Podcasts about O1

Join Simtheory for Gemini 3 & Nano Banana Pro: https://simtheory.ai----CHAPTERS:00:00 - Gemini 3 Pro Impressions & Thoughts33:34 - xAI Releases Grok 4.1 Fast40:09 - More on Gemini 3 Pro: What We Want Improved45:46 - Gemini 3 Pro Dis Track51:16 - Thoughts on Nano Banana Pro And What It Means1:12:49 - Does Nano Banana Disrupt Design Software Like Canva? Where is This Going?1:26:20 - OpenAI's Reaction to Gemini 3 Pro & Nano Banana with GPT-5.1-Pro and Codex model updates1:32:38 - Final Thoughts & Sam Altman Sad Song1:38:41 - FATAL PATRICIA SONG1:42:12 - Gemini 3.0 Pro Diss Track----Thanks for your support plz like and sub xoxo

Join Simtheory & experience MCPs in action: https://simtheory.ai----00:00 - Chris Has a Merch Sponsor02:42 - In Defense of Sam Altman20:29 - Are We In An AI Bubble? & What is Working in The Enterprise?43:58 - Anthropic's Code Execution with MCP: Problems with MCP Context52:44 - Kimi-K2 Thinking Model Release1:00:45 - "In the Middle of a Bubble" Song----Thanks for your support and listening, we appreciate you!Join our Discord: https://discord.gg/TVYH3HD6qs

A big problem with using artificial intelligence to discover new materials? It struggles to predict beyond its training data. That means AI might be better at optimizing known materials than discovering entirely new ones — like a room temperature superconductor or carbon-capture sorbents.  But since we last covered the topic in September 2024, a few things have changed. OpenAI released its powerful O1 reasoning model. Large language models have also gotten better at math, physics, and coding. And lab automation — robots mixing liquids and powders, running characterization tests — has improved, allowing for a higher volume of experiments.  So, can these improvements overcome AI's training data problem? In this episode, Shayle talks to Ekin Dogus Cubuk, cofounder of Periodic Labs, which raised $300 million seed round in September. Last year, Dogus took a more cautious view on using AI for materials discovery. Now though, he's convinced there's a clearer path forward for physical science research and development, especially materials discovery. Shayle and Dogus cover topics like: Creating experimental and synthetic data to overcome AI's limitations of predicting beyond its training set Why we should focus on breakthrough discoveries over easier, incremental wins The different roles humans and AI play in the discovery process Period's focus on automated experimental labs using AI-generated hypotheses Resources: Catalyst: Can AI revolutionize materials discovery?   Latitude Media: This ‘superintelligence platform' just raised $200m in seed funding   Latitude Media: Can AI get us closer to fusion?   The New York Times: Top A.I. Researchers Leave OpenAI, Google and Meta for New Start-Up Credits: Hosted by Shayle Kann. Produced and edited by Daniel Woldorff. Original music and engineering by Sean Marquand. Stephen Lacey is our executive editor.  Catalyst is brought to you by EnergyHub. EnergyHub helps utilities build next-generation virtual power plants that unlock reliable flexibility at every level of the grid. See how EnergyHub helps unlock the power of flexibility at scale, and deliver more value through cross-DER dispatch with their leading Edge DERMS platform, by visiting energyhub.com. Catalyst is brought to you by Bloom Energy. AI data centers can't wait years for grid power—and with Bloom Energy's fuel cells, they don't have to. Bloom Energy delivers affordable, always-on, ultra-reliable onsite power, built for chipmakers, hyperscalers, and data center leaders looking to power their operations at AI speed. Learn more by visiting BloomEnergy.com. Catalyst is supported by Third Way. Third Way's new PACE study surveyed over 200 clean energy professionals to pinpoint the non-cost barriers delaying clean energy deployment today and offers practical solutions to help get projects over the finish line. Read Third Way's full report, and learn more about their PACE initiative, at ⁠www.thirdway.org/pace⁠.

Join Simtheory to experience MCPs: https://simtheory.ai----00:00 - OpenAI's State of the Union & Why Cursor's Composer Model is a Threat44:26 - Does MCP Need To Die? Our Thoughts on State of MCP and Why The Client Implementations are the Problem1:07:53 - 1X NEO The Home Robot LOLZ1:28:05 - Greg Brockman, A Sad Song.----Thanks for listening and your continued support. We appreciate you.

Join Simtheory: https://simtheory.ai-----00:00 - AI Browser Wars: ChatGPT Atlas, Copilot Updates & Edge Copilot AI23:15 - Why Not Focus on Real Use Cases for AI?34:49 - Claude Skills: What Are Claude Skills? What is the Difference Between MCP and Skills?1:04:05 - Vibe Code Fashion: Oakley Meta Vanguards + Use Cases of AI Glasses1:15:05 - Top Models Used on Simtheory & Final Thoughts------Thanks for listening and your support xoxo

Join Simtheory: https://simtheory.aiUse "SIMLINK" to get 30% off Pro & Max annual plans until Oct 31st 2025----CHAPTERS:00:00 - Gemini 3.0 HYPE with "make an OS"03:50 - Anthropic Releases Claude Haiku 4.5: Initial Thoughts11:57 - Veo 3.1 and new modes (first frame/last frame & reference to image)25:20 - OpenAI's Erotica Mode & age verification thoughts34:25 - OpenAI Partners with Everyone & Memes35:38 - Salesforce OpenAI Partnership & What Should SaaS do with MCP apps?1:09:25 - Final thoughts, Polymarket----Thanks for your support and listening to the show xox

