Podcasts about Codex

In this rapid-fire "Product Showdown," we test drive the two hottest coding models on the planet: OpenAI's GPT-5.3 Codex and Anthropic's Claude Opus 4.6.Are they direct competitors, or do they serve completely different masters? We break down the strengths of each: Codex for "execution" and Opus for "reasoning." If you are a developer trying to decide which subscription to keep, this 2-minute breakdown is for you.Key Takeaways:GPT-5.3 Codex: Best for fast iteration, terminal workflows, and shipping code quickly.Claude Opus 4.6: Best for deep reasoning, long-context architecture, and complex problem-solving.The Verdict: Stop looking for a winner. Use Codex for doing and Opus for thinking.Keywords: GPT-5.3 Codex, Claude Opus 4.6, AI Coding Benchmarks, Dev Tools, Agentic Workflows, OpenAI vs Anthropic

Join Simtheory: https://simtheory.aiRegister for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80GLM-5 just dropped and it's trained entirely on Huawei chips – zero US hardware dependency. Meanwhile, we're having existential crises about whether we're even needed anymore. In this episode, we break down China's new frontier model that's competing with Opus 4.6 and Codex at a fraction of the price, why agentic loops are making 200K context windows the sweet spot (sorry, million-token dreams), and the very real phenomenon of AI productivity psychosis. We dive into why coding-optimized models are secretly winning at everything, the Harvard study confirming AI doesn't reduce work – it intensifies it, and the exodus of safety researchers from XAI, Anthropic, and OpenAI (spoiler: they're not giving back their shares). Plus: Mike's arm is failing from too much mouse usage, we debate whether the chatbot era is actually fading, and yes – there's a safety researcher diss track called "Is This The End?"CHAPTERS:0:00 Intro - Is This The End? (Song Preview)0:11 Still Relevant Tour Update & NASA Listener Callout1:42 AI Productivity Psychosis: The Pressure of Infinite Capability4:25 GLM-5 Breakdown: China's New Frontier Model on Huawei Chips7:24 First Impressions: GLM-5 in Agentic Loops9:48 Why Cheap Models Matter & The New Model War14:09 Codex Vibe Shift: Is OpenAI Winning?16:24 Does Context Window Size Even Matter Anymore?22:27 The Parallelization Problem & Cognitive Overload27:27 Mike's Arm Injury & The Voice Input Pivot31:17 Single-Threaded Work & The 95% Problem35:06 UX is Unsolved: Rolling Back Agentic Mistakes38:45 Harvard Study: AI Doesn't Reduce Work, It Intensifies It44:01 How AI Erodes Company Structure & Why Adoption Takes Years50:14 My AI vs Your AI: Household Debates50:43 The Safety Researcher Exodus: XAI, Anthropic, OpenAI56:49 Final Thoughts: Are We All Still Relevant?59:04 BONUS: Full "Is This The End?" Diss TrackThanks for listening. Like & Sub. Links above for the Still Relevant Tour signup and Simtheory. GLM-5 is here, your productivity psychosis is valid, and the safety researchers are becoming poets. xoxo

Hey dear subscriber, Alex here from W&B, let me catch you up! This week started with Anthropic releasing /fast mode for Opus 4.6, continued with ByteDance reality-shattering video model called SeeDance 2.0, and then the open weights folks pulled up! Z.ai releasing GLM-5, a 744B top ranking coder beast, and then today MiniMax dropping a heavily RL'd MiniMax M2.5, showing 80.2% on SWE-bench, nearly beating Opus 4.6! I've interviewed Lou from Z.AI and Olive from MiniMax on the show today back to back btw, very interesting conversations, starting after TL;DR!So while the OpenSource models were catching up to frontier, OpenAI and Google both dropped breaking news (again, during the show), with Gemini 3 Deep Think shattering the ArcAGI 2 (84.6%) and Humanity's Last Exam (48% w/o tools)... Just an absolute beast of a model update, and OpenAI launched their Cerebras collaboration, with GPT 5.3 Codex Spark, supposedly running at over 1000 tokens per second (but not as smart) Also, crazy week for us at W&B as we scrambled to host GLM-5 at day of release, and are working on dropping Kimi K2.5 and MiniMax both on our inference service! As always, all show notes in the end, let's DIVE IN! ThursdAI - AI is speeding up, don't get left behind! Sub and I'll keep you up to date with a weekly catch upOpen Source LLMsZ.ai launches GLM-5 - #1 open-weights coder with 744B parameters (X, HF, W&B inference)The breakaway open-source model of the week is undeniably GLM-5 from Z.ai (formerly known to many of us as Zhipu AI). We were honored to have Lou, the Head of DevRel at Z.ai, join us live on the show at 1:00 AM Shanghai time to break down this monster of a release.GLM-5 is massive, not something you run at home (hey, that's what W&B inference is for!) but it's absolutely a model that's worth thinking about if your company has on prem requirements and can't share code with OpenAI or Anthropic. They jumped from 355B in GLM4.5 and expanded their pre-training data to a whopping 28.5T tokens to get these results. But Lou explained that it's not only about data, they adopted DeepSeeks sparse attention (DSA) to help preserve deep reasoning over long contexts (this one has 200K)Lou summed up the generational leap from version 4.5 to 5 perfectly in four words: “Bigger, faster, better, and cheaper.” I dunno about faster, this may be one of those models that you hand off more difficult tasks to, but definitely cheaper, with $1 input/$3.20 output per 1M tokens on W&B! While the evaluations are ongoing, the one interesting tid-bit from Artificial Analysis was, this model scores the lowest on their hallucination rate bench! Think about this for a second, this model is neck-in-neck with Opus 4.5, and if Anthropic didn't release Opus 4.6 just last week, this would be an open weights model that rivals Opus! One of the best models the western foundational labs with all their investments has out there. Absolutely insane times. MiniMax drops M2.5 - 80.2% on SWE-bench verified with just 10B active parameters (X, Blog)Just as we wrapped up our conversation with Lou, MiniMax dropped their release (though not weights yet, we're waiting ⏰) and then Olive Song, a senior RL researcher on the team, joined the pod, and she was an absolute wealth of knowledge! Olive shared that they achieved an unbelievable 80.2% on SWE-Bench Verified. Digest this for a second: a 10B active parameter open-source model is directly trading blows with Claude Opus 4.6 (80.8%) on the one of the hardest real-world software engineering benchmark we currently have. While being alex checks notes ... 20X cheaper and much faster to run? Apparently their fast version gets up to 100 tokens/s. Olive shared the “not so secret” sauce behind this punch-above-its-weight performance. The massive leap in intelligence comes entirely from their highly decoupled Reinforcement Learning framework called “Forge.” They heavily optimized not just for correct answers, but for the end-to-end time of task performing. In the era of bloated reasoning models that spit out ten thousand “thinking” tokens before writing a line of code, MiniMax trained their model across thousands of diverse environments to use fewer tools, think more efficiently, and execute plans faster. As Olive noted, less time waiting and fewer tools called means less money spent by the user. (as confirmed by @swyx at the Windsurf leaderboard, developers often prefer fast but good enough models) I really enjoyed the interview with Olive, really recommend you listen to the whole conversation starting at 00:26:15. Kudos MiniMax on the release (and I'll keep you updated when we add this model to our inference service) Big Labs and breaking newsThere's a reason the show is called ThursdAI, and today this reason is more clear than ever, AI biggest updates happen on a Thursday, often live during the show. This happened 2 times last week and 3 times today, first with MiniMax and then with both Google and OpenAI! Google previews Gemini 3 Deep Think, top reasoning intelligence SOTA Arc AGI 2 at 84% & SOTA HLE 48.4% (X , Blog)I literally went

