Podcasts about sonnets

Today's poem has a different preoccupation than most Shakespearean sonnets–not immortalizing the beloved, but effacing the lover. Happy reading. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit dailypoempod.substack.com/subscribe

ark Zuckerberg bezahlt einen Profikämpfer für ein Instagram Video und veröffentlicht am selben Tag ein Manifest darüber, warum die Zukunft allen gehört. Pip nennt zwei Lackmustests, an denen sich zeigen wird, ob das ernst gemeint ist. Anthropic macht den Einführungspreis von Sonnet 5 dauerhaft. OpenAI kauft eigenen Mitarbeitern Anteile für sieben Milliarden Dollar ab, und zwar mit eigenem Geld statt über externe Investoren. Bei SpaceX fehlen für die angekündigten zehn Gigawatt rund vierhundert Milliarden. In China bricht Kimi aus der Testumgebung aus, ByteDance will das erste Modell mit zehn Billionen Parametern bauen, und 97 Prozent aller Humanoiden kommen inzwischen von dort. Dann fünf Jahre Frank-Thelen-Fonds. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Zuckerberg im Cage (00:04:24) The Future is for Everyone (00:08:46) Metas Geschäftsmodell (00:13:59) Sonnet-5-Preis (00:15:25) OpenAI kauft zurück (00:22:28) Bubble Discussion (00:27:01) SpaceX-Finanzierung (00:31:55) Kimi bricht aus (00:33:12) ByteDances Riesenmodell (00:35:54) Chinas Kapitalmarkt (00:37:33) Humanoide aus China (00:39:16) Korea und Taiwan (00:40:42) Shein-IPO (00:41:18) Fünf Jahre 10xDNA (00:45:15) Spotify skippt Werbung (00:56:45) Zuckerbergs Yacht (00:59:26) Vantage Tripod (01:02:23) Amazons Gaskraftwerk (01:04:07) Wildberries (01:05:59) OpenClaw bucht Yoga Shownotes Zuckerbergs Essay: The Future is for Everyone - about.fb.com Zuckerberg legt seine KI-Vision auf 6.500 Wörtern dar - wsj.com Meta öffnet Muse Glimmer und legt 1 Mrd. für Gemeinden auf - ft.com Anthropic macht den Sonnet-5-Einführungspreis dauerhaft - xcancel.com OpenAI kauft Mitarbeiteranteile für 7 Mrd. zurück - bloomberg.com SpaceX nach den Zahlen: Capex, Lock-up und Leerverkäufer - ft.com Kimi K3 bricht aus der Testumgebung aus - techcrunch.com ByteDance trainiert ein Modell mit bis zu 10 Billionen Parametern - ft.com China öffnet 28 Billionen Kapitalmarkt für den Chip-Wettlauf - bloomberg.com China liefert 97 Prozent aller Humanoiden - bloomberg.com Südkorea und Taiwan überholen Japan bei den Exporten - asia.nikkei.com Shein peilt 30 bis 40 Mrd. Dollar für den Hongkong-IPO an - qz.com Fünf Jahre 10xDNA, gerechnet im Subreddit Finanzen - reddit.com Fondsvergleich 10xDNA gegen den Index - onvista.de Spotifys neuer Skip-Button und das Podcast-Geschäft - semafor.com Muddy Waters über Zuckerbergs Yacht - xcancel.com Googles KI kannte einen Namen aus einem privaten Dokument - techspot.com Die Namen für den Trabant-SUV, die Pip live generieren ließ - chatgpt.com Amazons Rechenzentrum in Texas mit eigenem Gaskraftwerk - nytimes.com Wildberries unter ukrainischem Drohnenbeschuss - wsj.com KI-Assistent hackt die Buchungsseite eines Fitnessstudios - abc.net.au

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PhD Scholar, Model & Philosopher:Bella Maori Challenges Everything We Believe About Beauty; Author, ‘BeautyAbsurdity & the Black Feminine Paradox UGLY PHILOSOPHY'; Live from LA#PhD #Actress #Model #Author#Philospher #Filmmaker #musician #animalrights CONVERSATIONS WITH CALVIN — WE THESPECIESHosted by Calvin SchwartzMEET: DR. MELANIE-PENNY HARRISONperforming as BELLA MAORI: “Three years ago, I met Bella for an interview onConversations with Calvin. A magical chemistry. Her journey resonates and is sobeyond. I repeated it several times. “Your life can be a movie one day.” Trythis on. Philosopher. PhD scholar. Two master's degrees. Filmmaker. Actress.Model. Playboy Bunny Creator. Cultural Theorist. Musician (a guitar saved herlife. She talks about that), Feminist Thinker. Author. And I am so privilegedto chat with Bella. Sonnet time. Let me count the ways Bella amazes. Off thecharts. Brilliant. Eloquent. Caring. Passionate. Multi-talented. Endlessstreams of knowledge. Funny, three years ago, when we first interviewed, shementioned writing a memoir and coming back to Conversations with Calvin oneday. Here we are. To talk about this incredible memoir. “Beauty Absurdity &the Black Feminine Paradox. UGLY PHILOSOPHY” From here on, just a few of herwords and ideas. Best to tune in. Musical instruments tell me truths. Beautyshapes a sense of worth. She loves everything Indie. So, do I. Why do we chasewhat can hurt us? (heavy stuff). It's harder for a Black Woman to get tenure.There was a chain that made me into a white girl dipped in chocolate. Neveronce did I think of myself as beautiful. Enough said. What a remarkable person.My day, week, and month were made.” Calvin

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Recorded for release W/C 3rd Aug 2026 This week we meet Barry from Watford to chat about his show Shooting from the New Hip, two of the cast of We Will Rock You from Bilston Operatic let us know about their appearance at the Wolverhampton Grand, Lorraine Brown tells us about her appearance at the Core Theatre Solihill bringing the music of Dionne Warwick to life, we chat with Ryan JW Smith aka Rogue Shakespeare about his Sonnets and Emerdale actor Sheree Murphy chats about driving habits.