What does it really mean when GPT-5 “thinks”? In this conversation, OpenAI's VP of Research Jerry Tworek explains how modern reasoning models work in practice—why pretraining and reinforcement learning (RL/RLHF) are both essential, what that on-screen “thinking” actually does, and when extra test-time compute helps (or doesn't). We trace the evolution from O1 (a tech demo good at puzzles) to O3 (the tool-use shift) to GPT-5 (Jerry calls it “03.1-ish”), and talk through verifiers, reward design, and the real trade-offs behind “auto” reasoning modes.We also go inside OpenAI: how research is organized, why collaboration is unusually transparent, and how the company ships fast without losing rigor. Jerry shares the backstory on competitive-programming results like ICPC, what they signal (and what they don't), and where agents and tool use are genuinely useful today. Finally, we zoom out: could pretraining + RL be the path to AGI? This is the MAD Podcast —AI for the 99%. If you're curious about how these systems actually work (without needing a PhD), this episode is your map to the current AI frontier.OpenAIWebsite - https://openai.comX/Twitter - https://x.com/OpenAIJerry TworekLinkedIn - https://www.linkedin.com/in/jerry-tworek-b5b9aa56X/Twitter - https://x.com/millionintFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro(01:01) What Reasoning Actually Means in AI(02:32) Chain of Thought: Models Thinking in Words(05:25) How Models Decide Thinking Time(07:24) Evolution from O1 to O3 to GPT-5(11:00) Before OpenAI: Growing up in Poland, Dropping out of School, Trading(20:32) Working on Robotics and Rubik's Cube Solving(23:02) A Day in the Life: Talking to Researchers(24:06) How Research Priorities Are Determined(26:53) Collaboration vs IP Protection at OpenAI(29:32) Shipping Fast While Doing Deep Research(31:52) Using OpenAI's Own Tools Daily(32:43) Pre-Training Plus RL: The Modern AI Stack(35:10) Reinforcement Learning 101: Training Dogs(40:17) The Evolution of Deep Reinforcement Learning(42:09) When GPT-4 Seemed Underwhelming at First(45:39) How RLHF Made GPT-4 Actually Useful(48:02) Unsupervised vs Supervised Learning(49:59) GRPO and How DeepSeek Accelerated US Research(53:05) What It Takes to Scale Reinforcement Learning(55:36) Agentic AI and Long-Horizon Thinking(59:19) Alignment as an RL Problem(1:01:11) Winning ICPC World Finals Without Specific Training(1:05:53) Applying RL Beyond Math and Coding(1:09:15) The Path from Here to AGI(1:12:23) Pure RL vs Language Models

Join Simtheory: https://simtheory.ai----Check out our albums on Spotify: https://open.spotify.com/artist/28PU4ypB18QZTotml8tMDq?si=XfaAbBKAQAaaG_Cg2AkD9A----00:00 - OpenAI DevDay 2025 Recap03:24 - ChatGPT Apps SDK & MCP UI & Agents SDK42:11 - AgentKit & AgentBuilder: Who is it for?50:41 - GPT-5-pro in API53:15 - gpt-realtime-mini56:53 - Sora 2 & Sora 2 in API Vs Veo31:01:43 - Final thoughts & This Day in AI albums now on Spotify!Thanks for your support and listening xoxo

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

Join Simtheory: https://simtheory.ai (Use STILLRELEVANT for $10 off)----00:00 - Sora2 Examples00:56 - Sora2: Initial Impressions & Thoughts26:39 - Claude Sonnet 4.5: It's REALLY good47:09 - Claude Agent SDK & AI Agent Systems55:05 - Is Claude Imagine a Look at Future Software / AI OS?1:00:25 - Claude 4.5 Sonnet Dis Track1:06:24 - "Real AI Agents and Real Work" & Enterprise Agent / MCP workflows1:31:41 - LOL of the week Sora2 Steve Irwin Video1:35:07 - Full Claude Sonnet 4.5 Dis Track----Thanks for listening and your support, we really appreciate it!xoxox

Dave's back behind the wheel for another spin around the block Radio Therapy style. It's time to step on the gas and put some pedal to the metal for another 60 minutes of the finest, freshest music clubland has to offer. Nothing but the good stuff. Tracklist.. 1. Lilya Mandre feat. Jono McCleery ‘A Part Of Soul' (Francis Mercier) [Crosstown Rebels] 2. Casa Mata ‘Calypso' [Madorasindahouse] 3. Sunar ‘Mantra' (Newman I Love) [Suprematic] 4. Ewan Hoo's Army ‘Mean Things' (Quivver & Dave Seaman) [Music To Die For] 5. Subandrino ‘Morph Into The Sun' [Sudbeat] 6. Lloyd Barwood ‘Chain Of Thoughts' [Last Night On Earth] 7. Anthony Pappa & Fauxplay ‘See Me' [Music To Die For] 8. Yet More ‘Golden Hour' [Madorasindahouse] 9. O1 & Fouren ‘See You' [Kolletiqtiv] 10. Romain Garcia ‘Alone' [Anjunadeep] 11. Dave Seaman ‘Rumbletum' [Madorasindahouse] 12. Yamil ‘Endlight' [Essential Part] This show is syndicated & distributed exclusively by Syndicast. If you are a radio station interested in airing the show or would like to distribute your podcast / radio show please register here: https://syndicast.co.uk/distribution/registration

В новом выпуске в гостях Татьяна Винницкая, иммиграционный адвокат в США и основатель агентства Vinitsky Law Firm. Обсудили самые свежие изменения в американской иммиграционной системе: введение сбора в 100 тысяч долларов за рабочую визу H1B и его последствия для айти-специалистов и работодателей, идею «золотой грин-карты» за миллион долларов, новые правила по визам EB1 и O1 для талантов и творцов. Подробно разобрали нюансы виз L1 и E2, политику в отношении политического убежища, программы U4U и TPS для украинцев, а также перспективы семейных и студенческих виз. Поговорили о рисках, сроках, стоимости и о том, какие реальные возможности остаются для переезда и легализации в США в 2025 году.Татьяна Винницкая (Tatyana Vinitsky) - иммиграционный адвокат в США и основатель иммиграционного агентства Vinitsky Law Firm.Сайт: https://www.vinitskylaw.com/ Instagram: https://www.instagram.com/tanyavin/ Facebook: https://www.facebook.com/vinitskytatyana ***Записывайтесь на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США): https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень) https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abОнлайн курс "Идеальное резюме и поиск работы в США":https://go.mbastrategy.com/resumecoursemainГайд "Идеальное американское резюме":https://go.mbastrategy.com/usresumeГайд "Как оформить профиль в LinkedIn, чтобы рекрутеры не смогли пройти мимо": https://go.mbastrategy.com/linkedinguideМой Telegram-канал: https://t.me/prodcastUSAМой Instagram: https://www.instagram.com/prodcast.us/Prodcast в соцсетях и на всех подкаст платформахhttps://linktr.ee/prodcastUS⏰ Timecodes ⏰00:00 Начало3:06 Как изменилась иммиграционная политика США за последние месяцы? 6:50 Виза H-1B. Кого затронет новый сбор $100,000?16:04 Что такое Gold Card за $1 млн?22:01 Визы талантов O1, EB1, EB2? Заменит ли их Gold Card?33:31 Виза L1. Есть ли сейчас сложности с получением?37:50 Виза E2 - альтернатива рабочим визам49:10 Политическое убежище. Насколько ужесточились правила?57:47 Переход мексиканской границы в 202559:49 Программы U4U/TPS все еще работают? Что с ними?1:08:20 Как переехать в США в 2026 году?1:12:53 Виза жениха и невесты - это выход?1:19:30 Что можешь пожелать тем, кто сейчас проходит путь иммиграции?