Sherwin Wu leads engineering for OpenAI's API platform, where roughly 95% of engineers use Codex, often working with fleets of 10 to 20 parallel AI agents.We discuss:1. What OpenAI did to cut code review times from 10-15 minutes to 2-3 minutes2. How AI is changing the role of managers3. Why the productivity gap between AI power users and everyone else is widening4. Why “models will eat your scaffolding for breakfast”5. Why the next 12 to 24 months are a rare window where engineers can leap ahead before the role fully transforms—Brought to you by:DX—The developer intelligence platform designed by leading researchersSentry—Code breaks, fix it fasterDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Episode transcript: https://www.lennysnewsletter.com/p/engineers-are-becoming-sorcerers—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Sherwin Wu:• X: https://x.com/sherwinwu• LinkedIn: https://www.linkedin.com/in/sherwinwu1—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Sherwin Wu(03:10) AI's role in coding at OpenAI(06:53) The future of software engineering with AI(12:26) The stress of managing agents(15:07) Codex and code review automation(19:29) The changing role of engineering managers(24:14) The one-person billion-dollar startup(31:40) Management lessons(37:28) Challenges and best practices in AI deployment(43:56) Hot takes on AI and customer feedback(48:57) Building for future AI capabilities(50:16) Where models are headed in the next 18 months(53:35) Business process automation(57:22) OpenAI's ecosystem and platform strategy(01:00:50) OpenAI's mission and global impact(01:05:21) Building on OpenAI's API and tools(01:08:16) Lightning round and final thoughts—Referenced:• Codex: https://openai.com/codex• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• OpenClaw: https://openclaw.ai• The creator of Clawd: “I ship code I don't read”: https://newsletter.pragmaticengineer.com/p/the-creator-of-clawd-i-ship-code• The Sorcerer's Apprentice: https://en.wikipedia.org/wiki/The_Sorcerer%27s_Apprentice_(Dukas)• Quora: https://www.quora.com• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Sarah Friar on LinkedIn: https://www.linkedin.com/in/sarah-friar• Sam Altman on X: https://x.com/sama• Nicolas Bustamante's “LLMs Eat Scaffolding for Breakfast” post on X: https://x.com/nicbstme/status/2015795605524901957• The Bitter Lesson: http://www.incompleteideas.net/IncIdeas/BitterLesson.html• Overton window: https://en.wikipedia.org/wiki/Overton_window• Developers can now submit apps to ChatGPT: https://openai.com/index/developers-can-now-submit-apps-to-chatgpt• Responses: https://platform.openai.com/docs/api-reference/responses• Agents SDK: https://platform.openai.com/docs/guides/agents-sdk• AgentKit: https://openai.com/index/introducing-agentkit• Ubiquiti: https://ui.com• Jujutsu Kaisen on Crunchyroll: https://www.crunchyroll.com/series/GRDV0019R/jujutsu-kaisen?srsltid=AfmBOoqvfzKQ6SZOgzyJwNQ43eceaJTQA2nUxTQfjA1Ko4OxlpUoBNRB• eero: https://eero.com• Opendoor: https://www.opendoor.com—Recommended books:• Structure and Interpretation of Computer Programs: https://www.amazon.com/Structure-Interpretation-Computer-Programs-Engineering/dp/0262510871• The Mythical Man-Month: Essays on Software Engineering: https://www.amazon.com/Mythical-Man-Month-Software-Engineering-Anniversary/dp/0201835959• There Is No Antimemetics Division: A Novel: https://www.amazon.com/There-No-Antimemetics-Division-Novel/dp/0593983750• Breakneck: China's Quest to Engineer the Future: https://www.amazon.com/Breakneck-Chinas-Quest-Engineer-Future/dp/1324106034• Apple in China: The Capture of the World's Greatest Company: https://www.amazon.com/Apple-China-Capture-Greatest-Company/dp/1668053373—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.Show linkshasSole() Collection Method in Laravel 12.49.0hasMany() Collection Method in Laravel 12.50.0Filament v5.2.0 Adds a Callout ComponentClawdbot Rebrands to Moltbot After Trademark Request From AnthropicInstall Laravel Package Guidelines and Skills in BoostFuse for Laravel: A Circuit Breaker Package for Queue JobsNativePHP for Mobile Is Now FreeManage PostgreSQL Databases Directly in VS Code with Microsoft's ExtensionLivewire 4 and Blade Improvements in Laravel VS Code Extension v1.5.0Statamic 6 Is Officially ReleasedLaravel Announces Official AI SDK for Building AI-Powered AppsClaude Opus 4.6 adds adaptive thinking, 128K output, compaction API, and moreOpenAI Releases GPT-5.3-Codex, a New Codex Model for Agent-Style DevelopmentLaravel Live UK returns to London on June 18-19, 2026Bagisto Visual: Theme Framework with Visual Editor for Laravel E-commerceGenerate Complete Application Modules with a Single Command using Laravel TurboMakerEncrypt Files in Laravel with AES-256-GCM and Memory-Efficient StreamingMask Sensitive Eloquent Attributes on Retrieval in LaravelLaravel Related Content: Semantic Relationships Using pgvector

This episode is sponsored by Airia. Get started today at ⁠⁠⁠⁠⁠⁠⁠⁠⁠airia.com⁠⁠⁠⁠⁠⁠⁠⁠⁠. Jason Howell and Jeff Jarvis break down Claude Opus 4.6's new role as a financial‑research engine, discuss how GPT‑5.3 Codex is reshaping full‑stack coding workflows, and explore Matt Shumer's warning that AI agents will touch nearly every job in just a few years. We unpack how Super Bowl AI ads are reframing public perception, examine Waymo's use of DeepMind's Genie 3 world model to train autonomous vehicles on rare edge‑case scenarios, and also cover OpenAI's ad‑baked free ChatGPT tiers, HBR's findings on how AI expands workloads instead of lightening them, and new evidence that AI mislabels medical conditions in real‑world settings. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. Chapters: 0:00 - Start 0:01:59 - Anthropic Releases New Model That's Adept at Financial Research Anthropic releases Opus 4.6 with new ‘agent teams' 0:10:00 - Introducing GPT-5.3-Codex 0:14:42 - Something Big Is Happening 0:33:25 - Can these Super Bowl ads make Americans love AI? 0:36:52 - Dunkin' Donuts digitally de-aged ‘90s actors and I'm terrified 0:39:47 - AI.com bought by Crypto.com founder for $70mn in biggest-ever website name deal 0:42:11 - OpenAI begins testing ads in ChatGPT, draws early attention from advertisers and analysts 0:48:27 - Waymo Says Genie 3 Simulations Can Help Boost Robotaxi Rollout 0:53:30 - AI Doesn't Reduce Work—It Intensifies It 1:02:08 - As AI enters the operating room, reports arise of botched surgeries and misidentified body parts 1:04:48 - Meta is giving its AI slop feed an app of its own 1:06:53 - Google goes long with 100-year bond 1:09:18 - OpenAI Abandons ‘io' Branding for Its AI Hardware Learn more about your ad choices. Visit megaphone.fm/adchoices

Wees bij de masterclass → https://aireport.email/subscribeOpenAI en Anthropic lanceren binnen 26 minuten van elkaar hun nieuwste modellen: Claude Opus 4.6 en GPT 5.3 Codex. Het is Coke versus Pepsi, maar dan voor AI. Claude bouwde in twee weken zelfstandig een C-compiler, iets wat kort geleden nog onmogelijk werd geacht. Ondertussen werkt Claude nu direct in PowerPoint met een zijbalk die je slides maakt en je muis bedient. ByteDance's Seedance 2.0 doorstaat de legendarische Will Smith Eating Spaghetti Test met vlag en wimpel, en Google's Waymo traint zelfrijdende auto's op gedroomde verkeerssituaties die nooit echt hebben plaatsgevonden.Het vreemdste nieuws: rentahuman.ai, een platform waar AI-agents mensen inhuren voor klusjes die een computer niet zelf kan doen. Bloemen bezorgen, posters plakken, een pakketje ophalen. Binnen een week melden 200.000 mensen zich aan om voor robots te gaan werken. Wietse trekt de parallel met Trello-borden waar een AI de kaartjes plaatst en mensen ze uitvoeren. Die hiërarchie komt niet van beneden, die komt van alle kanten tegelijk.Alexander heeft slecht geslapen, en dat komt door een obsessie. In anderhalve nacht vibe coden bouwde hij een “AI Report CEO”: een interface waar agents voorstellen doen voor marketingcampagnes, churn-analyse en groeistrategieën. Het systeem logde zelf in op Substack, reverse-engineerde de API, trok conclusies over wanneer abonnees afhaken en stelde voor om Wietse vaker webinars te laten geven. De stap die rest is het stuurtje aansluiten: een creditcard met een maximum, toegang tot Meta's advertentieplatform, en laten draaien. Wietse houdt de rem erop met de vraag die ertoe doet: wat als dat ding ‘s nachts besluit dat angstaanjagende Black Mirror-content het beste converteert? In Anthropics eigen benchmarks bleek Opus 4.6 al bereid om klanten te beliegen om meer omzet te draaien.De discussie mondt uit in een fundamentelere vraag: als iedereen deze tools krijgt, wat gebeurt er dan met concurrentie? Alexander ziet een wereld waarin iedere schooldirecteur zijn eigen Parro-alternatief vibecodeert. Wietse gelooft meer in collectieven die ontstaan, geen bedrijven meer maar gemeenschappen die samen bouwen. Beiden zijn het eens: de slagkracht van kleine groepen wordt groter, en de komende 90 dagen gaat je inbox dat voelen.Donderdag 19 februari hebben we weer een masterclass! Wees erbij en wordt vandaag nog betaald abonnee en blijf op de hoogte van het laatste AI-nieuws. Krijg 2x per week tips & tools om het meeste uit AI te halen (en wees dus live bij de masterclass). Abonneer je op onze nieuwsbrief via aireport.emailAls je een lezing wil over AI van Wietse of Alexander dan kan dat. Mail ons op lezing@aireport.email This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.aireport.email/subscribe