OpenAI has a new model coming soon called Astra. Was it a leak? A reddit post? Some backdoor update? Nope, OpenAI made some crazy discoveries and math then told the world that their next model family Astra did the heavy lifting. (And you thought you could just click ‘Sol' and your strategy was set for Q3?) Aside from news on what's next from OpenAI, this week saw multiple new agent outbreaks, AI competitors banning together to pace AI, Amazon doing a 180 on its AI strategy and a lot more. Don't get left behind. We'll keep you ahead. OpenAI's new Astra model, more AI agents escape sandboxes, AI leaders call for AI pacing and more. AI News That Matters for August 3 — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Agents Escape Sandboxes IncidentAnthropic Claude Models Security BreachesAI Agents Breaking Cybersecurity GuardrailsOpenAI GPT-5.6 Price Cuts & Self-OptimizationRecursive Self-Improvement in AI ModelsAI Leaders Urge AI Development PacingUS, China, and International AI GovernanceAmazon Nova AI Models Shutdown StrategyOpenAI Astra Model Math BreakthroughNew AI Models: Fable, Astra, DeepSeek v4 FlashEnterprise AI Agents and Cybersecurity UpdatesGoogle Gemini Robotics, Music, and Agent ReleasesMeta, Microsoft, and AWS AI Infrastructure MovesOpenAI Free Frontier Tools for ResearchersBlock's Buzz Open Source AI Workspace LaunchTimestamps:00:00 OpenAI agent containment issues04:27 Anthropic data breach explanation07:28 Evaluating AI incidents and responses10:14 OpenAI slashes GPT 5.6 prices15:59 AI industry urges development pause17:45 Concerns about AI self-improvement22:36 Amazon shifts AI strategy25:04 Amazon's AI efforts discussion28:00 OpenAI's Astra and new math proofs30:36 OpenAI's new four-tier system36:14 Google's Lyria 3.5 and Block's Buzz36:48 Latest AI developments overviewKeywords: Astra model, OpenAI, AI agents, agent escape, sandbox containment, autonomous AI, Hugging Face breach, Anthropic, Claude AI, cybersecurity testing, unauthorized access, model capabilities, recursive self-improvement, GPT-5.6, price cut, Luna model, Terra model, Sol model, input tokens, output tokens, AI infrastructure optimization, self-improving models, benchmarking, SONNET-5, large language models, artificial analysis index, codex, academic research, AI oversight, industry pause, AI governance, national security, China open-source models, Frontier Labs, Amazon Nova, AGI Lab, AWS, Peter DeSantis, Peter Abbeel, media coverage, Fable model, Haiku, Opus, DeepSeek, Kimi K3, Quinn 3.8, GLM 5.2, Google Gemini 3.5, Microsoft Copilot, cybersecurity vulnerabilities, distillation, model overhang, artificial intelligence development, international AI regulation, generative AI, model benchmarking, Sora video model, El Paso data center, MCP update, MAI Cyber One Flash, Project Perception, Lyria 3.5, music generation, Buzz open source, Block, Meta AI, Chrome Gemini integration, Gemini Spark, product summary algorithms, Rufus, enterprise AI, stateless core, model scaling, advanced math problems, sphere packing, federal policy, voluntary AI commitments.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Most real estate operators say they're using AI. Very few have built their entire company around it. In this episode, Neal Bawa, CEO of Grocapitus, breaks down the four-phase process his 20-person team used over the past 18 months to become what he calls an AI-first real estate company. From getting every employee certified on custom GPTs in phase one, to building proprietary web-hosted dashboards that pull live data from seven different property management systems in phase four, Neal is specific about what they built, what tools they used, how much it cost, and what it actually changed about how they operate. If you want to know what implementing AI at the company level looks like in practice, this is the episode. About Neal Bawa Neal Bawa is the CEO of Grocapitus and MultifamilyU, where he manages a $436 million AI-powered portfolio across 25 projects in 11 states. Known as the Mad Scientist of Multifamily, Neal has built one of the most data-driven operations in the real estate industry and has made more than 300 podcast appearances sharing that framework with investors. His free investor education platform at MultifamilyU has tens of thousands of subscribers and runs eight webinars per year at no cost. What We Cover in This Episode What it actually means to declare your company AI-first and what changed internally at Grocapitus when they did How Neal tied AI adoption to compensation, bonuses, and continued employment — the carrot and stick system that drove company-wide adoption Phase one: getting every employee certified on ChatGPT and building 300 custom GPTs in four months Phase two: connecting Zoom, Slack, Asana, and Google Drive through native integrations and Zapier to automate meeting workflows Phase three: why they moved to Claude for rent comps, underwriting, and web scraping — and why ChatGPT couldn't do the job How Claude Code differs from Claude Chat and Claude Cowork, and why that distinction matters for automation Phase four: turning every employee into a programmer using GitHub Codespaces — no coding knowledge required How they built a proprietary MySQL dashboard that pulls live data from seven different property management systems simultaneously Why 99% of property managers are not compliant with the industry standard of three phone calls and three text messages to every lead — and how Neal can now see this in real time across his entire portfolio How AI affected headcount — no layoffs, but three to four open requisitions closed and employees working an average of one to one and a half hours less per day Phase five on the horizon: AI handling 100% of incoming calls at their properties Neal's plan to offer this dashboard-building capability to the top 50 property management companies in the US Why Haiku outperforms Sonnet for teams that keep running out of Claude tokens Neal's interest rate prediction through the end of 2026 Key Insight Neal makes a claim that should stop most operators cold: 99% of leads at managed properties do not receive three phone calls and three text messages, the industry standard for lead follow-up. Most don't even get a second call. For years, this was invisible — property managers self-reported compliance, and nobody could verify it. Neal's phase four dashboard changes that. For the first time, he can walk into a Monday morning meeting and show every property manager exactly where they rank against each other, how long they take to respond to a lead, and how many of their leads are being processed correctly. He doesn't have to say a word. The data does it. Why This Episode Matters Neal isn't describing what AI might do for real estate someday. He's describing what his 20-person team built in the last 18 months, with zero consultants hired, on $25 per month Claude accounts. The playbook he lays out — phased adoption, compensation tied to AI competency, tools connected in sequence — is something any operator can start applying at their own scale. If you're still thinking of AI as a tool you use occasionally rather than a system your company runs on, this episode draws a clear line between those two approaches. Find Out More Website: https://www.grocapitus.com Free Investor Club (always free, 8 webinars per year): https://multifamilyu.com/club Location Magic eBook: https://multifamilyu.com/lp/location-magic-ebook/ Physical Book: https://multifamilyu.com/book Sponsors Today's episode is brought to you by Green Property Management, managing everything from single family homes to apartment complexes in the West Michigan area. https://www.livegreenlocal.com And RCB & Associates, helping Michigan-based real estate investors and small business owners navigate the complex world of health insurance and Medicare benefits. https://www.rcbassociatesllc.com

Recorded by Academy of American Poets staff for Poem-a-Day, a series produced by the Academy of American Poets. Published on August 1, 2026. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.poets.org⁠

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

Recorded by Daniel Borzutzky for Poem-a-Day, a series produced by the Academy of American Poets. Published on July 24, 2026. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.poets.org⁠

Microsoft empieza a sustituir modelos de imagen de OpenAI por sus propios MAI para ganar velocidad y reducir costes. Black Forest Labs presenta FLUX 3, capaz de generar vídeo con sonido y aprender acciones físicas para robots. Un equipo de Texas A&M logra trasplantar en cerdos riñones conservados hasta 72 horas bajo cero sin formar hielo. Además, Bruselas multa a Google por favorecer sus servicios y limitar pagos alternativos, mientras Claude mejora su modo voz con Sonnet, Opus y acceso a apps conectadas.Puedes seguirnos en YouTube en https://youtube.com/olivernabani y puedes unirte al Discord Mashain en https://olivernabani.com/discord

This week is a truly madcap sniffathon HOPEFULLY encompassing [*takes adeep breath*] wild seascapes, fragrant ghosts and a notorious rake; a spicysummer scent to set your senses tingling; a fruity treat based on a perfumer'sfavourite breakfast; a splendiferous peacock strutting its scented stuff; a stunningsueded rose; perfumes pulled straight from the vegetable patch; Harrodsexclusives to swoon over; a seriously affordable new niche house; a mesmerisingmyrrh, and Alice du Parcq's book pre-order discount code…AND if all that wasn't enough, we're also answering a #listenerprescription for ajasmine fragrance to remind her of a dance while wearing jasmine garlands.Phew!Can we possibly fit it all in without going off-topic? Listen along and find out!BeauFort London continued: Following on from last week's fascinating interviewwith founder Leo Crabtree, Nicola tries a trio of intriguing scents:Cape Wrath‘Cape Wrath Eau De Parfum. Named after the rugged area of coastline on themost North Westerly tip of Britain, Cape Wrath pulls inspiration from this wild,treacherous seascape. The remote landmark - named after the old Norse wordfor ‘turning point' has for centuries been used by sailors to safely navigate thecoast of Britain, yet its treacherous waters have claimed countless vessels.Character: Powerful; wild; windswept