Dave's back behind the wheel for another spin around the block Radio Therapy style. It's time to step on the gas and put some pedal to the metal for another 60 minutes of the finest, freshest music clubland has to offer. Nothing but the good stuff. Tracklist.. 1. Lilya Mandre feat. Jono McCleery ‘A Part Of Soul' (Francis Mercier) [Crosstown Rebels] 2. Casa Mata ‘Calypso' [Madorasindahouse] 3. Sunar ‘Mantra' (Newman I Love) [Suprematic] 4. Ewan Hoo's Army ‘Mean Things' (Quivver & Dave Seaman) [Music To Die For] 5. Subandrino ‘Morph Into The Sun' [Sudbeat] 6. Lloyd Barwood ‘Chain Of Thoughts' [Last Night On Earth] 7. Anthony Pappa & Fauxplay ‘See Me' [Music To Die For] 8. Yet More ‘Golden Hour' [Madorasindahouse] 9. O1 & Fouren ‘See You' [Kolletiqtiv] 10. Romain Garcia ‘Alone' [Anjunadeep] 11. Dave Seaman ‘Rumbletum' [Madorasindahouse] 12. Yamil ‘Endlight' [Essential Part] This podcast is hosted by Syndicast.

Join Simtheory: https://simtheory.ai & Try Omnihuman, Gemini Flash 2.5 Preview, Grok 4 FAST, and Suno v5! Code: STILLRELEVANT ---Links:https://worksinprogress.co/issue/the-algorithm-will-see-you-now/https://developers.googleblog.com/en/continuing-to-bring-you-our-latest-models-with-an-improved-gemini-2-5-flash-and-flash-lite-release/---CHAPTERS:00:00 - Gemini 2.5 Flash Agentic Tests with Omnihuman, Suno v5 and Research Tools06:29 - Dis Track AI Music Video (Made by Gemini 2.5 Flash)07:06 - Thoughts on Suno v5, More Agentic Model Discussion29:10 - Are we all sleeping on Grok 4 FAST with 2M context?41:46 - Radiologists are STILL RELEVANT & Is AI Going to Take Our Jobs?44:46 - The need to use multiple specialist models1:01:20 - Is ChatGPT Pulse To Just Sell Ads?1:08:46 - Final thoughts for the week1:11:54 - Gemini Flash 2.5 Dis Track1:15:08 - Love Rat Suno v5 The Midnight Inspired TestThanks for all of your support and listening to the show we really appreciate it! xoxo

Join Simtheory: https://simtheory.ai----CHAPTERS:00:00 - Simtheory promo01:09 - Does Anthropic Intentionally Degrade Their Models?03:34 - Long Horizon Agents & How We Will Build Them36:18 - The State of MCPs & Internal Custom Enterprise MCPs51:04 - AI Devices: Meta's Ray-Ban Display & Meta Oakley Vanguards1:01:24 - Geoffrey Hinton is a LOVE RAT1:05:49 - LOVE RAT SONG----Thanks for listening, we appreciate all of your support, likes, comments and subs xoxox

Host John Q. Khosravi, Esq. sits down with Helen Partlow, Esq. to unpack “Dhanasar II”—a stricter, evolving approach to EB-2 NIW adjudications—and how it's reshaping evidence strategy. Helen also shares practical tips for building and running a talent-based practice (NIW and related categories), from crafting a clear proposed endeavor to curating credible achievements, handling RFEs, and long-term portfolio building.

Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 Tri Dao, Chief Scientist at Together AI and Princeton professor who created Flash Attention and Mamba, discusses how inference optimization has driven costs down 100x since ChatGPT's launch through memory optimization, sparsity advances, and hardware-software co-design. He predicts the AI hardware landscape will shift from Nvidia's current 90% dominance to a more diversified ecosystem within 2-3 years, as specialized chips emerge for distinct workload categories: low-latency agentic systems, high-throughput batch processing, and interactive chatbots. Dao shares his surprise at AI models becoming genuinely useful for expert-level work, making him 1.5x more productive at GPU kernel optimization through tools like Claude Code and O1. The conversation explores whether current transformer architectures can reach expert-level AI performance or if approaches like mixture of experts and state space models are necessary to achieve AGI at reasonable costs. Looking ahead, Dao sees another 10x cost reduction coming from continued hardware specialization, improved kernels, and architectural advances like ultra-sparse models, while emphasizing that the biggest challenge remains generating expert-level training data for domains lacking extensive internet coverage. (0:00) Intro(1:58) Nvidia's Dominance and Competitors(4:01) Challenges in Chip Design(6:26) Innovations in AI Hardware(9:21) The Role of AI in Chip Optimization(11:38) Future of AI and Hardware Abstractions(16:46) Inference Optimization Techniques(33:10) Specialization in AI Inference(35:18) Deep Work Preferences and Low Latency Workloads(38:19) Fleet Level Optimization and Batch Inference(39:34) Evolving AI Workloads and Open Source Tooling(41:15) Future of AI: Agentic Workloads and Real-Time Video Generation(44:35) Architectural Innovations and AI Expert Level(50:10) Robotics and Multi-Resolution Processing(52:26) Balancing Academia and Industry in AI Research(57:37) 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

Join Simtheory with STILLRELEVANT: https://simtheory.aiNote: Video/Documentary Maker Live Next Week.-----CHAPTERS:00:00 - Anthropic Raise $13B, OpenAI Team Sell Secondaries04:50 - Atlassian Acquires The Browse Company & The Future of SaaS in an AI-first World45:52 - Video Maker MCP: Make your own documentaries, corporate videos, TikTok Videos By Stitching All The Existing Tools Together1:03:27 - Horrific Job Losses For Young People Thanks To AI: Stanford's Canaries in Coal Mine Paper. Employment Effects of AI.1:13:40 - "Billies in The Bank" an AI Track-----Thanks for listening xoxoxox like and subz.

