see, like, the diffs of, like, the sheet that it's creating and stuff like that, and the file edits. But in Work you won't be able to see that.Swyx [00:10:42]: I think that's, that's super clear. And then also the other thing I wanted to dive into was your, the productivity team. what else is there? first of all, what are the top-level teams other than productivity? Isn't productivity everything?Productivity Teams and Core ChatAkshay Nathan [00:10:55]: SoSwyx [00:10:55]: Science?Akshay Nathan [00:10:55]: We have a team focused on ChatGPT. Like, the core chat experience, for consumer, which is like, not, I think all productivity. Like, there'People are using ChatGPT every day for search to, figure out how to write messages to loved ones, to think about, how to, like, learn a new topic, et cetera. And so there's so much more inside to create images. And there's so much more in chat that, the hundreds of millions of users are using that warrants, like, a very dedicated effort. And there's teams focused on enterprise and infrastructure and API and stuff like that, so.Swyx [00:11:33]: I will bring it up.Retirement Calculator Demo and Git-First UXSwyx [00:11:34]: Yeah. So I have them both running. This is ChatGPT Work. There's a Codex version here. I picked “Five Little Ducks” song, so this will take a while.Akshay Nathan [00:11:43]: Huh.Swyx [00:11:43]: I think we'll just keep it in the background and, as they finish, we'll look into some of the differences.Akshay Nathan [00:11:48]: Yeah. But immediately, I think if you flip back to the Codex version you'll see that,Swyx [00:11:53]: That it assumesAkshay Nathan [00:11:54]: Like theSwyx [00:11:54]: It assumes Git. Yeah. Yeah.Akshay Nathan [00:11:56]: The, like, dynamic island assumes that you're in a Git repo. And you might miss some stuff because some of it is, like, in the actual chain of thought with those changes and how we display that, but yeah.Swyx [00:12:07]: Is there an unintuitive like, is there a thing that you wanted to ship and then you got feedback, and you were like, “No, let's not do it?” Like, what's the thinking behind that?Why Merge the ExperiencesAkshay Nathan [00:12:14]: In, ChatGPT Work?Akshay Nathan [00:12:17]: I think one direction we could have gone with this is, like, keeping the experiences, like, completely separate. So it's like, whySwyx [00:12:22]: Different apps.Akshay Nathan [00:12:23]: Exactly, like different apps or even in the same app, like different, completely different experiences. Like, why merge it all? Like, what is. Codex, people love. Like, why bring these products together? And I think the intuition here is that, like, all of our jobs are, like, changing dramatically with AI. Like, for, like, every few months, like, I feel like I wake up, and I'm, like, doing a completely different thing than I was doing a few months ago. And my hypothesis here is that, or I should say our hypothesis is that, like, part of what we're, we're building, this technology is giving people leverage. Like, the things, maybe it's the more mundane parts of your job or parts that, like, if you were able to automate, you'd be able to share more ideas faster or whatever, like, you're able to do now. And because of that, like, that might blur the lines between someone who's, like, only writing code or creating strategy docs or, planning events or, helping with marketing or doing podcasts or whatever, right? And so, like, these things are gonna get blurred over time. And so, like, trying to draw a hard boundary based on, like, the who you are is gonna be, is gonna be tough. And, like, we should enable users to choose, but we shouldn't box them in. And so a lot of the work that went in here, like, keeping the primitives the same, like for example, plugins are, like, unified across, this product and ChatGPT and the cloud, was because of that. It's this thesis that, like, eventually things are gonna come together and we don't wanna be Like, we wanna be prescriptive about when to be in either experience, but we don't want to box anyone in.Swyx [00:13:45]: I wonder if there's users who are very tuned to the old ChatGPT harness that is effectively now replaced by the Codex harness. I can't imagine what that was, but maybe they're more the more conversational side. Can you compare and contrast the two harnesses? ‘Cause only you've seen it.Akshay Nathan [00:14:02]: Yeah. I think ChatGPT, the existing harness, like, still exists today. Like, it exists in this app,Harness Engineering: ChatGPT vs. CodexSwyx [00:14:08]: The classic, right?Akshay Nathan [00:14:09]: TheVibhu [00:14:09]: You just start a new chat, and you don't go under Work, right?Akshay Nathan [00:14:13]: Yeah. If you startVibhu [00:14:13]: SoAkshay Nathan [00:14:14]: A new chat and go to chat, then you're, you're talking to ChatGPT with the instant model.Vibhu [00:14:16]: Oh, we can technically do another. But on instant.Swyx [00:14:21]: Yeah. So this one's not gonna code or it's gonna be in line. It's on a in line in a sandbox.Akshay Nathan [00:14:26]: It'llVibhu [00:14:27]: Oh, that's coolAkshay Nathan [00:14:27]: We try to push you to go to Work if you're creating a spreadsheet. Yeah, but this isSwyx [00:14:30]: And this is a router decision? Sorry. Is it a router decision?Akshay Nathan [00:14:34]: This is the decision that, the model is making, and then, like it sees that you're able to. or you're trying to do something that would be better served in Work mode. But I think your question was like, what are the advantages of, like, the chat, like ChatGPT chat harness?Swyx [00:14:48]: It's more broadly, like, I wanna, do an oral history of harness engineering. Right? the ChatGPT harness lasted us from, let's call it the ‘01 era, until now, and now it's being replaced by the Codex harness effectively. And they're, they're overlapping somewhat, but I'm curious what changed if there is.Akshay Nathan [00:15:10]: My perspective on this is, like, there's, there's, there's there's like a constant process of, like, divergence, convergence, divergence, convergence. And in chat, like, many of the use cases I was talking about before, like, search or learning, I think we're, we're really optimizing for latency and optimizing for personality and, like, different things that, over time, like the product The reason people love ChatGPT is because we've been optimizing for those things and working on them for so long. Codex, what we learned was that, like, if you give the agent access to this infinitely flexible environment as a computer, it can do really powerful things. And so when we think about, like, okay, well, for knowledge work, like, what is which mode should we choose? It was like it felt more natural to us to bring that to this, like, computer environment and, maybe abstract some of the details of this computer away from users who might not be used to that, but, like, give them that same power. But ultimately, I think that we want the power in all places, right? We wanna meet people where they are. So I'm sure there'll be work down the road in order to get things to be, equivalently capable in all scenarios. But it's just a question of, like, what we've been focusing on the product on historically and what we're focusing on now.Models, Defaults, and the Reasoning SliderVibhu [00:16:24]: I think alongside that, outside of just harness and when to use Codex, ChatGPT, or Work, there's also the new models you've released, right? any guidance there? So people love to min-max what to use, like only use Terra on high reasoning versus, for this, you wanna use Sol here, ignore all theseAkshay Nathan [00:16:44]: There's 32 options.Vibhu [00:16:46]: But, that being said, for people that are expanding, so, productivity trying stuff for work that don't have the breakdown of what all this is what's, what's the advice, right?Akshay Nathan [00:16:59]: Well, I think before the advice, like the first thing is, like, none of this would be possible without these models. Like, the, I think you asked earlier, like, what was, like, the inspiration for work and, like, early on, like I mentioned, like, what we were seeing with Codex, but that was also because the models were getting infinitely more capable. That's happening again. I think it's like another step function jump now. And to answer the question on advice, like we want this default to be the best possible. Like, we wanna be opinionated about the default, and so we've we've chosen a default that we think is gonna be the best for everyone. And, we have for power users options under the hood. We could One could argue that there might be too many right now, and we're, working on simplifying it. But you can extend, the reasoning level, and you can change between the different model classes if you need to, but the default should be the best for most use cases. So my advice to most people would be to stick to that. And then, if you reach a situation in which you think that you could, you wanna try, a different configuration, if you're not seeing either the efficiency on the cost side or the quality on the intelligence side, then you can change the defaults and see if you can get something better. But we think that the default should be good enough.Swyx [00:18:09]: I have, I'm just gonna run something by you since you have way more experience than me. I've recently been doing Sol Lite but with goal, with the idea that the goal augments the reasoning effort, but with more terminations and turns.Swyx [00:18:24]: Is that a good way to think about it as opposed to Sol Ultra or Sol, Extra High?Akshay Nathan [00:18:29]: Yeah. It's hard to say becauseSwyx [00:18:31]: Yeah. It's like an interaction effect.Akshay Nathan [00:18:33]: exactly. It's like there's a preference on, for you as an individual, like how do you like to collaborate with the models? Like how many of those like terminations, as you call them, do you want where, you can steer or make sure that it's doing the right thing?Akshay Nathan [00:18:46]: I think generally people should try whatever works for them. I think that like using Ultra or the like multi-agent setups are best for like when you have like tasks that are either incredibly complicated, like open explorations or very paralyzable. I think even for tasks using goal, I think is best for tasks that you'll be able to make consistent progress in a way that's verifiable over time. But I think for most tasks, they don't fall into either of those buckets. And so like at least when they're starting, and so that's why I think the best first step is like trying it with the default configuration and then seeing like where you wanna go from there.Swyx [00:19:29]: Right. You guys worked on a slider, which is super helpful for reducing the amount of panic.Vibhu [00:19:36]: It's nice on mobile at least. There's a nice slider there.Swyx [00:19:38]: It's nicer.Vibhu [00:19:39]: I haven't tried it.Swyx [00:19:40]: So you have the advanced view there, but if you click advanced view. Yeah.Vibhu [00:19:44]: Ooh, it's just a nice slider. Yeah.Swyx [00:19:46]: Very pretty, very colorful.Akshay Nathan [00:19:48]: Yeah. The idea was here was like reduce it to like one dimension even though there's multiple dimensions, right? Try to project it onto a single dimension for the user. Like, something from that represents like, speed and efficiency on one side and then like quality and thoroughness on the other side.Artifacts, Spreadsheets, and the Work LaunchSwyx [00:20:04]: I am just puzzled that it uses Sol so much, like the lowerVibhu [00:20:07]: NoSwyx [00:20:07]: Grounds I would've usedVibhu [00:20:08]: I think the slider, if I'm not mistaken, isSwyx [00:20:09]: Terra.Vibhu [00:20:10]: Oh, it is.Swyx [00:20:11]: Yeah. See? So they preset Terra to only be the light one. But like I think a lot of people would more people should use Terra. One, because Sol keeps running out of capacity.Vibhu [00:20:22]: I'm the reason. Here's ten minutes of ourSwyx [00:20:24]: There you goVibhu [00:20:25]: Retirement calculator.Swyx [00:20:26]: Oh, that's the Excel thing working for you.Vibhu [00:20:28]: This is,Swyx [00:20:28]: Oh my God. Look at thatVibhu [00:20:28]: This is work, and then Codex is still cooking, so we'll get back into it. I think it'll be interesting to see the thought process, the reasoning, and also, this is eight minutes on work. Codex is still cooking.Swyx [00:20:41]: Yeah. And by the way, so I've, do Gabriel Chua? He's part of the OpenAI Singapore team. He showed me this, and I was like pretty shocked that this looks like Excel. It edits Excel files. You never paid an Excel license, right? Like, but somehow this is like workable and it's agentic Excel.Akshay Nathan [00:21:01]: Yeah. one of the big like pushes that we made for this launch was like artifacts, right?Akshay Nathan [00:21:05]: Like both on the model side, like I think if you compare this with GPT-5.5 and GPT-5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of these artifacts and then also on the product side.Vibhu [00:21:16]: The UX side is also crazy, like hosted sites and whatnot. No longer needing to host your own little webpage, like itSwyx [00:21:23]: Oh, I have a story about that. I can do, a separate thing. I'll need to take the visuals here, but we-we'll, we'll cut to that later. Was there co-training, because you were moving making this big move and you launched GPT-5.6 on the same day as ChatGPT Work? Was there influence between the model training teams and the harness teams, or did they did the launch dates just happen to line up the same day?Akshay Nathan [00:21:46]: I think the we collaborate heavily with the research teams, and I think that's like one of the most magical parts of the job, like the most fun parts of the job. But yeah, just using artifacts as an example. Like, a lot of what you're seeing, like underneath the hood, there's a lot of work that went into making sure that like, we had the right infra to be able to train the models to get better at this. And then on the product side, like had the right experience for users to be able to collaborate with the model on an artifact like this. In fact, like this whole viewer, like the intuition here is that like, it's not necessarily that you wouldn't need an Excel license. This is stage one, right? Like, this is probably not what you meant when you're like making a retirement calculator.Vibhu [00:22:24]: Yeah, you can iterate very easily. Yeah.Akshay Nathan [00:22:24]: You wanna iterate and like when you're seeing it, and if this thing is high fidelity to like what you would see in or what your coworkers would see if you were to send this to Sean, like that I think makes it so easier and makes you trust the product in terms of iteration.Vibhu [00:22:39]: When you say coworkers would see, do you see a multiplayer, multi-team collaboration with artifacts? Any things you guys think about that?Multiplayer Artifacts and CollaborationSwyx [00:22:46]: You can already share it, right?Akshay Nathan [00:22:48]: Yeah. It's inter It's something that, we're actively thinking about. one thing that, we've noticed internally without talking too much about the roadmap is that like there's many times when someone will ping me about something, and I will ask ChatGPT Work the question, and then I'll ping them back the answer.Akshay Nathan [00:23:04]: And then I'll be thinking likeVibhu [00:23:04]: Like the simplest would be, the three of us are just all on one hosted.Akshay Nathan [00:23:07]: Exactly. And I'll think about like was I required in this loop or and then maybe it was, rephrase like what they were asking or pulled from certain context or whatever. But like, when I gave them back the answer, that process was also lossy, right? Like I gave them just like my interpretation of what ChatGPT Work cooked up. But like underneath the hood, there's so much context like in the rollout and stuff that could be interesting.Vibhu [00:23:28]: Yeah, it'sSwyx [00:23:28]: So like the answer was preemptively respond to every inbound request?Akshay Nathan [00:23:33]: No, it was just like literally like this is what I do sometimes as my job.Swyx [00:23:36]: I know you copy-paste and then you're just a message forwarding serviceAkshay Nathan [00:23:39]: Yeah. Yeah, exactlySwyx [00:23:39]: From AI to AI.Vibhu [00:23:40]: But I think it's interesting, right? It helps people understand the capability of what you can ask and delegate that oftentimes people don't realize until they try or someone shows you, and then you're like, “Oh, okay. Okay, I see.”Swyx [00:23:52]: I think it's als there's also like a, light security issue, where like you're the permissions layer. Like yes, I could query everything that you query, and I could get an automated response, but maybe I'm not supposed to see it. And that there's no way I would know because I'm not supposed to know what I don't know.Akshay Nathan [00:24:07]: Especially as like, with ChatGPT Work, we're, we're asking you to connect your plug-ins and, it's pulling from your local files and stuff like that. Like the amount of context that the agent has access to is like- Deeply personal and like that's something I think we need to preserve, so that'll be definitely a challenge.Swyx [00:24:22]: There's Excel, there's PowerPoint, there's Docs, the, grand trio of work. What other formats of work do you think about? like you worked on Airtable. Is there a future where there's like OpenAI Airtable? Like what does that look like if you ever ended up doing it?Akshay Nathan [00:24:41]: It's a really good question. I think,Formats of Work: Sites as Knowledge ArtifactsAkshay Nathan [00:24:43]: one that you didn't bring up was Sites, and I think that wasSwyx [00:24:46]: SitesAkshay Nathan [00:24:46]: A core part of this launch. There's one side of Sites that I think people commonly talk about, especially on Twitter and stuff or X, of like, this like prototyping tool. And like we saw that happen with this launch even. The model slider that you guys were referencing earlier, like that was developed almost fully in a Site. Like, the collaboration between design and engineering and product on that was like on a site where we play with, the affordance and figure out how it feels and all of that. But the other aspect that I think is a little bit less talked about is like Sites as like an artifact for knowledge work. I was talking to someone the other day who's on like our corporate finance team, and like we were mentioning how like now when they have these reports that they're, they're working on as a team month to month, historically those things were in slide decks and in spreadsheets, and now they're just in Sites. And like Sites is the mechanism that they collaborate across the team. And the reason is ‘cause it's like, it's like somewhat higher bandwidth. Like, at these tools like PowerPoint and Excel are like infinitely flexible, but at some point you reach the boundary of like either as a human you may not know how to use some feature or something, or the product itself doesn't support it. But with a site you can do anything. You ask for anything and you can get that. once people see that magic, I think it's been really valuable.Swyx [00:26:02]: Yeah, let me show you my case study. this involves all the hot topics including ChatGPT Work, but also GPT-5.6 token billionaires and token maxing and Sites and auto research. I'm a fan of this game called Strata. It's, it's like a little board game that youSites, Auto Research, and Research DashboardsSwyx [00:26:17]: That you play with, physical blocks, that come on top of it like that. So over the weekend I took like thirty photos and just threw into ChatGPT. one point seven billion tokens later, out comes this site with a fully playable thingAkshay Nathan [00:26:32]: WowSwyx [00:26:32]: With 3D, block placement and everything. Because it requires physical blocks and I needed friends to train on it so they can get better, so I can play against them. But also, I could also, do things like train an AI on it and that's, thatAkshay Nathan [00:26:45]: That's your auto researchSwyx [00:26:46]: That gets into auto research. So, you want to train your own AIs, and then make sure they self-play against, each other. I need to set both AIs. So this is AI versus AI, and they're, they're gonna self-play. the AIs start out bad and then you want to define a loss function and get good. I wasn't gonna supervise all this. I was at, I was down in San Mateo, attending a conference. What I ended up doing was, auto researching and on this and creating benchmarks and that there was just way too many parameters for me to read. So I started asking it for a site, and it's created this lab, panel. Where is there a, is there a shortcut for a site that is created?Akshay Nathan [00:27:28]: You should be able to go in the sidebar to Sites, top of the sidebar. The left sidebar.Swyx [00:27:33]: This one? Oh, left?Akshay Nathan [00:27:35]: Yeah. Just scroll all the way to the top.Swyx [00:27:36]: Oh. Oh, it says Sites. Oh, there you go. Yeah.Akshay Nathan [00:27:39]: Ooh.Swyx [00:27:40]: So it create, it creates the sites. I don't, I don't think this is, it is exactly what I wanted, but let me show you what it popped up, right? Like I think as a research artifact, it is very important to communicate, exactly, what is being done. Outputs this thing which I eventually started publishing. So I moved it off of Sites because I wanted more, database and infrastructure than Sites afforded me. But this is like a research output that you can start to mess with and like try to think about like what hyperparameters are you tuning for training AIs. And like I was trying to make like scaling laws and everything and doing all sorts of like game optimization stuff. And the fact that you can just throw this up as a research artifact, like I no longer need to read ChatGPT output. I read Site output. But then there's also a huge sprawl. Like look at how long this thing is. There's so many numbers. It is pretty overwhelming, so then I have to start pruning it from there. But, it's an interesting transition from Markdown effectively that you're putting out to, you're putting out a whole functional site.Akshay Nathan [00:28:41]: I think Markdown just isn't that optimal for people to read, right? Might as well just write HTML website and I don't know. I think you can do a lot with customizing this, right? You have your skills that explain what you want. Like I noticed they're quite verbose. I don't need a lot of this information.Swyx [00:28:57]: It's very verbose.Akshay Nathan [00:28:58]: So and then the nice thing of having a site side by side is, you just iterate on what you want and what you don't, right?Swyx [00:29:05]: Yeah. I don't know if, any that triggers any stories for you of how it's run internally. Am I doing this right?Akshay Nathan [00:29:11]: Yeah. I think that this is like a workflow that we're seeing like all different types of teams use, where like the canonical artifact that was previously a deck or something is now becoming a site. And like with a site you, because it's just HTML, you can like. It's infinitely flexible. And so, if you want to give more prominence to a certain thing that like in a slide deck would, feel like it was buried, like you can do that. You can have it be like the hero image, right? And so I think that like, people are starting to see that. There's more work to be done to make these things like much more easier, easy to collaborate on. You mentioned that they're very, they're long and verbose, could be broken up. I'm sure that there's still something to do there.Swyx [00:29:53]: They're super long. Yeah.Akshay Nathan [00:29:54]: Yeah. But I think we're starting to see that like there is this aspect of this is a really interesting, format, for people to use, that's like much more flexible than what they ever had before.Swyx [00:30:07]: I think your job also comes becomes meta. You're not designing the products. You're designing a product to make products, and I'm curious how you manage that.Designing a Product That Makes ProductsAkshay Nathan [00:30:18]: I think one thing that we've been Like when we look at the UX, like that we've been thinking a lot about is how can we balance like simplicity with capability? Like if we're designing a product, like you said, that like is made to make up build other things, right? You can build so many different things. But we can't put that all in front of you because you'll get overwhelmed.Vibhu [00:30:41]: Yes.Akshay Nathan [00:30:41]: And so we had similar problem or similar challenges even Chat-with ChatGPT, but especially now, like when there's so much that can be done, I think the balance that we're constantly trying to strike is like, how can we give the user enough of a UI surface where, they can be expressive, they can tell the agent what they need, they can verify that it's using the right tools, it's pulling from the right sources, et cetera, but then it gets out of the way. And then how can we build the right system such that we can show them instead of telling them what can be done? Because so much of this is gonna be like, how do they discover the next use case and the next one after that if they really want to be super powered by the AI.Games, Private Evals, and Show-Don'TellVibhu [00:31:19]: Yeah. It's interesting. I feel like everyone also just has a different way to do it, right? I made a similar version of this same game. I didn't take any pictures of board or rule game. I threw in at goal eighteen minutes, fifty-three seconds later, a lot of tokens later, I've got a similar version. not with all the auto research and whatnot, butAkshay Nathan [00:31:39]: You gotta do all the latest trends.Vibhu [00:31:40]: And yeah, I did it with, did it with Codex, not Work, but it's interesting, right?Akshay Nathan [00:31:45]: Yeah. And this is GPT Image generating the pro avatars. Very good for game design. LikeVibhu [00:31:51]: AndAkshay Nathan [00:31:52]: A lot of game designers were like really into GPT Image for assets.Vibhu [00:31:54]: I will say like the broader takeaway probably is the reason that we do this is more so just to test the tools, right? Like, this was also a test for GPT-5.6 came out. I had done the game on GPT-5.5, right? The ability for me to no longer need it to. I had to feed it the rules. It's, it's a pretty niche game. It couldn't find how to do this on its own.Akshay Nathan [00:32:15]: Oh, yeah.Vibhu [00:32:15]: GPT-5.6Akshay Nathan [00:32:16]: It is out-of-distribution, which is why I was also very keen on testing the GPT-5.6 capability.Vibhu [00:32:21]: But, this is just as work comes out, as new things come out, these are just our side ways to test things, right?Akshay Nathan [00:32:27]: Yeah. It's some private eval. That is not this private.Vibhu [00:32:31]: But also valuable because now you can send this to your friends and I learned about this game through seeing this.Akshay Nathan [00:32:36]: It's a hard game. He's very good.Vibhu [00:32:39]: It's good to when no one is competing with you. But yes, it's a classic RL problem of like self-play, bootstrapping your game AI. yeah, you see how easily work becomes personal and personal becomes work because the thing I do for personal, it directly informs people I work with because I showed it to them. They were like, “Oh, you can do that with GPT?” Which like I imagine is the growth strategy.Akshay Nathan [00:33:02]: Yeah. The show not tell is a big piece that, I think we've we're not still not fully cracked of like, showing people all the things that they can do with the product versus like trying to teach that to them through like, articles or onboarding or whatever.Akshay Nathan [00:33:18]: So meeting them in the moment.Vibhu [00:33:19]: It's a career risk for me, because I used to be in developer relations, right? Where your job is to show, and then you're like, “What do you mean? You don't, you don't need.” your job is to tell. And then. But the product people are like, “Well, we don't need you if our product is intuitive enough.” SoAkshay Nathan [00:33:37]: Yeah. that's the magic of the models. So you can tailor the telling or the showing to like specifically what the user needs, like what they care about, what they've done in the past, exactly where they are on the adoption journey. So I think that's like gonna be a super big opportunity.Vibhu [00:33:50]: Seems easier and easier now to tailor custom showing, right? People have different use cases. As much as you said you don't wanna segment different people into different buckets, right? It's also not that hard to for people that are in different categories. But the question, is you said your team is more broadly on. What was the term you used? Productivity?From Developers to Knowledge Work to EveryoneAkshay Nathan [00:34:12]: Productivity.Vibhu [00:34:12]: Productivity. So howAkshay Nathan [00:34:12]: Which is now work.Vibhu [00:34:14]: Is it work? Is there another distribution that we're not hitting? Is there a group of people that will have something different than ChatGPT, Codex or Work? Is there more that the mass isn't targeting?Akshay Nathan [00:34:28]: I see it as like a sequencing, like. The vision is like bring useful agents to everyone. We started with like developers. Like developers historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, Codex started. I think the next opportunity is like what we call general knowledge work, all the other functions around developers. I think when you go from developers to this segment, like there's inherent challenges with like, this show not tell thing that we're talking about, making the product more understandable, bringing in new capabilities that matter more for this cohort than matter for developers, things like artifacts, things like computer use, et cetera. And then I think like the same learnings, like similarly how we took the learnings from developers and brought it to, general knowledge work, the next stage will be like taking the learnings from general knowledge work and bringing it to everyone no matter what they're doing in their lives. And we're already seeing that a little bit. Like this game example that you have is, something that's like on the border of like fun and personal life to, your professional life. I use ChatGPT Work full-time at home for everything, like for whatever I'm doing. I used it the other day to come up with a meal plan and like, save that on the like computer environment that it has and something that I can continue going back to. Like is everyone doing that yet? Probably not because the thing says work on it, but eventually, we wanna get people there.Vibhu [00:35:51]: ChatGPT life.Akshay Nathan [00:35:52]: Yeah, exactly. ChatGPT cooking. But I think there's a lot of, there's a lot of opportunity there, but I see it as like, we're, we're built we built a foundation in software engineering, and we're gonna take the same learnings that we take from software engineering to knowledge work to everyone.Vibhu [00:36:07]: Do you have any power user advice? I feel like, there's a group of people that will live it, use it for everything, stay on it twenty four-seven. And then there's a bit of a gap between that crew and people that, okay, I use it for work. I use it occasionally. Sometimes I type questions. any advice, any learnings, anything you recommend or just, takeaways that you've found that help bridge that gap?Power User Advice: Push the Frontier of ImaginationAkshay Nathan [00:36:30]: I think a couple things that I've seen is like, one, that it really helps to broaden your imagination of what's possible, and this has been a learning even for me. Like, the technology has progressed so fast that, something that, like, even three months ago, like, no way the models can do this. Like, now it's like, wow, it's like it can. Like,Swyx [00:36:52]: Give an exampleAkshay Nathan [00:36:52]: We're going through right now our, like, review cycle internally, and, people always talked about this as, like, a thing that the models are good at and like, there's a cliché of like: Okay, like, no one wants to be writing reviews and, like, we just use AI to do it. But in all seriousnessSwyx [00:37:09]: And it can evaluate it as well.Akshay Nathan [00:37:10]: Yeah, exactly. In all seriousness, before it was, like, just, like, slop and, like, I think it was helpful, but, not super productive. Now I've found that, like, the model can do a much better job than me, especially in this environment of, like, pulling context on, like, what people are up to, how they've like the things that they've done to make a difference, highlighting like, wins that they've had that, like, I might may not even have seen. It has access to, like, everything, right? Like the code, like, things that they've caught, reviews, Slack, everything. And so it's, like, incredibly powerful in that domain and, like, just like six months ago, the last time we did this cycle, like, I didn't even I tried using it, but it was not at all helpful. And this time it's been, like, incredibly helpful and, like, so I think continuing to push the frontier of imagination of what's possible, even if you tried something before, I think is maybe the my biggest piece of advice. The other, thing is, like, the more you put in, especially in this environment where, like, the model has access to everything on your computer or in ChatGPT Work, like you can create, artifacts over time and save them in your library and, like, the model will continue having access to those. Like, the more information you give it about whatever domain you're in, whether it's your life or your work, the more valuable it becomes, and it'll become valuable in, like, ways that might surprise you. Like, it might pull from context in a way that, may be proactive and that you might not even have thought about. But it needs to have access to those, to that those tools or that context first.Reviews, Agentic Search, and Context GatheringSwyx [00:38:27]: One thing I just wanna talk about the review stuff because I'm still that's a very sensitive thing and you're, you're a founder, you've managed people, you've hired people. As manager myself, I'm very reticent to put out any LLM-generated things especially when it comes to people, ‘cause it feels like you don't care.Swyx [00:38:46]: Presumably at OpenAI, people are more open to being eval rated by GPT. But are there any unofficial rules around this? Like, what's the etiquette?Akshay Nathan [00:38:57]: Oh, I think the etiquette is that, like, I would never write something via, like, well, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context. That's the place where it's incredibly helpful.Swyx [00:39:08]: So it's just search.Akshay Nathan [00:39:09]: Yeah, exactly.Swyx [00:39:09]: It's agentic search. Yeah.Akshay Nathan [00:39:10]: It's like agentic search, but, that you can tailor and steer much more capably than you could before, ‘cause, like, the thing is it's all there's a flywheel happening, right? Because of Codex, people are able to do, and because of ChatGPT, people are able to do so much more now than ever before. And if you're able to do so much more, it's easy to miss things as well. And so, like, I think we need to use these same tools to keep up with all the impact that people are having and understand, where we can be helpful.Swyx [00:39:39]: I think the thing, like, I run a small company, so easy to search, but at the scale of OpenAI with the amount of messages that you guys put in Slack, do you think that it misses things?Remembering What Humans MissAkshay Nathan [00:39:50]: Probably, but I think that I also miss things.Swyx [00:39:52]: Like, it doesn't matter, right?Vibhu [00:39:53]: I think sometimes it'sSwyx [00:39:53]: Like it's, as it needs to be human-levelAkshay Nathan [00:39:54]: It's all relative, right? Yeah.Vibhu [00:39:56]: Sometimes it's nice when it finds things you wouldn't, right? Like right now, my Codex system prompts, they're set up in such a way that every project I have has a secret- separate, notes MD, and it just writes learnings to there. And then the global one can pull from all these. So sometimes it'll be like: Oh, there's this project you did like four months ago. Here's a note that we had, and it randomly pulls it back into context that I would never do, I haven't thought about.Vibhu [00:40:20]: And I'm like, okay, this is quite superhuman, right? Like, stuff that would. And, it'll save like hours on chunking of stuff or find something that's already been done. I'm like, as much as it might miss stuff, I would too, but it's very useful when it finds stuff. And I have like a very, non-super engineered solution to this. It's just marked down files that get pulled whenever they want.Akshay Nathan [00:40:41]: Yeah. I have a funny anecdote about this. Like, recently gearing up to this launch, the team has been, really cooking on it for a couple months, and over that time, like there's so much conversation and chatter going on in Slack and Docs and elsewhere. And, one of the members of the team set up this, scheduled tasks, like automation to like look at everything that's going on and, like, come up with the best memes and then post it in one of our shared channels. And like, there are two cool things about this. Like, the first is, like, I think the models are, over time, like starting to become like funny.Swyx [00:41:13]: Funny. Nice.Akshay Nathan [00:41:13]: Whereas like, a year ago, like that was not at all the case. The second is, it was what you were saying, like they find things that in surprising ways that you may not have thought of and like create connections that you may not have thought of. And that really helps with like the meme generation because then you can see something that, genuinely surprises you and, is funny in that way. So yeah, that's like not like the most productive, use of this the technology, but it does it does uncover this, like this capability that's emerging, which is just like to find information that you otherwise would not know of.Launch Momentum and the 10 Million User MilestoneSwyx [00:41:43]: Talking about the launch, I think, I have pretty much said this is the most successful launch in a long time. I think even more successful personally than 5.0, and they're announcing ten million users. Does it feel different? You've been through a lot of launches.Akshay Nathan [00:41:58]: I think it feels like a culmination. Well, I think two things. One, it feels like a culmination, like I was mentioning earlier, like this like vision mission that we've been on for a long time. Like I said, we saw the magic of Codex internally, and then we're like extremely excited to bring this to many more people and to see it working, to like see us reach, the distribution goal, numbers that you mentioned, like I think that's like huge and super exciting. The flip side of that is like, there's so much more to do too. Like, that's also really exciting. Like, ChatGPT as a whole, like the this product that, everyone almost equates to AI and like loves, has hundreds of millions of users. And so like ten million is really cool, but like we need to get this to everyone. Like, we need everyone to feel this magic. And so that's the next step from here. But yeah, I think extremely pumped about how it's going so far and the opportunities.Swyx [00:42:46]: Awesome. I did want to also Because I've, I've, I've been tracking the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT Work, because they're same harness. The whole point is that you don't, you can't, count them separately. Do you have roughly a billion, ChatGPT users? Why did it just jump to one billion right away? Like, isn't that the default on ChatGPT or no?Codex, ChatGPT Work, and the Developer BrandAkshay Nathan [00:43:11]: We don't default you into ChatGPT Work if you're on ChatGPTSwyx [00:43:14]: If you're free. YeahAkshay Nathan [00:43:15]: It's also only available to paid users right now. And I think there's like a process of, educating users of what is the value of this product, having them try it, learning from their feedback, and making it better over time. But the goal is to, get as many of the people who love ChatGPT today to like feel the power of ChatGPT Work. But I think it'll be a journey.Swyx [00:43:36]: Yeah. And Codex will still be alive as a brand for the foreseeable future. And we'll just toggle between them as needed for UI stuff.Akshay Nathan [00:43:44]: Yeah, I think it's even stronger point than that. Like, I think we fully intend to like, treat developer. Like, developers have been, a core market for us for so long, and like there's, there's so much more that we can do to make Codex great specifically for, software development, and we'll continue to do that. This doesn't take away from that at all. If anything, it should increase the utility of something like Codex, because now you can move seamlessly between writing a diff to creating an artifact or, doing a search over your factor.Swyx [00:44:11]: I do wonder how much this terminology leaks to the non-technical user. Like, do they have to learn to say artifact if I want artifact? Or.Akshay Nathan [00:44:20]: It's funny, like we call it artifacts internally ‘cause that's what the teams call it.Swyx [00:44:23]: It's nice. Yeah.Akshay Nathan [00:44:23]: But like externally, like no one says that, no one calls it an artifact. But I think that people like often, like describe things, whatever they're used to, right? So if, ChatGPT Work is good at creating slides, they'll say ChatGPT Work is good at creating slides, and that's what we want.OpenClaw, Personal OS, and Persistent ComputersSwyx [00:44:38]: One big Another, it's July of twenty-six. One big thing that also happens in, for OpenAI was OpenClaw, and that's I think a lot of people's first time really maxing a agent for personal stuff, but also crossing over to work in essence same way. As far as I understand, OpenClaw is still independent, but did you go through your own OpenClaw moments? Were there any lessons you took from OpenClaw to Codex or back? Whatever.Akshay Nathan [00:45:06]: I think there's a lot of inspiration. I did go through my own OpenClaw moment. I,Swyx [00:45:10]: Yeah, tell the storyAkshay Nathan [00:45:10]: Me and my wife like set up an OpenClaw to like try to manage everything in our house. Not that there's like a ton, but it was like quite useful. We gave it a calendar. It started, creating events for us and stuff. At some point, the laptop that we were running on, it died and never got a chance to pick it back up. But there was a lot of inspiration there, like, in ChatGPT Work, in web and mobile, like you get access to this like persistent computer environment where, you can store files, and those files stay around between sessions. And the idea is to be able to enable use cases like this. one of the members of our team uses ChatGPT Work for what they used OpenClaw from before, and then feel like it has like completely transitioned, which is like, workout planning and like meal tracking. which again, it's like a work-related thing, right? It's like not work necessarily, but it's like in personal productivity space. But it has all the same primitives. So it has scheduled tasks. It has the ability to store files on a file system. It has the ability to like reference those things over time. And so you start to see the same types of use cases emerge, which has been really cool.Swyx [00:46:14]: Is there a point that ChatGPT Work completely replaces OpenClaw? they're independent, so.Akshay Nathan [00:46:20]: Yeah, I'm, I'm not close to it, so I can't speak to the OpenClaw roadmap, but I don't think so. I think that there's gonna be, there's always a need for like this like incredible, like open source technology that team has built. And I think that we can draw inspiration, in the product and, ChatGPT, I think many more people have like heard about and used ChatGPT than have used OpenClaw. And if we can take the magic from OpenClaw and bring it to them, I think that'll be a success. I think that like one thing on the ChatGPT Work side that we feel strongly about is that like the core experience is that you come to this product and you have a conversation, start a session, whatever you wanna call it, with this agent. And the magic of the product is that you can do anything in that moment. And we would like to create a product where you don't have to click a button or to go to a different place, whatever, and you can get whatever functionality exists in, your finances app or where or any other product like in this one place. And so that's the goal. It's like it we want an extensible system with plugins where you can connect to the tools that you need in order to be able to accomplish like a financial task, where you can, if you're doing like science work, like we have an ability to like extend the system in such that you can like write the tech and it performs well. There'll always be like products that we support that are best in class at those things, but we want as much of the magic as possible in that core experience.Swyx [00:47:45]: Yeah. Do you think that you can do everything you used to do with Wealthfront in ChatGPT Finance?Finance, Data Access, and Centralized ContextAkshay Nathan [00:47:50]: I tried it. like ChatGPT doesn't yet custody, cash and assets for me. So that part, no, not yet. But I, there was like a whole component of like retirement planning and, like financial planning and budgeting and stuff that, we were looking into when I was there. And like with the finances plugin, like that's all possible with ChatGPT today. So, I feel