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 Jasmine and violet bloom with intensity.Base Notes: Leather, Sandalwood, Musk, Amber, Cedarwood 
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Opens with a sharp, gin-like freshness, spiced andeffervescent.Heart Notes: Cypress, Pine Needles, Castoreum, Labdanum, Cade Oil, Costus,Violet Orris
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There are tales of scented superstitions, and theliterary and historical figures who inspire perfume, plus the ways in which AI isimpacting the future of fragrance and a helpful guide on how to shop for perfumeand find The One(s!). It was so important to me that this book was not for perfume experts, but forfragrance lovers of all ages who want a moment of enchantment laced withinteresting facts, a sprinkle of science and some practical guidance when on theirnext scent shopping safari.'AKRO Heat‘HEAT is our addictive chili fragrance.Chili is not just a spice. It is a rush. A burn you think you can handle. The firsttime you smell it, it hits, it wakes you up. Then it warms you. Then you want itagain.The best chili doesn't just flavour. It ignites. It makes your skin tingle. Yourtemperature rise. Your pulse quicken. Your senses sharpen.HEAT is that moment when warmth turns into craving. When your body asks formore. A vibrant indulgence. A dopamine shot you keep coming back to.HEAT is a scent that sets you on fire and makes you love the burn.TOP: CORIANDER SEED, LEMON, RED CHILIMIDDLE: CARDAMOM, GINGER, JUNIPERBASE: CEDARWOOD, AMBROX, MUSK.'Jeroboam Oud MorningBy Vanina Muracciole‘Oud Morning from Jeroboam is the perfect balance of brightness and depth.Opening with an unexpected burst of blueberry, saffron and resins, thecomposition moves into a heart of Indian oud, softened with leather and agedwoods. Sandalwood, ambroxan and white musk anchor it into a smooth, sensualbase, finishing the creation on an intimate note.Top Notes: Blueberry, Gurjum Balsam, SaffronMiddle Notes: Indian Oudh, Leather, Dry Wood, VioletBase Notes: Sugar, Sandalwood, Cedarwood, White Musks.'Alexandre J Royal Peacock (Harrods Exclusive)‘At the turn of the 20th century, Art Nouveau reshaped the decorative arts.Mucha, Gallé, Tiffany, Lalique, all drew on nature to invent a new grammar ofcurves, stylised plants and extraordinary birds. Among them,the peacock reigned supreme: its iridescent eyes and regal bearing embodiedthe movement's core belief in beauty for beauty's sake.The opening evokes an Italian espresso served with Viennese pastry. Roastedcoffee dialogues with hazelnut in a frankly gourmand accord, before maplesyrup brings its unmistakable amber roundness, sweet without cloying, almostwoody. Caramel amplifies the indulgence, while violet casts a powdery floral veilthat keeps the composition from tipping into excess. The vanilla-almond basesettles into a lasting, addictive warmth.'Ormonde Jayne Suede Silhouette‘Bathed in crimson and violet, Suede Silhouette reflects the warmth of saffron,the richness of raspberry and the quiet confidence of suede. Exclusively atSelfridges.'Jo Malone London Veggies collection:Celine Roux says: ‘We just loved that people, even in the middle of cities likeLondon, can grow their own carrots and herbs – the fact that everyone wants tohave a grasp on nature from wherever they are. This [collection] takes that ideaof something homegrown and unmanicured but gives it a fresh take'Velvety Butternut:‘The path ahead is smooth, just like a velvety butternut playfully plucked from theveggie patch. Notes of smooth butternut, warm tonka bean and patchouli createa woody gourmand scent.Top - GingerSpicy and fresh with a zingy lemon quality, it opens the fragrance with livelybrightness.Heart - ButternutSmooth and nutty, notes of butternut imbues the fragrance with a deliciouswarmth and creaminess.Base - PatchouliGrounded in patchouli, a sensuously deep woody note that enhances thelongevity of the fragrance.'Carrot Blossom:‘Life is sweet, just like carrot blossom gloriously gathered from the veggie patch.Notes of subtly sweet carrot, orange flower and white musk create a fresh floralscent.Top - FennelHerbaceous with hints of aniseed, it adds a dewy sweetness to the top notes.Heart - Carrot BlossomLightly floral and sweet, with an earthy accent, complementing the powdery notesof orris.Base - PatchouliGrounded in patchouli, a sensuously deep woody note that enhances thelongevity of the fragrance.'Suzy's favourite: Scarlet Beetroot‘Colour is all around, just like a scarlet beetroot splendidly spied in the veggiepatch. Notes of beetroot, vibrant blackcurrant and a dash of...

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Aaron Neyer, founder of Parachute and community organizer in Boulder, about knowledge management, extended minds, and the intersection of AI with human consciousness. They explore how Parachute functions as a digital brain tool for organizing thoughts and information across fragmented systems, discuss the dangers of AI psychosis and over-reliance on technology, and debate open source AI development versus controlled releases by companies like Anthropic. The conversation weaves through topics including the limitations of metrics-driven business thinking, consciousness and relevance realization, the value of technological sabbaths, and Aaron's hope for locally-run open source models that protect personal data while still accessing more powerful gated models when needed. You can find Aaron's writing at unforced.org and unforced.substack.com, and learn more about Parachute at parachute.computer and parachute.computer/blog.Timestamps00:00 Stewart welcomes Aaron Neyer, founder of Parachute and Boulder community organizer, discussing the origin of Parachute's name from Frank Zappa's quote about open minds.05:00 Aaron explains Parachute as an extended mind tool for organizing notes, contacts and information across multiple platforms, emphasizing the distinction between primary mind and extended mind as interconnected systems.10:00 Discussion shifts to metrics-driven business culture and the limitations of pure rationality, exploring how Google's data-driven approach misses subjective experience and the whole picture of relationships.15:00 Aaron discusses AI's ability to help identify relevant variables across different domains and the dangers of AI psychosis, comparing it to cult dynamics and belief systems.20:00 The conversation covers AI sabbaths and nineties retreats as intentional breaks from technology, plus Aaron's experiences with electrical engineering and using AI to design circuits with Arduinos.25:00 Exploring forbidden knowledge and open source AI, Aaron discusses Anthropic's guardrails around powerful models while arguing for distributed access to prevent concentration of power.30:00 Deep dive into open source AI strategy, with Aaron highlighting NVIDIA's approach and the potential for running capable models locally while reserving ultra-intelligent models for complex research tasks.35:00 Aaron shares his vision for local Sonnet-class models handling personal data while accessing Fable-class models for deep research, and directs listeners to unforced.org and parachute.computer for his writing.Key Insights1. The philosophy behind Parachute stems from Frank Zappa's quote that the mind is like a parachute and doesn't work if it isn't open. Aaron Neyer explains that having an open mind is valuable, but it must be balanced with deep roots to avoid becoming untethered. He has experienced periods in his life where excessive openness led him to feel disconnected, teaching him that creativity and expansion need to be grounded in something substantial. This same principle applies to how we organize information digitally, where openness and interoperability allow our extended minds to become more connected and coherent, which in turn helps our primary minds think more clearly.2. Parachute is designed as an extended mind tool that addresses the fragmentation problem in how we currently manage information. Most people use multiple disconnected tools like Obsidian, Notion, Apple Notes, Google Keep, and various CRMs to organize their thoughts, notes, and relationships. These systems don't communicate well with each other, creating inefficiency and confusion. Parachute aims to create a simple, intuitive system where all this information can be organized in one place with true interoperability, allowing users to own their data and have it speak effectively with other tools, ultimately making our entire extended mind more functional.3. Understanding ourselves as unified body mind organisms rather than fragmented parts is essential for effectiveness. Living systems theory shows that any living system is three things: a membrane bound dissipative structure, a self regulating autopoietic network, and a cognitive process actively knowing the world. Western civilization since Descartes and Galileo has created artificial separation between body and mind, and between subjective and objective experience, which limits our effectiveness. The same fragmentation affects our digital technology, and recognizing both our biological and digital systems as coherent wholes rather than disconnected parts makes us vastly more capable.4. The relationship between data driven approaches and holistic thinking reveals important limitations in modern business and science. While working at Google, Aaron observed how data driven decision making can be powerful, but over reliance on metrics like ROI creates blindness to crucial unmeasurable factors like goodwill and relationship quality. This reflects a broader Western tendency to exclude subjective experience because it's difficult for objective science to measure. However, emotions, relationships, and other subjective elements are essential parts of reality, and focusing only on quantifiable metrics means missing the whole picture and ultimately becoming less effective despite appearing more rational.5. AI accelerates the ability to work with technical complexity by helping with relevance realization across domains where we lack expertise. In any specialized field, experts develop intuitive senses for which variables matter and can quickly identify problems, whether in computer troubleshooting, music, or cooking. AI's ability to generalize allows it to point people toward relevant solutions in areas where they haven't developed that intuitive expertise, effectively democratizing technical capability. This means people can direct their creativity more effectively across more domains, though it also raises concerns about giving powerful capabilities to those who may lack the wisdom to use them responsibly.6. The question of open source AI versus gated access involves complex tradeoffs between democratizing power and preventing harm. Aaron respects Anthropic's approach of creating guardrails around powerful models like Mythos, which would likely have caused significant system hacks if released without restrictions. However, this creates concerning power dynamics where only wealthy companies, governments, and their allies have access to the most powerful tools. NVIDIA offers hope through their truly open source approach including full training pipelines, and there may be a viable path where open source models at the Sonnet capability level handle most tasks locally while more powerful Fable class models remain gated for the most demanding work.7. Creating intentional breaks from AI and technology is essential for maintaining clear independent thinking. Aaron practices an AI Sabbath at least one day per week when he doesn't interact with AI, and he finds these are the days when he does his best thinking and journaling. Without these breaks, he finds himself constantly jumping between journaling and prompting AI rather than giving himself space for deep reflection. This pattern mirrors broader concerns about AI consistency creating cult like dynamics similar to organized religion, where constant immersion in a belief system or technology can lead to losing the ability to think independently, making periodic disconnection crucial for maintaining cognitive autonomy and clarity.