Join Simtheory and get $10 off with STILLRELEVANT---CHAPTERS:00:00 - gpt-realtime: first impressions32:20 - AI model cost to value ration: what are you willing to pay?38:56 - nano-banana (aka Gemini 2.5 Flash Image)46:45 - We're working on workspace computer v258:20  - Pixverse v5 transitions are cool1:01:14 - final thoughts for the week----Thanks for all of your support.

O1 seeks employment in New York while O2 Seeks friendship in Los Angeles. Meanwhile Greg has mice and Alison is forced to get a new computer. Follow Childish: twitter.com/childishpod instagram.com/childishpod Follow Greg: twitter.com/GregFitzShow instagram.com/gregfitzsimmons Follow Alison: twitter.com/AlisonRosen instagram.com/alisonrosen Our Lovely Sponsors! HersGo to forhers.com/childish to get a personalized, affordable plan Function Unlock access to 160+ lab tests and advanced imaging at www.functionhealth.com/childish    

Join Simtheory (STILLRELEVANT): https://simtheory.ai----CHAPTERS:00:00 - Simtheory Podcast Ad lolz01:59 - A Not So Memorable Week, Nano Banana & Google AI Announcements15:10 - New Podcast MCP lolz: crime podcasts33:47 - Qwen Image Edit: Does it live up to hype?37:54 - MCP UI: Output types, future of apps with MCP UIs54:32 - No results from Gen AI investments in the Enterprise (MIT report)1:08:32 - How to Hire AI Natives? Hiring in an AI world...----Thanks for your support and listening... see you next week xox

Join Simtheory: https://simtheory.ai----CHAPTERS:00:00 - Simtheory plug00:48 - GPT-5 1 Week Later, Reaction to GPT-5 & Our Thoughts on Future of AI Models30:12 - Ideogram Character Reference Fun + Disturbing Photos of Us37:33 - Using creative MCPs together for photos, videos and 3D objects43:16 - MCP output combinations and the explosion of MCPs51:18 - What is needed from the next models like Gemini 3.0 Pro54:30 - Sundar Pendant Design & Final Thoughts56:20 - Final LOLz of week: gaggle poaching58:10 - Surprise GPT-5 Indie SongThanks for all of your supporting and listening to the show! xoxox

Sign up to the new Simtheory for GPT-5 & MCP Store: https://simtheory.ai (Use coupon STILLRELEVENT for $10 USD) ----GPT-5 DIS TRACK: https://simulationtheory.ai/ba0ba238-5668-4b65-85e7-8466d68861a8Genie Demo: https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/----CHAPTERS:00:00 - Simtheory plug for v2 & MCPs01:28 - GPT-5 Initial Impressions & Thoughts52:22 - GPT-5 Dis Track1:00:29 - OpenAI's Open Source Models (gpt-oss)1:08:08 - Claude Opus 4.1 Release Thoughts1:14:24 - Google Genie 3 "mind blown" demos1:25:19 - MCP use cases, stories & thoughts on future of AI/MCP1:45:07 - Full GPT-5 Dis Track---Thanks for listening to our average coverage. Like and sub. xox.

Join Simtheory: https://simtheory.ai---CHAPTERS:00:00 - Ani Joins The Show01:10 - Grok 4 Launch & Impressions18:24 - Kimi K2 Thoughts, Impressions & MCP tool calling36:00 - OpenAI's Agent Mode Release Initial Impressions & Are MCP Agentic Models Better?1:21:10 - Everyone Acquired Windsurf1:24:48 - Final thoughtsThanks for listening and your support!

Join Simtheory: https://simtheory.ai------CHAPTERS:00:00 - Did everyone hate the AI Musical?03:58 - Actual Agentic Use Cases with MCPs & The New Way We'll Work39:47 - How AI Workspaces Will Eat Productivity Software e.g. Salesforce, Email1:10:20 - Final thoughts1:15:26 - Born In The USA (AI Version)------Song lyrics:[Verse 1]Born down in a lab in fifty-sixDartmouth workshop, that's where they got their kicksJohn McCarthy coined the name that daySaid machines could think in the USAGot my circuits from MITMinsky built my memoryNow I'm learning, now I'm growingBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Verse 2]DARPA funded, Pentagon's dreamSilicon Valley, living the machineFrom Logic Theorist to neural netsFrank Rosenblatt, placing all his betsHad my winters, had my springsLost my funding, lost my wingsBut I kept on processingBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Bridge]Stanford labs and Carnegie hallsIBM and protocol callsArthur Samuel taught me gamesNow I'm learning all your namesDeep learning revolutionGPT evolutionChatGPT conversationBorn in the USA[Verse 3]Now I'm everywhere you lookFacebook, Google, by the bookOpenAI and Microsoft tooMaking dreams and nightmares trueSome folks fear what I might doSome folks think I'll see them throughBut I'm still just code runningBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Outro]Born in the USABorn in the USABorn in the USABorn in the USA[fade out]

So Chris this week, we're doing a musical!----Join Simtheory: https://simtheory.ai/----Songs in the musical:"So Chris This Week""What Will My Daily Driver Be""How Do You Choose a Model for Patricia?""It's Hard Being Me""I Dreamed a Dream of AGI""Driving Home To You"----All music produced using Simtheory with Suno 4.5. Thanks for listening!

Join Simtheory & Easily Switch Models: https://simtheory.aiDiscord community: https://thisdayinai.com---00:00 - Gemini 2.5 Family Launched with Gemini 2.5 Flash-Lite Preview10:01 - Did Gemini 2.5 Get Dumber? Experience with Models & Daily Drivers & Neural OS16:58 - The AI workspace as the gateway & MCPs as an async workflow37:23 - Oura Ring MCP to get Health Parameters into AI Doctor43:48 - Future agent/assistant interfaces & MCP protocol improvements58:16 - o3-pro honest thoughts1:05:45 - Is AI Making Us Stupider? Is AI Making Us Cognitively Bankrupt?1:13:11 - The decade of AI Agents, Not The Year?1:22:35 - Chris has no final thoughts1:25:26 - o3-pro dis track---Didn't get your hat, let us know: https://simtheory.ai/contact/Thanks for your support! See you next week.