En este programa hacemos un repaso a algunas noticias de la actualidad commodoriana y a los lanzamientos de las últimas semanas, y vemos la revista Commodore Computing International Vol.6 N.12 de 1988. Todo esto lo veremos con el equipo habitual formado por David Asenjo (https://twitter.com/darro99), Toni Bianchetti (https://twitter.com/seuck), Narciso Quintana "Narcisound" (https://twitter.com/narcisound), Jonatan Jiménez (https://twitter.com/jsabreman) y Paco Herrera (https://twitter.com/pacoblog64). Las noticias comentadas son: - Noticias del Callback de Commodore: https://commodore.net/why-a-flip-phone/; https://www.generationamiga.com/2026/07/04/after-the-laughter-callback-8020-nears-10000-units-and-proves-critics-wrong/ - Primer vistazo al TheA1200 y nuevos datos de Retro Games Limited: https://www.youtube.com/watch?v=yNTpvojtI0g ; https://www.youtube.com/watch?v=EfYy-Mg6QFU&t=38s ; https://amigatronics.com/2026/07/11/the-a1200-retro-games-despeja-dudas-frecuentes/ - Actualización de la disputa entre Hyperion y Amiga Corporation: https://www.amiga-news.de/en/news/AN-2026-07-00060-EN.html - Preorder del Apidya Special disponible.: https://iningames.com/products/apidya-special-special-edition-playstation-5-limited - Amigame Jam 9: https://itch.io/jam/amigamejam - Core de Amiga 500 para MEGA65: https://github.com/sy2002/AExp - Conmutador de columnas 40/80 para PET/CBM 8296: http://cbmsteve.ca/8296-4080/index.html - Cartucho IDUN para C64/128: https://github.com/idun-project/idun-cartridge - Disponible la planimetría de la fuente de alimentación del Amiga 2000: https://github.com/andreamazzai/A2000_Rev4_PSU - Nueva política de envíos a la UE de la Royal Mail (RU), las aduanas se pagan por adelantado. - Banda sonora de Return to Blacktooth a la venta: https://thalamusdigital.itch.io/return-to-blacktooth-album Actualizaciones: - Commodore PET D64 Image Maker v1.2: https://milasoft64.itch.io/commodore-pet-d64-image-maker - Sevgi Engine v0.194: https://github.com/alpyre/Sevgi_Engine - AmigaGPT v3: https://github.com/sacredbanana/AmigaGPT - Amiberry v8.2.2: https://amiberry.com - RedPill v.0.9.71: https://aminet.net/package/dev/misc/REDPILLGameCreator - Cartridge programming tool V3.2: https://martin-piper.itch.io/c64-cartridge-programming-tool-v32 Los juegos y programas nuevos comentados son: - Mort & Phil (Amiga Factory, Amiga): https://amiga-factory.itch.io/mortandphil - Infec2tation (Monte Boyd, C64): https://monteboyd.itch.io/infe2tation - Raiden (Imagitec Design, Amiga): https://www.gamesthatwerent.com/2026/06/raiden/ - Commando (jotd666, Amiga): https://jotd666.itch.io/commando - Galamiga (Mainake Project, Amiga): https://aminet.net/package/game/shoot/galamiga - Jet Set Willy (Kweepa, VIC20): https://sleepingelephant.com/ipw-web/bulletin/bb/viewtopic.php?t=11574 - Ouroboros (Aardvark Soup, C64): https://aardvark-soup.itch.io/ouroboros64 - Rock-Ballons (orac81, C64/C16/VIC-20): https://orac81.itch.io/rock-balloons - Penultimate Fantasy (Endurion, C64): https://endurion.itch.io/penultimate-fantasy-c64-cartridge - Sabre Wulf (gekka, VIC20): https://www.sleepingelephant.com/ipw-web/bulletin/bb/viewtopic.php?t=11578 - Ninjanimal (Titus, Amiga, C64): https://www.gamesthatwerent.com/2026/07/ninjanimal/ - Daimyo (Windigo Productions, C64): https://windigoproductions.itch.io/daimyo - Comchinko (dmortalwombat, C64): https://drmortalwombat.itch.io/comchinko - Cromo Shock (Christian Cubillos, C64): https://cristiancubillos.itch.io/cromo-shock - Space Station Elysium (descarga en cuarentena) (EmperoR Studios, C64): https://emperorstudios.itch.io/elysium - Princess Amelia (BARKAMI, C64): https://barkami.itch.io/princess-amelia - Disco Volante (Megastyle, C64 (Windows)): https://megastyle.itch.io/disco-volante - Atic Atac (gekka, VIC20): https://sleepingelephant.com/ipw-web/bulletin/bb/viewtopic.php?t=11547 ; https://sleepingelephant.com/ipw-web/bulletin/bb/viewtopic.php?p=126461#p126461 - Rust'n'Steel (natthrafn, C64): https://natthrafn.itch.io/rustnsteel-reboot - Ramizes (tukinem, Amiga): https://tukinem.itch.io/ramizes-amiga - Castle Smash (Milasoft, C64/PET): https://milasoft64.itch.io/castle-smash - SERK (Emmonks, C64): https://emmonks.itch.io/serk - Owarix (orac81, PET, VIC-20, plus/4): https://www.lemon64.com/forum/viewtopic.php?t=89674 - Graphic Designer (lifeschool@lemonamiga, Amiga): https://lifeschool22.itch.io/graphic-designer-amiga - Rally X reloaded (beamrider, VIC20): https://sleepingelephant.com/ipw-web/bulletin/bb/viewtopic.php?t=11573 - Runaway (cronosoft, VIC20): https://cronosoft.fwscart.com/product/vic-3kram-runaway - Gravity Snake (Naufr4g0, C64): https://naufr4g0.itch.io/gravity-snake-c64 - Hang the DJ (Moonknight313, C64): https://moonknight313.itch.io/hang-the-dj - LightTreeFM (dsavioni, Amiga): https://dsavioni.itch.io/lighttreefm - The Pawn Guild of Thieves Myth EasyFlash (EmperoR Studios, C64): https://emperorstudios.itch.io/the-pawn-guild-of-thieves-myth-easyflash - CoverMaker: Easy Cassette J-Card Creator (funkyretro, Güindous): https://flunky-retro.itch.io/covermaker - Cyber-Run: Project Black Ice (Christian Cubillos, C64): https://cristiancubillos.itch.io/cyber-run - AmiWeatherForecasts16 (emarti, Murat Ozdemir, Amiga): https://aminet.net/package/comm/misc/AmiWeatherForeCasts16 - Busted Boulders (Richard Goedeken, C128): https://demozoo.org/productions/390765/ - Teletext (fputmango, C64U/C64): https://github.com/fputmango/Teletext64U/tree/main - Holiday (Dan Waddington, Amiga): https://aminet.net/package/game/role/Holiday