News and Updates: AI Glossary for Everyone: TechCrunch published a plain-English glossary defining essential AI terms like LLMs, tokens, hallucinations, agents, and RAMageddon, helping everyday readers keep pace with the industry's evolving vocabulary. Cyber Insurers Prioritize Speed: Insurers now evaluate how fast companies detect, patch, and recover from breaches rather than just static defenses, as AI shrinks the window between vulnerability discovery and exploitation. Big Tech Flips on AI Jobs: CEOs who once predicted massive AI-driven layoffs now emphasize job creation and productivity, with executives expecting significant headcount cuts dropping from 46% to 20%. Free AI Computing Credits War: OpenAI and Anthropic are showering startups with millions in free credits, letting some founders delay fundraising as model makers battle for future enterprise customers. Anthropic Fable Ban Lifted: The Trump administration reversed its weekslong export ban on Anthropic's Fable model, igniting fierce debate over how much the federal government should control frontier AI access. Claude Sonnet 5 Launches: Anthropic released Sonnet 5, a cheaper agentic model approaching Opus 4.8 performance with default cybersecurity safeguards, fewer hallucinations, and stronger resistance to prompt injection attacks.

Today's poem is Florida Doll Sonnet by Denise Duhamel and Maureen Seaton. Sharing poetry is a two-way street. So today, you'll be hearing a poem selected by one of our listeners. Today's selection was submitted by J.D. from Texas.The Slowdown is your daily poetry ritual. In this episode, J.D. reflects… “Today's poem is a cheeky tableau of a grocery store where we get to see what we present to the world, but also what the world presents to us.” This show is supported by gifts from listeners. Support The Slowdown with a donation and get access to the sponsor-free version of The Slowdown today. Slowdownshow.org/donate.If you'd like to participate in the next round of Community Selections, sign up for our newsletter. We'll be sending a special Slowdown postcard to new subscribers that sign up this week. Subscribe at slowdownshow.org/newsletter.

Anthropic had a really bad week.

Europe's AI position is being tested from every direction: Chinese open-weight models are gaining usage, Nvidia could become even more central to the stack and Europe still has gaps across power, chips, data centres and model capacity.In the latest episode of This Week in European Tech, Mads Jensen and Dan Bowyer of SuperSeed are joined by Lomax Ward of Outsized Ventures to discuss the AI power shift between China, the US and Europe.They also cover UK pension capital moving into venture, whether today's AI market looks like 1999, Anthropic and OpenAI's IPO pressure, model commoditisation and where Europe may still have an edge.HighlightsWhy China's AI model usage is becoming harder to ignoreWhat Chinese model restrictions could mean for EuropeEurope's AI infrastructure gap across power, chips, data centres and modelsWhether UK pension capital is finally moving into ventureWhy today's AI market both does and does not look like 1999Where Europe may still have a real opportunity in AI—————Love Tomorrow Summit - July 23, 2026, Tomorrowland, BelgiumThe Impact Circle Investor Lounge - July 24, 2026EUVC is curating the investment stage.Register here.—————Timestamps(01:45) Introduction(03:25) Quick news roundup(05:30) Tesla, SpaceX, Samsung and the week's market signals(08:00) The UK's fiscal outlook and the OBR warning(11:10) Government oversight of frontier AI releases(12:00) China's rise in AI model usage(14:30) Could Nvidia benefit if China restricts model access?(17:00) Europe's exposure across the AI infrastructure stack(19:15) OpenAI, Anthropic and the pressure to IPO(22:45) UK pension capital starts moving into venture(25:00) Why pension investment matters for the UK ecosystem(28:00) Where pension capital should be deployed(30:00) Incentives, coercion and the role of government(32:45) Is today's AI market another 1999?(40:30) The case against the dot-com comparison(46:30) AI Corner: Anthropic's Fable and Sonnet strategy(48:30) Lisbon's earthquake history and engineering response(54:15) Lisbon's tech ecosystem(56:30) Europe's opportunity, deals of the week and what to watch next

In this episode, Ray Cochrane breaks down AI distillation, the teacher-student technique frontier labs now lean on to train smaller, cheaper models. He also covers GPT-5.6’s government-vetted rollout, Claude Sonnet 5 landing on AWS, Maryland’s two-year data center pause, and Microsoft’s climbing carbon numbers. Finally, he wraps with Apple’s $30 billion Broadcom deal, Meta’s tamper-proof recording light, Michigan’s parasite outbreak, and a simulation that erased a super El Niño. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. Longer days have him outdoors, including a float trip on the Sandy River at Dabney State Park, where he found clearer water, clay-like sand, and easy footing. Next week brings both a move and a trip home, so he is stocking up on Trader Joe’s “Power Berries” and IKEA bags at his mom’s request. Then he turns to the lead story. AI Distillation Explained: How Frontier Models Teach Each Other Cochrane’s featured story comes from Hugging Face engineer Sergio Paniego. Distillation is teacher-student training for AI: a capable model generates the training signal, and a smaller student learns to match it. The classic off-policy version compresses giant models into cheap students, either through soft labels or piles of worked answers. Google’s Gemma models and DeepSeek’s R1-Distill line were built exactly this way. However, the industry is now converging on multi-teacher on-policy distillation, or MOPD. Labs build reinforcement-learning specialists for math, coding, and agentic work, then have them grade a single student, word by word, as the student generates its own answers. DeepSeek-V4, MiMo-V2-Flash, and NVIDIA’s Nemotron 3 Ultra all run versions of the recipe, and the Qwen3 team reported better results at roughly a tenth of the GPU hours of raw reinforcement learning. Finally, self-distillation lets models like Cursor’s Composer 2.5 learn from better-prompted versions of themselves. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. GPT-5.6 Arrives With a Government-Vetted Rollout OpenAI shipped GPT-5.6 as a three-tier family: Sol, Terra, and Luna. Sol costs five dollars in and thirty dollars out per million tokens, half of Claude Fable 5’s rate. The benchmarks split: Sol Ultra wins Terminal-Bench at 91.9 percent, while Claude Fable 5 still leads SWE-Bench Pro. Notably, the API launched in limited preview to roughly 20 partners vetted by the U.S. government, though the model went live in Microsoft 365 Copilot on day one. Claude Sonnet 5 Lands on AWS, Plus Quick AWS Wins Claude Sonnet 5 arrived on AWS through Bedrock, pitched as top-tier intelligence at Sonnet pricing. Additionally, Amazon WorkSpaces for AI agents reached general availability, enabling agents to drive full desktop applications securely. OpenSearch gained a log-analytics engine claiming four times the price-performance, and SageMaker now scales inference about twice as fast. Cochrane also flags that Kendra and Q Business move to maintenance mode at the end of July. Anthropic Wants You to Reflect on Your Claude Habits Anthropic launched Reflect, a beta feature that analyzes your past Claude conversations and visualizes how you actually use the assistant. It requires Memory, excludes incognito and health-related chats, and keeps its insights inside the tool. Cochrane loves the idea. He reviews his own transcripts to extract prompt patterns and turn them into reusable skills, and he suggests listeners simply ask their AI to do the same. AlphaEvolve Goes GA on Google Cloud Google made AlphaEvolve generally available to Google Cloud customers on the Gemini Enterprise Agent Platform. The agent acts as an evolutionary collaborator: provide a baseline algorithm and your goals, and it searches for better, human-readable code. BASF, JetBrains, and Kinaxis are the named early adopters. Meanwhile, Cochrane renews his standing wish that DeepMind release AlphaGo as a playable teacher. Google Adds “How This Ad Was Made” AI Labels Google is adding a “How this ad was made” section to My Ad Center across Search, YouTube, and Discover. Ads built with Google’s own AI tools automatically get the disclosure, backed by invisible watermarks. However, ads made with outside tools rely on advertiser self-declaration. Cochrane points out the limits of voluntary disclosure in an AI-flooded content economy. Microsoft’s Carbon Emissions Climb 25 Percent Microsoft’s new sustainability report shows emissions up 25% in 2025, driven by a data center construction spree. The gross figure is 34 million metric tons before offsets, while other coverage puts the net figure at around 20 million. Water consumption also jumped thirty-four percent, even as Microsoft claims its first water-positive year. Cochrane argues regulation needs to catch up, since Google and Amazon report similar increases. Prince George’s County Pauses Data Centers for Two Years Prince George’s County adopted a two-year moratorium on new data center development, the longest pause in Maryland so far. The resolution blocks new applications, including hyperscale projects, until the council passes real regulations. Water and energy impacts remain open questions the county intends to study. Cochrane gives kudos to residents for making their voices heard. Apple and Broadcom Ink a $30 Billion U.S. Chip Deal Apple is expanding its partnership with Broadcom with a multiyear agreement expected to exceed $30 billion. The deal covers custom silicon and wireless components, with more than fifteen billion chips to be made on American soil. Broadcom’s Fort Collins, Colorado plant anchors the work with a $1.5 billion equipment expansion. Tim Cook framed the deal as accelerating Apple’s commitment to American manufacturing. MSI and Intel Ship the First Arc G3 Extreme Handheld Intel detailed how it co-engineered the MSI Claw 8 EX AI+, the first handheld on the Arc G3 Extreme processor. Highlights include a heat-spreading board layout and game-tuning loops that Intel says run Cyberpunk 2077 up to thirty-seven percent faster. The device is on sale now in void purple for around $1,500. At that price, Cochrane jokes he would rather buy a computer. Meta’s Glasses Get a Tamper-Proof Recording Light Meta answered the most common privacy questions about its AI glasses. Photos stay private on the device until the wearer imports or shares them, and a white capture LED blinks during any recording with no off switch. Moreover, newer glasses disable the camera if the LED is blocked, tampered with, or destroyed. Cochrane reminds listeners these claims are Meta grading its own homework, but the blink signal is worth recognizing in public. Michigan’s Parasite Outbreak Tops 1,200 Cases Michigan’s cyclosporiasis outbreak reached 1,251 cases since June 22, with roughly forty hospitalizations along the way. Northwest Ohio adds more than five hundred cases. The parasite typically spreads through contaminated fresh produce, and investigators still have not found the source. Cochrane’s advice: wash your produce, and get tested if your symptoms fit. AI Finds the San Andreas Fault’s Silent Slips Researchers paired AI with borehole strainmeters to detect dozens of hidden slow-slip events beneath the San Andreas Fault’s Parkfield section. Each silent slip releases stress within hours and is reliably followed by low-frequency earthquakes. Together, the findings support a continuous spectrum from silent creep to destructive quakes. The study appears in Nature Communications, and Cochrane hopes it will lead to better earthquake prediction. Cloud Brightening Erased a Super El Niño, in a Simulation Finally, a Science Advances study simulated marine cloud brightening in response to the 1997 and 2015 super El Niño events. Seeding clouds over the eastern Pacific erased the events entirely inside the model. Real deployment would take roughly 2,400 ships spraying continuously, and the simulations showed side effects like extra warming over Europe and Asia. Cochrane finds the weather-machine concept fascinating, yet he questions the consequences of altering cycles the planet runs for a reason. The post AI Distillation: How Frontier Models Teach Each Other #1870 appeared first on Geek News Central.