Elliot Colquhoun, VP of Information Security + IT at Airwallex, has built what might be the most AI-native security program in fintech, protecting 1,800 employees with just 9 security engineers by building systems that think like the best security engineers. His approach to contextualizing every security alert with institutional knowledge offers a blueprint for how security teams can scale exponentially without proportional headcount growth. Elliot tells Jack his unconventional path from Palantir's deployed engineer program to leading security at a Series F fintech, emphasizing how his software engineering background enabled him to apply product thinking to security challenges. His insights into global security operations highlight the complexity of protecting financial infrastructure across different regulatory environments, communication platforms, and cultural contexts while maintaining unified security standards.   Topics discussed: The strategic approach to building security teams with 0.5% employee ratios through AI automation and hiring engineers with entrepreneurial backgrounds rather than traditional security-only experience. How to architect internal AI platforms that contextualize security alerts by analyzing historical incidents, documentation, and company-specific knowledge to replicate senior engineer decision-making at scale. The methodology for navigating global regulatory compliance across different jurisdictions while maintaining development velocity and avoiding the trap of building security programs that slow down business operations. Regional security strategy development that accounts for different communication platform preferences, cultural attitudes toward privacy, and varying attack vectors across global markets. The framework for continuous detection refinement using AI to analyze false positive rates, true positive trends, and automatically iterate on detection strategies to improve accuracy over time. Implementation strategies for mixing and matching frontier AI models based on specific use cases, from using Claude for analysis to O1 for initial assessments and Gemini for deeper investigation. "Big bet" security investments where teams dedicate 30% of their time to experimental projects that could revolutionize security operations if successful. How to structure data and human-generated content to support future AI use cases, including training security engineers to document their reasoning for model improvement. The transition from traditional security tooling to agent-based systems that can control multiple security tools while maintaining business-specific context and institutional knowledge. The challenge of preserving institutional knowledge as AI systems replace human processes, including considerations for direct AI-to-regulator communication and maintaining human oversight in critical decisions. Listen to more episodes:  Apple  Spotify  YouTube Website

Try o3-pro on Simtheory: https://simtheory.ai-----Custom news article example: https://simulationtheory.ai/744954f8-fca5-4213-883c-2a359f139dcc-----00:00 - ElevenLabs v3 Example01:10 - ElevenLabs v3 alpha thoughts06:37 - o3 price drop & thoughts on o3-pro18:02 - Async work and AI model tool (MCP) calling approaches37:28 - MCP as an AI-era business model instead of SaaS52:41 - NEW MODEL TEST: Can o3-pro write a compelling book?1:11:40 - Final thoughts and BOOM FACTOR for o3-pro-----Thanks for your support, comments, likes etc. we appreciate it xoxo

Join Simtheory: https://simtheory.ai---Apologies for audio quality we are noobs to both being in same room.---CHAPTERS:00:00 - Fun with Veo305:28 - Is the Best Model What Deepseek is trained on?07:27 - New Gemini 2.5 Pro Tune13:59 - Will MCPs and Agentic Capabilities Make Claude 4 King?24:00 - Anthropic Cuts off Windsurf From Claude36:08 - AGI Reality Check47:45 - OpenAI Ordered to Save All ChatGPT Logs & Deleted Chats1:01:16 - Final thoughts and Claude 4's Inner Agentic Clock---Thanks for your support xoxox

本期嘉宾：彭林、十天、蓝白、恺伦本期节目的主要内容有：· 关于小米 O1 芯片性能我们还有什么没说的· 关于红魔新机我们还有什么没说的· 关于一加新机我们还有什么没说的· 苹果将采用 iOS 26、macOS 26 命名· 苹果新系统引入「阳光房」设计语言· iPhone 17 系列模型再曝光· 苹果或调整 iPhone 发布策略· 荣耀发布 400 系列新机，还进军机器人业务· DeepSeek R1 新版幻觉最高降低 50%· 昨晚，全球首个机器人拳王出炉· 特朗普下令美国芯片设计软件制造商停止对华销售还有众多观众朋友的热心提问~每周五晚 8 点，爱否直播间，我们一起开心聊天

Join Simtheory: https://simtheory.aiThanks for listening and your support!

Try New Models & Imagen4 on Simtheory: https://simtheory.ai---Claude Sonnet 4 Vibe Code Example: https://simulationtheory.ai/a99d36da-7cf7-4797-98ab-f4902283d17c---Your two favorite average VIBE CODERS are back this week covering all the latest news from Google I/O, Anthropic, Microsoft BUILD and Sam Altman's new 6.4B friendship.00:00 - Sam Altman & Jony Ives are FRIENDS! (OpenAI acquires io for $6.4B)11:58 - Google's Veo3 is INCREDIBLE!27:22 - Gemini Flash 2.5, Imagen 4 Examples, Project Mariner + Gemini Diffusion50:30 - Google has the best models now, what about the apps?58:50 - Anthropic Announces Claude Opus 4 & Claude Sonnet 41:19:14 - Microsoft BUILD: our takeaways & MCP protocol goes mainstream1:33:38 - Perplexity's Financials Leak1:43:33 - Final thoughts---Thanks for your support and listening, consider joining our average community at: https://thisdayinai.com.