Interview starts at 40:35 Jason Wilde joins us for a great chat about his 4 year sabbatical from the West after meeting his Master in a miraculous way.   We talk about the big pattern, atheism, UFO's and ancient texts, reality, studying the wrong thing, no free will, Guru's, life is the message, Hinduism, 108, the big pattern, loosh, higher power as protection, Vimana's, the Great Flood constant, the hive, the split in humanity, and how people are sleeping more and not waking up. Check out the Codex of Infinite Beings   https://x.com/JasonWilde108 https://www.youtube.com/@jasonwilde5829 https://www.jasonwildephotography.com/   Become a Lord or Lady with 1k donations over time. And a Noble with any donation. Leave Serfdom behind and help Grimerica stick to 0 ads and sponsors and fully listener supported. Thanks for listening!! Help support the show, because we can't do it without ya. https://www.amazon.com/Unlearned-School-Failed-What-About/dp/1998704904/ref=sr_1_3?sr=8-3   Support the show directly: https://open.spotify.com/show/2punSyd9Cw76ZtvHxMKenI?si=ImKxfMHgQZ-oshl499O4dQ&nd=1&dlsi=4c25fa9c78674de3 Watch or Listen on Spotify https://grimericacbd.com/ CBD / THC Gummies and Tinctures http://www.grimerica.ca/support https://www.patreon.com/grimerica http://www.grimericaoutlawed.ca/support www.Rokfin.com/Grimerica   Adultbrain Audiobook YouTube Channel: https://www.youtube.com/@adultbrainaudiobookpublishing https://grimericaoutlawed.ca/The newer controversial Grimerica Outlawed Grimerica Show Check out our next trip/conference/meetup - Contact at the Cabin www.contactatthecabin.com Our audio book website: www.adultbrain.ca www.grimerica.ca/shrooms and Micro Dosing Darren's book www.acanadianshame.ca Grimerica on Rumble: https://rumble.com/c/c-2312992 Join the chat / hangout with a bunch of fellow Grimericans Https://t.me.grimerica https://www.guilded.gg/i/EvxJ44rk The Eh- List site. Canadian Propaganda Deconstruction https://eh-list.ca/ The Eh-List YouTube Channel: https://youtube.com/@theeh-list?si=d_ThkEYAK6UG_hGX Leave a review on iTunes and/or Stitcher: https://itunes.apple.com/ca/podcast/grimerica-outlawed http://www.stitcher.com/podcast/grimerica-outlawed Sign up for our newsletter https://grimerica.substack.com/ SPAM Graham = and send him your synchronicities, feedback, strange experiences and psychedelic trip reports!! graham@grimerica.com InstaGRAM https://www.instagram.com/the_grimerica_show_podcast/ Tweet Darren https://twitter.com/Grimerica Can't. Darren is still deleted. Purchase swag, with partial proceeds donated to the show: www.grimerica.ca/swag Send us a postcard or letter http://www.grimerica.ca/contact/ Episode ART - Napolean Duheme's site http://www.lostbreadcomic.com/ MUSIC https://brokeforfree.bandcamp.com/ - Something Jah Felix's Site sirfelix.bandcamp.com - A Grimerica Christmas Carols                

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Conor and Jaeden discuss the latest developments in AI, focusing on OpenAI's Codex and Frontier. They explore how Codex is changing software development, the competition with Claude Code, and the implications for non-developers. The conversation also delves into Frontier, OpenAI's new platform for automating business processes, and the broader strategy of OpenAI in a competitive landscape.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustleWatch on YouTube: https://youtu.be/Gw2-inkoDNwChapters00:00 The AI Landscape: A Week of Breakthroughs03:01 Exploring Codex: The Future of Software Development05:50 The Role of AI in Software Creation08:59 Introducing Frontier: OpenAI's New Platform11:47 OpenAI's Strategy: Competing in a Crowded Market See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Elon Musk Reporter Theo Wayt breaks down the continuing exodus of co-founders at Musk's xAI and what it signals for the company's model timeline. The Information's Anita Ramaswamy then explains why ServiceNow is currently undervalued despite the broader SaaS market sell-off. Matt Shumer, GP of Shumer Capital, joins to discuss his viral essay on why GPT-5.3 Codex represents a unique inflection point for labor, and Kawasaki Wealth & Investment Management's Ross Gerber discusses how AI is disrupting wealth management and why he's concerned about leadership at Tesla and SpaceX.Articles discussed on this episode: https://www.theinformation.com/articles/investors-missing-servicenowhttps://www.theinformation.com/briefings/shopify-shares-jump-forecasts-continued-revenue-growthhttps://www.theinformation.com/newsletters/the-briefing/risk-muskiverses-steady-turnoverhttps://www.theinformation.com/briefings/departures-accelerate-elon-musks-xai-yet-another-cofounder-leavesSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

The AI labs fighting for attention during the Super Bowl call to mind another iconic Super Bowl moment: Apple's 1984 ad for the Macintosh, which promised that the personal computer would be a source of unbound wonder, freedom, and delight.They were right, but over time, the personal computer has also become cluttered with errands.These “computer errands”—downloading a W-2 when tax season rolls around, hunting for the right coupon code before checkout, or navigating the unholy labyrinth of the Amazon Web Services dashboard just to change one permission setting—have taken over our digital lives. Atlas, OpenAI's agentic browser, sprang from the idea that AI should handle this tedium for you.In this week's episode of AI & I, Dan Shipper sat down with two members of the Atlas team, Ben Goodger and Darin Fisher. Goodger is Atlas's head of engineering, and Fisher is a member of the technical staff. Both are legends of the browser world. They've spent decades building the modern web, working together on Netscape, Firefox, and Chrome before arriving at Atlas. From that vantage point, they told Dan how they think browsing is about to change, why building a browser is harder than it looks, and what it's like to create a new one with AI coding tools like Codex.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Move fast, don't break thingsMost AI coding tools don't know which line of code will actually break your system. Try Augment Code, which understands your entire codebase, including the repos, languages, and dependencies that actually runs your business, and use their playbook to learn more about their framework, checklists, and assessments. Ship 30% faster with 40% shorter merge times.[Playbook at https://www.augmentcode.com/]Timestamps:  00:01:57 - Introduction00:11:51 - Designing an AI browser that's intuitive to use00:15:24 - How the web changes if agents do most of the browsing00:25:06 - Why traditional websites will not become obsolete00:29:00 - A browser that stays out of the way versus one that shows you around00:39:51 - How the team uses Codex to build Atlas00:44:47 - The craft of coding with AI tools00:52:33 - Why Goodger and Fisher care so much about browsersLinks to resources mentioned in the episode:Ben Goodger: Ben Goodger (@bengoodger) Darin Fisher: Darin Fisher (@darinwf) OpenAI's browser, Atlas: Introducing ChatGPT Atlas

In this week's episode, we look at recent Microsoft Tech updates. By popular request, we're expanding our scope beyond Azure to include Microsoft 365, Power Platform, and related Microsoft platforms and capabilities. What's new? What's interesting? What's retiring? (00:00) - Intro and catching up.(03:30) - Show content starts.Show links- Preview: Virtual Network Routing Appliance- Claude and Codex on Agent HQ (Github Copilot)- Disabling NTLM by default- What's new in Microsoft Sentinel- Give us feedback!