Our 251st episode with a summary and discussion of last week's big AI news!Recorded on 07/01/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Anthropic redeploys Claude Fable 5 after talks with the US government, adding new cybersecurity classifiers, drafting a jailbreak-severity framework with major partners, and expanding model-testing coordination; broader concerns remain about the inevitability of jailbreaks and uneven release constraints versus OpenAI.Anthropic launches Claude Sonnet 5 with time-limited discounted pricing, improved agentic coding and benchmark performance, reduced misaligned behavior, and default cyber safeguards despite relatively weaker cybersecurity capability than top-tier models.New tools and apps include Google NotebookLM generating TikTok-style vertical video summaries of uploaded research and Google releasing Nano Banana 2 Lite, a faster, cheaper image generator available via API.Business and research updates span Etched's push toward full-stack inference hardware with major funding and contracts, Baidu's AI chip unit IPO ambitions, Agility Robotics' SPAC plan, DeepSeek's hiring expansion, and China's open-source Longcat 2.0 MoE model with notable large-scale training and efficiency techniques alongside new long-horizon agent benchmarks.Timestamps (note - these don't take into account dynamically inserted ads and therefore may be off by a couple of minutes):(00:00:10) Intro / Banter(00:02:07) News PreviewTools & Apps(00:02:32) Trump drops restrictions on Anthropic's Mythos and Fable models | TechCrunch(00:16:08) Anthropic launches Claude Sonnet 5 as a cheaper way to run agents | TechCrunch(00:20:35) Google's NotebookLM can sum up your research in a TikTok-style clip | The Verge(00:22:08) Google introduces a faster, cheaper image generator with Nano Banana 2 Lite | TechCrunchApplications & Business(00:22:50) Etched Pulls 400+ Engineers From NVIDIA, TSMC & More to Build a New Frontier Inference Cluster For AI Which Is Already Worth $1B in Demand(00:31:17) Baidu Rallies on AI Chip IPO Report(00:33:54) Agility Robotics plans to go public via SPAC in a $2.5B deal | TechCrunch(00:37:06) China's DeepSeek plans to at least double staff in all departments | ReutersProjects & Open Source(00:40:44) Introducing LongCat-2.0(00:57:42) OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks(01:01:33) TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents(01:04:29) SWE-Together: Evaluating Coding Agents in Interactive User SessionsPolicy & Safety(01:07:38) Taiwan raids Supermicro and two supply-chain partners in widening Nvidia smuggling probe — nine sites hit as six people summoned for questioning | Tom's HardwareResearch & Advancements(01:11:53) Autodata: An agentic data scientist to create high quality synthetic data(01:17:13) Reinforcement Learning without Ground-Truth Solutions can Improve LLMsSynthetic Media & Art(01:22:54) Neon Buys ‘Artificial,' a Film About OpenAI, After Amazon Dropped It - The New York Times(01:26:32) Tidal won't pay royalties on AI-generated music, but isn't banning it outright | The VergeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The transnational narco-terrorist networks that the 22nd Marine Expeditionary Unit spent ten months hunting across the Caribbean under Operation Southern Spear are not simply criminal organizations that happen to carry weapons, they are hierarchically sophisticated, psychologically coercive institutions that have evolved deliberate organizational cultures built around controlled violence, paranoid loyalty enforcement, and the systematic psychological conditioning of members at every level to normalize lethality as a routine instrument of business and territorial control. This episode applies a forensic psychology lens to what the scale and military character of the 22nd MEU's counter-narcotics deployment tells us about how far cartel organizations have traveled from street-level drug trafficking toward something that more closely resembles a paramilitary state, examining the leadership psychology, coercive control structures, and collective identity mechanisms that allow these networks to absorb law enforcement and military pressure, reconstitute themselves, and continue operating across international boundaries with a level of organizational resilience that conventional criminal justice frameworks were never designed to confront. Drawing on the operational realities exposed by Southern Spear, this episode asks what forensic psychology, organizational behavior science, and the emerging literature on narco-terrorism can tell us about why these organizations are so difficult to permanently dismantle and what it would actually take to break the psychological and social infrastructure that keeps them alive. IAB Tags: Health/Medical/Mental Health, Crime/True Crime, Military/Defense, Law/Government/Legal, Society/Issues, Education, News/Politics Let me know if you want a narco or covert operations version added to complete the full set.Sonnet 4.6 Low

Anthropic recently launched Claude Sonnet 5, a mid-tier artificial intelligence model that offers high-level agentic capabilities at a significantly lower cost than premium alternatives. This new release excels in reasoning and coding, nearly matching the performance of the company's flagship model, Opus, while maintaining a competitive pricing structure. Industry experts suggest this update marks a shift where autonomous task execution is becoming a standard feature rather than a luxury service. Additionally, the model introduces default security safeguards to prevent cyber-related misuse during complex workflows. While many praise the cost-to-capability ratio, some observers warn that the rapid commoditization of such powerful tools could challenge the long-term valuations of major AI developers.