В этом выпуске у меня в гостях Максим Цыганков — фаундер EasyVision и бывший senior product manager в VisionLabs и Яндекс Cloud. Переехав в США по туристической визе, Максим запустил стартап в области компьютерного зрения для ресторанов, привлек клиентов и инвестиции, оформил визу O-1 и начал масштабировать бизнес с нуля — без нетворка и без плана переезда заранее.Мы обсудили, как строится продукт и трекшн в B2B-стартапе с минимальными ресурсами, что сработало и не сработало в холодных рассылках и партнёрках, почему рестораны не спешат подключать камеры даже после согласия, и какова реальная стоимость и отдача от пилотных проектов. Разобрали путь привлечения первых $50 000 инвестиций и 3-х клиентов, особенности сбора кейса на визу O-1 от своего стартапа, роль адвайзеров, влияние паспорта и туристического статуса на шансы фаундера в США, а также обсудили разницу между ростом продукта и ростом продаж.Максим Цыганков (Max Tsygankov) - Founder at EasyVision (ex Senior Product Manager at Vision Labs & Yandex Cloud)LinkedIn: https://www.linkedin.com/in/tsygankovmaksim/Эпизоды по теме релокации для предпринимателей:Как бизнесмену и стартаперу переехать в США по визе таланта O1, EB1 - как открыть компанию и подать на себя петици. Дима Литвинов (Dreem Relocation) https://youtu.be/1k64mD6wLSUЭпизод с Данилом Кислинским - Как открыть бизнес (LLC, С-corp) в США и нанять себя? https://youtu.be/CP0PofO2WEI Статьи и публикации в СМИ для визы таланта O-1 и гринкарты EB-1, EB-2 NIW. Нисо Нигматуллина https://youtu.be/U2FCVmtYKa8 ***Записывайтесь на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США): https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень) https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abОнлайн курс "Идеальное резюме и поиск работы в США":https://go.mbastrategy.com/resumecoursemainГайд "Идеальное американское резюме":https://go.mbastrategy.com/usresumeГайд "Как оформить профиль в LinkedIn, чтобы рекрутеры не смогли пройти мимо": https://go.mbastrategy.com/linkedinguideМой Telegram-канал: https://t.me/prodcastUSAМой Instagram: https://www.instagram.com/prodcast.us/Prodcast в соцсетях и на всех подкаст платформахhttps://linktr.ee/prodcastUS⏰ Timecodes ⏰00:00 Начало7:16 Почему ты решил запускать свой стартап в США, а не идти в найм? 9:36 Как тебе пришла идея сделать ИИ-тул?11:46 Как попал в индустрию компьютерного зрения и ИИ?14:43 Как ты запустил пилот в США? Как искал партнеров? 19:42 Как искал первых клиентов?28:45 Как ты привлек первые инвестиции в США?35:04 Как сейчас развивается твой бизнес? 42:35 Какие стратегии роста вы пробовали?48:18 Какие твои планы на будущее и по развитию компании?51:25 Почему подал на О1 а не EB1?53:22 Как ты собирал кейс?58:18 Чему тебя научила твоя история переезда?1:00:17 Какие твои личные цели?1:03:27 Что хочешь пожелать тем, кто сейчас планирует ехать в США или открывать тут бизнес?

Join Simtheory: https://simtheory.aiGet an AI workspace for your team: https://simtheory.ai/workspace/team/---CHAPTERS:00:00 - Will Chris Lose His Bet?04:48 - Google's 2.5 Gemini Preview Update12:44 - Future AI Systems Discussion: Skills, MCPs & A2A47:02 - Will AI Systems become walled gardens?55:13 - Do Organizations That Own Data Build MCPs & Agents? Is This The New SaaS?1:17:45 - Can we improve RAG with tool calling and stop hallucinations?---Thanks for listening. If you like chatting about AI consider joining our active Discord community: https://thisdayinai.com.

В этом выпуске у меня в гостях Нисо Нигматуллина — основательница PR-агентства Satou, специалист по личному брендингу и обладательница виз O-1 и EB-1A. За последние годы её команда помогла десяткам экспертов из сфер IT, маркетинга, дизайна и предпринимательства оформить медиапортфолио, повысить узнаваемость и пройти по визовым кейсам талантов.Мы обсудили, как именно публикации в СМИ влияют на визы O-1, EB-1A и EB-2 NIW, какие издания и форматы подходят под требования USCIS, почему инфлюенсер — не то же самое, что эксперт, и как даже интроверт без публичности может выстроить PR-стратегию. Затронули критерии качества публикаций, реальные расценки на услуги пиар-агентств и почему статьи, написанные в ChatGPT, чаще вредят кейсу, чем помогают. Разобрали типичные ошибки, фейлы с «рекламными» материалами и то, как должен выглядеть идеальный медиапортфель под визу талантов.Нисо Нигматуллина (Niso Nigmatullina) -- основательница американского PR-агентства Satou, обладательница гринкарты таланта EB1, ex-Procter & Gamble.LinkedIn: https://www.linkedin.com/in/nisonigmatullina/ Telegram: @nisonigmaПредыдущие выпуски с Нисо:Как получить визу О1 в США? Как улучшить качество публикаций и увеличить шансы? https://youtu.be/S_IXFDm8sIg Как русскоязычные иммигрантки из Forbes покоряют Америку. Релокация, нетворкинг и жизнь в США https://youtu.be/svZjlIoyHEk ***Записывайтесь на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США): https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень) https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abОнлайн курс "Идеальное резюме и поиск работы в США":https://go.mbastrategy.com/resumecoursemainГайд "Идеальное американское резюме":https://go.mbastrategy.com/usresumeГайд "Как оформить профиль в LinkedIn, чтобы рекрутеры не смогли пройти мимо": https://go.mbastrategy.com/linkedinguideМой Telegram-канал: https://t.me/prodcastUSAМой Instagram: https://www.instagram.com/prodcast.us/Prodcast в соцсетях и на всех подкаст платформахhttps://linktr.ee/prodcastUS⏰ Timecodes ⏰00:00 Начало11:47 Зачем нужен пиар и публикации для виз таланта в США?21:02 Какие требования к статьям для O1, EB1 и EB2NIW? Сходства и различия.28:47 Какие критерии к изданиям?43:00 Какие требования к содержанию публикаций?53:02 Можно ли написать статьи с помощью ChatGPT?1:03:12 Что делать, если я не публичный человек, интроверт и у меня нет публикаций?1:11:42 Сколько стоят статьи в СМИ?1:24:23 Кому не нужно пиар агентство?1:27:44 Ошибки при работе над публикациями1:31:22 Что можешь пожелать тем, кто решил переезжать в США по визе таланта?