Astronomy Daily S05E139 — Monday, 13 July 2026   Starship could fly again as soon as Wednesday — carrying its first-ever real payload. Japan quietly joins the reusable rocket club just a day after China. SpaceX asks regulators for a jaw-dropping 100,000 satellites. Physicists may have heard the accumulated whispers of every star that ever exploded. Isar Aerospace signs a $150 million deal to launch from Canada. And a ravenous black hole just 1.8 billion light-years away is giving astronomers — including teams from CSIRO and the University of Sydney — a window into the dawn of time.   In this episode •         Starship Flight 13: Booster 20's 33-engine static fire complete; launch NET Wednesday (AEST); first deployment of 20 Starlink V3 satellites; in-space Raptor relight and Indian Ocean splashdown planned. •         JAXA's RV-X reusable rocket completes its first hop at Noshiro — about 40 seconds, 10–11 metres up, landing upright — one day after China's Long March 10B sea recovery. •         SpaceX files with the FCC for a 100,000-satellite Gen3 constellation in very low Earth orbit, pitched at multi-gigabit AI-era connectivity — and entirely dependent on Starship. •         Super-Kamiokande reports the first indication of the Diffuse Supernova Neutrino Background from nearly 5,000 days of data — the accumulated neutrinos of every core-collapse supernova in cosmic history. •         Isar Aerospace signs a 10-year deal with Maritime Launch Services for a dedicated complex at Spaceport Nova Scotia — first orbital launches targeted for 2028, up to 40 per year by 2029. •         Galaxy SDSS J110546.07+145202.4: a lightweight, ferociously fast-growing black hole behaving like the early universe's titans, shining 20-fold brighter in radio for eight-plus years — with CSIRO's ATCA among the follow-up telescopes. •         Skywatching: New Moon Tuesday evening (7:44pm AEST / 9:44pm NZST); prime Milky Way core viewing; Venus brilliant in the west; Mars near Aldebaran pre-dawn; Comet 10P/Tempel 2 favours southern observers.   Sources & further reading •         Space.com — Starship Flight 13 static fire & launch outlook; Starlink Gen3 filing; Isar/MLS deal; ravenous black hole; supernova neutrino whispers •         AP / Japan Times / RTÉ — JAXA RV-X first test flight •         Max Planck Institute for Radio Astronomy press release; Komossa et al., The Astrophysical Journal (2026) •         Tohoku University / phys.org — Super-Kamiokande DSNB indication (Neutrino 2026 conference) •         CBC / The Globe and Mail / SpaceQ — Isar Aerospace & Maritime Launch Services agreement details •         NASA JPL What's Up July 2026; EarthSky; Space.com night sky guide — skywatchingBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-the-latest-space-news--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Are you looking for a reliable trail shoe that can handle technical terrain without feeling like a sponge? In today's video, we dive deep into the Dynafit Ultra 100 V3 to see how this German-engineered shoe performs after 50 miles on the trail.