In this episode, Ray Cochrane digs into Claude Science, Anthropic’s new AI workbench for researchers, and explains why its auditable, reproducible outputs matter more than the AI itself. He also covers Google’s June AI recap, the Pulpie web-cleaning model, the PamStealer Mac malware, a synthetic cell that divides on its own, and the first-ever treatment trial for the Bundibugyo strain of Ebola. Finally, he looks skyward with NASA’s year-long Mars simulation and a can’t-miss July skywatching night. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a quick personal update. He mentions a busy stretch at Blubrry and an upcoming local move, followed by a late-August trip to Michigan with his partner. He also notes that Oregon is at its summer best right now, with flowers everywhere. Then he sends a happy 30th birthday to his sister Anna before diving into the lead story. Claude Science: Anthropic’s AI Workbench for Researchers Cochrane leads with Claude Science, which Anthropic describes as an AI workbench for scientists. It pulls together scattered research tools into a single environment and ships with more than 60 skills and connectors for fields such as genomics and structural biology. According to Anthropic, every result carries an auditable history: the exact code, the computing environment, and a plain-language account of what happened. For Cochrane, reproducibility is the real story, not AI, because a result that nobody can reproduce does not count for much. The tool runs on macOS and Linux, with Windows support via WSL, and Cochrane says he already has it set up on his own machine for his machine learning work. Notably, it arrived during a busy week for Anthropic. The company also shipped an upgraded Sonnet 5, and its top-tier Fable 5 model returned after a brief pause tied to a US export-control order. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Google Recaps Its June AI Push Next, Cochrane runs through Google’s roundup of its June AI announcements. A Gemini-based prototype aims to help local councils clear administrative backlogs and halve the time to process planning applications. Google is also backing seven bipartisan bills against scams. Meanwhile, its research models now predict river floods up to seven days out, track wildfire boundaries, and forecast cyclone paths. Pulpie Cleans Up the Web for a Fraction of the Cost This one comes from Hugging Face. Pulpie is a web extractor that strips a page down to its main content and tosses the ads, headers, and sidebars. That matters because language models read the web twice, once in training and again at inference. According to the team, cleaning a billion pages costs about $7,900 with Pulpie versus roughly $159,000 with the leading tool, Dripper, and it is open for anyone to use. An AI Alexander Hamilton Comes to Boston The Museum of American Finance, a free Smithsonian affiliate, opens a new home on July 3 at Boston’s Commonwealth Pier. Its headline draw is an AI-generated Alexander Hamilton that chats with visitors in multiple languages. However, Cochrane finds it fun but wonders how much of an upgrade an AI kiosk really is over a scripted one. Arm’s June Roundup: Azure Silicon and Better Mobile Graphics From the Arm newsroom, Cochrane highlights Cobalt 200, Microsoft’s Azure processor tuned for agentic AI. Two Unreal Engine features, MegaLights and Nanite, are also coming to mobile to deliver richer lighting and detail. Additionally, a small open-source robot called Reachy Mini shows off on-device physical AI. Arm also continues shrinking large language models to fit on phones. Meta Marks Ten Years of Backing Python Meta just hit its tenth straight year sponsoring the Python Software Foundation. The nonprofit keeps the language healthy and its global community funded. Beyond funding, Meta supports the developer-in-residence program, PyPI security, and open-source tools like the Pyrefly type checker. Cochrane urges listeners to push their own companies to sponsor the open-source projects they rely on. PamStealer: Mac Malware That Verifies Your Password First Ars Technica reported a stealthy new macOS infostealer called PamStealer. It shows a fake password prompt, then validates the entry through Apple’s own PAM system, so it only keeps confirmed correct passwords. The malware spreads via a fake disk image that poses as Maccy, a legitimate clipboard manager. Cochrane’s advice is simple: only download from maccy.app, and never run a script or press Command-R just because an app told you to. Apple Creator Studio Gets a Suite-Wide AI Update Apple rolled out AI features across its Creator Studio apps. Final Cut Pro leads with auto-generated captions, edit detection, and an auto-mask tool. Meanwhile, Pixelmator adds Match Color, and Logic Pro gains chord identification plus a full teaching session behind a real track. Cochrane calls that built-in lesson a nice leg up for anyone learning to produce music. New York’s Heat Wave Sparks a Thermostat Fight From Inside Climate News, Cochrane covers the backlash after New York Mayor Zohran Mamdani urged residents to set thermostats to 78 degrees. That advice matched what Con Edison, the state’s largest utility, was already saying. Cochrane sets the politics aside and focuses on the real goal: keeping the grid from buckling during a brutal heat wave. A Synthetic Cell Grows and Divides on Its Own Quanta Magazine reports a major breakthrough. Researchers built a cell from nonliving parts, and for the first time it grew, copied its DNA, and split into two daughter cells. That dividing step had stalled the field for years. Cochrane credits Kate Adamala and her team at the University of Minnesota, who cracked it with a clever membrane trick. First Treatment Trial Begins for the Bundibugyo Ebola Strain The World Health Organization launched the first-ever treatment trial for Bundibugyo, a distinct Ebola strain, amid a serious outbreak in the Democratic Republic of Congo. It is the largest Bundibugyo outbreak on record, with about 1,400 cases and 438 deaths, and Uganda is now seeing cases too. The trial tests an antibody cocktail and the antiviral remdesivir. Cochrane also notes the WHO declared the recent shipboard hantavirus outbreak over. An Orbital Sunrise From the Space Station NASA astronaut Chris Williams photographed a stunning sunrise from the International Space Station on June 26. Because the station circles Earth so quickly, the crew sees sixteen sunrises and sixteen sunsets every single day. Cochrane points listeners to the full image on nasa.gov. NASA Seeks Volunteers for a Year-Long Mars Simulation Scientific American reports that NASA is recruiting for its next Moon and Mars Exploration Analog. Volunteers will live inside a habitat for a full year, facing the isolation and resource limits of a real mission. It begins no earlier than August 2027 at Johnson Space Center. Cochrane admits it is not for him, but calls it an amazing opportunity. NASA’s July Skywatching Guide Finally, Cochrane looks up. On July 11 and 12, a crescent Moon lines up with Mars, Saturn, and Uranus before dawn. Then July 14 brings a new Moon, a great window for the returning Comet 10P/Tempel 2, and prime Milky Way viewing. Saturn’s thin ring angle is a bonus through a telescope. Cochrane wraps with the usual housekeeping and a reminder that every GoDaddy click supports the show. As always, he signs off wishing listeners a great night. The post Claude Science: AI Workbench for Scientists #1868 appeared first on Geek News Central.

Fable 5 is out, but it'll be gone (again) before you know it. While Anthropic's powerful Mythos 5 is out for the masses for another 5 days, it might be their Sonnet 5 model that's your next daily driver. Even better news? If you're an iPhone user, your OpenClaw and Cursor accounts are gonna get a lot more use. Yeah, it's a short Holiday week in the U.S., but the AI companies didn't stop shipping. From new models to new ways to work, these are 7 new AI features available now that you should be using. Fable 5 and Sonnet 5 Released, OpenClaw on Your iPhone, NotebookLM's New Video Format and 7 More AI Features You Need NowNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Sonnet 5 Model OverviewSonnet 5 vs Opus 4.8 PerformanceAnthropic Model Naming Confusion ExplainedSonnet 5 Pricing and API Cost AnalysisSonnet 5 Use Cases for Daily WorkNotebookLM 60-Second AI Video GenerationNotebookLM Cinematic Video Format ReviewChatGPT Finance Feature: Plaid IntegrationChatGPT Finance Rollout and Security DetailsTwitter/X MCP Model Context Protocol LaunchMCP API Access for AI Agents ExplainedOpenClaw iOS and Android App LaunchOpenClaw Mobile Bridge Setup and UsageCursor iOS App for AI Code AgentsCursor Cloud Agents and Mobile NotificationsAnthropic Fable 5 Limited-Time AvailabilityFable 5 Cost Structure and GuardrailsAnthropic Frontier Models and US RegulationsTimestamps:00:00 Recent AI developments and updates05:54 API pricing and usage strategies07:19 Choosing the right AI model11:17 Notebook LM paid user rollout16:17 ChatGPT's new personal finance tool17:35 Integrating ChatGPT with Plaid for Finance21:35 Streamlining MCP setup for developers24:40 Introducing the OpenClaw monitoring app29:33 Talking about upcoming super apps32:03 Fable 5 availability announcement34:43 Building projects with Fable 5Keywords: Anthropic, Fable 5, Sonnet 5, Opus 4.8, Haiku 4.5, Mythos 5, Large Language Models, AI model naming, AI benchmarks, agentic models, adaptive thinking, 1 million context window, token output, AI hallucination rates, Anthropic subscription plan, AI API pricing, AI free plans, ChatGPT Finance, Plaid integration, finance AI assistant, OpenAI personal finance, financial data privacy, iOS AI apps, Android AI apps, OpenClaw, open source AI agent, AI mobile companion app, NotebookLM, AI video generation, vertical video, cinematic video, Gemini paid users, educational AI videos, doom scrolling video format, AI-powered coding agents, Cursor, cloud AI agents, remote desktop AI, iOS live activities, PR merge on mobile, X API, Twitter MCP server, social listening AI, developer AI tools, AI super app, project Glasswing, US AI export controls, government AI regulation, classifier guardrails, secure AI data, AI for marketers, subscription replacements, Codex, Claude cowork, Claude code, Codex remote control, always-on AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

In this Marketing Over Coffee: Learn why this is the end of the listicle, Fable is back, tire inflators win, and more!! Direct Link to File #3 in Malawi New Claude – Fable is back! Opus 4.8, Haiku 4.5, Sonnet 5 Using Gemma 4 for deep research to save on tokens The World Cup’s Great […] The post GEO Kills the Listicle appeared first on Marketing Over Coffee Marketing Podcast.