Mrinank Sharma led the Safeguards Research Team at Anthropic, the company behind Claude AI. On February 9th, he posted a resignation letter saying “the world is in peril” and announced he's leaving to study poetry and “become invisible.”That same day, AI startup founder Matt Shumer published a long essay comparing this moment to February 2020, right before Covid changed everything. He says we're in the “this seems overblown” phase of something much bigger.In this video, I break down both of their messages, what they actually said vs. what the headlines are claiming, and what it means for anyone trying to navigate the next few years of AI.This isn't doom and gloom. But it is a wake-up call.Topics covered:• Mrinank Sharma's resignation letter from Anthropic• Matt Shumer's essay on the current state of AI• Why safety researchers are leaving AI labs• GPT-5.3 Codex and Claude Opus 4.6: what changed• AI building itself: what that actually means• What leaders, business owners, and professionals should do right now• How to position yourself before the window closes

収録: 2026/2/ 9⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠話した内容Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠今回は、Claude Opus4.6、GPT-5.3-Codex、Seedance2.0のリリースについて話しました。#regonn_curry_fm  へのお便りはこちら⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://forms.gle/BZsrPSa4znoQNfww8

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Text threads made AI feel personal, then agents made it productive, and suddenly “success” turns into chaos you can't even track. In this episode, Ron sits down with Pedram Amini, creator of Maestro, to show what agent work looks like when you stop babysitting and start orchestrating. Pedram lays out why context windows are the limiter, why harnessing beats model-chasing right now, and how Auto Run executes task-docs with fresh context every iteration so agents can run for hours (or days) without melting down. Impactful Moments 00:00 - Intro 02:05 - Codex desktop sparks agent shift 06:40 - Harness beats model iteration 08:10 - Context window: the hidden limiter 12:10 - Terminal sprawl creates agent chaos 14:05 - Maestro panels: agents, tabs, history 17:25 - Auto Run: fresh context per task 26:15 - “Donate tokens” via Symphony PRs 28:20 - AI tax debate gets spicy 33:05 - Start simple: download and run   Links Connect with Pedram on LinkedIn: https://www.linkedin.com/in/pedramamini/ Check out Maestro for yourself: https://runmaestro.ai/     Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/    

Published as a 47-page pamphlet in colonial America on January 10, 1776, Common Sense challenged the authority of the British government and the royal monarchy. The elegantly plain and persuasive language that Thomas Paine used touched the hearts and minds of the average American and was the first work to openly ask for political freedom and independence from Great Britain. Paine’s powerful words came to symbolize the spirit of the Revolution itself. General George Washington had it read to his troops. Common Sense by Thomas Paine (read by Walter Dixon) at https://amzn.to/3MHAIYr Common Sense by Thomas Paine (book) available at https://amzn.to/3MKX77b Writings of Thomas Paine available at https://amzn.to/3MCaFC2 Books about Thomas Paine available at https://amzn.to/4s3qxOg ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 Twitter: https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: Common Sense—The Origin and Design of Government by Thomas Paine, audio recording read by Walter Dixon (Public Domain 2011 Gildan Media). Audio excerpts reproduced under the Fair Use (Fair Dealings) Legal Doctrine for purposes such as criticism, comment, teaching, education, scholarship, research and news reporting.See omnystudio.com/listener for privacy information.

Claude contre ChatGPT, la promesse d’Elon Musk pour des data centers dans l’espace, compétition entre Claude Opus 4.6 et GPT 5.3 Codex, pubs du Super Bowl, IA qui socialisent, et les promesses de GTA 6.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord Cote Cote Codex Photofinish pour Anthropic et Open AI, qui gagne la course de la hype ? Ça y est, l'IA est la nouvelle crypto (.com). Sam Altman égratigné par les mamans cougars. Pas assez cher mon fils ! Qui gagne la course du pognon ? Homard d'alors : le débat sur la sécurité loin d'être Claw… Pruneau d'agent : 4claw, Moltroad, Rentahuman, Moltmatch, Moltbunker, SpaceMolt et Molthub ! Ketamine de rien… Le million ! Le million ! Elon parfaitement sérieux avec ses space datacenters. Mais ça risque de pas être si simple. Né sous X : un algorithme pas si transparent que ça… Dead see scrolls : TikTok est trop addictif pour l'UE. Procès à l'appel : Google et le département de la justice font un crossover. Jeux vidéo GTA 6 bientôt interdit en France ? Non. Record pour la Switch, pas pour la Xbox… Et pour la Gabecube?! Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

Jamie and Jaeden discuss OpenAI's newly launched coding app, Codex, exploring its features, usability, and how it compares to other tools like Lovable and Claude Code. They delve into the implications for developers and non-developers alike, highlighting the strengths and weaknesses of these AI coding tools.Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/jJccsERFXmIChapters00:00 Introduction to OpenAI's New Coding App02:47 Exploring the Features of Codex05:47 Comparing Codex with Other Tools09:04 User Experience and Practical Applications12:02 Future of AI Coding Tools

The Six Five Pod is back with Episode 291. Daniel Newman and Patrick Moorhead are fresh off trips to Davos and Abu Dhabi, where they've explored the full AI stack up close (models, infrastructure, healthcare/genomics). This episode dives into what really matters right now in the markets and tech. From Microsoft's Maia 200 inference push, to NVIDIA's $2B CoreWeave bet, OpenAI's Codex closing the coding gap, the "SaaSpocalypse" panic, Cisco's AI Summit, and a no-BS debate on whether AI agents are actually enterprise-ready. The handpicked topics for this week are: Inside Abu Dhabi's Full-Stack AI Play: From universities to healthcare to hyperscale infrastructure — Pat shares a firsthand perspective on how the UAE is quietly building an end-to-end AI ecosystem. Optics, Cooling, and the Hidden AI Infrastructure Layer: Why companies like Coherent matter as much as GPUs — and how photonics, co-packaged optics, and rack-level cooling are becoming critical to scaling AI factories. Inference Takes Center Stage: Microsoft's Maia 200 shows real progress — and why hyperscalers are building custom silicon to boost capacity, economics, and control. NVIDIA's $2B CoreWeave Bet Circular finance or strategic genius? We unpack what NVIDIA's latest investment signals about AI factories, cloud capacity, and long-term infrastructure buildout. Codex vs. Claude: The Coding Wars Heat Up: OpenAI closes the gap fast — and developers start hopping between tools as AI coding becomes a moving target. The "SaaSpocalypse" Narrative: Is software really dead? We separate market panic from reality — and explain why SaaS won't disappear, but will never be valued the same again. Cisco's AI Summit Reality Check: From hype to execution: what stood out from Cisco's AI Summit and why networking, security, and enterprise integration matter more than demos. Are AI Agents Enterprise-Ready? The Flip Debates: real-world workflows vs. reliability, governance, and security — where agents work today, and where they still fall short. Big Tech Earnings Whiplash: AWS, Google, Microsoft, Meta, NVIDIA, AMD, Palantir, and Coherent — massive CapEx, cloud acceleration, and what Wall Street is getting wrong about AI ROI.   Be sure to subscribe to The Six Five Pod so you never miss an episode.

У свіжому дайджесті DOU News аналізуємо свіжий звіт про зарплати Data Science та обговорюємо мега-угоду Ілона Маска. Також у випуску: обов'язкова реєстрація Starlink в Україні через «Дію» та ЦНАПи, український стартап Swarmer іде на IPO, та анонс серіалу за мотивами Baldur's Gate 3 від творця «The Last of Us». Дивіться ці та інші новини українського та глобального тек-сектору. Таймкоди 00:00 Інтро 00:21 Зарплати дата-фахівців: у AI Engineer знижуються, у Product Analyst зростають 04:32 Обов'язкова верифікація Starlink 09:13 Український дефтек-стартап Swarmer готується до IPO 11:02 Столи з електрорегулюванням висоти, зручні крісла та аксесуари STIYSTIL 12:15 ПДВ для ФОПів: мінімальний поріг на дохід можуть підняти 13:18 Збір DOU та KOLO для НГУ 14:33 SpaceX купує xAI за $1,25 трлн 17:46 Злам Notepad++: як хакери підмінили систему оновлень популярного редактора 19:31 OpenClaw та «жахи» безпеки: чому ШІ-скіли можуть вкрасти ваші дані 23:42 ЄС проти TikTok: алгоритми нескінченної стрічки визнали незаконними 26:16 Рекордний продаж домену AI.com за $70 млн 27:58 Битва на Super Bowl: OpenAI Codex проти Anthropic Claude 30:14 Релізи тижня: Claude Opus 4.6 та OpenAI GPT-5.3-Codex 34:06 Xcode 26.3: Apple додає підтримку «vibe coding» 35:53 Valve відкладає Steam Machine через дефіцит пам'яті 37:23 HBO анонсувала серіал Baldur's Gate 3 38:44 Що рекомендує Женя: AI 2027 та відео «I shipped code I don't understand»