In this episode, Ray Cochrane unpacks how two colliding black holes revealed a whirlpool in spacetime, a direct detection of frame dragging hidden in the cleanest gravitational-wave signal ever recorded. Additional stories cover the James Webb Space Telescope, counting 16.5 million stars in the Cigar Galaxy, SpaceX rolling out Starship V3, deadly back-to-back earthquakes in Venezuela, GitHub fighting a California law that could break open source, and Meta engineering a battery narrow enough to live in a pair of glasses. – 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 before the night’s lead story. He recently graduated with a Bachelor of Science in Computer Science from Portland State University, celebrated with family in town, and launched a new site at rayc.world. That site links to a final-project study he built on collaborative filtering using podcasting data, hosted at cohort.rayc.world and drawn from OP3 analytics. He also plans to return to the show’s classic twice-weekly cadence on Mondays and Thursdays. From there, he goes deep on a new black hole discovery, then pivots through space, earth science, climate, biotech, open source, cloud infrastructure, and consumer hardware. Colliding Black Holes Reveal a Whirlpool in Spacetime Two black holes spiraled together, merged, and sent a gravitational wave rippling across the universe. Researcher Neil Lu and colleagues at the Australian National University found the fingerprint of frame dragging buried in GW250114, the cleanest signal LIGO has ever recorded. Frame dragging means a spinning black hole drags spacetime around with it, like a spoon turning in honey, except the honey is reality itself. Remarkably, the wave changed the distance between your nose and your ear as it passed, by far less than the width of a single atom. Sponsor: GoDaddy Economy hosting is $6.99/month, WordPress hosting is $12.99/month, and domains are $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Webb Counts the Stars in the Cigar Galaxy NASA released a striking new James Webb Space Telescope view of Messier 82, the edge-on galaxy nicknamed the Cigar Galaxy. Because Webb sees in infrared, it peers straight through the dust that normally hides the galaxy’s interior. Combined with archival Hubble data, the image resolves roughly 16.5 million individual stars. M82 is a starburst galaxy, meaning it forms stars at a furious rate, a frenzy likely triggered when it merged with a neighbor. SpaceX Rolls Out Starship V3 SpaceX officially introduced Starship V3, the third generation of the largest rocket ever built. The vehicle now flies on the Raptor 3 engine, pushing liftoff thrust to around 20 million pounds and making it the most powerful rocket ever flown. More importantly, V3 is designed to carry over 100 metric tons to low Earth orbit while staying fully reusable, roughly triple the previous version. SpaceX also added in-orbit refueling hardware, the capability that finally makes operational Moon and Mars missions realistic. The Asteroid Barrage That Kept Earth From Forming Continents A team led by Curtin University and the Queensland University of Technology argues that relentless asteroid impacts shaped the very young Earth. During the Hadean, more than four billion years ago, the planet was struck far more often than it is today. Each impact dumped heat deep into the interior, repeatedly melting and reworking the crust. Consequently, stable continents formed much later than calmer models assumed, painting a picture of a hotter, weaker, more chaotic early Earth. Back-to-Back Earthquakes Devastate Northern Venezuela Northern Venezuela was struck by two major earthquakes on June 24, a magnitude 7.2 foreshock followed by a magnitude 7.5 mainshock. Both hit only about six miles underground, so the shallow shaking delivered its full force at the surface. Tragically, at least 164 people died, and the region sits along the tangled boundary where the Caribbean and South American plates grind past each other. These were the largest quakes to hit the area since a magnitude 7.7 event near Caracas in 1900. The ‘Guerrilla Solar’ Era Has Arrived A quiet energy shift, nicknamed “guerrilla solar,” is spreading across Europe. These small plug-in panels deliver power to a home’s wiring via a standard wall outlet, with no electrician or permit required. Germany now counts roughly a million of these systems. However, the U.S. payoff remains modest, with savings estimates of around $15 per month against a $500 to $1,500 setup cost. Why a Broken-Up Forest Stores Less Carbon Researchers quantified what foresters long suspected: an intact forest stores far more carbon than the same acreage split into fragments. A hectare inside a large, continuous forest proved about 38 percent more productive than an isolated one. The culprit is edge effects, the extra wind, heat, and direct sun that stress trees at a forest’s boundary. Because a large forest maintains a large protected core while fragments are nearly all edge, planting trees together matters for carbon storage. Edited Human Embryos Reveal a Surprise Researchers used base editing, a precise cousin of CRISPR that rewrites a single DNA letter without cutting the strand, in human embryos. They discovered that a protein called NANOG plays a role in early human development that it does not play in mice. In humans, switching it off still let cells form that seed the placenta and yolk sac. The finding argues that understanding human development requires studying human embryos directly, which reignites a thorny ethical debate. GitHub Fights a California Law That Could Break Open Source GitHub joined Black Forest Labs, Hugging Face, and Mozilla to push for fixes to California’s AI Transparency Act. As written, the bill could force revocation of an open-source license when a downstream user fails to meet certain obligations, which clashes with the permanent, irrevocable promise of open source. Cochrane pointed to curl and its longtime maintainer, Daniel Stenberg, warning that the rule could destabilize the supply chain on which the whole tech world runs. Instead, the coalition points to the EU’s AI Act transparency code as a saner model. Rust Opens Its Maintainers Fund The Rust Foundation launched a Maintainers Fund to pay the people who keep the language’s ecosystem healthy. Backed by RFC 3931, it establishes a funding team and a new Maintainer-in-Residence program for the often thankless work on the compiler, standard library, Cargo, and Clippy. Individuals can donate through GitHub Sponsors, while companies can sponsor there or contact the foundation directly. Cochrane urged any business that depends on open source to invest in the projects it actually uses. AWS Gives Lambda Its Own Isolated Sandboxes AWS introduced MicroVMs inside Lambda, its serverless platform. Each session runs in a dedicated micro virtual machine with no shared kernel and up to eight hours of total runtime. The feature exists for the AI era, in which applications increasingly run code written by an AI agent rather than by the developer. Use cases include AI coding assistants, data analytics platforms, vulnerability scanners, and game servers running user-supplied scripts. Meta Engineers a Battery Narrow Enough for Glasses Meta built custom steel-can battery cells as narrow as seven millimeters to fit the temple arms of smart glasses like the Ray-Ban Meta and Oakley Meta Vanguards. These cells power cameras, speakers, and AI features in a space most engineers would call impossible. To prevent brownouts, Meta swapped wound electrodes for precisely die-cut stacked layers that lower electrical resistance. Now the company is spreading the technology across multiple vendors and eyeing other wearables. Polestar Gets Locked Out of the US Market Starting in 2027, Polestar will not be able to sell its new models in the United States. A federal Connected Vehicle Rule bars cars containing certain Chinese or Russian software or hardware on national security grounds. The painful irony is that Polestar moved production of the Polestar 3 to South Carolina specifically to dodge tariffs on Chinese-built EVs. Because the rule targets the technology’s origin rather than its assembly location, the company is shut out anyway. Retroid’s Pocket Nova Packs Serious Power for $229 Retroid returned with a new retro handheld, the Pocket Nova, starting at $229 with a step-up model around $269. It features a 4.5-inch AMOLED screen in a 4:3 aspect ratio, a shape well suited to classic games. On paper, it should handle GameCube- and PlayStation 2-era titles, though that remains an early expectation rather than a benchmarked promise. Retroid has earned a strong reputation for high-quality, genuinely portable consoles. Cochrane signs off with the usual ecosystem mentions: GNC Insider at geeknewscentral.com/insider, the show newsletter, email at geeknews@gmail.com, and modern podcast app recommendations at podcastapps.com. The post Colliding Black Holes Reveal a Whirlpool in Spacetime #1866 appeared first on Geek News Central.

Jonny and Phil unpack Warlord's new Armies of the Commonwealth book, a standalone V3 supplement covering Australia, Canada, East Africa Command, India, New Zealand and South Africa. They explain how each nation's special rules and unique units work, and how the generic Commonwealth roster ties it all together. Highlights include Australian infiltrators and fanatical defenders, Canadian stubbornness and vehicle upgrades, East Africa's local-area tactics and camel riders, India's Gurkha and mountain options, New Zealand's steadfast infantry and Maoris, plus South Africa's vehicle bonuses. The hosts discuss playstyles, modeling tips and tournament implications in a breezy, tactical overview. Want to support the channel? Why not use one of our affiliate links: Warlord Games: https://r.warlordgames.com/aff/?TABLETOPTOMMIES Firestorm Games: https://www.firestormgames.co.uk/wargames-miniatures/bolt-action?aff=64a025ee621f1 Wayland Games: https://affiliates.waylandgames.co.uk/1240.html Warlord Games: https://r.warlordgames.com/aff/?TABLETOPTOMMIES   You can also support our endeavour to produce Bolt Action content on Patreon: https://www.patreon.com/TabletopTommies Or you can support these two mugs by buying a fancy mug: https://tabletoptommies.co.uk/collection/new/

IPO price. $135Retail. Process. Allocation. ConfirmationGavin Baker on 4th largest cloud ahead of Oracle. Jensen likes to give GPu's to people that can use themBrad Gerstner on how “smart” people lose money. Price target lower by $20.