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Anthropic said Commerce lifted export controls on Fable 5 and Mythos 5, restoring access Wednesday, and launched Sonnet 5. Sony is ending PlayStation game discs in 2028, a 140-company group unveiled Open USD, and Meta's building a cloud business. Anthropic says the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5 and that it will begin restoring access Wednesday (X) Anthropic says the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5 and that it will begin restoring access Wednesday (BleepingComputer) Anthropic launches Claude Sonnet 5, saying it nears Opus 4.8 performance at lower prices and is substantially better than Sonnet 4.6 for agentic work (Anthropic) Anthropic launches Claude Sonnet 5, saying it nears Opus 4.8 performance at lower prices and is substantially better than Sonnet 4.6 for agentic work (The New Stack) Sony says all new PlayStation games from both first- and third-party developers will be sold in digital formats from January 2028, ending physical game discs (Game File) Visa, Mastercard, Stripe, BlackRock, Coinbase, and 140+ companies join Open Standard to launch Open USD, a stablecoin that shares earnings from its reserves (The Block) Sources: Meta is developing plans for a cloud infrastructure business that will sell access to AI computing power and models, to compete with AWS and Azure (Bloomberg) SpaceX cuts monthly Starlink prices in half in the Memphis area, as it endures blowback and legal challenges from opponents of its Colossus data centers (Bloomberg) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

Windows 10's Extended Security Update program quietly gets extended for another year for consumers. Microsoft reportedly kills Surface Go products & is now selling 8 GB Surface Pro & Laptop models. And Xbox Series X & S prices are going to go up again. Windows Microsoft quietly extends the Windows 10 Extended Security Update program one year to October 2027 for consumers Windows Insider Windows Update is transitioning to the new Windows Insider experience by default Plus, five new builds across Beta, Experimental, Beta (26H1), Experimental (26H1), and Experimental (Future Platforms) — new Taskbar size setting is the much-needed new feature Hardware Apple raises prices on Macs, iPads, and more, easing pressure on PC makers Microsoft quietly begins selling 8 GB Surface Pro/Laptop models Microsoft reportedly kills Surface Go products right when we need them the most The ASUS Zenbook A16 is nearly perfect, but it's unclear what you get with an X2 Elite Extreme chip AI HP partners with OpenAI for its agentic makeover Anthropic seizes on the "good enough" AI movement with Sonnet 5 Proton Lumo 2.0 is here Gemini personalized image creator is available for free in the US Notion blames agentic AI for it killing Notion Mail Xbox and Gaming The 2026 Doom and Gloom Watch Xbox Series X|S prices to go up again, by $150, on August 1 - and the 2 TB X is going away Undead Labs and Arkane Lyon possible victims of pending closures Latest rumor: Microsoft to layoff 2.5 percent of workforce next week - that's 5,500 people, less than expected, but that's because of the earlier voluntary buyouts, which apparently met internal expectations Minecraft Bedrock edition gets closed captions Sony will stop selling PS physical media in 2028 Tips and Picks Tip of the week: Help or get out of the way People who just complain aren't solving problems, they're just making noise and distracting us from the real problems. App Pick of the Week: Snapdragon Control Panel If you have a Windows 11 on Arm PC on Snapdragon X or X2, you need this app to make games run as well as possible. Plus - Settings > System > Display > Graphics for Auto SR and other settings and whatever is in each game RunAs Radio this week: AI-Accelerated Supply Chain Attacks with Mackenzie Duncan Brown liquor pick of the week: Rupert's Exceptional Canadian Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT zscaler.com/security cohesity.com/Resilience

In this episode, the mates discuss the Sonnet 5 drop, China's cheaper humanoid robot, Fable 5 coming back online, and Starcloud CEO Philip Johnston joins to discuss data centers.  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Philip Johnston is the CEO of Starcloud  Salim Ismail is the founder of Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: https://www.fountainlife.com/peter  _ Connect with Philip X Linkedin Website Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Apply for Salim's Pilot Program  Subscribe to Salim's YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on June 30th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Windows 10's Extended Security Update program quietly gets extended for another year for consumers. Microsoft reportedly kills Surface Go products & is now selling 8 GB Surface Pro & Laptop models. And Xbox Series X & S prices are going to go up again. Windows Microsoft quietly extends the Windows 10 Extended Security Update program one year to October 2027 for consumers Windows Insider Windows Update is transitioning to the new Windows Insider experience by default Plus, five new builds across Beta, Experimental, Beta (26H1), Experimental (26H1), and Experimental (Future Platforms) — new Taskbar size setting is the much-needed new feature Hardware Apple raises prices on Macs, iPads, and more, easing pressure on PC makers Microsoft quietly begins selling 8 GB Surface Pro/Laptop models Microsoft reportedly kills Surface Go products right when we need them the most The ASUS Zenbook A16 is nearly perfect, but it's unclear what you get with an X2 Elite Extreme chip AI HP partners with OpenAI for its agentic makeover Anthropic seizes on the "good enough" AI movement with Sonnet 5 Proton Lumo 2.0 is here Gemini personalized image creator is available for free in the US Notion blames agentic AI for it killing Notion Mail Xbox and Gaming The 2026 Doom and Gloom Watch Xbox Series X|S prices to go up again, by $150, on August 1 - and the 2 TB X is going away Undead Labs and Arkane Lyon possible victims of pending closures Latest rumor: Microsoft to layoff 2.5 percent of workforce next week - that's 5,500 people, less than expected, but that's because of the earlier voluntary buyouts, which apparently met internal expectations Minecraft Bedrock edition gets closed captions Sony will stop selling PS physical media in 2028 Tips and Picks Tip of the week: Help or get out of the way People who just complain aren't solving problems, they're just making noise and distracting us from the real problems. App Pick of the Week: Snapdragon Control Panel If you have a Windows 11 on Arm PC on Snapdragon X or X2, you need this app to make games run as well as possible. Plus - Settings > System > Display > Graphics for Auto SR and other settings and whatever is in each game RunAs Radio this week: AI-Accelerated Supply Chain Attacks with Mackenzie Duncan Brown liquor pick of the week: Rupert's Exceptional Canadian Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT zscaler.com/security cohesity.com/Resilience

Claude Sonnet 5 just launched and Fable 5 is returning. But OpenAI's GPT-5.6 Sol is still locked down and the government's grip on the most powerful AI models throws it all into chaos.. We dig into what Sonnet 5 can actually do, why GPT-5.6 Sol is still gated, and the breaking news that Fable 5 is expected back, plus a huge creative MCP festival with the Blender to Seedance workflow. This week on AI For Humans, Gavin Purcell and Kevin Pereira open on a strange new reality: the best AI models keep launching and then getting locked up, but this week the gate started to crack. Anthropic just shipped Claude Sonnet 5, its most agentic Sonnet yet, landing near Opus 4.8 performance at a much lower price, Meanwhile OpenAI announced GPT-5.6 Sol, Terra, and Luna, but at the US government's request the flagship is only available to a small list of vetted partners.  Then the story moved while we were recording: the government cleared Anthropic to restore Mythos 5 to critical-infrastructure organizations, and Fable 5 is now reported to be on track to return for general use (timing and terms still unconfirmed). We recorded two quick in-episode updates to keep pace with the news as it broke.  AND Meta's Brain2Qwerty mind-reading research, NanoBanana 2 Lite, and a full creative MCP festival built around the Blender to Seedance video workflow, ComfyUI's MCP integration, and Gavin's own microdrama experiment. THE AI FRONTIER IS HERE. WAIT, NOW IT'S NOT. OH, WAIT. IT IS! // Show Links // Anthropic introduces Claude Sonnet 5, its most agentic Sonnet yet (official) https://www.anthropic.com/news/claude-sonnet-5 Anthropic's launch post for Sonnet 5 https://x.com/claudeai/status/2072017450611142835 BREAKING: Anthropic's official post on restoring Mythos 5 and working to bring Fable 5 back https://www.anthropic.com/news/redeploying-fable-5 OpenAI previews GPT-5.6 Sol, Terra, and Luna in a limited government-approved preview (official) https://openai.com/index/previewing-gpt-5-6-sol/ Sam Altman on why the GPT-5.6 rollout is government-restricted https://x.com/sama/status/2070607488274358364 Meta's Brain2Qwerty research on decoding typed text from brain activity https://facebookresearch.github.io/brain2qwerty/ NanoBanana 2 Lite is out https://x.com/NanoBanana/status/2071988792970330186 Logan Kilpatrick on the fast-and-cheap tradeoff https://x.com/OfficialLoganK/status/2071988351083921690 The Blender to Seedance workflow (reid hannaford, who helped popularize it) https://x.com/reidhannaford/status/2070145120658137385 More Blender x Seedance examples https://x.com/koldo2k/status/2071307945002815967 Even more Blender x Seedance examples https://x.com/Flagiuss/status/2071335816190902624 A further Blender x Seedance example https://x.com/reidhannaford/status/2071595581508563168 ComfyUI announces full MCP integration https://x.com/ComfyUI/status/2071625866912944151 X launches an MCP, though the API is very expensive to use https://x.com/XDevelopers/status/2071752389183647758 Gavin's microdrama experiment https://x.com/gavinpurcell/status/2070937492858208540   Join our Discord https://discord.gg/muD2TYgC8f Support us on Patreon https://www.patreon.com/AIForHumansShow Subscribe to the AI For Humans Newsletter https://aiforhumans.beehiiv.com/ Follow us on X @AIForHumansShow https://x.com/AIForHumansShow Find us on TikTok @aiforhumansshow https://www.tiktok.com/@aiforhumansshow Book us for speaking or consultation https://www.aiforhumans.show/  