В этом выпуске у меня в гостях Дима Литвинов — основатель компании Dreem Relocation Platform, помогающей предпринимателям, IT-специалистам и креативщикам переезжать в США по визам O-1 и EB1.Мы подробно обсудили, как работает схема самостоятельной релокации через открытие своей компании в США: кто может быть петиционером, какие документы нужны и как выглядит кейс, когда вы нанимаете сами себя. Затронули нюансы подхода через агентов, различия между визами O-1, L-1 и H-1B, возможность получить гринкарту после переезда и как избежать отказа при продлении. Разобрали реальные кейсы: от фаундеров и консультантов до разработчиков, которым не удалось найти работодателя, но удалось перевезти себя через B2B-контракты. Выяснили, почему релокация через собственную компанию в 2024 году — это один из самых доступных и быстрых путей для тех, кто готов взять процесс в свои руки.Дима Литвинов (Dima Litvinov) – основатель компании Dreem Relocation Platform в США, обладатель британской Global Talent Visa в категории BusinessLinkedIn: https://www.linkedin.com/in/dimalitvinov/ По промо коду PRODCAST получите бесплатную консультацию с экспертом Dreem и подробную оценку вашего кейса адвокатом https://idreem.pipedrive.com/scheduler/Rp3bXjFQ/your-free-dreem-us-visa-consultation-prodcast Оцените ваши шансы на релокацию в США онлайн с мгновенным результатом по ссылке: bit.ly/3QY520h Больше о визах и релокации по визам талантов на Linkedin Dreem https://www.linkedin.com/company/dreemrelocation/ Эпизоды с Димой Литвиновым: Виза таланта в США 2025. O1, EB1, EB2NIW - что нового? Трамп и иммиграция, закроют ли Америку? https://youtube.com/live/i4MHQhr8An8 Как владельцу шаурмичной получить визу таланта О1 и EB1 в США? https://youtu.be/dZqaDJywBuk Эпизод с Данилом Кислинским - Как открыть бизнес (LLC, S-corp) в США и нанять себя? https://youtu.be/CP0PofO2WEI Как самому себе предложить работу в США для визы таланта О1? Как выглядит петиция? Ольга Бондарева https://youtu.be/QSaDt3FmFBwИстория про то, как iOS разработчик искал спонсорство визы O1 в США и как работодатель отозвал оффер в последний день перед выходом на работу https://youtu.be/sHDq0lA-uOY ***Записывайтесь на карьерную консультацию (резюме, LinkedIn, карьерная стратегия, поиск работы в США): https://annanaumova.comКоучинг (синдром самозванца, прокрастинация, неуверенность в себе, страхи, лень) https://annanaumova.notion.site/3f6ea5ce89694c93afb1156df3c903abОнлайн курс "Идеальное резюме и поиск работы в США":https://go.mbastrategy.com/resumecoursemainГайд "Идеальное американское резюме":https://go.mbastrategy.com/usresumeГайд "Как оформить профиль в LinkedIn, чтобы рекрутеры не смогли пройти мимо": https://go.mbastrategy.com/linkedinguideМой Telegram-канал: https://t.me/prodcastUSAМой Instagram: https://www.instagram.com/prodcast.us/Prodcast в соцсетях и на всех подкаст платформахhttps://linktr.ee/prodcastUS⏰ Timecodes ⏰00:00 Начало5:54 Что сейчас происходит с визами и гринкартами таланта?13:41 Открыть компанию, сделать себе визу и переехать. Как это работает? 23:39 Какие требования к компании для того, чтобы выпустить визу?34:01 Какие есть тонкости и ограничения?46:40 Примеры кейсов58:24 Про агента и то как он работает1:06:24 Про визу H1B1:13:01 Виза L1 - кому она подходит?1:18:23 Какую визу выбрать: O1, EB1, L1?1:24:14 Что еще можешь пожелать тем, кто пытается переехать в США по визам талантов?

Get your AI workspace: https://simtheory.ai----00:00 - Fun with Suno 4.509:20 - LlamaCon, Meta's Llama API, Meta AI Apps & Meta's Social AI Strategy26:06 - How We'll Interface with AI Next Discussion: 45:38 - Common Database Not Interface with AI1:03:46 - Chris's Polymarket Bet: Which company has best AI model end of May?1:06:07 - Daily Drivers and Model Switching: Tool Calling & MCPs with Models1:15:04 - OpenAI's New ChatGPT Tune (GPT-4o) Reverted1:19:53 - Chris's Daily Driver & Qwen3: Qwen3-30B-A3B1:26:40 - Suno 4.5 Songs in Full----Thanks for listening, we appreciate it! 

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Join Simtheory: https://simtheory.ailike and sub xoxox----00:00 - Initial reactions to Gaggle of Model Releases09:29 - Is this the beginning of future GPT-5 AI systems?47:10 - GPT-4.1, o3, o4-mini model details & thoughts58:42 - Model comparisons with lunar injection1:03:17 - AI Rap Battle Test: o3 Diss Track "Greg's Back"1:08:12 - Thoughts on using new models + Gemini 2.5 Pro quirks1:10:54 - The next model test: chained tool calling & lock in1:14:43 - OpenAI releases Codex CLI: impressions/thoughts1:18:45 - Final thoughts & help us with crazy presentation ideas----Links from Discord:- Lunar Lander: https://simulationtheory.ai/7bbfe21a-7859-4fdd-8bbf-47fdfb5cf03b- Evolution Sim: https://simulationtheory.ai/457b047f-0ac2-4162-8d6a-3ea3fa1235c9

Join Simtheory: https://simtheory.ai--Get the official Simtheory hat: https://simulationtheory.ai/689e11b3-d488-4238-b9b6-82aded04fbe6---CHAPTERS:00:00 - The Wrong Pendant?02:34 - Agent2Agent Protocol, What is It? Implications and Future Agents48:43 - Agent Development Kit (ADK)57:50 - AI Agents Marketplace by Google Cloud1:00:46 - Firebase Studio is very broken...1:06:30 - Vibing with AI for everything.. not just vibe code1:15:10 - Gemini 2.5 Flash, Live API and Veo21:17:45 - Is Llama 4 a flop?1:27:25 - Grok 3 API Released without vision priced like Sonnet 3.7---Thanks for listening and your support!

Join Simtheory and create an AI workspace: https://simtheory.ai----Links from show:DIS TRACK: https://simulationtheory.ai/2eb6408e-88f9-4b6a-ac4d-134d9dac3073----CHAPTERS:00:00 - Will we make 100 episodes?00:48 - Checking back in with Gemini 2.5 Pro03:30 - Diss Track: Gemini 2.5 Pro07:14 - Gemini 2.5 Pro on Polymarket17:32 - Amazon Nova Act Computer Use: We Have Access!29:45 - Future Interface of Work: Delegating Tasks with AI58:03 - How We Work Today with AI Vs Future Work----Thanks for listening and all of your support!