In this episode of LAB the Podcast, Zach sits down with V3's LAB Initiative Director, Christina Kruse, to discuss the ongoing fight against human trafficking and how the LAB Initiative is helping bring hope, awareness, and tangible support to survivors. Together, they reflect on the unveiling of the first Freedom Is Beautiful commissioned artwork, the growing partnership with the SAFE Alliance Tampa Bay, and the impact of Freedom Roast Coffee in funding anti-trafficking efforts throughout Tampa Bay.  Christina shares stories from survivors who encountered the artwork, explains how beauty can help restore the human spirit, and highlights the practical ways individuals, churches, and businesses can join the movement. From murals and merchandise to coffee subscriptions and community partnerships, this conversation explores how ordinary choices can create extraordinary impact.If you've ever wondered how art, faith, and justice intersect, this episode offers a compelling vision of what it means to lead with beauty in a broken world.Thank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast. Learn more about the LAB Initiative: https://vuvivo.com/lab-initiativeOrder Freedom Roast: https://www.buddybrew.com/products/life-beauty-blend-lab-podcast-x-bbc-collaborationSupport / Sponsor: https://vuvivo.com/supportFor More Videos, Subscribe: @VUVIVOV3 | https://www.youtube.com/@VUVIVOV3Follow: @labthepodcast | @vuvivo_v3 | @zachjelliott | @buddybrewcoffee Like:  https://www.facebook.com/vuvivo.v3#LABPodcast #FreedomIsBeautiful #HumanTraffickingAwareness #LeadWithBeauty #VUVIVO #BuddyBrew #FreedomRoast #SAFEAlliance #FaithAndCulture #HumanDignity #ChristianPodcast #TampaBay #ArtForGood #EndHumanTrafficking #CommonGoodSupport the show

On the KMOJ Morning Show, Malik Rucker, founding Executive Director of V3 Sports, joined Freddie Bell for the "Community Builders Series" to discuss his North Minneapolis roots and the experiences that inspired his mission to invest in the community through health, wellness, and opportunity. A fifth-generation Northsider, Rucker reflected on the vision behind V3 Sports and how the organization has grown from a one-person operation into a major nonprofit serving families through fitness, aquatics, youth programming, and education. He explained that V3's mission extends far beyond athletics, focusing on building healthier communities, creating access, and strengthening economic empowerment through intentional partnerships with Northside businesses. Rucker also shared the pride he feels seeing the completed first phase of the V3 Center in action and looked ahead to Phase II, which will bring an Olympic-sized pool and expanded programming to further serve the community. 

SpaceTime Series 29 Episode 66 *Starship undertakes its 12th test flight The world's largest and most powerful rocket, the SpaceX super heavy Starship has undertaken its 12th test flight with mixed results. *Massive rocket explosion at Cape Canaveral Blue Origin's latest New Glenn rocket has exploded in a spectacular ball of flame and fire during a static hot fire test at the Cape Canaveral Space Force base in Florida. *How Earth recycles the continents A new study claims Earth's crust and mantle have been mixing together for billions of years continuously reworking the planet's continents deep beneath the surface. *The Science Report A new study shows that dentists have been drilling teeth to treat cavities for almost 60,000 years. Warnings that even moderate increases in temperatures heightens the likelihood of koala deaths. One in six kids now experiencing some form of online sexual exploitation and abuse. Alex on Tech: Rokid's new smart glasses.Become a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-with-stuart-gary--2458531/support.

The Space Show Presents Open Lines Discussion Today, Sunday, 5-3-26Quick Summary:This meeting focused on open discussion topics in space exploration and national security. Bob shared speculation about a potential SpaceX acquisition of 200+ square miles of land in Louisiana for data centers and manufacturing facilities, though this remained unconfirmed. The group extensively discussed the Artemis 3 mission delay, with participants debating the challenges of SLS rocket assembly versus SpaceX's Starship development approach. Ajay raised significant concerns about Russia's nuclear-powered missile program, specifically the Burevestnik missile tested in October 2025, which he described as difficult to detect and potentially dangerous. The conversation also touched on nuclear power applications for data centers and military bases, with Dr. Ajay mentioning new small modular reactor companies emerging in the market. The discussion concluded with debate about defense strategies against such nuclear capabilities and the current state of hypersonic weapons development.Detailed Summary:Bob discussed a speculative story about SpaceX potentially acquiring a 200-square-mile piece of land in Louisiana, which could be used for data centers, satellite manufacturing, and Starship production. He noted that this would allow SpaceX to shift operations away from California. The conversation concluded with a mention of Artemis 3's delay and a brief reference to Robert's recent article about the potential Louisiana land acquisition.David announced that Robert would be scheduled for a show on May 26th at 6 PM, and discussed upcoming shows including Dr. Eligar Sadeh returning on Tuesday to discuss Astropolitics journal reviewing opportunities. The group briefly discussed unconfirmed news about Elon Musk's salary and potential Mars colonization plans, though Bob repeated that much of this information was speculative. David also mentioned upcoming shows including an ISDC episode with Rod Pyle and Aggi Kobrin on May 12th.Bob shared unconfirmed rumors that SpaceX may be acquiring approximately 136,000 acres of coastal Louisiana marshland near Pecan Island for potential data centers and manufacturing facilities. The discussion explored the strategic benefits of this location, including proximity to intercoastal waterways, power infrastructure, and natural gas facilities, though participants noted concerns about launch debris dispersion and local community impact. The group acknowledged this was speculative information pending official confirmation from SpaceX.The group discussed the delay of the Artemis III mission, with Bob explaining that both Blue Origin and SpaceX requested additional time to prepare their landers for an Earth-orbiting test mission. Robert noted that this delay would impact the scheduling of subsequent Artemis missions in 2028, as SLS rockets can only be assembled one at a time using a single mobile launcher. The discussion compared SLS and Starship assembly processes, with Joe highlighting how SLS involves numerous complex steps due to its design requirements, while Starship's assembly is more streamlined. Bob concluded that Jared Isaacman's goal is to demonstrate SLS's limitations over the next two years, potentially paving the way for Starship and New Glenn rockets to replace SLS in the future.The group discussed the competitive dynamics between SLS and Starship programs, with different perspectives on NASA's intentions. Phil and Joe had a different view, suggesting NASA believed SLS could beat Starship if it increased production rates faster. The discussion also covered technical aspects of Starship's design, with Ajay raising concerns about the high dry weight requiring multiple refueling trips to the moon, while Marshall and others highlighted the importance of SpaceX's new launch facilities in enabling frequent launches.The group discussed different approaches to refueling a lunar mission depot, with Ajay presenting a plan involving expendable tankers while Phil and Bob described a reusable tanker concept aligned with SpaceX's philosophy. Ajay cited NASA and Aerospace Corporation analyses suggesting 10-16 refueling launches would be needed with expendable tankers, though the group noted these estimates were based on V2 configurations rather than the more efficient V3. Bob defended SpaceX's approach, emphasizing the company's focus on reusability and rapid launch capabilities, while acknowledging that current payload limitations might require temporary use of expendable vehicles if development timelines don't meet requirements by mid-2027.The group discussed SpaceX's Starship program and its potential, with Ajay cautioning against extrapolating success from Falcon 9 to other projects. David interrupted the Starship-focused discussion to broaden the conversation, particularly wanting Ajay to share insights about a new Russian nuclear-powered missile system that can fly at low altitudes and evade detection. Ajay explained that this missile system, demonstrated on October 21, poses a significant threat as it cannot be detected by current defense systems and could potentially remain airborne for extended periods. When asked about countermeasures, Ajay indicated he had provided suggestions to defense departments but could not share details in the open forum.Ajay discussed his work on hypersonic and nuclear power applications, highlighting his experience since 1990 and recent developments in nuclear power plants. He mentioned new companies like ILO Atomics and Astra working on 10-megawatt power plants for data centers, which could be factory-built within a year. Ajay also shared his conversations with senators about the Burevestnik missile and his meeting with Jared at Mar-a-Lago, where he inquired about the Falcon Heavy idea. Marshall raised concerns about the time required for permits for nuclear power plants, to which Ajay responded that recent executive orders have reduced the timeline to 3-6 months.The discussion focused on nuclear power applications, particularly small modular reactors and micro-reactors. Ajay explained his work on a 25-megawatt thermal power plant design and discussed the military's micro-reactor program, noting that molten salt reactors would be more suitable than pressurized water reactors for energy applications. The conversation also addressed hypersonic missile technology, with Ajay clarifying that current U.S. hypersonic programs use rocket-boosted systems with limited range, distinguishable from the nuclear-powered hypersonic missiles discussed in the context of Russian weapons. John Hunt suggested that developing such nuclear-powered systems might not be a priority for the U.S. given existing deterrent capabilities and potential public opposition.The group discussed Russia's nuclear-powered missile development, specifically the Burevestnik missile tested on October 21, 2025, which flew for 15 hours at subsonic speeds and demonstrated capabilities to evade missile defenses. Ajay emphasized the danger of these nuclear-capable missiles, noting their ability to approach from any direction and their challenging detection due to flying at low altitudes. cautioned that Russia's technical competence with high-tech projects should be viewed with skepticism, though acknowledged the need to address these developments. The discussion concluded with Dr. Ajay expressing skepticism about fusion energy timelines and advocating for Generation 4 nuclear reactors, particularly molten salt reactors using thorium or uranium-233.The group discussed thorium reactors and fusion technology. Ajay explained that China copied thorium reactor technology from Oak Ridge National Lab in the 1960s, but development was halted due to lack of plutonium production, despite its potential for clean energy. The discussion covered fusion for space applications, with Ajay expressing skepticism about the feasibility of Pulsar Fusion's proposed system due to the high energy requirements and weight constraints for space travel. The conversation also touched on the challenges of space-based data centers, with participants questioning the practicality of using space for cooling purposes given existing technical limitations.The group discussed space-based data centers and energy transmission methods. Joe explained that Overview Energy, backed by Meta, is exploring using infrared lasers to transmit energy from space to ground-based solar farms. Bob highlighted that while space data centers may not be economically viable, they could drive significant launch demand and benefit the aerospace industry. The discussion also touched on the massive capital expenditure plans of major tech companies, with Joe noting that approximately $750 billion in capital expenses could potentially include space-based data center projects, creating new opportunities for rocket companies.The group discussed the challenges of cooling data centers in space, with Ajay explaining that radiating heat into space requires large radiators due to the lack of convection and conduction in vacuum. Joe noted that operating chips at higher temperatures could reduce the size of radiators, but this would negatively impact performance. The discussion also covered nuclear propulsion options for space travel, with Ajay expressing skepticism about the feasibility of implementing nuclear electric propulsion for the planned Mars mission within the proposed timeline. The group agreed that nuclear thermal propulsion, while more efficient, would require significant development time and testing. (Summary provided by Zoom AI).Special thanks to our sponsors:American Institute of Aeronautics and Astronautics, Helix Space in Luxembourg, Celestis Memorial Spaceflights, Astrox Corporation, Dr. Haym Benaroya of Rutgers University, The Space Settlement Progress Blog by John Jossy, The Atlantis Project, and Artless EntertainmentWe use Zoom phone numbers for program participation.For real time program participation, email Dr. Space at: drspace@thespaceshow.com for instructions and access.The Space Show is a non-profit 501C3 through its parent, One Giant Leap Foundation, Inc. To donate via Pay Pal, use:To donate with Zelle, use the email address: david@onegiantleapfoundation.org.If you prefer donating with a check, please make the check payable to One Giant Leap Foundation and mail to:One Giant Leap Foundation, 11035 Lavender Hill Drive Ste. 160-306 Las Vegas, NV 89135Upcoming Programs:No Program for Friday, May 29, 2026 | Friday 29 May 2026 930AM PTGuests: Dr. David LivingstonNo program today, Friday, May 26, 2026Broadcast 4596: Zoom: Open Lines Discussion | Sunday 31 May 2026 1200PM PTGuests: Dr. David LivingstonZoom: Open Lines Discussion. Email DrSpace prior to air time for Zoom phone number access. Get full access to The Space Show-One Giant Leap Foundation at doctorspace.substack.com/subscribe