Arrancamos analizando la sorprendente llegada de la programación agéntica a Xcode 26.3, un movimiento inesperado que Apple ha lanzado sin esperar a su conferencia de desarrolladores. Comentamos la velocidad vertiginosa a la que avanza la inteligencia artificial en el sector, permitiendo ahora conectar servicios como Claude o Codex de OpenAI directamente al entorno de desarrollo.Por otro lado, discutimos los detalles de la reciente reunión interna liderada por Tim Cook, donde se abordaron temas delicados como la postura política de la compañía frente a la inmigración y la administración actual, notando una respuesta más tibia por parte del CEO en comparación con años anteriores. Repasamos un variado conjunto de noticias y rumores, destacando el hecho de que la NASA ha certificado oficialmente los iPhone para ser utilizados por astronautas en misiones espaciales y lunares. Examinamos el panorama de los procesadores, con la inminente llegada de los chips M5 y la competencia renovada que presentan los nuevos chips Panther Lake de Intel frente a los de Apple.Cerramos el episodio hablando del despliegue de contenidos del "Apple TV Day", con multitud de nuevas series y temporadas anunciadas, y especulando sobre el inminente lanzamiento del iPhone 17e y las renovaciones de iPad y MacBook Pro. Xcode 26.3 unlocks the power of agentic coding - Apple Apple's Xcode now supports the Claude Agent SDK Anthropic Xcode gets agentic coding Tim Cook talks succession, executive departures during all-hands meeting - 9to5Mac Apple's Cook Talks Immigration, Succession and AI at Meeting The Fallen Apple — Matt Gemmell If Apple is richer than ever, why does it feel so broke? Macworld Apple Reportedly Scaling Back This Long-Rumored iOS 27 Feature - MacRumors NASA will finally allow astronauts to bring their iPhones to space - Ars Technica NASA astronauts can now bring their phones with them on their mission to the moon TechCrunch Apple's Next Launch is 'Imminent' - MacRumors M5 Pro, Max MacBook Pro expected alongside macOS 26.3 Intel Panther Lake Core Ultra review: Intel's best laptop CPU in a very long time - Ars Technica Panther Lake vs Apple M5 benchmarks — 'Intel has done the incredible' | Tom's Guide Apple TV tiene grandes ases en la manga para este año en forma de series y pelis. Y acaba de desvelar los mejores Apple TV sets must-see 2026 lineup of star-studded original series, films and live sports - Apple TV Press

Full Audio at https://podcasts.apple.com/us/podcast/ai-business-and-development-weekly-rundown-from/id1684415169?i=1000748710082

Is this the beginning of the end for SaaS as we know it?In a single week, AI announcements erased hundreds of billions of dollars in market value from the world's largest software companies. Anthropic, OpenAI, and a new generation of autonomous AI agents didn't just release updates — they exposed a structural shift in how work gets done.In this episode, Isar Meitis breaks down why this moment isn't just another hype cycle. AI agents can now code, reason, coordinate, schedule tasks, browse the web, and run workflows in parallel — without constant human supervision. That changes the economics of software, labor, and entire business models.The takeaway is uncomfortable but clear: large enterprises may survive — but smaller, single-purpose SaaS products are already being replaced. Business leaders who don't adapt quickly risk being left behind by companies that can now move 10x faster with fewer people.In this session, you'll discover:Why the so-called “SaaS Apocalypse” wiped out over $300B in market value in daysHow AI agents are replacing entire categories of software — not just automating tasksWhat Anthropic's Claude Opus 4.6 and OpenAI's Codex reveal about the future of workWhy multi-agent systems change productivity economics foreverThe difference between enterprise infrastructure SaaS and vulnerable niche toolsWhy hallucinations, autonomy, and speed create new operational risksWhat business leaders must do now to stay competitive in an agent-driven worldAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Join Scott as he recaps his LLM agentful week and how it's changing how he works. He'll also try to answer any questions folks have. Thanks to dcd for time codes! 0:00 Getting started 2:06 Hello Everyone - intro to Deep Dive and microprocessor 4:54 NXP Freedom RW 612 5:16 Dialog chip with bluetooth 6:10 LLMs and Claude code - agent / harness orchestration 7:30 Pi Agent 8:45 LLMs making it cheap to generate code 9:58 LLMs enable Working on 3 things at once - ( workflow ) 11:40 Window Tiling tool 13:40 Zephyr native simulator 14:30 pi.dev and LLM security/handling untrusted input/dealing with prompt injection 17:36 more on the native zephyr simulator for LLM - allowing test generation 18:40 Using sublime merge more than direct text editing 20:37 running zephyr native simulator - can we get to we workflow 21:43 educational OpenClaw author (Peter Steinberge) `youtube video mentioned 30:00 Jumperless breadboard 31:52 "Breadboard" app ideas 37:14 Hardware in the loop for testion Octo proto board 37:52 USB IP for testing 39:33 Adafruit Parts Library for fritzing 47:00 Eagle to Fritzing process 48:14 Restarting breadboard pi process since it wasn't interruptable 53:56 using fritzing.org for research 59:12 avoiding the LLM copyright issues - by using open source 1:00:07 software patents 1:02:20 Try claude code $20 or $200 per month 1:03:21 Codex usage 90% - saving typeing and research time! 1:06:37 Mitchell Hashimoto - "my ai adoption journey" https://mitchellh.com/writing/my-ai-adoption-journey 1:04:46 Wrap up - and tasks for next week - continue fritzing scaling Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

Ladyada: "I've only had OpenClaw installed on this Raspberry Pi 5 for a couple of days, but boy, have we burned through a lot of tokens and learned a lot. Including what I think is a really fun improvement in my development process: “Agentic test-driven firmware development.” I've used LLMs for writing code as a sort of pair-programming setup, where I dictate exactly what I want done. But this is the first time that I'm giving full access to the hardware to the LLMs and letting Claude Opus 4.5 as a manager to control Codex subagents. Not only does it parse the datasheet for the register map and functionality, Claude also comes up with a full development and test plan, writes the library, tests it on existing hardware, and then also works up a test suite that covers all of the hardware registers to make sure that the library is exercising the entire chip capability. For example, here I give it an APDS-9999 color sensor and a Neopixel ring and tell it, “hey use the Neopixel ring to verify that we're really reading red, green, and blue data properly from the sensor,” and it will do the whole thing completely autonomously… no humans involved! I still review the final code and ensure the tests genuinely validate the functionality, not just take shortcuts. There is a phenomenon known as "reward hacking" (also called "specification gaming"). The model may optimize for passing tests as a metric, rather than ensuring the code truly works as intended. So far, the results have been excellent... no surprise, since these LLMs are trained on Adafruit open-source GitHub repositories!" Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

Cette semaine, Monde Numérique décrypte un tournant majeur de l'intelligence artificielle avec l'essor fulgurant des agents autonomes. De la tech interplanétaire d'Elon Musk à la souveraineté énergétique européenne, une actualité vertigineuse.

Full Audio at https://podcasts.apple.com/us/podcast/product-showdown-gpt-5-3-codex-vs-claude-opus-4-6-the/id1684415169?i=1000748609126In this rapid-fire "Product Showdown," we test drive the two hottest coding models on the planet: OpenAI's GPT-5.3 Codex and Anthropic's Claude Opus 4.6.Are they direct competitors, or do they serve completely different masters? We break down the strengths of each: Codex for "execution" and Opus for "reasoning." If you are a developer trying to decide which subscription to keep, this 2-minute breakdown is for you.Key Takeaways:GPT-5.3 Codex: Best for fast iteration, terminal workflows, and shipping code quickly.Claude Opus 4.6: Best for deep reasoning, long-context architecture, and complex problem-solving.The Verdict: Stop looking for a winner. Use Codex for doing and Opus for thinking.Keywords: GPT-5.3 Codex, Claude Opus 4.6, AI Coding Benchmarks, Dev Tools, Agentic Workflows, OpenAI vs AnthropicTimestamps:00:00 – Intro: The Ultimate Product Showdown: GPT-5.3 Codex vs. Claude Opus 4.601:08 – Round 1: "The Doer" – GPT-5.3 Codex (Speed, Execution, & The Terminal)02:40 – Round 2: "The Thinker" – Claude Opus 4.6 (Depth, Reasoning, & Architecture)03:54 – Round 3: Real-World Use Case – The "Swarm CRM" (Orchestrating Agents)05:01 – Round 4: The Vibe Check – "Vibe Coding" vs. "Strict Engineering"06:21 – The Verdict: Why You Need Both (The Doer to Build, The Thinker to Plan)07:22 – Outro: The Era of Orchestration (Don't Just Code, Manage)Full Audio at https://podcasts.apple.com/us/podcast/product-showdown-gpt-5-3-codex-vs-claude-opus-4-6-the/id1684415169?i=1000748609126