Windows 10's Extended Security Update program quietly gets extended for another year for consumers. Microsoft reportedly kills Surface Go products & is now selling 8 GB Surface Pro & Laptop models. And Xbox Series X & S prices are going to go up again. Windows Microsoft quietly extends the Windows 10 Extended Security Update program one year to October 2027 for consumers Windows Insider Windows Update is transitioning to the new Windows Insider experience by default Plus, five new builds across Beta, Experimental, Beta (26H1), Experimental (26H1), and Experimental (Future Platforms) — new Taskbar size setting is the much-needed new feature Hardware Apple raises prices on Macs, iPads, and more, easing pressure on PC makers Microsoft quietly begins selling 8 GB Surface Pro/Laptop models Microsoft reportedly kills Surface Go products right when we need them the most The ASUS Zenbook A16 is nearly perfect, but it's unclear what you get with an X2 Elite Extreme chip AI HP partners with OpenAI for its agentic makeover Anthropic seizes on the "good enough" AI movement with Sonnet 5 Proton Lumo 2.0 is here Gemini personalized image creator is available for free in the US Notion blames agentic AI for it killing Notion Mail Xbox and Gaming The 2026 Doom and Gloom Watch Xbox Series X|S prices to go up again, by $150, on August 1 - and the 2 TB X is going away Undead Labs and Arkane Lyon possible victims of pending closures Latest rumor: Microsoft to layoff 2.5 percent of workforce next week - that's 5,500 people, less than expected, but that's because of the earlier voluntary buyouts, which apparently met internal expectations Minecraft Bedrock edition gets closed captions Sony will stop selling PS physical media in 2028 Tips and Picks Tip of the week: Help or get out of the way People who just complain aren't solving problems, they're just making noise and distracting us from the real problems. App Pick of the Week: Snapdragon Control Panel If you have a Windows 11 on Arm PC on Snapdragon X or X2, you need this app to make games run as well as possible. Plus - Settings > System > Display > Graphics for Auto SR and other settings and whatever is in each game RunAs Radio this week: AI-Accelerated Supply Chain Attacks with Mackenzie Duncan Brown liquor pick of the week: Rupert's Exceptional Canadian Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT zscaler.com/security cohesity.com/Resilience

Windows 10's Extended Security Update program quietly gets extended for another year for consumers. Microsoft reportedly kills Surface Go products & is now selling 8 GB Surface Pro & Laptop models. And Xbox Series X & S prices are going to go up again. Windows Microsoft quietly extends the Windows 10 Extended Security Update program one year to October 2027 for consumers Windows Insider Windows Update is transitioning to the new Windows Insider experience by default Plus, five new builds across Beta, Experimental, Beta (26H1), Experimental (26H1), and Experimental (Future Platforms) — new Taskbar size setting is the much-needed new feature Hardware Apple raises prices on Macs, iPads, and more, easing pressure on PC makers Microsoft quietly begins selling 8 GB Surface Pro/Laptop models Microsoft reportedly kills Surface Go products right when we need them the most The ASUS Zenbook A16 is nearly perfect, but it's unclear what you get with an X2 Elite Extreme chip AI HP partners with OpenAI for its agentic makeover Anthropic seizes on the "good enough" AI movement with Sonnet 5 Proton Lumo 2.0 is here Gemini personalized image creator is available for free in the US Notion blames agentic AI for it killing Notion Mail Xbox and Gaming The 2026 Doom and Gloom Watch Xbox Series X|S prices to go up again, by $150, on August 1 - and the 2 TB X is going away Undead Labs and Arkane Lyon possible victims of pending closures Latest rumor: Microsoft to layoff 2.5 percent of workforce next week - that's 5,500 people, less than expected, but that's because of the earlier voluntary buyouts, which apparently met internal expectations Minecraft Bedrock edition gets closed captions Sony will stop selling PS physical media in 2028 Tips and Picks Tip of the week: Help or get out of the way People who just complain aren't solving problems, they're just making noise and distracting us from the real problems. App Pick of the Week: Snapdragon Control Panel If you have a Windows 11 on Arm PC on Snapdragon X or X2, you need this app to make games run as well as possible. Plus - Settings > System > Display > Graphics for Auto SR and other settings and whatever is in each game RunAs Radio this week: AI-Accelerated Supply Chain Attacks with Mackenzie Duncan Brown liquor pick of the week: Rupert's Exceptional Canadian Whisky Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT zscaler.com/security cohesity.com/Resilience

If you've ever stared at a model picker and wondered whether to click Flash, Sonnet, Opus, Instant, or Think Deeper, you are not alone. These naming conventions are genuinely confusing, and most people just pick something and hope it works. The stakes are higher than they might seem, though. Token misuse has left some companies with eye-watering AI bills, including one case where a single employee ran up a $500,000 tab in a month. The good news is that there is a simple mental model that cuts through all the noise, and once you have it, choosing the right model for any task takes seconds. In this How I AI episode, Neo and I walk through the four major AI platforms, Gemini, ChatGPT, Claude, and Copilot, and break down exactly which model to use and when. We also get into tokens, usage limits, and why matching the model to the task matters far more than most people realise. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: Why ignoring model numbers and reading the small print instead saves a lot of confusion What Fable and Mythos are, and why you can't use them right now How token usage works and why the right model choice protects your access Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Today's poem, probably Neruda's best-known (tr. Stephen Mitchell), goes out to all the June brides. Happy reading. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit dailypoempod.substack.com/subscribe

The crew breaks down the SpaceX IPO's crypto-like low float dynamics and Hyperliquid's price prediction, debates accredited investor laws and failed tokenized stock allocations, dives into Fable 5's export control shutdown after Amazon flagged a jailbreak to the Treasury Secretary, and argues whether open source AI models will eat frontier pricing. Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. Robert is back after a brief hiatus recording his own podcast, The Pop, for Superstate — and the crew wastes no time roasting him for it before diving into the biggest week of news in recent memory. First up: the SpaceX IPO, the largest in history, and why it looks eerily like a crypto token launch — 4.2% float, retail getting cut out, and Hyperliquid perps predicting the first-day pop almost to the dollar. The crew debates TradeXYZ's winner-take-all dominance of HIP3 and why building on top of Hyperliquid might be a terrible startup environment. Then they unpack Elon's financial engineering genius — the Cursor acquisition as all-stock crypto playbook, XAI's pivot from failed AI lab to compute reseller, and why Grok is (unanimously) an embarrassing piece of shit. The conversation shifts to accredited investor laws, SPV dentists, and why every crypto platform failed to deliver SpaceX IPO allocations. From there, Coinbase's massive system update — tokenized stocks, an SEC-registered AI chatbot, combos, and 15-minute markets. Then things get spicy: Robert asks Claude about SBF on air, Sonnet gets it hilariously wrong, and everyone roasts him for not using Opus. The back half is all about Fable 5 — Amazon's jailbreak discovery, Andy Jassy calling Dario (who didn't pick up), and the export controls that shut down the most powerful commercial AI model ever released. Robert drops his most surprising take: "I am EAC, but this is a dry run of pressing the pause button." The episode closes with a heated debate on whether Chinese open source models will eat frontier AI pricing and a bet that may or may not have been agreed upon.  Listen to the episode on Apple Podcasts, Spotify, Pods, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform. Show highlights

Anthropic's new Claude Fable 5 is both the best model in the world and potentially one of the most dangerous.