Episode: S05E112 — Tuesday, 26 May 2026 Hosts: Anna & Avery Network: Bitesz.com Podcast Network Website: astronomydaily.io  |  Social: @AstroDailyPod   Story Summaries 1. NASA Unveils Ambitious Moon Base Plan As this episode was recorded, NASA Administrator Jared Isaacman was preparing to announce a landmark plan for a permanent human outpost at the lunar south pole by 2036. The programme carries a price tag of approximately $30 billion across a seven-year foundational phase, relies on nuclear power systems, leverages lunar water ice for fuel and life support, and effectively retires the Gateway orbital station concept. Commercial partners will supply rovers and habitat modules. Phase one targets around two dozen lunar launches, including Artemis IV, by 2028. Full details will be covered in tomorrow's episode. 2. Starship V3 Flight 12 — Engine Drama, Historic Debut SpaceX launched the first Starship V3 rocket on Friday, 22 May 2026, from brand-new Pad 2 at Starbase, Texas. Ship 39 reached space and completed a controlled splashdown in the Indian Ocean despite losing one of its six vacuum Raptor engines during ascent. The flight computer compensated by extending burns on the remaining five. The Super Heavy booster was lost in the Gulf of Mexico after a failed boostback burn. The FAA has opened a review. SpaceX declared most pre-planned test objectives met. 3. JWST Maps First Daily Weather Cycle on a Distant World Published in Science on 21 May 2026. Researchers from Johns Hopkins and Arizona State Universities used Webb's NIRISS instrument to observe WASP-94Ab — a hot Jupiter 690 light-years away — and detected the first daily cloud cycle ever recorded on another planet. Thick magnesium silicate clouds form each morning, then completely clear by evening. The finding also corrected a decade of skewed atmospheric composition data. 4. NASA's Fermi Telescope Solves 20-Year Supernova Mystery An international team led by Fabio Acero used NASA's Fermi Gamma-ray Space Telescope to confirm the first definitive gamma-ray detection from a superluminous supernova — SN 2017egm. The data confirms a newly formed magnetar as the power source behind these extraordinarily bright explosions. Published in Astronomy & Astrophysics, 2026. 5. Most Rocky Exoplanets May Lack Earth-Like Metallic Cores A new paper submitted to the Astrophysical Journal challenges the long-held assumption that dense metallic cores are standard features of rocky planets. Researchers argue that most rocky exoplanets may have formed without Earth-style metallic cores — meaning no global magnetic field, with significant implications for atmospheric retention and habitability. 6. The Soviet Rover That Went Silent — and Came Back Lunokhod 1 was the world's first remote-controlled rover on another world (1970). After traversing 10.5 km of Mare Imbrium, contact was lost in 1971. For nearly 40 years its exact position was unknown — until NASA's Lunar Reconnaissance Orbiter identified it in 2010. The APOLLO project then fired laser pulses and received ~2,000 photons back from its French-built retroreflector — four times stronger than expected. It remains an active contributor to lunar science today.   Sources & Further Reading •       NASA Moon Base announcement: nasa.gov/2026-news-releases •       Starship Flight 12 updates: space.com •       WASP-94Ab paper: Science, 21 May 2026 — DOI via Johns Hopkins Hub •       Fermi supernova paper: Astronomy & Astrophysics, 2026 — DOI: 10.1051/0004-6361/202558547 •       Exoplanet cores paper: submitted to Astrophysical Journal, May 2026Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

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Sponsor Link:You've heard us talking about them now it's time to check out the special money saving deal from our sponsor NordVPN. CLICK HEREYour weekly roundup of the biggest stories from across the cosmos — two fresh stories plus the best of the past seven days from Astronomy Daily.   In This Episode •          Starship V3 Flight 12: SpaceX launches its redesigned megarocket for the first time — an historic milestone with some drama along the way •          New Glenn Cleared to Fly: Blue Origin completes its NG-3 failure investigation — the FAA approves the report and the rocket is back in action •          First Direct Image of the Cosmic Web: A 3-million-light-year filament photographed in unprecedented detail by ESO's Very Large Telescope •          Dark Matter Fingerprint? MIT researchers find a gravitational wave signal that may carry the first direct imprint of dark matter •          Roman Space Telescope: NASA's next great observatory is targeting September 2026 launch — eight months ahead of schedule •          AI Space Chip: NASA tests a radiation-hardened chip that could give future spacecraft genuine autonomous decision-making   Story Sources & Further Reading Starship V3 / Flight 12: Space.com, Universe Today, Spaceflight Now, Next Spaceflight New Glenn / Blue Origin: SpaceNews (May 22, 2026), Space.com, TechCrunch Cosmic Web Image: Nature Astronomy — Tornotti et al.; ESO/VLT press release; Mirage News (May 16, 2026) Dark Matter / Gravitational Waves: Physical Review Letters — Aurrekoetxea et al.; ScienceDaily, Universe Today (May 19, 2026) Roman Space Telescope: NASA.gov, Scientific American, ScienceDaily (May 18, 2026) NASA AI Space Chip: ScienceDaily, NASA (May 15, 2026)   About Astronomy Daily Astronomy Daily delivers the latest space and astronomy news every weekday, plus a Weekend Wrap on Saturdays. Hosted by Anna and Avery, and produced by the Bitesz.com Podcast Network. Website: astronomydaily.io  |  Social: @AstroDailyPodBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To check out our special money saving deal and upgrade your online security with NordVPN - Click HereSpaceX came agonisingly close to launching the most powerful rocket ever built in its newest configuration — but a technical halt at T-minus 40 seconds sent Starship V3's debut back to the drawing board, with another attempt window opening this evening (6:30–8:00 p.m. EDT). Anna and Avery dig into what went wrong, what makes V3 different, and the stunning announcement buried in the webcast: a named commander for humanity's first crewed Mars flyby mission. Plus: JWST rewrites exoplanet atmospheric science with unexpected ice clouds on a distant super-Jupiter, researchers map a mysterious magnetic 'flip' inside the Milky Way, and Rocket Lab launches from New Zealand.Links & Further Reading •       Starship Flight 12 live updates: space.com •       SpaceX launch webcast (tonight): spacex.com •       Chun Wang Mars announcement: universetoday.com •       JWST Epsilon Indi Ab paper (ApJL): doi.org/10.3847/2041-8213/ae5823 •       Milky Way magnetic field study (ApJ): doi.org/10.3847/1538-4357/ae28d1 •       Rocket Lab Viva La Strix mission: rocketlabusa.com •       Astronomy Daily website: astronomydaily.ioBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

LIVE: SpaceX Starship Launch & UFO NewsStarship Flight 12 (IFT-12) is the maiden flight of Starship Version 3 (Block 3), using Booster 19 (B19) and Ship 39 (S39). It marks the first launch from Starbase's new Orbital Launch Pad 2 (Pad B) and debuts major redesigns for full rapid reusability.The flight is a suborbital test (transatmospheric trajectory), with the booster splashing down in the Gulf of Mexico and the ship in the Indian Ocean. Launch targeted for May 21, 2026, around 5:30–7:00 PM CDT (window shifted to ~6:00 PM CT).Key Highlights and Special FeaturesFirst V3 Vehicles: Significant upgrades to Starship, Super Heavy, and Raptor 3 engines (clean-sheet propulsion changes, increased tank volume, new startup methods, larger grid fins on booster). These incorporate lessons from prior flights for higher performance, reliability, and eventual 100+ ton payloads to orbit.New Launch Pad (Pad 2): First use of the redesigned pad with upgraded propellant farms (more capacity and faster pumps) and improved tower chopsticks (electromechanical actuators for speed/reliability).Heavy Payload Demo: Deploys 22 Starlink simulators (~44 tonnes total mass, a record for Starship tests). Includes 20 standard simulators + 2 specially modified ones to scan Starship's heat shield during flight and transmit imagery (testing future tile inspection for return-to-launch-site missions). Some tiles were painted white to simulate damage.In-Space and Reentry Tests:Single Raptor engine relight in space.Controlled reentry with banking maneuver (simulating future Starbase return trajectory).Intentional stress test on rear flaps.One heat shield tile was intentionally removed to measure the effects on adjacent tiles.Booster Objectives: Full launch, ascent, hot-staging separation, boostback burn, and landing burn — but no tower catch attempt (conservative water landing as it's the first V3 flight).Raptor 3 Power: 33 engines on the booster delivering massive thrust (over 9,000 metric tons), with improved reliability shown in static fires.This flight focuses on proving the redesigned architecture in real conditions rather than attempting catches or full orbits yet. It's a big iterative step toward operational reusability, orbital refueling, and missions like Artemis or Mars.AttributionSpielberg on The Late Show via UAP James@UAPJames on Xhttps://x.com/UAPJames/status/2057061621818683797?s=20Avi Loeb on Neil DeGrasse Tyson via Red Panda Koala @RedPandaKoala on Xhttps://x.com/RedPandaKoala/status/2056986929795871046?s=20Starship Flight 12 Launch via SpaceX Broadcasthttps://www.spacex.com/launches/starship-flight-12Become a supporter of this podcast: https://www.spreaker.com/podcast/the-tempest-universe--4712510/support.Please follow the #podcast on YouTube: https://www.youtube.com/@TheTempestUniversePodcast?sub_confirmation=1

LIVE: SpaceX Starship Launch & UFO News Starship Flight 12 (IFT-12) is the maiden flight of Starship Version 3 (Block 3), using Booster 19 (B19) and Ship 39 (S39). It marks the first launch from Starbase's new Orbital Launch Pad 2 (Pad B) and debuts major redesigns for full rapid reusability. The flight is a suborbital test (transatmospheric trajectory), with the booster splashing down in the Gulf of Mexico and the ship in the Indian Ocean. Launch targeted for May 21, 2026, around 5:30–7:00 PM CDT (window shifted to ~6:00 PM CT).Key Highlights and Special Features First V3 Vehicles: Significant upgrades to Starship, Super Heavy, and Raptor 3 engines (clean-sheet propulsion changes, increased tank volume, new startup methods, larger grid fins on booster). These incorporate lessons from prior flights for higher performance, reliability, and eventual 100+ ton payloads to orbit. New Launch Pad (Pad 2): First use of the redesigned pad with upgraded propellant farms (more capacity and faster pumps) and improved tower chopsticks (electromechanical actuators for speed/reliability). Heavy Payload Demo: Deploys 22 Starlink simulators (~44 tonnes total mass, a record for Starship tests). Includes 20 standard simulators + 2 specially modified ones to scan Starship's heat shield during flight and transmit imagery (testing future tile inspection for return-to-launch-site missions). Some tiles were painted white to simulate damage.In-Space and Reentry Tests: Single Raptor engine relight in space.Controlled reentry with banking maneuver (simulating future Starbase return trajectory).Intentional stress test on rear flaps. One heat shield tile was intentionally removed to measure the effects on adjacent tiles. Booster Objectives: Full launch, ascent, hot-staging separation, boostback burn, and landing burn — but no tower catch attempt (conservative water landing as it's the first V3 flight).Raptor 3 Power: 33 engines on the booster delivering massive thrust (over 9,000 metric tons), with improved reliability shown in static fires. This flight focuses on proving the redesigned architecture in real conditions rather than attempting catches or full orbits yet. It's a big iterative step toward operational reusability, orbital refueling, and missions like Artemis or Mars. Attribution Spielberg on The Late Show via UAP James@UAPJames on X https://x.com/UAPJames/status/2057061621818683797?s=20 Avi Loeb on Neil DeGrasse Tyson via Red Panda Koala @RedPandaKoala on X https://x.com/RedPandaKoala/status/2056986929795871046?s=20 Starship Flight 12 Launch via SpaceX Broadcast https://www.spacex.com/launches/starship-flight-12 Become a supporter of this podcast: https://www.spreaker.com/podcast/the-tempest-universe--4712510/support. Please follow the #podcast on YouTube: https://www.youtube.com/@TheTempestUniversePodcast?sub_confirmation=1