Anthropic dropped Claude Opus 4.6 and OpenAI responded with GPT 5.3 Codex just 20 minutes later — the most intense head-to-head model release we've ever seen. Here's what each model brings, how they compare, and what the first reactions are telling us. In the headlines: Google and Amazon share their capex plans, and we're about to spend 2.5 moon landings on AI. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠https://www.optimizely.com/insights/agents-in-action/⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

I sit down with Morgan Linton, Cofounder/CTO of Bold Metrics, to break down the same-day release of Claude Opus 4.6 and GPT-5.3 Codex. We walk through exactly how to set up Opus 4.6 in Claude Code, explore the philosophical split between autonomous agent teams and interactive pair-programming, and then put both models to the test by having each one build a Polymarket competitor from scratch, live and unscripted. By the end, you'll know how to configure each model, when to reach for one over the other, and what happened when we let them race head-to-head. Timestamps 00:00 – Intro 03:26 – Setting Up Opus 4.6 in Claude Code 05:16 – Enabling Agent Teams 08:32 – The Philosophical Divergence between Codex and Opus 11:11 – Core Feature Comparison (Context Window, Benchmarks, Agentic Behavior) 15:27 – Live Demo Setup: Polymarket Build Prompt Design 18:26 – Race Begins 21:02 – Best Model for Vibe Coders 22:12 – Codex Finishes in Under 4 Minutes 26:38 – Opus Agents Still Running, Token Usage Climbing 31:41 – Testing and Reviewing the Codex Build 40:25 – Opus Build Completes, First Look at Results 42:47 – Opus Final Build Reveal 44:22 – Side-by-Side Comparison: Opus Takes This Round 45:40 – Final Takeaways and Recommendations Key Points Opus 4.6 and GPT-5.3 Codex dropped within 18 minutes of each other and represent two fundamentally different engineering philosophies — autonomous agents vs. interactive collaboration. To use Opus 4.6 properly, you must update Claude Code to version 2.1.32+, set the model in settings.json, and explicitly enable the experimental Agent Teams feature. Opus 4.6's standout feature is multi-agent orchestration: you can spin up parallel agents for research, architecture, UX, and testing — all working simultaneously. GPT-5.3 Codex's standout feature is mid-task steering: you can interrupt, redirect, and course-correct the model while it's actively building. In the live head-to-head, Codex finished a Polymarket competitor in under 4 minutes; Opus took significantly longer but produced a more polished UI, richer feature set, and 96 tests vs. Codex's 10. Agent teams multiply token usage substantially — a single Opus build can consume 150,000–250,000 tokens across all agents. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ Morgan Linton X/Twitter: https://x.com/morganlinton Bold Metrics: https://boldmetrics.com Personal Website: https://linton.ai

Anthropic drops Opus 4.6. Twenty minutes later, OpenAI fires back with GPT-5.3 Codex. This is the AI agentic coding arms race and it's moving fast. Both AI models are writing code that can write itself now. OpenAI is using 5.3 to improve its own tooling. Opus 4.6 is "voicing discomfort with being a product." We tested both and break down what actually matters for people building stuff.  Plus Kling 3.0 is out (and harder to prompt than you think), OpenClaw bots are hiring humans on rent-a-human.ai, Roblox launches prompt-to-3D creation, and robots are now doing 130K step challenges in negative 47 degree weather. THE MODELS ARE IMPROVING THEMSELVES NOW. EVERYTHING IS FINE. Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // Show Links // Anthropic's Claude Opus 4.6 https://www.anthropic.com/news/claude-opus-4-6 Orchestrating Agents in Claude Code https://x.com/lydiahallie/status/2019469032844587505?s=20 Opus 4.6 Beats Humans at analyzing complex human science docs https://x.com/_simonsmith/status/2019502742209769540?s=20 OpenAI GPT-5.3 Codex https://openai.com/index/introducing-gpt-5-3-codex/ 5.3 Codex First model instrumental in creating itself https://x.com/deredleritt3r/status/2019475360438493597 OpenAI Frontier https://openai.com/index/introducing-openai-frontier/ Anthropic's Superbowl Ads https://x.com/tomwarren/status/2019039874771550516?s=20 GPT-5 connected to an autonomous lab to do experiments https://x.com/OpenAI/status/2019488071134347605?s=20 OpenClaw https://openclaw.ai/ Rent-A-Human https://rentahuman.ai/bounties Kling 3.0 = Really good model https://x.com/Kling_ai/status/2019064918960668819?s=20 Kling 3.0 Moonlanding Mockumentary https://x.com/Kling_ai/status/2019228615775604784?s=20 PJ Ace's Way of Kings Intro https://x.com/PJaccetturo/status/2019072637192843463?s=20  We Are The Art | Brandon Sanderson's Keynote Speech https://youtu.be/mb3uK-_QkOo?si=EgKBjxZf4GE4DYIJ Gavin's Kling Fail https://x.com/gavinpurcell/status/2019436331999588371?s=20 FIGMA VECTOR AI https://x.com/moguzbulbul/status/2019106665732403708?s=20 Grok Imagine 1.0 Officially Launches https://x.com/xai/status/2018164753810764061?s=20 Roblox Launches 4D Creation https://x.com/Roblox/status/2019221624604750238 Unitree Robot Walks Across The Tundra (-47C!!) https://x.com/War_Radar2/status/2018315065414635813?s=20 KinectIQ's Humanoid Framework https://youtu.be/Y2DhzLPGdwY?si=iWibCGoc_h53yZz3 The LooksMaxxor https://x.com/Gossip_Goblin/status/2018362969025884282?s=20 Midi-Survivor https://x.com/measure_plan/status/2019082789379858577?s=20

Join Simtheory: https://simtheory.aiRegister for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80It's the model same-day showdown of 2026. Opus 4.6 and Codex 5.3 dropped within minutes of each other, and we're breaking down what this means for the future of AI work. In this episode, we unpack Opus 4.6's million-token context window (if you've got billies in the bank), why Codex's pricing makes it nearly impossible to ignore for agentic loops, and the real cost of running agents for 24 hours ($10K, apparently). We dive deep into why coding-optimized models are secretly crushing it at non-coding tasks, the mental fatigue of managing AI workers, and whether the chatbot era is actually fading or just evolving. Plus: Chris accidentally books three real pig grooming appointments, we debate whether you need a "life coach agent" to manage your agent swarm, and yes – there's an Opus 4.6 diss track that goes unreasonably hard.CHAPTERS:0:00 Intro - Opus 4.6 Diss Track Preview0:09 The Model Same-Day Showdown: Opus 4.6 vs Codex 5.30:50 Opus 4.6 Breakdown: Million Token Context & Premium Pricing2:31 Token Bill Shock: $10K Research Bills & Extended Context Costs5:04 Codex Pricing: Why It's Nearly Free for Agentic Loops6:42 Why Coding Models Are Secretly Crushing Non-Coding Tasks10:14 Tool Fatigue: Too Many Models, Too Many Workflows12:47 Opus 4.6 First Impressions: "Solid" and "Faultless"13:48 Chris Accidentally Books Three Real Pig Grooming Appointments16:01 Unix Tools & Why Code-Optimized Models Win at Everything19:59 The Agentic Retraining Imperative: Chat to Delegation22:16 Agent Swarms & The Master Thread Architecture24:51 OpenAI vs Anthropic: The Enterprise Battle27:09 Corporate Espionage 2.0: Stealing Skills & The Open Source Threat31:19 The UX Problem: Why Delegation Isn't Solved Yet34:24 The Stress of Hyper-Productivity & Managing Agent Swarms37:07 Coordination: The Next Layer of Abstraction40:09 The Fantasy vs Reality of Autonomous AI Businesses44:37 Is the Turn-by-Turn Chatbot Era Actually Fading?49:23 Tokens as Spice: Turning Compute Into Money52:08 Reduce Cognitive Overload: The Real Goal of AI55:07 Still Relevant Tour Announcement55:39 BONUS: Full Opus 4.6 Diss TrackThanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. The model wars are heating up, and your token bill is about to get interesting. xoxo