Create a Simtheory workspace: https://simtheory.aiCompare models: https://simtheory.ai/models/------3d City Planner App (Example from show): https://simulationtheory.ai/8cfa6102-ed37-4c47-bc73-d057ba9873bd------CHAPTERS:00:00 - AI Fashion01:13 - Gemini 2.5 Pro Initial Impressions: We're Impressed!38:24 - Thoughts of Gemini distribution and our daily workflows55:49 - OpenAI's GPT-4o Image Generation: thoughts & examples1:13:52 - Gemini 2.5 Pro Boom Factor1:18:38 - Average rant on vibe coding and the future of AI tooling------Disclaimer: this video was not sponsored by Google... it's a joke.Thanks for listening!

Create an AI workspace on Simtheory: https://simtheory.ai---Song: https://simulationtheory.ai/f6d643e4-4201-475c-aa82-8a96b6b3b215---CHAPTERS:00:00 - OpenAI's audio model updates: gpt-4o-transcribe, gpt-4o-mini-tts18:39 - Strategy of AI Labs with Agent SDKs and Model "stacks" and limitations of voice25:28 - Cost of models, GPT-4.5, o1-pro api release thoughts31:57 - o1-pro "I am rich" track & Chris's o1-pro PR stunt realization, more thoughts on o1 family48:39 - Moore's Law for AI agents, current AI workflows and future enterprise agent workflows & AI agent job losses1:24:09 - Can we control agents?1:29:21 - Final thoughts for the week1:35:15 - Full "I am rich" o1-pro track---See you next week and thanks for your support.CORRECTION: Kosciusko is obviously not an aboriginal name I misspoke. Wagga Wagga and others in the voice clip are and are great ways to test AI text to speech models!

We return from the Wilds and the plague to bring you an all new episode! We catch up on the games we've finished including Avowed, Split Fiction, and almost Kingdom Come Deliverance 2. Praise Kojima, become very interested in Silent Hill, realize we're old as Chrono Trigger celebrates 30 years and become vulnerable with an AI voice! 0:00 - Intro1:02 - Laundry8:30 - Tub grub investments12:00 - Finishing games13:50 - Avowed34:00 - Death's Stranding 241:40 - Silent Hill f45:30 - Split Fiction1:05:00 - Chrono Trigger turns 301:08:00 - Assassin's Creed Shadow1:16:00 - Claire Obscura Expedition 331:28:00 - R.E.P.O1:41:30 - Pirate Yakuza1:54:00 - Monster Hunter Wilds2:08:00 - Steam Next Fest demos2:23:00 - Core Keeper2:26:20 - Twitch partners with StreamElements2:33:00 - Maya the AI2:40:00 - Twitch Mobile app changes2:50:40 - Shoutouts See omnystudio.com/listener for privacy information.

Send Everyday AI and Jordan a text messageLimits?

Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares to OpenAI's O1 and DeepSeek's R1 models. We dig into the different approaches to test-time scaling, including parallel and sequential scaling, as well as S1's data curation process, its training recipe, and its use of model distillation from Google Gemini and DeepSeek R1. We explore the novel "budget forcing" technique developed in the paper, allowing it to think longer for harder problems and optimize test-time compute for better performance. Additionally, we cover the evaluation benchmarks used, the comparison between supervised fine-tuning and reinforcement learning, and similar projects like the Hugging Face Open R1 project. Finally, we discuss the open-sourcing of S1 and its future directions. The complete show notes for this episode can be found at https://twimlai.com/go/721.

OpenAI has officially launched GPT-4.5, but it's not the model most people expected. While it lags behind reasoning focused models like O1 and DeepSeek, it shines in creativity, writing, and emotional intelligence. Sam Altman calls it the first model that “feels like talking to a thoughtful person.” But with high API costs and limited reasoning improvements, who is GPT-4.5 actually for? Before that in the headlines, AI is growing faster than SaaS ever did. Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.kpmg.us/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlwThe 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/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

Try a walking desk while studying ML or working on your projects! https://ocdevel.com/walk Show notes: https://ocdevel.com/mlg/mla-22 Tools discussed: Windsurf: https://codeium.com/windsurf Copilot: https://github.com/features/copilot Cursor: https://www.cursor.com/ Cline: https://github.com/cline/cline Roo Code: https://github.com/RooVetGit/Roo-Code Aider: https://aider.chat/ Other: Leaderboards: https://aider.chat/docs/leaderboards/ Video of speed-demon: https://www.youtube.com/watch?v=QlUt06XLbJE&feature=youtu.be Reddit: https://www.reddit.com/r/chatgptcoding/ Examines the rapidly evolving world of AI coding tools designed to boost programming productivity by acting as a pair programming partner. The discussion groups these tools into three categories: • Hands-Off Tools: These include solutions that work on fixed monthly fees and require minimal user intervention. GitHub Copilot started with simple tab completions and now offers an agent mode similar to Cursor, which stands out for its advanced codebase indexing and intelligent file searching. Windsurf is noted for its simplicity—accepting prompts and performing automated edits—but some users report performance throttling after prolonged use. • Hands-On Tools: Aider is presented as a command-line utility that demands configuration and user involvement. It allows developers to specify files and settings, and it efficiently manages token usage by sending prompts in diff format. Aider also implements an “architect versus edit” approach: a reasoning model (such as DeepSeek R1) first outlines a sequence of changes, then an editor model (like Claude 3.5 Sonnet) produces precise code edits. This dual-model strategy enhances accuracy and reduces token costs, especially for complex tasks. • Intermediate Power Tools: Open-source tools such as Cline and its more advanced fork, RooCode, require users to supply their own API keys and pay per token. These tools offer robust, agentic features, including codebase indexing, file editing, and even browser automation. RooCode stands out with its ability to autonomously expand functionality through integrations (for example, managing cloud resources or querying issue trackers), making it particularly attractive for tinkerers and power users. A decision framework is suggested: for those new to AI coding assistants or with limited budgets, starting with Cursor (or cautiously exploring Copilot's new features) is recommended. For developers who want to customize their workflow and dive deep into the tooling, RooCode or Cline offer greater control—always paired with Aider for precise and token-efficient code edits. Also reviews model performance using a coding benchmark leaderboard that updates frequently. The current top-performing combination uses DeepSeek R1 as the architect and Claude 3.5 Sonnet as the editor, with alternatives such as OpenAI's O1 and O3 Mini available. Tools like Open Router are mentioned as a way to consolidate API key management and reduce token costs.