Sponsor Link:To secure your online life and save money into the bargain, check out our NordVPN offer - Click HereStarship V3 is on the pad and tonight's the night — Flight 12 launches the most powerful rocket ever built. Plus: Webb solves a decades-old Neptune mystery, why space debris is quietly corrupting climate science, new doubts cast on DESI's dark energy results, a smarter route to the Moon, and why the galaxy may be full of hellish Venus-twins rather than Earths. All that on Astronomy Daily for Thursday, May 21, 2026.Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To check out our great NordVPN money saving deal - Click HereAstronomy Daily • S05E107 • Wednesday 21 May 2026 Starship V3 is on the pad and counting down for Thursday's debut launch — we bring you the full update including technical objectives, the Artemis stakes, and a sober note about a worker fatality at Starbase. Plus: a NIST proposal to build GPS for the Moon using lasers inside permanently frozen polar craters; space station startup Vast enters the satellite market; JWST finally has an explanation for the universe's impossibly large early black holes; the Roman Space Telescope locks in a September 2026 launch; and interstellar comet 3I/ATLAS gives up two remarkable new secrets — alien water thirty times richer in heavy hydrogen than anything in our solar system, and pre-discovery images that show it was spotted before anyone knew it was there.   Stories This Episode •       STORY 1 — Starship V3 Flight 12: Launch window opens Thursday 21 May at 6:30 PM EDT (8:30 AM AEST Friday 22 May). Splashdown of upper stage in Indian Ocean off Western Australia ~65 min after liftoff. First flight of Starship V3, first use of Starbase Pad 2. Key objectives: Raptor 3 engines, heat shield imaging by modified Starlink sats, 22 dummy Starlink deployments, Raptor relight in space. Worker fatality at Starbase 15 May under OSHA investigation. •       STORY 2 — Lunar GPS via NIST: Proposal to place ultrastable silicon optical cavity lasers in permanently shadowed craters near lunar south pole (~16K, near-perfect vacuum). Could enable lunar GPS network, atomic timekeeping on Moon, precise satellite ranging, gravitational wave detection. •       STORY 3 — Vast Corporation: Space station builder announces new line of high-power satellites, expanding beyond Haven-1 into commercial satellite manufacturing. Announced 19 May 2026. •       STORY 4 — JWST Black Holes: New arXiv paper proposes 'episodic super-Eddington accretion' in gas-rich dark matter-dominated early galaxies explains overmassive black holes found by JWST. Identifies them as 'missing link' between heavy seeds and luminous quasars. •       STORY 5 — Roman Space Telescope: Launch now confirmed as early as September 2026 — 8 months ahead of schedule, under budget. 100x Hubble's field of view, 1,000x survey speed. Targets dark energy, dark matter, exoplanets. Coronagraph for direct exoplanet imaging. •       STORY 6 — 3I/ATLAS: Pre-discovery images found in Rubin Observatory data from 21 June–2 July 2025, over a week before official ATLAS discovery. Water deuterium ratio at least 30x higher than any solar system comet (ALMA/U of Michigan/Nature Astronomy). Comet estimated ~12 billion years old.   Key Links •       SpaceX Starship Flight 12 livestream: spacex.com •       Flight 12 timeline (Space.com): space.com/space-exploration/launches-spacecraft/what-time-is-spacex-starship-v3-launch-starship-flight-12-timeline •       Starbase worker death (Space.com): space.com/space-exploration/launches-spacecraft/worker-dies-at-spacexs-starbase-in-leadup-to-starship-v3-megarocket-launch •       Lunar laser GPS (NIST): nist.gov/news-events/news/2026/05/shooting-moon-ultrastable-lasers-dark-craters-could-enable-lunar-navigation •       Vast satellite announcement: space.com (19 May 2026) •       Roman Space Telescope launch update: nasa.gov •       3I/ATLAS pre-discovery images: space.com/astronomy/comets •       3I/ATLAS water chemistry (ALMA): almaobservatory.orgBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To get our special money saving deal from NordVPN - Click Here A launch day episode packed with big science and bigger rockets. Today we cover the real-time launch of the ESA/China SMILE space weather satellite, SpaceX's Starship V3 sitting on its brand-new pad (and why it's now heading for Thursday), a UCL study warning that megaconstellation launches may be accidentally conducting an 'unregulated geoengineering experiment' in our upper atmosphere, the world's first space-based neutrino detector operating in orbit, extraordinary evidence in Antarctic ice that Earth is collecting material from a dead star, and a clever new cosmic mapper called TIME that studies the ancient universe using a single spectral line.Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To grab our special money saving NordVPN deal - Click HereIn today's episode, Anna and Avery cover a blue whale-sized asteroid making a close pass of Earth today, the imminent debut of SpaceX's most powerful rocket yet, NASA's Psyche spacecraft successfully completing its Mars gravity assist, fresh science arriving at the ISS, a new physics paper challenging the simulation hypothesis at its foundations, and Congress pushing back hard against proposed cuts to NASA's science budget.   Story 1 — Asteroid 2026 JH2 Newly discovered asteroid 2026 JH2 (first spotted 10 May 2026) makes a close Earth flyby today at ~90,000 km — within the orbital radius of many satellites. Estimated size: up to ~35 metres (blue whale-sized). Zero impact risk confirmed. Observable with binoculars at peak magnitude ~11.5. Live stream available via the Virtual Telescope Project. Orbital period: 3.7 years between Earth and Jupiter.   Story 2 — Starship V3 / Flight 12 SpaceX targets May 19, 2026 for the debut of Starship Version 3 (Flight 12) from Pad 2 at Starbase, Texas. Launch window opens 6:30 PM EDT. Key upgrades: Raptor 3 engines (250 tf SL thrust, up from 230 tf), three larger grid fins, new integrated hot-stage design, updated propellant systems. No tower catch on this flight; booster splashes in Gulf of Mexico. Upper stage (Ship 39) targets Indian Ocean after 65 minutes. Payload: 22 Starlink simulator satellites. Critical step toward Artemis lunar landings.   Story 3 — NASA Psyche Mars Flyby On 15 May 2026 at 3:28 PM EDT, Psyche completed its Mars gravity assist at 4,500 km altitude travelling at 12,333 mph. Passed inside the orbits of both Martian moons. Confirmed by Doppler shift monitoring. Mission: en route to metal-rich asteroid 16 Psyche (arrival July 2029). Thousands of Mars observations gathered for science calibration.   Story 4 — SpaceX CRS-34 SpaceX's 34th Dragon cargo mission docked at ISS at 6:37 AM EDT on 17 May 2026, delivering ~6,500 lb of cargo for Expedition 74. Science payloads include: microgravity simulator validation study, wood-based bone scaffold (osteoporosis research), red blood cell/spleen spaceflight study. Dragon will return to Earth mid-June splashing down off California coast.   Story 5 — Simulation Hypothesis Paper Paper: ‘Non-algorithmic physics and the limits of the simulation hypothesis', published in the Journal of Holography Applications in Physics. Authors: Mir Faizal (UBC Okanagan), Lawrence Krauss, Arshid Shabir, Francesco Marino. Core argument: using Gödel's incompleteness theorems, the team argues any theory of quantum gravity would be non-algorithmic — containing truths no computation can capture. Since any simulation requires algorithms, reality cannot be fully simulated. Note: this is a theoretical paper, not an experimental result. The authors acknowledge no complete quantum gravity theory currently exists.   Story 6 — NASA FY2027 Budget House Appropriations Committee approved $24.438 billion for NASA in FY2027 — matching FY2026 and rejecting the White House's proposed $18.8 billion (a 23% cut). The proposal would have cut the Science Mission Directorate by 46%, terminating 50+ missions. Committee protects science, Habitable Worlds Observatory, and STEM education funding. Bill still needs Senate passage and reconciliation.   Skywatching TONIGHT — Moon-Venus conjunction: look west after sunset for the crescent Moon close to brilliant Venus. Earthshine visible on dark lunar limb. Southern Hemisphere: look west-northwest, best in first hour after sunset. Blue Moon on 31 May (second full Moon of the month).  Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

I spoke to Scoopy Trooples, the pseudonymous co-founder of Alchemix, about self-repaying loans, the wreckage of DeFi scams, and what ethical crypto finance could actually look like.We dig into how Alchemix works, allowing your debt pays itself off over time and what's new in V3. We also get into the broader rot in the space: meme coin pump-and-dumps, celebrity rug pulls, prediction market gambling, and how DeFi summer's promise curdled into financial nihilism. Scoopy is one of the rare crypto founders willing to say the quiet part loud,  that most of what gets built in this space is zero-sum at best and predatory at worst, and has been trying to build something different since day one.This episode is sponsored by NYM, the world's most private VPN. Unlike traditional VPNs, Nym uses a decentralized mixnet to scramble your internet data — hiding who you're talking to, when, and how often. You can switch between full mixnet mode for maximum anonymity, or a faster VPN mode for everyday use.Use the code blockchainsocialist when signing up and get an extra month!If you liked the podcast be sure to give it a review on your preferred podcast platform. If you find content like this important consider donating to my Patreon starting at just $3 per month. It takes quite a lot of my time and resources so any amount helps. Follow me on Twitter (@TBSocialist) or Mastodon (@theblockchainsocialist@social.coop) and join the r/CryptoLeftists subreddit. Support the showICYMI I've written a book about, no surprise, blockchains through a left political framework! The title is Blockchain Radicals: How Capitalism Ruined Crypto and How to Fix It and is being published through Repeater Books, the publishing house started by Mark Fisher who's work influenced me a lot in my thinking. The book is officially published and you use this linktree to find where you can purchase the book based on your region / country.

This episode reviews the eight cranial bones for board exam prep, focusing on their role in protecting the brain, the function of sutures as immovable joints for growth and strength, and the cushioning effect of cerebrospinal fluid. It highlights key bones and functions, including the frontal (decision-making), parietal (sensory processing), temporal (hearing, balance, memory), and occipital (vision, foramen magnum). The sphenoid is emphasized as a central hub with important trigeminal nerve pathways (V1, V2, V3), while the ethmoid is noted for its role in the nasal cavity and olfaction.  #1 dental hygiene boards review: 

Scoopy Trooples is the Founder of Alchemix.Many DeFi protocols from 2021 are gone. But Alchemix never quit.In this episode, Scoopy walks through the full Alchemix V3 redesign: how the new Mix-Yield Token (MYT) creates vaulted yields users can borrow against at 90% LTV, with zero interest, looping up to 10x, and how fixed-term redemptions unlock an entirely new yield primitive. Alchemix was the first protocol to use yield-bearing collateral for loans. V3 looks to be the long overdue evolution of the self-repaying loan, and we think this version can scale to be even bigger than V1.------

Quanto vai custar GTA 6? CEO fala sobre preço e promete valor justo, justo pra quem? Brasil é campeão e recebe mais de 1 bilhão de ligações abusivas por mês. RTX 5070 ganha versão de 12 GB: é o fim do sofrimento nos notebooks? Aleluia! YouTube libera Picture-in-Picture de graça para todos os usuários. Sony finalmente explica DRM de 30 dias do PlayStation: 'verificação temporária'. Visa testa IA agêntica que paga suas contas 'sozinha'. Google investe bilhões na Anthropic, Cade e União Europeia pressionam Google, OpenAI pede desculpas, China barra venda de startup de IA, Intel cresce com IA. E ainda as novidades com nossos apresentadores direto da Gamescom 2026.

The Bank of England expects stock markets around the world to fall as share prices are not reflecting the many risks facing the world economy, so says the Bank of England Deputy Governor and head of financial stability Sarah Breeden. It is unusual for a senior figure at the Bank to be so forthright on market movements. Breeden, who is also the Bank's head of financial stability, declined to say when she expected markets to fall or by how much, but pointed to a number of factors that markets seemed complacent about. The Chinese artificial intelligence company, DeepSeek, has released a preview version of its long-awaited new model, allowing users to test its capabilities and features. DeepSeek introduced its first open source model last year, causing turmoil in western tech markets because of its matching capabilities with American rivals and low cost. The firm says its V3 model achieves strong performance against others. And one of the world's biggest car shows has been showcasing the very latest electric car technology. The timing of the Beijing show is pivotal - as the Iran war pushes up fuel prices, global demand for EVs is accelerating.Presenter: Leanna Byrne Senior producer: Craig Henderson

Is your corn crop ready for the V3 milestone? In this episode, we sit down with Scott Dickey, Regional Agronomy Manager at Beck's Hybrids, to break down the critical management decisions facing corn growers right now. If your budget includes a top-dress application, you can't afford to miss this discussion on timing and nutrient balance. In this episode, we cover: The V3 Sweet Spot: Why Beck's PFR (Practical Farm Research) proves that V3 is the ultimate timing for side-dress Nitrogen applications. The Sulfur Ratio: Why 25–30 lbs of Sulfur is the "magic number" for your crop's health and nitrogen efficiency. Post-Freeze Checkup: Assessing the "cosmetic bruising" from the recent cold spell—should you be worried? (Hint: Scott has some reassuring news). Budgeting for Yield: Making your inputs work harder for you this season. Guest: Scott Dickey, Regional Agronomy Manager at Beck's Hybrids YouTube Video Timestamps 0:00 – Introduction: Agronomy Moment with Wendell Koehn 0:52 – Corn Management & Early Season Field Reports 1:25 – Assessing Cold Weather Bruising: Is it Cosmetic? 1:55 – The V3 Milestone: PFR Proven Side-Dress Timing 3:20 – Nitrogen Efficiency: Units per Bushel Targets 4:40 – Managing Risk: Late-Season Top Dressing Options 6:22 – Sulfur Strategy: Pre-Plant vs. Top Dress Rates 6:55 – Final Advice: Pre-Planning and Product Availability 8:50 – "Tailgate Talk" Bloopers & Outtakes Topic: Corn Management & PFR Proven Side-Dress Strategies #CornFarming #Agronomy #BecksHybrids #NitrogenManagement #V3Corn #FarmTips #cropyieldpotential TOP Ag Services is a Beck's Hybrids seed dealer as well as a franchise partner for Sweetwater Technologies. We provide Hybrid Corn Seed, Soybean Seed, and Wheat Seed. Beck's has access to the best genetics and trait technologies from suppliers worldwide. Through Sweetwater Technologies we have access to industry standard name brand herbicides, insecticides, fungicides, and many others! We have access to biological stress mitigators, biological fertility foliar, and many other products in the category of crop protection and stress prevention. Through our business associates Dirks Bros, we offer fertilizer, soil sampling, and a whole suite of crop nutrition solutions. We are the first to market with the best products & provide the latest, most accurate agronomic information through proven research. If you need agronomic assistance or want to be added to these updates, feel free to reach out via the messaging feature or contact us at topagservices.com/contact or call us at 417-684-5301 to be connected with someone who can help you. All information here is for informational purposes only. It is not a recommendation for your farm. You should not act or refrain from acting on the basis of any content included in this presentation without seeking other professional advice. The contents of this presentation contain general information and may not reflect current agronomic or developments or address your situation. We (Wendell Koehn and all of his affiliates, guests, or assistants) disclaim all liability for actions you take or fail to take based on any content in this presentation.

SpaceX just hit the brakes. Flight 12, the first launch of the Starship V3, is officially pushed to May. While Elon claims it is a 4 to 6 week tweak, there is more going on with the V3 hardware than just a schedule shift. We are breaking down the specific bottlenecks holding up the most powerful rocket ever built.The Raptor 3 Risk: The new shroudless engines are supposed to be more efficient, but rumors of cooling issues during static fires are heating up.The Stretch Problem: V3 is significantly taller than its predecessors. We look at whether the structural welds can actually handle the increased propellant mass.Heat Shield 3.0: After the near-misses of Flight 11, did SpaceX finally solve the tile-loss issue, or is that what is causing the May delay?The $2 Trillion Pressure: With the SpaceX IPO rumors swirling, a failure on the maiden V3 flight is not an option. Is this a technical delay or a strategic one?The transition from V2 to V3 is the biggest hardware jump in Starship history. If they do not get this right in May, the entire moon manifest slides. Listen to find out what is actually happening at Starbase.

Gospel of Moses?; For the Levites - called out; Redirecting Israel; Rebuilding the Temple?; Lively stones; Covetous practices; Abortions in Egypt?; Bondage of Egypt; Standing armies; William the conqueror; Law of Nations; No treaties; Covenants/Leagues; Power with the people?; Making agreements; History repeating itself; Arts of the Temple; No social security trust fund; Ear-tickling preachers; Replacement theology; Jesus, king of Judea; Rejecting Jesus?; Binding people together; Golden calf?; "Idolatry"; One purse; Changing word meanings; Altars of charity; Corban?; Burnt offerings?; Committing to loving neighbors; The story of Leviticus; Lev 7:1 Likewise…; vav+zayin-aleph-tav; Continuing from Lev 6; Two witnesses; Sophistry; Shearing sheep; Zoroaster?; Learning the past to not repeat it; Jews accepting Jesus; "Satan"; Parables; Leaving all behind to follow Jesus; "law" - tav-vav-resh-tav; Trespass offering; Status of offering; Sprinkling blood?; V3 fat of the rump; What if you didn't have sheep?; Offering value; Poker hand?; Kingdom business or doing your own thing; Anarchists?; Perfect law of liberty; Caring for neighbors; Kidneys?; Liver?; Why cryptic language?; Postponing the kingdom; Mystery Babylon; Getting scales off your eyes; Being doer's of the Word; Dry bones; Ministering to congregations; Election day?; Government corruption; "Holy"; Cougars; Offerings to take care of others; Giving wisely; Thanksgiving; "frying"; Why anoint with oil?; Spirit in the offering; Who are the priests?; DOers of the Word; v14 - heave offering; tav-vav-dalet-tav (Thanksgiving); Worldly ways; vs Righteousness; Two types of governments; Loving your enemy; Charity vs force; Tax-funded churches?; Straying from Christ's plan; Advocating repentance; Are you in?