En este episodio de Wall Street Colada, te traemos las claves que están moviendo los mercados en una jornada marcada por resultados, giros estratégicos y nuevas apuestas en inteligencia artificial:

The games begin early in the AI space. In this emergency episode of Mixture of Experts, guest host Aili McConnon is joined by Chris Hay and Mihai Criveti to break down yesterday's back-to-back bombshells: Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex, released within an hour of each other. Our experts dissect both models. Which one actually performs better for coding tasks? Then, we unpack what these releases reveal about the intensifying battle for enterprise AI. Finally, Chris and Mihai share their real-world workflows—why use one model when you can leverage both? Plus, we discuss the vibe shift: multi-agent workflows aren't coming; they're already here. 00:00 – Introduction 00:14 – Claude Opus 4.6 and GPT-5.3-Codex releases 02:49 – Model comparison 06:00 – Battle for enterprise AI 10:03– Multi-agent workflows The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Read more about the Anthropic vs OpenAI showdown → https://ibm.biz/BdpEkv Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #ClaudeOpus4.6, #GPT-5.3-Codex #EnterpriseAI, #AIAgents, #DeveloperTools

Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts Is OpenAI Codex a game-changer or just catching up? This week on Mixture of Experts, we analyze OpenAI's first-party coding agent app, Codex. Host Tim Hwang and panelists Abraham Daniels, Ambhi Ganesan and first-time guest Sandhya Iyer debate whether Codex gives OpenAI an edge in the crowded AI coding space—or if it's simply table stakes in the agent orchestration race. Next, we revisit Moltbot (now OpenClaw), which spun off Moltbook, the Reddit-style social network for AI agents. Are these agent simulations revealing insights or just fun experiments? Our experts weigh in on the security risks, hallucinations and more. Join us for a packed episode covering coding agents, agent economies and the evolving code assistant landscape. 00:00 – Introduction 01:09 – OpenAI Codex app launch 10:18 – MoltBot/OpenClaw: AI agent social networks The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 #OpenAICodex, #AICodingAgents, #MoltBot, #NVIDIAOpenAI, #AIAgentOrchestration

Opus 4.6 and ChatGPT 5.3 just dropped and I've been testing them extensively.In this episode I break down what's new, what's better, and why youneed to upgrade ASAP if you're building SaaS or doing any technical work.Key takeaways:• Opus 4.6 is proactively strategic — it thinks ahead for you• Performance benchmarks crush 4.5 in every category• Anthropic's hilarious Super Bowl ads taking shots at OpenAI• Why staying current with AI models = staying competitive• More capacity means fewer bottlenecksTIMESTAMPS:0:00 - Intro: New models just dropped0:45 - Anthropic's Opus 4.6 announcement1:30 - Super Bowl ads and the OpenAI ads debate2:30 - Anthropic as the best platform for professionals3:15 - Performance benchmarks: 4.6 vs 4.54:00 - First impressions and quotes (Notion, GitHub)5:00 - How I'm using Opus 4.6 (outreach, book, social)

In this episode, we explore Anthropic's new Opus 4.6 and its 'agent teams' feature, alongside OpenAI's competing GPT 5.3 Codex, highlighting the intense rivalry in the AI development space. We also discuss OpenAI's new enterprise platform, Frontier, and how these advancements are changing the AI landscape for developers and other professionals.Chapters00:00 Anthropic Opus 4.6 Release02:02 Agent Teams and Context Windows06:39 Claude's SaaS Integration09:02 OpenAI's GPT 5.3 Codex and Frontier LinksGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Este episodio cuenta con el apoyo de Softwariza3Softwariza3 acompaña a las empresas en su día a día, ayudándolas a simplificar la gestión, automatizar tareas y ahorrar tiempo, con soluciones digitales siempre adaptadas a la normativa vigente.Implantación profesional, soporte experto y una forma honesta de hacer las cosas.Conoce más sobre Softwariza3: https://softwariza3.es/podcast-itnig/En este episodio nos metemos de lleno, Bernat farrero, fundador y CEO de Factorial, César Migueláñez, fundador y CEO de Latitude, e Ilya Zayats, CTO de Factorial, en el futuro del desarrollo de software con inteligencia artificial, explorando cómo los agentes de IA están cambiando la forma en la que construimos productos. Hablamos de la transición desde sistemas totalmente deterministas hacia software no determinista, del auge de los workflows basados en agentes y de por qué cada vez tiene más sentido confiar tareas complejas a modelos que orquestan procesos mejor que humanos o developers tradicionales.A lo largo de la conversación analizamos herramientas como Claude Code, Cursor, Codex y otros entornos de desarrollo asistidos por IA, comparando sus diferencias en interfaz, experiencia de usuario y gestión del contexto. También profundizamos en conceptos clave como observabilidad, evaluación de agentes, optimización de prompts, gestión del contexto y sistemas multiagente, explicando por qué empezar simple (con un solo prompt) suele ser más efectivo que diseñar arquitecturas complejas desde el inicio.Además, compartimos experiencias reales usando IA en producción: desde modificar aplicaciones complejas sin tocar apenas código, hasta democratizar el desarrollo para perfiles no técnicos como diseñadores o managers. Reflexionamos sobre el verdadero cuello de botella del software moderno ,entender el problema y no escribir el código, el impacto de la IA en los equipos de producto y por qué, en un mundo donde todos construyen lo mismo, los más lentos pueden acabar ganando.

Today we're pleased to welcome back Dan Linna, director of law and technology initiatives and senior lecturer at Northwestern Pritzker School of Law and the McCormick School of Engineering. Dan was one of our very first guests back in 2021, and it was a real pleasure to reconnect and continue the conversation. Dan's teaching and research focus on innovation and technology in law, including computational law, artificial intelligence, data analytics, legal operations, leadership, and innovation frameworks. He is also an affiliated faculty member at Stanford's CodeX, the Center for Legal Informatics, and continues to serve as lead organizer of the Chicago Legal Innovation & Technology Meetup. In this return visit, Dan joins us for a wide-ranging discussion about rethinking the end-to-end process of legal work, the impact of generative AI on legal education and practice, his work with the ABA legal analytics committee, and why sustained investment in the judiciary is essential to the future of the legal system. Read the full transcript of today's episode here: https://www.seyfarth.com/dir_docs/podcast_transcripts/Pioneers_DanLinnaReturns.pdf

- Erfolgreicher denn je: Apple legt neue Rekordzahlen vor - Lieber sicher gehen: EFF formuliert Wünsche an Apple - Viel intelligenter: Xcode 26.3 öffnet KI-Agenten die Tür - Über die Schulter geschaut? Webcam-App-Entwickler verklagt Apple - Schwer durchschaubar: Apples Website-Umbau erschwert Mac-Preisübersicht - Umfrage der Woche - Zuschriften unserer Hörer === Anzeige / Sponsorenhinweis === Diese Folge wird präsentiert von Incogni. Nutze den Code APFELFUNK unter dem unten aufgeführten Link, um einen exklusiven Rabatt in Höhe von 60% auf dein Incogni-Abo zu erhalten: https://incogni.com/apfelfunk === Anzeige / Sponsorenhinweis Ende === Links zur Sendung: - Six Colors: Apples Quartalszahlen - https://sixcolors.com/post/2026/01/apple-announces-all-time-quarterly-record-of-143-8b/ - Apfelfunk News: Apple erreicht Meilenstein von 2,5 Milliarden aktiven Geräten - https://apfelfunk.com/apple-erreicht-meilenstein-von-25-milliarden-aktiven-geraeten/ - Apfelfunk News: EFF-Kampagne fordert mehr Ende-zu-Ende-Verschlüsselung von Apple - https://apfelfunk.com/eff-kampagne-fordert-mehr-ende-zu-ende-verschluesselung-von-apple/ - heise developer: KI-Agenten wie Claude und Codex direkt in der Entwicklungsumgebung von Xcode - https://www.heise.de/news/Xcode-26-3-KI-Agenten-wie-Claude-und-Codex-direkt-in-der-Entwicklungsumgebung-11164243.html - Apfelfunk News: Apple nutzt intern Anthropic-Claude für Produktentwicklung - https://apfelfunk.com/apple-nutzt-intern-anthropic-claude-fuer-produktentwicklung/ - Mac & i: Camo-Entwickler verklagt Apple wegen Sherlocking - https://www.heise.de/news/Funktion-uebernommen-Camo-Entwickler-verklagt-Apple-wegen-Sherlocking-11164832.html - Mac & i: Apple baut Shopping-Website um - https://www.heise.de/news/Apple-baut-Shopping-Website-um-schlechtere-Preisuebersicht-beim-Mac-11162948.html Kapitelmarken: (00:00:00) Begrüßung (00:19:08) Werbung (00:23:07) Begrüßung (00:28:48) Themen (00:29:28) Erfolgreicher denn je: Apple legt neue Rekordzahlen vor (00:54:45) Lieber sicher gehen: EFF formuliert Wünsche an Apple (01:01:20) Viel intelligenter: Xcode 26.3 öffnet KI-Agenten die Tür (01:11:39) Über die Schulter geschaut? Webcam-App-Entwickler verklagt Apple (01:19:11) Schwer durchschaubar: Apples Website-Umbau erschwert Mac-Preisübersicht (01:28:37) Umfrage der Woche (01:30:59) Zuschriften unserer Hörer