In this episode, Chris Cochrane dives into Apple’s $599 MacBook Neo – the cheapest Mac laptop ever made – and whether it spells trouble for Chromebook makers. He also covers Samsung’s CEO blaming AI for rising phone prices, Framework raising RAM prices for the third time in three months, Meta unveiling four custom AI chips, NVIDIA’s GTC 2026 conference preview, a billion-dollar bet against large language models, Microsoft’s game-changing Project Helix Xbox with native Steam support, Windows 11’s new Xbox Mode, and SpaceX gearing up for a critical Starship Flight 12 test. – 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 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 Apple MacBook Neo The lead story covers Apple’s MacBook Neo. It launched at $599 and marks the cheapest Mac laptop ever made. The device runs on the A18 Pro chip from the iPhone 16 Pro. Cochrane notes a solid market for students, casual users, and anyone who needs a reliable home laptop. However, he advises photographers and videographers to invest in a MacBook Air or Pro instead. The real question remains whether this kills Chromebook sales in education. Samsung CEO Blames AI for Price Hikes Cochrane tackles Samsung’s Galaxy S26 price increases. CEO TM Roh blamed AI infrastructure demand for the hikes. Meanwhile, DDR4 DRAM prices surged sevenfold in a single year. Cochrane points out the irony. Samsung manufactures memory chips, shifted production toward AI data centers, and now cites that same shortage to justify higher consumer prices. He calls the situation “a little shady” but appreciates the transparency. Framework RAM Prices Up Again The RAM crisis extends beyond phones. Framework raised RAM prices for the third consecutive time in three months. Cochrane reinforces advice from a recent episode. He urges listeners to buy now before prices climb further. Analysts project peak prices by mid-2026. The shortage could last through late 2027. 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. Meta Unveils Four Custom AI Chips Cochrane reports on Meta’s four new MTIA chip generations. The company aims to reduce its dependence on NVIDIA by building custom silicon. The MTIA 300 is already in production. New generations will ship every six months through 2027. The chips are built on open-source RISC-V architecture and manufactured by TSMC. NVIDIA GTC 2026 Preview NVIDIA’s GTC conference starts Monday in San Jose. Jensen Huang promises “chips the world has never seen.” Rumored architectures include Rubin Ultra and Feynman. The keynote streams free at nvidia.com on Monday at 11am Pacific. Cochrane notes that while companies like Meta are building chips to escape NVIDIA, competition will eventually catch up. Yann LeCun’s AMI Labs Raises $1.03 Billion Former Meta AI chief Yann LeCun raised $1.03 billion for AMI Labs at a $3.5 billion valuation. It marks the largest European seed round in history for a company just four months old. LeCun is building “world models” that learn from physical reality rather than text. Backers include Jeff Bezos, NVIDIA, and Samsung. Cochrane notes both approaches to AI can coexist. Microsoft Project Helix Microsoft revealed Project Helix at GDC 2026. For the first time, an Xbox will natively support Steam and GOG. Cochrane sees it as both desperate and inevitable. The only reason to buy from the Xbox store would be exclusives. He notes this is a breath of fresh air after months of talk that the Xbox era was ending. Dev kits ship in 2027 with a consumer launch likely late 2027 or 2028. Windows 11 Xbox Mode Microsoft is rolling out Xbox Mode to all Windows 11 PCs in April. The full-screen controller-optimized interface works with Steam, Epic, and Battle.net. Cochrane sees it as the first half of Microsoft’s two-phase gaming strategy. Xbox Mode trains users now. Project Helix delivers dedicated hardware later. He asks whether Sony and Nintendo will follow in Xbox’s footsteps. SpaceX Starship Flight 12 SpaceX announced stacking complete for the next Super Heavy booster at Starbase. Flight 12 targets April and debuts V3 hardware with Raptor 3 engines. Orbital refueling remains the critical unknown for NASA’s Artemis III moon landing. SpaceX has a track record of delivering eventually, just never on Elon’s original timeline. The post Is the MacBook Neo a Chromebook Killer? #1860 appeared first on Geek News Central.

In this episode of LAB the Podcast, Zach Elliott sits down with Michael Barna, Tampa native, commercial real estate executive, and board member of VU VI VO (V3).Michael shares about his journey of faith, his life in business, and why he and his wife Bryn are passionate about supporting the work of V3. Together they discuss the importance of partnership behind the scenes, the role of beauty in expressing the gospel, and the growing vision of projects like “The Vision of Jesus” series.This conversation offers a glimpse into the people who help make the mission to express the life and beauty of the gospel.The Vision is Jesus Visual Series: https://vuvivo.com/the-vision-is-jesusSehnsucht Symphony | Listen: https://vuvivo.com/Support / Sponsor: https://vuvivo.com/supportFor More Videos, Subscribe: @VUVIVOV3 | https://www.youtube.com/@VUVIVOV3Follow: @labthepodcast | @vuvivo_v3 | @zachjelliottThank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast.Support the show

Tonight on The Late Night Vision Show we're reviewing the AGM Rattler V3 25-384 thermal rifle scope. This is a compact and affordable option built for hog and predator hunters. With a 384 resolution sensor, 2.5x base magnification, larger higher resolution display screen, and improved thermal sensor, the new Rattle V3 brings several updates over the previous Rattler V2 models. We discuss image quality, real world hunting performance, and whether the V3 25-384 is the right thermal for your needs.

Tonight on The Late Night Vision Show we review the AGM Rattler V3 35-640 LRF thermal rifle scope. This scope features a 2.5x base magnification, a 640 resolution sensor and a LRF built directly into the lens. With an onboard ballistic calculator and an American Defense Manufacturing QD mount included, the V3 brings serious capability to predator and hog hunters. We break down image quality, real world performance and ID range and discuss whether this new Rattler upgrade is a scope you should consider.

Thursday, February 5, 2026 - Week 6 Happy #RareDisease & #BlackHistory Month!   #NaturalHistory means how this disease progresses.  Reminder: We have only been at this for 17 years, first patients were identified via Hamdan, 2009. https://pubmed.ncbi.nlm.nih.gov/19196676/   Retrospective Digital NHS: cureSYNGAP1.org/Citizen (Growing list of tools available to families, for free)   Prospective Multi-disciplinary Multi-site NHS: ProMMiS cureSYNGAP1.org/ProMMiS   Reminder, only possible by CS1 support for non-CHOP sites and travel plus huge gift to Penn. https://www.chop.edu/news/25-million-gift-penn-medicine-and-children-s-hospital-philadelphia-establishes-center-epilepsy   Potential for being a control arm in the future.   Protocol: https://www.linkedin.com/posts/curesyngap1_syngap1-stxbp1-dee-activity-7425223573134327808-SVEQ & early data: https://pubmed.ncbi.nlm.nih.gov/40119723/   Join the ~160 families who have enjoyed excellent clinical care and contributed tot he future of SYNGAP1.  Today, a 4 month old is going! CHOP: 119 new, V2- 67, V3- 32, V4- 10, V5- 4 CHCO: 37 new, V2- 7 Stanford: 8 new, V2- 2 Total: 164 (double counting one family who goes to multiple sites)   Survey English: https://curesyngap1.org/SurveyProMMiS Spanish: https://curesyngap1.org/encuestaProMMiS   94 Responses to survey, so far: Why not? Did not receive an invitation, Too far to travel, Too expensive Barriers: Logistics, Cost, Time off, Behaviors, Insurance   ETC. Pubmed 2026 is at 6!  But will soon be 7 with the McKee paper! https://pubmed.ncbi.nlm.nih.gov/?term=syngap1&filter=years.2026-2026&sort=date   Biorepository needs more samples.  Check out the list and map here https://docs.google.com/presentation/d/1IjaHILXj7AlBDlbTJgvYrkBS_0bnI8VCnTIiPXJ7JGM/edit?usp=sharing and contribute blood.  The data and research we do with these samples is invaluable.   May 28, San Francisco, CA: cureSYNGAP1.org/SF26   SOCIAL MATTERS 4,668 LinkedIn.  https://www.linkedin.com/company/curesyngap1/ 1,520 YouTube.  https://www.youtube.com/@CureSYNGAP1 11.2k Twitter https://twitter.com/cureSYNGAP1 45k Insta https://www.instagram.com/curesyngap1/   $CAMP stock is at $3.59 on 5 Feb. ‘26 https://www.google.com/finance/beta/quote/CAMP:NASDAQ   Like and subscribe to this podcast wherever you listen.  https://curesyngap1.org/podcasts/syngap10/ Episode 198 of #Syngap10 #CureSYNGAP1 #Podcast

In this episode of LAB the Podcast, Zach Elliott sits down with artist and designer Mauricio Vega, founder of the SuperVivo Art Collective and the first commissioned artist for V3's Freedom Is Beautiful project.Mauricio shares his life journey—from growing up under communism in Cuba, navigating scarcity and censorship,  to discovering faith, creativity, and calling in the midst of political and spiritual tension. This conversation introduces the very first Freedom Is Beautiful art commission—an original piece created in collaboration with SuperVivo that launches an ongoing annual series. Together, we talk about the power of beauty to confront darkness, and why leading with beauty matters in the fight against human trafficking.Support / Sponsor: https://vuvivo.com/supportFor More Videos, Subscribe:   @VUVIVOV3 | https://www.youtube.com/@VUVIVOV3Follow: @labthepodcast | @vuvivo_v3 | @zachjelliottShop V3 Conservatory Collective: https://v3conservatorycollective.myshopify.com/collectionsOrder Freedom Roast: https://www.buddybrew.com/products/life-beauty-blend-lab-podcast-x-bbc-collaboration#LABthePodcast #FreedomIsBeautiful #MauricioVega #SuperVivo #ArtAndFaith #ChristianArtists #FaithAndCulture #LeadingWithBeauty #ArtAsResistance #CreativeFaith #BeautyAndJustice #ChristianImagination #HumanTraffickingAwareness #LABInitiative #V3 #FaithInAction #CulturalEngagement #ArtForGoodSupport the show

This episode is a little different. I'm diving into tennis gear, everything except the racquet and shoes, with the founder of one of my favorite brands, ADV. I use their bags, dampeners, and even sweat bands.Lavie Sak has a tech background, plays tennis, and used to coach as well. We explore how his company lets players lead the design of its products. From dampeners to grips to their popular bags, ADV innovates as well as any company in tennis. Lavie shares the messy first prototype, the tough cuts, and why ADV chose quality over mass pricing while partnering with pros who give real feedback.How ADV got startedDampener testing across 27 racquets and sound profilesTennis grips - how to choose between dry and tackyDesigning the ADV Pro bag and prioritizing featuresHow they develop an idea into a finished productFeedback loops that shaped V2 and V3 of the bagWhy ADV makes two backpacksCurated training kit components and use casesPricing tradeoffs, materials, and longevityDoubles tips on serve variety and aiming middlePartnerships with Sem Verbeek, JP Smith, and Zus TennisI use the ADV Pro for travel and the Flex bag locally around Fort Worth.Links:Shop ADV TennisLearn more about ADV & follow:ADV Tennis - InstagramADV Tennis - YouTubeADV Tennis - Facebook ----- **Join the #1 Doubles Strategy Newsletter for Club Tennis Players** New doubles strategy lessons weekly straight to your inbox **Become a Tennis Tribe Member**Tennis Tribe Members get access to premium video lessons, a monthly member-only webinar, doubles strategy Ebooks & Courses, exclusive discounts on tennis gear, and more. Learn More & Sign Up Here **Other Free Doubles Content** Serve Strategy Cheatsheet Return Strategy Cheatsheet Serve Strategy 101 - Video Course

Mark Omo and James Rowley spoke with us about safecracking, security, and the ethics of doing a bad job. Mark and James gave an excellent talk on the development of their safecracking tools at DEF CON 33: Cash, Drugs, and Guns: Why Your Safes Aren't Safe. It included a section of interaction involving the lock maker's lawyers bullying them and how the Electronic Frontier Foundation (EFF) has a Coders' Rights Project to support security research. As mentioned in the show, the US Cyber Trust Mark baseline has a very straightforward checklist; NISTIR 8259 is the overall standard, NISTIR 8259A is the technical checklist, NISTIR 8259B is the non-technical (process/maintenance) checklist. Roughly the process is NISTIR 8259 -> Plan/Guidance; NISTIR 8259A -> Build; NISTIR 8259B -> Support. We discussed ETSI EN 303 645 V3.1.3 (2024-09) Cyber Security for Consumer Internet of Things: Baseline Requirement and the EU's CRA: Cyber Resilience Act which requires manufacturers to implement security by design, have security by default, provide free security updates, and protect confidentiality. See more here: How to prepare for the Cyber Resilience Act (CRA): A guide for manufacturers. We didn't mention Ghidra in the show specifically, but it is a tool for reverse engineering software: given a binary image, what was the code? Some of the safecracking was helped by the lock maker using the same processor in the PS4 which has many people looking to crack it. See fail0verflow :: PS4 Aux Hax 1: Intro & Aeolia for an introduction.  Mark and James have presented multiple times at Hardwear.io, a series of conferences and webinars about security (not wearables). Some related highlights: 2024: Breaking Into Chips By Reading The Datasheet is about the exploit developed for the older lock version on the safes discussed in the show. USA 2025: Extracting Protected Flash With STM32-TraceRip is about STM32 exploits.