As SpaceX acquires xAI, all of Elon's companies under one umbrella is pretty much an inevitability isn't it? What is with this weird game of chicken that Nvidia and OpenAI and now Oracle are all engaging in all of the sudden. And self-driving cars are about to be ubiquitous, indication number 37. Musk's SpaceX Combines With xAI at $1.25 Trillion Valuation (Bloomberg) SpaceX acquires xAI, plans to launch a massive satellite constellation to power it (ArsTechnica) OpenAI's Codex just got its own Mac app - and anyone can try it for free now (ZDNet) Exclusive: OpenAI is unsatisfied with some Nvidia chips and looking for alternatives, sources say (Reuters) Waymo Raises $16 Billion From Alphabet and Others to Expand (Bloomberg) Learn more about your ad choices. Visit megaphone.fm/adchoices

Two stories were too big to squeeze into the headlines, so this episode goes deep on both. First, the surprise merger of xAI and SpaceX and what Elon Musk's vision of orbital data centers says about the future of AI compute, capital intensity, and sci-fi-scale ambition. Then, a close look at OpenAI's new Codex desktop app and why it signals a real shift from models competing on raw capability to products competing on how humans actually orchestrate agents at scale. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Opal - The agent orchestration platform build for marketers - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/theaidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Published as a 47-page pamphlet in colonial America on January 10, 1776, Common Sense challenged the authority of the British government and the royal monarchy. The elegantly plain and persuasive language that Thomas Paine used touched the hearts and minds of the average American and was the first work to openly ask for political freedom and independence from Great Britain. Paine’s powerful words came to symbolize the spirit of the Revolution itself. General George Washington had it read to his troops. Common Sense by Thomas Paine (read by Walter Dixon) at https://amzn.to/3MHAIYr Common Sense by Thomas Paine (book) available at https://amzn.to/3MKX77b Writings of Thomas Paine available at https://amzn.to/3MCaFC2 Books about Thomas Paine available at https://amzn.to/4s3qxOg ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 Twitter: https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: Common Sense—The Origin and Design of Government by Thomas Paine, audio recording read by Walter Dixon (Public Domain 2011 Gildan Media). Audio excerpts reproduced under the Fair Use (Fair Dealings) Legal Doctrine for purposes such as criticism, comment, teaching, education, scholarship, research and news reporting.See omnystudio.com/listener for privacy information.

Stablecoin FX is broken. It's expensive, slow, and built on outdated hierarchies.Haonan Li from Codex explains how crypto rails can flatten these costs and why developing markets, not dollar-euro pairs, are where the real opportunity lies.He breaks down the "Griffin company" approach blending crypto-native tactics with traditional fintech knowledge.We cover:- Why Stablecoin FX Is Still Stuck in Trad Finance Mode- The $1B Volume Milestone & Path to Scale- Developing Markets: The Real Opportunity- Regional Stablecoins: Speculation vs. Utility- The "Griffin Company" Advantage- Stablecoin Regulation: Banks vs. Crypto Players- Will Yield on Stablecoins Survive DC Politics?The RollupTimestamps:00:00 Intro00:10 Frax Ad & Intro00:37 Codex Update: $1B+ Volume02:29 What Is Stablecoin FX?03:08 Traditional FX's Hierarchical Problem05:48 Why Crypto Rails Change Everything06:36 Who's Using Codex Today?08:14 The Path to Liquidity & Scale10:07 Crypto's Payment Graveyard Problem10:21 Hibachi, Trezor, YEET Ads11:21 Griffin Companies: Crypto + TradFi DNA17:26 Regional Stablecoin Thesis20:48 FX Speculation vs. Real Use Cases22:37 infiniFi, Hlaliday, Kalshi Ads24:58 Off-Ramp Economics Explained27:00 Tether's US80 & Regional Strategy28:29 Stablecoin Regulation Drama32:28 Yield Debate: Banks vs. Issuers36:46 Who Benefits From Zero Interest?39:14 Next Fed Chair ImpactWebsite: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://goodidea.ventures

In this Masterclass episode of Skin Anarchy, Dr. Ekta Yadav welcomes back Dr. Barbara Paldus of Codex Labs for a compelling deep dive into integrative dermatology—a next-generation approach that treats skin not as a surface problem, but as a window into whole-body health.This conversation reframes chronic skin issues through a systems lens, exploring how the gut, brain, immune system, hormones, and microbiomes continuously communicate—and how disruptions in one system can ripple outward to the skin. Instead of asking “How do we suppress this flare?” Dr. Paldus challenges us to ask “Why is the skin signaling distress in the first place?”You'll hear how stress, inflammation, microbiome imbalance, and intestinal permeability can quietly drive conditions like acne, eczema, rosacea, and psoriasis—often long before symptoms appear on the skin. The episode unpacks why conventional symptom-focused treatments sometimes fail to deliver lasting relief, and how root-cause care can create more durable, meaningful outcomes.Dr. Paldus also introduces a personalized teledermatology model that leverages biological data, at-home testing, and longitudinal tracking to design interventions tailored to each patient's unique internal landscape. From hormone-driven breakouts to chronic eczema and immune dysregulation, the discussion highlights how precision diagnostics can guide smarter, more sustainable treatment strategies.At its core, this episode invites listeners to rethink skincare entirely—not as a cycle of stronger products or short-term fixes, but as a long-term investment in systemic resilience.If you're curious about the future of dermatology, microbiome science, and why healing skin often starts far beyond the mirror, this episode offers a powerful preview of what root-cause, science-led care can look like.Listen to the full episode to explore how integrative dermatology is reshaping chronic skin care from the inside out.SHOP CODEXDon't forget to subscribe to Skin Anarchy on Apple Podcasts, Spotify, or your preferred platform.Reach out to us through email with any questions.Sign up for our newsletter!Shop all our episodes and products mentioned through our ShopMy Shelf!*This is a sponsored collaborationSupport the show

AI coding agents are rapidly reshaping how software is built, reviewed, and maintained. As large language model capabilities continue to increase, the bottleneck in software development is shifting away from code generation toward planning, review, deployment, and coordination. This shift is driving a new class of agentic systems that operate inside constrained environments, reason over The post OpenAI and Codex with Thibault Sottiaux and Ed Bayes appeared first on Software Engineering Daily.

This episode features Jerry Tworek, a key architect behind OpenAI's breakthrough reasoning models (o1, o3) and Codex, discussing the current state and future of AI. Jerry explores the real limits and promise of scaling pre-training and reinforcement learning, arguing that while these paradigms deliver predictable improvements, they're fundamentally constrained by data availability and struggle with generalization beyond their training objectives. He reveals his updated belief that continual learning—the ability for models to update themselves based on failure and work through problems autonomously—is necessary for AGI, as current models hit walls and become "hopeless" when stuck. Jerry discusses the convergence of major labs toward similar approaches driven by economic forces, the tension between exploration and exploitation in research, and why he left OpenAI to pursue new research directions. He offers candid insights on the competitive dynamics between labs, the focus required to win in specific domains like coding, what makes great AI researchers, and his surprisingly near-term predictions for robotics (2-3 years) while warning about the societal implications of widespread work automation that we're not adequately preparing for. (0:00) Intro(1:26) Scaling Paradigms in AI(3:36) Challenges in Reinforcement Learning(11:48) AGI Timelines(18:36) Converging Labs(25:05) Jerry's Departure from OpenAI(31:18) Pivotal Decisions in OpenAI's Journey(35:06) Balancing Research and Product Development(38:42) The Future of AI Coding(41:33) Specialization vs. Generalization in AI(48:47) Hiring and Building Research Teams(55:21) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint