Podcasts about OpenAI

After OpenAI CEO Sam Altman launched ChatGPT in 2022, the race for dominance in the field of artificial intelligence hit warp speed. Silicon Valley has poured billions of dollars into developing AI, building data centers, and promising a future free from the chains of unfulfilling work across the globe.But in “Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI,” tech reporter Karen Hao pulls back the curtain, unveiling the human and environmental cost of artificial intelligence and the colonial ambitions undergirding Silicon Valley's efforts to fuel the rise of AI.This week on The Intercept Briefing, host Jessica Washington speaks to Hao about her book and the dawn of the AI empire. “Empires similarly consolidate a lot of economic might by exploiting extraordinary amounts of labor and not actually paying that labor sufficiently or at all,” says Hao. “So that's how they are able to amass wealth — because they're not actually distributing it.”“The speed at which they're constructing the infrastructure for training and deploying their AI models” is what shocks Hao the most, as “this infrastructure is actually not technically necessary, and ... somehow the companies have effectively convinced the public and governments that it is. And therefore there's been a lot of complicity in allowing these companies to continue building these projects.”“They have effectively been able to use this narrative of [artificial general intelligence] to accrue more capital, land, energy, water, data. They've been able to accrue more resources — and critical resources — than pretty much anyone in history,” Hao says, warning of "the complete aggressive and reckless” growth of AI infrastructure, but stresses that none of this is inevitable. “There is a very clear path for how to unlock the benefits of AI without accepting the colossal cost of it.”Listen to the full conversation of The Intercept Briefing on Apple Podcasts, Spotify, or wherever you listen.If you want to support our work, you can go to theintercept.com/join. Hosted on Acast. See acast.com/privacy for more information.

What was your tech takeaway in 2025? And what is going to be the big story in 2026? Oz sits down with the author of The Running Ground and The Atlantic’s CEO, Nicholas Thompson, to discuss the odd intersection between tech and religion, the tech to compensate media companies for AI training data, who OpenAI’s real rival is, why we don’t understand how AI works, and much, much more.See omnystudio.com/listener for privacy information.

In this episode, we explore how OpenAI is shifting its focus toward audio technologies and what that means for the broader tech industry as Silicon Valley increasingly questions the dominance of screens. We break down why audio is becoming a strategic battleground and how this shift could change the way we interact with AI and devices.Get 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-See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI bids lavishly $555K+ luring Head of Safety from top research labs globally. Candidate masters techniques scaling human oversight to superhuman intelligence. Package mirrors existential risk mitigation imperatives.Get 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/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI wants Safety Lead offering elite $555K+ total comp package globally. Role demands mechanistic interpretability preventing black swan capabilities. Escalation signals humanity-scale problem imperatives dramatically.Get 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/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Recruitment blitz deploys $555K+ seeking Head of Safety amid trillion-parameter era. Pioneering techniques counter inner misalignment proactively worldwide. Industry watches alignment PhDs race for record comp.Get 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/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI seeks safety superman offering $555K+ total comp for Head of Safety leadership. Candidate must pioneer techniques countering deception in advanced systems. Record package underscores urgency of alignment before AGI arrival.Get 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/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this engaging conversation, Michael sits down with Colin MB Cooper to explore the intersection of human behavior, neuroscience, and artificial intelligence. Colin shares how his lifelong curiosity for technology began at age 13 when he disassembled his father's computer, sparking a passion that now informs his work blending neuroscience and AI. Together, they reflect on decades of rapid technological change and the unique skillset Colin brings to understanding it. Declining Workforce Competencies in Younger Generations Michael and Colin discuss an emerging concern: the decline in critical thinking, curiosity, and creativity among young professionals entering the workforce. Drawing on Michael's experience hiring over a thousand employees and Colin's global hiring experience, they highlight a growing gap between what schools teach and what businesses require. Both note that increased reliance on LLMs may be accelerating this divide, raising important questions about the future of work and education. Technology Dependence and the Erosion of Critical Thinking The conversation turns to society's increasing dependence on technology. Michael shares stories from his early career teaching new hires basic computer skills and even using games like Solitaire to enhance productivity. They discuss how global internet outages could disrupt daily life and why fostering critical thinking and curiosity is essential in today's uncertain environment. AI's Rapid Integration and Its Impact on the Workforce Colin outlines the challenges organizations face as AI outpaces human adaptation. In education, technology is moving faster than teachers can adjust, and in the corporate world, AI-first strategies are leading to hiring freezes and the automation of repetitive work. He emphasizes a human-centered AI model that increases capability rather than replacing people. Real examples from healthcare and customer service highlight how AI can elevate human performance. Colin encourages listeners to upskill using free AI courses from providers like Google and OpenAI. AI's Transformational Potential in Healthcare Michael explores one of the most promising AI applications: healthcare. Drawing from his primary care leadership background, he discusses how clinicians spend excessive time on documentation rather than patient care. Colin agrees that AI could revolutionize healthcare workflows, lightening administrative burdens and improving patient outcomes, though both acknowledge the importance of safeguarding security and privacy. Technology Behaviors: From Customer Service Hacks to Alexa in Schools Michael shares a practical tip about selecting different language options to reduce customer service wait times, then recalls a story of students misusing Alexa devices to order products without permission. It's a humorous yet telling example of how quickly technology becomes woven into daily life. Generational Differences in Adapting to Technology To close the episode, Michael and Colin reflect on how older generations developed strong problem-solving skills due to limited access to support in their early tech experiences, while younger generations depend more heavily on constant connectivity. They discuss the vulnerability of this dependency, highlighted by the recent Cloudflare outage. Colin emphasizes that while technology will keep evolving, adaptability and resilience will determine how well society keeps pace. Colin invites listeners to explore more of his work on his website and continue the conversation on the future of human capability in an AI-driven world. https://colinmbcooper.com/ Welcome to this episode, where we sit down with Colin Cooper—a globally recognized high-performance business expert, entrepreneur, author, and philanthropist with over two decades of experience working with clients across 38 countries and hundreds of industries. About Colin Cooper Colin began his journey in business at just 13 when he discovered computers, launching his first website by 15 and igniting a lifelong passion for innovation and entrepreneurship. Today, he's known for blending behavioural psychology, cutting-edge digital strategies, and AI technologies to create measurable, sustainable results for clients ranging from startups to Fortune 500 companies. As the founder and leader of several successful businesses, Colin brings firsthand knowledge of entrepreneurial challenges and opportunities, delivering future-proof strategies that enhance performance, customer experience, and profitability. His approach to high performance sits at the intersection of human behaviour, business strategy, and neuromarketing. Key Takeaways from Our Conversation - Colin's holistic philosophy on business growth, blending technology, behavioural science, and human-centred leadership. - Insights from his extensive experience consulting globally and launching his own ventures. - The role of natural horsemanship in developing leadership and emotional intelligence—focusing on trust, mutual respect, and clear communication. - How Colin's hands-on approach delivers guaranteed, measurable success and transforms both businesses and lives. - Philanthropy, education, and community service as core motivators behind Colin's career. What Colin Offers - Expert mentorship in leadership, business strategy, AI, and accelerated growth. - Digital and AI-driven marketing and operational strategies. - Personal guarantee of outstanding results—more time, less friction, higher net profits, and improved customer experiences for his clients. Connect with Colin If you're ready to elevate your performance and achieve transformative results in business and life, Colin encourages you to connect and explore collaborative possibilities. Tune in for actionable insights and inspiring stories from the front lines of global business leadership! https://colinmbcooper.com/about-me/  

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NIO ended 2025 up 26%, but the journey was wild. XPeng kept over-promising. OpenAI just became too big to fail. And $160 million in Nvidia chips got smuggled to China. This is my 2025 year-end review covering everything that mattered.Thank you for rocking with Courtside Financial all year. Happy New Year! Let me know what content you want to see in 2026.NIO'S 2025 FULL STORYNIO started at $4.55, peaked at $7.89 in October, closed at $5.50 - up 26% for the year.Key moments: February Onvo L60 image sparked 10% jump. March capital raise tanked stock to $3.75, but $4B Hong Kong offering funded growth. April brought Shen Fei as new Onvo president. July-August surge: L60 pre-sales drove 40% gain, third-gen ES8 launch added another 23% spike. September $1B raise initially dropped 9% but rallied 30% as investors recognized growth funding. Stock peaked October 2 at $7.89. November declined 24% as China subsidies ended. December 30 brought 2026 subsidy news, stock closed year at $5.50.Bottom line: NIO executed three-brand strategy, launched Onvo and Firefly, improved margins, raised capital twice. Now faces proving profitability at scale.XPENG'S OVER-PROMISING PROBLEMHe Xiaopeng announced "orders exceeded expectations" five times in 2025 - only MONA M03 delivered. New P7 peaked at 8,104 September units then crashed to 2,882 by November despite 40 units/hour capacity. G7 got 10,000 orders in 9 minutes but sales fell to 2,500-3,500 units while Tesla Model Y averaged 38,000.Service failures: 7,000+ owners complained after $5,000 chip upgrades caused system crashes. XPeng promised nationwide CNGP in 2022 - still only 5 cities despite customers paying $39,000 extra. Trust matters when markets get tough.OPENAI TOO BIG TO FAIL?SoftBank invested $41 billion in OpenAI on December 26, now owns 11%. Microsoft owns 27%. OpenAI valued $300-500 billion, not yet profitable. Committed to $1.4 trillion infrastructure spending. SoftBank sold entire $5.8B Nvidia stake to fund this.The question: Has OpenAI become too big to fail? If it fails, SoftBank, Microsoft, Oracle all hurt. Data centers, Nvidia's growth, entire AI buildout slows. System has to keep OpenAI alive because letting it fail craters too much. That's "too big to fail" - saw it with banks in 2008.OpenAI burns billions, revenue growing but so are costs. If AI hype slows, they have problems. But investors can't let them fail now, will keep funding betting revenue catches up. Risk is real when you build this big, this fast on this much investment.CHIP WARS: $160M SMUGGLING BUSTDOJ unsealed Operation Gatekeeper December 8. October 2024-May 2025: Smugglers moved $160M+ in Nvidia H100/H200 GPUs to China. These chips power AI, same ones OpenAI uses. Export-controlled, can't legally sell to China.How: Fake companies, falsified documents, relabeled chips as "Sandkyan," routed through multiple warehouses. May 28 raid in New Jersey caught three trucks picking up chips. Smugglers used group chat - when police arrived, chat said "dissolve group, delete everyone." Too late.Three arrested, one pleaded guilty facing 10 years. Estimates show 10,000 to hundreds of thousands chips smuggled in 2024.Why China needs them: Building domestic chips but years behind. 60%+ of Chinese AI models still run on Nvidia. Chinese companies pay 2x-5x premium, smugglers risk prison to supply.Trump twist: Same day as bust, Trump posted US would allow H200 exports if government gets 25% cut - exact chips being smuggled. Defense attorneys asked how they're national security threats when President approves export.Reality: Export controls don't work when incentives this strong. Continues until China develops competitive chips (years away), US loosens controls (Trump willing), or AI demand crashes (not happening).

Meta acquired Manus, a Singapore-based, Chinese-founded AI company, for $2 billion to integrate agentic AI technology into its platforms, aiming to automate business tasks and increase user engagement. Manus generates revenue through subscriptions and operates profitably. The acquisition is part of Meta's broader strategy to strengthen its AI capabilities and compete with companies like OpenAI and Google. The deal is subject to US regulatory review due to concerns over data privacy and Manus's Chinese origins.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Edition for Dec. 31. We recap a banner year for global markets, propelled in large part by the AI boom. Plus, OpenAI rewards its employees more than any major tech startup has in history. And Journal bureau chiefs preview the global flashpoints likely to dominate 2026. Luke Vargas hosts. Programming note: What's News is off tomorrow and will publish one show on Friday. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Plus: Many memecoins, which were hot a year ago, have crashed. And Hong Kong stocks log their best year since 2017. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

More on Manus, who they are, how they got positioned to sell, and more on what Meta wants to do with them. Open AI is paying employees more than anyone in history. The TriFold phone is a bit a dud. And, of course, the weekend longreads suggestion. How Meta's Newest Acquisition Target Got Around Worries Over Its Ties to China (WSJ) Manus: The Hands of AI Fate (Spyglass) Musk's xAI Buys Building to Expand ‘Colossus' Data Center (Bloomberg) OpenAI Is Paying Employees More Than Any Major Tech Startup in History (WSJ) AI Trade's Next Leg Is All About Tech's ‘Pick-and-Shovel' Stocks (Bloomberg) Samsung's First Trifold Phone Is Expensive and Half-Baked (Bloomberg) Weekend Longreads Suggestion: 2025 letter (Zhengdong Wang) Learn more about your ad choices. Visit megaphone.fm/adchoices

The Apple products we're most excited for in 2026, special announcements from both our hosts, and we answer listener questions!Ad-Free + Bonus EpisodesShow Notes via EmailWatch on YouTube!Join the CommunityEmail Us: podcast@primarytech.fm@stephenrobles on Threads@jasonaten on Threads------------------------------Sponsors:Antigravity A1 - Get the world's first 8K 360 drone! Free launch pad when you buy here!Copilot Money - Limited-time: Get 26% off your first year and a FREE month when you sign up at: try.copilot.money/primary------------------------------Links from the showCreative Effort | Jason Aten | SubstackStephen Robles | Shortcuts UniversityHow to Learn with Stephen RoblesSkull Shaver - Pitbull Gold PRO ★ Support this podcast ★

Aaron and Brian make some bold predictions for the 2026 Cloud and AI markets, as well as reviewing the biggest issues going into 2026.  SHOW: 989SHOW TRANSCRIPT: The Cloudcast #989 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTES:CLOUD & AI NEWS OF THE MONTH - NOV 2025 (show)CLOUD & AI NEWS OF THE MONTH - OCT 2025 (show)CLOUD & AI NEWS OF THE MONTH - SEPT 2025 (show)CLOUD & AI NEWS OF THE MONTH - AUG 2025 (show)CLOUD & AI NEWS OF THE MONTH - JUL 2025 (show)CLOUD & AI NEWS OF THE MONTH - JUN 2025 (show)CLOUD & AI NEWS OF THE MONTH - MAY 2025 (show)CLOUD & AI NEWS OF THE MONTH - APR 2025 (show)CLOUD & AI NEWS OF THE MONTH - MAR 2025 (show)2026 CLOUD + AI PREDICTIONS (AND BIG ISSUES TO REVIEW)OpenAI Revenues and Focus AreasNVIDIA customer profitabilityCompanies moving to GOOG TPUsEnterprise success beyond CoPilot/GeminiEnterprise data+model trainabilityEnterprise price hikesBroadcom, AMD, Groq - alternative HW optionsData Center buildoutsDoes AI spending shiftWhat is Agentic AI?Long term spending + short term refocusesPREDICTIONS:At least one big AI IPO in 2026, and it won't go well. (Aaron says Anthropic)People will question whether Sam Altman is the right person to lead OpenAIAI will be a central issue in the 2026 US elections, either about job losses or electricity pricesOne major LPU/TPU/dedicated inference chip will break through in 2026Azure will be the Number One Cloud… (Aaron has to keep it going)We will start to see a shift in the Enterprise from big models in the sky (1+trillion parameters) to dedicated, purpose-built models of 500M or less in size for efficiency and securityGemini will dominate the consumer/prosumer space, OpenAI will go through the trough of disillusionmentThe industry will shift to a base/instruct and a reasoning split of modelsAWS and Azure will double down on being a solutions provider instead of a primitive supplier for AI and infrastructureFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Hey everyone, welcome to the Alan Smithee Podcast with Scott Simmons, Katie Hinsen, and Michael Kammes. As 2025 comes to an end, the gang takes a look back at the year's big events and looks forward to 2026. This topic sparks a lively conversation about the evolving media landscape, cutting-edge tech, and economic shifts that will reshape the entertainment and production industries. And as always, there are some really cool things to get excited about! Show NotesNAB 2026 registration is openThe Walt Disney Company and OpenAI reach landmark agreement to bring beloved characters from across Disney's brands to SoraCinematographers Guild Shutters Nearly Century-Old MagazineAdobe and Runway Partner to Deliver the Next Generation of AI Video for Creators, Studios and Brands, and other partner modelsOne cool thing: KH: AI-robotic powered fisheries https://www.forbes.com/sites/andrewwatman/2024/10/02/introducing-seremoni-grade-fish-a-new-ai-powered-standard-in-high-quality-seafood/  https://shinkei.systems/SS: Netflix Games (and Amazon Luna) https://www.netflix.com/tudum/articles/new-netflix-games-play-on-tv-2025MK: Apple ml-sharp: https://apple.github.io/ml-sharp/

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM The episode explores how Chris Stegh sees organisations balancing AI adoption with data security, governance and practical risk management. It covers the real barriers to scaling AI, why perfect data hygiene is unrealistic, and how leaders can use tools like Copilot, Purview and agentic AI to create safe, high‑value use cases while improving long‑term resilience.

From creating SWE-bench in a Princeton basement to shipping CodeClash, SWE-bench Multimodal, and SWE-bench Multilingual, John Yang has spent the last year and a half watching his benchmark become the de facto standard for evaluating AI coding agents—trusted by Cognition (Devin), OpenAI, Anthropic, and every major lab racing to solve software engineering at scale. We caught up with John live at NeurIPS 2025 to dig into the state of code evals heading into 2026: why SWE-bench went from ignored (October 2023) to the industry standard after Devin's launch (and how Walden emailed him two weeks before the big reveal), how the benchmark evolved from Django-heavy to nine languages across 40 repos (JavaScript, Rust, Java, C, Ruby), why unit tests as verification are limiting and long-running agent tournaments might be the future (CodeClash: agents maintain codebases, compete in arenas, and iterate over multiple rounds), the proliferation of SWE-bench variants (SWE-bench Pro, SWE-bench Live, SWE-Efficiency, AlgoTune, SciCode) and how benchmark authors are now justifying their splits with curation techniques instead of just "more repos," why Tau-bench's "impossible tasks" controversy is actually a feature not a bug (intentionally including impossible tasks flags cheating), the tension between long autonomy (5-hour runs) vs. interactivity (Cognition's emphasis on fast back-and-forth), how Terminal-bench unlocked creativity by letting PhD students and non-coders design environments beyond GitHub issues and PRs, the academic data problem (companies like Cognition and Cursor have rich user interaction data, academics need user simulators or compelling products like LMArena to get similar signal), and his vision for CodeClash as a testbed for human-AI collaboration—freeze model capability, vary the collaboration setup (solo agent, multi-agent, human+agent), and measure how interaction patterns change as models climb the ladder from code completion to full codebase reasoning. We discuss: John's path: Princeton → SWE-bench (October 2023) → Stanford PhD with Diyi Yang and the Iris Group, focusing on code evals, human-AI collaboration, and long-running agent benchmarks The SWE-bench origin story: released October 2023, mostly ignored until Cognition's Devin launch kicked off the arms race (Walden emailed John two weeks before: "we have a good number") SWE-bench Verified: the curated, high-quality split that became the standard for serious evals SWE-bench Multimodal and Multilingual: nine languages (JavaScript, Rust, Java, C, Ruby) across 40 repos, moving beyond the Django-heavy original distribution The SWE-bench Pro controversy: independent authors used the "SWE-bench" name without John's blessing, but he's okay with it ("congrats to them, it's a great benchmark") CodeClash: John's new benchmark for long-horizon development—agents maintain their own codebases, edit and improve them each round, then compete in arenas (programming games like Halite, economic tasks like GDP optimization) SWE-Efficiency (Jeffrey Maugh, John's high school classmate): optimize code for speed without changing behavior (parallelization, SIMD operations) AlgoTune, SciCode, Terminal-bench, Tau-bench, SecBench, SRE-bench: the Cambrian explosion of code evals, each diving into different domains (security, SRE, science, user simulation) The Tau-bench "impossible tasks" debate: some tasks are underspecified or impossible, but John thinks that's actually a feature (flags cheating if you score above 75%) Cognition's research focus: codebase understanding (retrieval++), helping humans understand their own codebases, and automatic context engineering for LLMs (research sub-agents) The vision: CodeClash as a testbed for human-AI collaboration—vary the setup (solo agent, multi-agent, human+agent), freeze model capability, and measure how interaction changes as models improve — John Yang SWE-bench: https://www.swebench.com X: https://x.com/jyangballin Chapters 00:00:00 Introduction: John Yang on SWE-bench and Code Evaluations 00:00:31 SWE-bench Origins and Devon's Impact on the Coding Agent Arms Race 00:01:09 SWE-bench Ecosystem: Verified, Pro, Multimodal, and Multilingual Variants 00:02:17 Moving Beyond Django: Diversifying Code Evaluation Repositories 00:03:08 Code Clash: Long-Horizon Development Through Programming Tournaments 00:04:41 From Halite to Economic Value: Designing Competitive Coding Arenas 00:06:04 Ofir's Lab: SWE-ficiency, AlgoTune, and SciCode for Scientific Computing 00:07:52 The Benchmark Landscape: TAU-bench, Terminal-bench, and User Simulation 00:09:20 The Impossible Task Debate: Refusals, Ambiguity, and Benchmark Integrity 00:12:32 The Future of Code Evals: Long Autonomy vs Human-AI Collaboration 00:14:37 Call to Action: User Interaction Data and Codebase Understanding Research

From pre-training data curation to shipping GPT-4o, o1, o3, and now GPT-5 thinking and the shopping model, Josh McGrath has lived through the full arc of OpenAI's post-training evolution—from the PPO vs DPO debates of 2023 to today's RLVR era, where the real innovation isn't optimization methods but data quality, signal trust, and token efficiency. We sat down with Josh at NeurIPS 2025 to dig into the state of post-training heading into 2026: why RLHF and RLVR are both just policy gradient methods (the difference is the input data, not the math), how GRPO from DeepSeek Math was underappreciated as a shift toward more trustworthy reward signals (math answers you can verify vs. human preference you can't), why token efficiency matters more than wall-clock time (GPT-5 to 5.1 bumped evals and slashed tokens), how Codex has changed his workflow so much he feels "trapped" by 40-minute design sessions followed by 15-minute agent sprints, the infrastructure chaos of scaling RL ("way more moving parts than pre-training"), why long context will keep climbing but agents + graph walks might matter more than 10M-token windows, the shopping model as a test bed for interruptability and chain-of-thought transparency, why personality toggles (Anton vs Clippy) are a real differentiator users care about, and his thesis that the education system isn't producing enough people who can do both distributed systems and ML research—the exact skill set required to push the frontier when the bottleneck moves every few weeks. We discuss: Josh's path: pre-training data curation → post-training researcher at OpenAI, shipping GPT-4o, o1, o3, GPT-5 thinking, and the shopping model Why he switched from pre-training to post-training: "Do I want to make 3% compute efficiency wins, or change behavior by 40%?" The RL infrastructure challenge: way more moving parts than pre-training (tasks, grading setups, external partners), and why babysitting runs at 12:30am means jumping into unfamiliar code constantly How Codex has changed his workflow: 40-minute design sessions compressed into 15-minute agent sprints, and the strange "trapped" feeling of waiting for the agent to finish The RLHF vs RLVR debate: both are policy gradient methods, the real difference is data quality and signal trust (human preference vs. verifiable correctness) Why GRPO (from DeepSeek Math) was underappreciated: not just an optimization trick, but a shift toward reward signals you can actually trust (math answers over human vibes) The token efficiency revolution: GPT-5 to 5.1 bumped evals and slashed tokens, and why thinking in tokens (not wall-clock time) unlocks better tool-calling and agent workflows Personality toggles: Anton (tool, no warmth) vs Clippy (friendly, helpful), and why Josh uses custom instructions to make his model "just a tool" The router problem: having a router at the top (GPT-5 thinking vs non-thinking) and an implicit router (thinking effort slider) creates weird bumps, and why the abstractions will eventually merge Long context: climbing Graph Blocks evals, the dream of 10M+ token windows, and why agents + graph walks might matter more than raw context length Why the education system isn't producing enough people who can do both distributed systems and ML research, and why that's the bottleneck for frontier labs The 2026 vision: neither pre-training nor post-training is dead, we're in the fog of war, and the bottleneck will keep moving (so emotional stability helps) — Josh McGrath OpenAI: https://openai.com https://x.com/j_mcgraph Chapters 00:00:00 Introduction: Josh McGrath on Post-Training at OpenAI 00:04:37 The Shopping Model: Black Friday Launch and Interruptability 00:07:11 Model Personality and the Anton vs Clippy Divide 00:08:26 Beyond PPO vs DPO: The Data Quality Spectrum in RL 00:01:40 Infrastructure Challenges: Why Post-Training RL is Harder Than Pre-Training 00:13:12 Token Efficiency: The 2D Plot That Matters Most 00:03:45 Codex Max and the Flow Problem: 40 Minutes of Planning, 15 Minutes of Waiting 00:17:29 Long Context and Graph Blocks: Climbing Toward Perfect Context 00:21:23 The ML-Systems Hybrid: What's Hard to Hire For 00:24:50 Pre-Training Isn't Dead: Living Through Technological Revolution

*EXPLICIT SEXUAL ABUSE CONTENT: LISTENER DISCRETION ADVISED*Wow there is so much evil in the world. It can be hard to reckon with sometimes. It's important that we confront it anyway. The good news is that there are a lot more good people than there are evil ones. So don't despair; expose evil and purge it from your midst wherever you can. Want to publish a book? Check out my publisher https://hemisphericpress.com/Check out our ad free substack: https://hemisphericpress.substack.com/

Ron Westfall and Evan Feagans dig into Microsoft (MSFT). Evan covers the market worries around its OpenAI investment, while Ron takes a more positive spin on the partnership. Ron highlights their Azure revenue stream for 2026. Evan says it has a “very strong position” in corporate adoption for AI, which he believes is the next leg of growth for the sector.======= Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

This is a recap of the top 10 posts on Hacker News on December 30, 2025. This podcast was generated by wondercraft.ai (00:30): Netflix Open ContentOriginal post: https://news.ycombinator.com/item?id=46431560&utm_source=wondercraft_ai(01:51): Show HN: 22 GB of Hacker News in SQLiteOriginal post: https://news.ycombinator.com/item?id=46435308&utm_source=wondercraft_ai(03:12): Go away PythonOriginal post: https://news.ycombinator.com/item?id=46431028&utm_source=wondercraft_ai(04:33): Nicolas Guillou, French ICC judge sanctioned by the US and “debanked”Original post: https://news.ycombinator.com/item?id=46432057&utm_source=wondercraft_ai(05:54): Non-Zero-Sum GamesOriginal post: https://news.ycombinator.com/item?id=46432311&utm_source=wondercraft_ai(07:15): A faster heart for F-DroidOriginal post: https://news.ycombinator.com/item?id=46436409&utm_source=wondercraft_ai(08:36): OpenAI's cash burn will be one of the big bubble questions of 2026Original post: https://news.ycombinator.com/item?id=46438390&utm_source=wondercraft_ai(09:57): FediMeteo: A €4 FreeBSD VPS Became a Global Weather ServiceOriginal post: https://news.ycombinator.com/item?id=46436889&utm_source=wondercraft_ai(11:18): A Vulnerability in LibsodiumOriginal post: https://news.ycombinator.com/item?id=46435614&utm_source=wondercraft_ai(12:39): Times New American: A Tale of Two FontsOriginal post: https://news.ycombinator.com/item?id=46432862&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

This episode is sponsored by Your360 AI. Get 10% off through January 2026 at Your360.ai with code: INSIDE. Jason Howell and Jeff Jarvis unpack AI consolidation as Nvidia licenses Groq's fast inference chips and Meta buys Manus for $2 billion. Growing anti-AI sentiment over jobs, mental health, and politics emerges alongside OpenAI's high-stakes preparedness role. Finally, Jason and Jeff reflect on 2025's jagged progress and 2026's agent and surveillance shifts. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 3:27 - Nvidia, joining Big Tech deal spree, to license Groq technology, hire executives 4:50 - Explaining the Groq deal 15:11 - Meta just bought Manus, an AI startup everyone has been talking about 16:50 - 3 reasons buying Manus could give Meta a much-needed AI boost 27:41 - An Anti-A.I. Movement Is Coming. Which Party Will Lead It? Americans Hate AI. Which Party Will Benefit? 29:46 - Bernie Sanders criticizes AI as ‘the most consequential technology in humanity' 45:11 - ‘This will be a stressful job': Sam Altman offers $555k salary to fill most daunting role in AI 47:15 - * Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items 51:27 - * What Human-Horse Interactions may Teach us About Effective HumanAI Interactions 52:27 - * FakeParts: a New Family of AI-Generated DeepFakes 55:45 - Karpathy's year in review 58:37 - https://hbr.org/2025/12/the-hbr-charts-that-help-explain-2025 1:04:29 - Jason: 1. Love/Hate and Confusion (people don't know how they really feel about AI)2. General agents show potential but need a LOT of work3. AI for companionship 1:05:39 - Jason:1. How productive ARE we really?2. AI Shopping moves beyond the demo3. A budding surveillance problem Learn more about your ad choices. Visit megaphone.fm/adchoices

What do Sam Altman, Jensen Huang, Reid Hoffman, Marc Andreessen, and Elon Musk actually believe about the future of tech?In this episode of the Newcomer Podcast, we break down the quotes that defined tech in 2025. From OpenAI and Anthropic to venture capital, regulation, and Silicon Valley power, these are the moments where powerful people said the quiet part out loud.Rather than reacting to headlines, we look at the specific lines that revealed how AI companies think about compute and money, how venture capital is consolidating power, and why tech and politics are now inseparable.We cover:What Sam Altman and OpenAI revealed about scale and computeHow VC giants like Andreessen Horowitz and Lightspeed talk about power and accessWhy AI regulation looks very different in public than it does in privateThe quotes that mattered more than any keynote or earnings callThis is a year-in-review told through the words that shaped it.

Het was me het jaartje wel op de beurs. DeepSeek, handelsoorlog, herstel van de handelsoorlog... Beurzen beleefden een volatiel jaar, maar bleven toch overeind staan. Deze aflevering maken we de balans voor je op. En we kijken wat er komend jaar in het vat zit. Ook hoor je over het vertrek van een icoon. Warren Buffett staat na de jaarwisseling zijn stoeltje aan het hoofd van Berkshire Hathaway af. Moeten we hem gaan missen? We vertellen je hoe jij je als belegger ook steeds beter moet inlezen in geopolitiek. Want spanningen in Europa, het Midden-Oosten en zelfs tussen de VS en de rest van de wereld regeerden de beurs het afgelopen jaar. En we hebben nog wat laatste nieuws van het jaar. China laat nog even weten dat ze nog altijd ruzie hebben met Nederland als het om de chipindustrie gaat. En Tesla komt op de valreep nog met een slecht vooruitzicht, waar ze waarschijnlijk van hoopten dat het onder de radar door zou vliegen. Te gast: Nico Inberg van De AandeelhouderSee omnystudio.com/listener for privacy information.

Wir werfen einen Blick auf die Performance unserer Depots und überprüfen die Predictions aus dem letzten Jahr. Welche Thesen sind eingetreten, welche lagen daneben und welche waren schlicht zu früh? Dabei geht es um OpenAI, Meta, Microsoft, Apple und die Magnificent Seven, um KI-Hype versus Realität und um die Frage, wo tatsächlich Wert entstanden ist. Außerdem sprechen wir über Metas Übernahme von Manus für rund 2 Milliarden, die Entwicklung von Agenten-Startups, das weitgehend ausgebliebene Agentic Web und warum Inferenz inzwischen mehr Ressourcen verbraucht als Training. Wir ordnen IPOs, Robotik-Fortschritte, Temu, Energie als Engpassfaktor für KI sowie Europas Rolle im Tech-Wettbewerb ein. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro & Jahresrückblick (00:02:20) Meta kauft Manus für 2 Mrd. (00:05:45) Predictions Review Start (00:08:06) Peak OpenAI falsch (00:10:07) WhatsApp vs OpenAI (00:12:27) Meta AI enttäuscht (00:13:52) Microsoft Performance (00:15:50) Office 365 Wachstum (00:17:23) KI-Realität tritt ein (00:19:41) Agentic Web Nullnummer (00:21:52) AI macht Internet kaputt (00:23:02) E-Ink Reader Vision (00:24:38) Tech Produkte 2025 (00:27:25) Acast vs Spotify (00:30:03) Podcast Performance (00:31:37) DOGE & US-Haushalt (00:33:35) PayPal-Mafia Aktien (00:35:36) KI-Chance für Europa (00:39:10) Arbeitslosenquote Deutschland (00:40:12) New Work Definition (00:41:23) LinkedIn Follower Wette (00:42:05) Trade Republic Kritik (00:44:07) Podcast Zahlen 2025 (00:47:28) Newsletter Performance (00:49:12) Robotik & Agenten (00:54:20) China Tech-Reise Idee (00:55:00) IPO Jahr Review (00:57:13) Shein & Temu (00:59:09) Kampf um Energie (01:00:19) Inferenz vs Training (01:04:20) Magnificent Seven Performance (01:08:36) Euro-Dollar Impact (01:11:20) Alphabet beste Aktie (01:13:44) DAX outperformt USA (01:16:07) Edelmetalle Boom (01:18:16) Bitcoin enttäuscht (01:20:41) Bitcoin Reserve Irrsinn (01:23:06) RAM beste Investment (01:25:07) Portfolio Performance (01:29:29) Private Markets Erfolg (01:31:08) Persönliche Depots (01:32:48) Schuldenbremse aufgeweicht (01:33:50) Somali-Fraud Debatte (01:42:17) Steuerhinterziehung vs Sozialbetrug (01:47:06) Focus Clickbait (01:49:30) NGO-Hetze Shownotes Meta übernimmt KI-Startup Manus und gewinnt Millionen zahlender Nutzer hinzu - wsj.com Nick Shirley auf X - x.com Kältebus- linkedin.com Elon Musk auf X: "Etwa 20% des Bundesbudgets sind Betrug. - x.com

Alessandro Aresu, scrittore, analista geopolitico ed esperto di strategie e politiche pubbliche, è venuto su Actually per parlarci delle sue prediction per il 2026 tra la sfida delle Big Tech, il ruolo dell'Europa e l'incognita cinese. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI domineerde ook in 2025 het jaar, voor tech specifiek en eigenlijk mede de hele wereld. Wat waren de drie belangrijkste ontwikkelingen die voor grote veranderingen zorgden? Joe van Burik haalt ze nog even aan in gesprek met Iwan Verrips en Michiel Jurrjens in deze Tech Update. 3. Deepseek zorgt voor het Chinese 'Spoetnik-moment' van AI 2. ASML investeert 1,3 miljard euro in Mistral AI 1. Google ondermijnt OpenAI én NvidiaSee omnystudio.com/listener for privacy information.

Het zijn een paar van de rijkste en machtigste mannen van de wereld, de tech bro's. Namen als Musk, Zuckerberg, Elon Musk en Sam Altman bepalen niet alleen wat er in Silicon Valley gebeurt, maar drukken ook hun stempel op de politiek, economie én onze samenleving. Wat drijft deze mannen? Hoe ver reikt hun macht? En wie houdt hen eigenlijk nog tegen? Begin september, toen grote tech-CEO's op bezoek mochten komen bij president Trump, ging presentator Art Rooijakkers in gesprek met vijf kopstukken in BNR’s Big Five van de Techbro’s. Journalist Laurens Verhagen over de 'wolf in schaapskleren', Sam Altman OpenAI oprichter Sam Altman sprak zich in het verleden fel uit tegen de Amerikaanse president Donald Trump, maar inmiddels is de topman van het bedrijf achter ChatGPT een veelgeziene gast in het Witte Huis. Waar komt die ommezwaai vandaan? En in 2023 was Altman drie dagen lang de zeggenschap kwijt over zijn OpenAI. Maar de topman keerde razendsnel terug op zijn troon. Wat schuilde er achter deze kortstondige bestuurscrisis? Gasten in BNR's Big Five van de tech bro's: Wil je nog meer gesprekken terugluisteren met over de Amerikaanse tech bro's? Art Rooijakkers sprak eerder dit jaar ook met: -Joe van Burik, techjournalist bij BNR -Marleen Stikker, internetpionier en oprichter, directeur en bestuurder van Waag Futurelab -Ben van der Burg, techondernemer en programmamaker bij BNR -Boris Veldhuijzen van Zanten, internetondernemer en oprichter van The Next WebSee omnystudio.com/listener for privacy information.

John and Craig circle back on all the euphemisms and stock phrases that float around Hollywood. Using some favorite examples, they attempt to define and demystify the current industry-speak so everyone is looped in when we come up for air after the holidays. We also wrap-up 2025 with a look at Scriptnotes by the numbers, check-in on Disney's deal with OpenAI, follow up on that director who scammed Netflix out of $11 million, and answer listener questions on the guilds' involvement in video podcasts and reps who won't send out co-written scripts. In our bonus segment for premium members, John and Craig navigate how to deal with difficult collaborators. Links: How Disney's OpenAI Deal Changes Everything by Steven Zeitchik and Julian Sancton for The Hollywood Reporter Guilty! Director Who Scammed Netflix Out Of Millions Faces Decades Behind Bars by Dominic Patten for Deadline Writing Movies for Fun and Profit: How We Made a Billion Dollars at the Box Office and You Can, Too! by Robert Ben Garant & Thomas Lennon Down to Puck: Why Women Are Going Wild for 'Heated Rivalry' by Seth Abramovitch for The Hollywood Reporter Search Engine annual meeting Order a signed copy of the Scriptnotes Book! Charli XCX's Substack Trailer for Divinity by Larian Studios Get your copy of the Scriptnotes book! Get a Scriptnotes T-shirt! Check out the Inneresting Newsletter Become a Scriptnotes Premium member, or gift a subscription (now with fewer emails!) Subscribe to Scriptnotes on YouTube Scriptnotes on Instagram John August on Bluesky and Instagram Outro by Nick Moore (send us yours!) Scriptnotes is produced by Drew Marquardt and edited by Matthew Chilelli. Email us at ask@johnaugust.com You can download the episode here. (46:41) Scriptnotes: A Book About Screenwriting and Things That Are Interesting to Screenwriters (Unabridged)

As 2025 comes to a close, Jim Hill flies solo on this Drew-free edition of Fine Tooning to take stock of one of the biggest, strangest, and most consequential years the animation industry has seen in decades. From record-shattering box office runs and surprise streaming hits to uncomfortable conversations about AI and the future of creative labor, this episode connects the dots between where animation has been and where it appears to be heading next. NEWS • Why Disney's $1 billion investment in OpenAI has the animation world divided and how a Jerry Beck-hosted editorial argues that Walt Disney might have embraced AI himself • A year-end box office check-in including Zootopia 2, Avatar: Fire & Ash, and Angel Studios' faith-based animated feature David • Netflix confirms KPop Demon Hunters has been watched more than 500 million times worldwide and what that means for its sequel and merchandising future • Major release-date shakeups for The Legend of Aang: The Last Airbender and Pixar's Gatto and why March releases are no longer considered box office poison • A rundown of upcoming animation books, UPA retrospectives, and why supporting animation historians matters more than ever HOSTS • Jim Hill - IG: @JimHillMedia | X: @JimHillMedia | Website: JimHillMedia.com • Drew Taylor - IG: @DrewTailored | X: @DrewTailored | Website: drewtaylor.work FOLLOW • Facebook: JimHillMediaNews • Instagram: JimHillMedia • TikTok: JimHillMedia SUPPORT Support the show and access bonus episodes and additional content at Patreon.com/JimHillMedia. PRODUCTION CREDITS Edited by Dave Grey Produced by Eric Hersey - Strong Minded Agency SPONSOR Unlocked Magic helps you save big on Walt Disney World and Universal Orlando tickets, sometimes up to 12 percent off. Unlocked Magic is run by the same team behind DVC Rental Store and DVC Resale Market, making it easy to plan your 2026 Central Florida vacation. Pick your dates, grab your tickets, and go. Visit UnlockedMagic.com and be sure to tell them Drew and Jim sent you. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. Learn more about your ad choices. Visit megaphone.fm/adchoices

Imagine a mind that can solve a Rubik's Cube in 17 seconds. A mind that contributed to the development of OpenAI. A mind that directed AI for Elon Musk at Tesla. A mind named one of Time Magazine's Top 100 in artificial intelligence. Now imagine that same mind encountering recent, almost "alien" advances in programming—so startling they prompted a public admission: "I have never felt so behind." If someone like that can't keep up, what does it mean for the rest of us? We're entering a world we may not soon recognize. For Cal, that realization leads to a simple conclusion: This New Year isn't about racing machines—it's about reclaiming what they can't replace.

Send Bidemi a Text Message!In this episode, host Bidemi Ologunde traces three fast-moving signals from the previous week: holiday-week violence in northwestern Nigeria, a surprise diplomatic recognition reshaping the Horn of Africa, and AI's infrastructure arms race. What happens when billion-dollar tech bets collide with tightening regulation? How does one diplomatic recognition redraw regional alliances?Support for The Bid Picture Podcast comes from Whole Foods Market. A healthier relationship with tech starts with taking care of the basics—like eating well—so your body and brain aren't running on empty. Whole Foods Market makes it easier to stock your kitchen with ingredients you feel good about, from fresh produce to pantry staples, so you can spend less time scrolling and more time actually living. If you're asked how you heard about Whole Foods Market, tell them The Bid Picture Podcast. Learn more at wholefoodsmarket.com.Support for The Bid Picture Podcast comes from Skylight Calendar—the family-friendly digital calendar that helps everyone stay on the same page. With a quick setup and an easy-to-read display in a shared space, Skylight makes it simple to keep track of school events, practices, appointments, and family plans—so mornings run smoother and everyone knows what's next. Make your home the place where schedules finally make sense. Skylight Calendar—because family life works better when it's shared. If you're asked how you heard about Skylight Calendar, tell them The Bid Picture Podcast. Learn more at myskylight.com.Support the show

David Faber and Sara Eisen discussed precious metals rebounding from Monday's sell-off — which resulted in the worst day for silver in almost five years. AI in the spotlight: Sources told David that SoftBank has completed its $40 billion investment commitment to OpenAI. Meta has agreed to acquire Singapore-based AI startup Manus. The anchors reacted to President Trump's harsh words for Fed Chair Powell. 2026 outlook: Semiconductors and the AI trade, commercial real estate, media and the battle for Warner Bros. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sara Eisen and David Faber began the hour with a look at some defining economic charts of the year before breaking down the bull case for stocks with one longtime market veteran. Plus: Meta making a deeper push into AI agents with a new acquisition reportedly worth billions... hear key analysis from D.A. Davidson's Head of Internet Research - and the latest on Softbank fully funding its $40B commitment to OpenAI. Also in focus: Guggenheim's top retail picks for the new year - including some names you might not expect... Key details from fresh housing data just crossing... and a deep-dive on a new AI start-up hitting the restaurant scene. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

SoftBank Group has completed its $40 billion investment in OpenAI, Samsung TVs to integrate Google Photos starting in 2026, and China mandates 50% domestic chip equipment in facilities expansion. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. IfContinue reading "Meta Acquires Singaporean AI Startup Manus for $2 Billion – DTH"

MRKT Matrix - Tuesday, December 30th Stocks notch 3-day losing streak (CNBC) Fed minutes show officials were in tight split over December rate cut (CNBC) Home prices are getting slightly more affordable, but down payments are still holding buyers back (CNBC) AI Trade's Next Leg Is All About Tech's ‘Pick-and-Shovel' Stocks (Bloomberg) Caterpillar's Surging Stock Is Fueled by AI, Not Yellow Excavators (WSJ) SoftBank has fully funded $40 billion investment in OpenAI, sources tell CNBC (CNBC) Tesla Broadcasts Downbeat Sales Estimates in Unusual Move (Bloomberg) Emboldened Activist Investors Are Circling U.S. Banks (WSJ) --- Subscribe to our newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://riskreversalmedia.beehiiv.com/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ MRKT Matrix by RiskReversal Media is a daily AI powered podcast bringing you the top stories moving financial markets Story curation by RiskReversal, scripts by Perplexity Pro, voice by ElevenLabs

In this episode of Music Ed Tech Talk, Robby sits down with Theresa Hoover to discuss AI guidance in music education, creativity in the classroom, task management for educators, and what's new in their professional lives. Topics include NAfME guidance on AI, next-gen Siri, automation workflows, and listener questions about sustaining creativity in a distracted world. Support Music Ed Tech Talk Become a Patron Buy Me a Coffee Show Notes & Links Intro & Community 00:00:00 – Hello and welcome 00:00:30 – Thanks to new Patreon supporter, Drew Ross News, Blogs, and AI Updates 00:01:23 – Theresa's newest blog on COPPA and FERPA** - https://offthebeatenpathinmusic.com/play-it-safe/ Affinity creative apps 00:10:30 – What's New in AI Next-gen Siri (expected 2026) Tim Cook provides update on next-gen Siri development Sky AI and the impact of OpenAI acquiring Sky AI Guidance in Music Education 00:16:15 – Released guidance in the music education world Yamaha: AI in the Music Classroom NAfME: Guiding Principles, Frameworks, and Applications for AI in Music Education Classroom policy framing Alignment language for administrators Practical classroom use cases Moises AI Studio — AI-generated, tempo- and harmony-aware accompaniment stems for student compositions and arranging Higher Ed & Classroom Practice 00:24:15 – What is emerging from Theresa's undergraduate classes? Automation Station 00:26:34 – Automation Station & task management Concert planning task templates Things 3: Organize Your Life Ask METT 00:32:21 – Listener question from Kate Bateman How do you manage teaching creativity and having opinions about music in a world where kids won't concentrate on anything for longer than a minute? Reference: Drive by Daniel Pink 00:41:51 – What is music for for kids? What's Up With Theresa 00:45:18 – New job update Wrapping up the doctorate 00:52:08 – Is it finally time for forScore and an Apple Pencil? What's Up With Robby 01:00:14 – New OS and first impressions of Apple Vision Pro The "wow factor" is actually wow Music Picks 01:13:38 Robby: The New Tango – Gary Burton & Astor Piazzolla Theresa: Afterglow – Saint Motel (Oct. 2025) Wrap-Up 01:17:39 – Where to find Theresa TheresaHoover.com Pass the Baton - https://passthebatonbook.com/pass-the-baton-podcast/ Book: Empowering Ensembles with Technology 01:20:20 – Farewell… plus Q&A on Theresa's dissertation on music teachers and educational podcasts Chapters 00:00:00 – Welcome & Intro 00:00:30 – Patreon Shout-Out 00:01:23 – COPPA, FERPA, and Blogs 00:10:30 – What's New in AI 00:16:15 – AI Guidance in Music Education 00:24:15 – Undergraduate Teaching Insights 00:26:34 – Automation Station 00:32:21 – Ask METT 00:41:51 – What Is Music For? 00:45:18 – What's Up With Theresa 00:52:08 – forScore & Apple Pencil 01:00:14 – What's Up With Robby 01:13:38 – Music Picks 01:20:20 – Final Q&A & Farewell Where to Find Us Robby: robbyburns.com Theresa: theresahoover.com

As 2025 comes to a close, Jim Hill flies solo on this Drew-free edition of Fine Tooning to take stock of one of the biggest, strangest, and most consequential years the animation industry has seen in decades. From record-shattering box office runs and surprise streaming hits to uncomfortable conversations about AI and the future of creative labor, this episode connects the dots between where animation has been and where it appears to be heading next. NEWS • Why Disney's $1 billion investment in OpenAI has the animation world divided and how a Jerry Beck-hosted editorial argues that Walt Disney might have embraced AI himself • A year-end box office check-in including Zootopia 2, Avatar: Fire & Ash, and Angel Studios' faith-based animated feature David • Netflix confirms KPop Demon Hunters has been watched more than 500 million times worldwide and what that means for its sequel and merchandising future • Major release-date shakeups for The Legend of Aang: The Last Airbender and Pixar's Gatto and why March releases are no longer considered box office poison • A rundown of upcoming animation books, UPA retrospectives, and why supporting animation historians matters more than ever HOSTS • Jim Hill - IG: @JimHillMedia | X: @JimHillMedia | Website: JimHillMedia.com • Drew Taylor - IG: @DrewTailored | X: @DrewTailored | Website: drewtaylor.work FOLLOW • Facebook: JimHillMediaNews • Instagram: JimHillMedia • TikTok: JimHillMedia SUPPORT Support the show and access bonus episodes and additional content at Patreon.com/JimHillMedia. PRODUCTION CREDITS Edited by Dave Grey Produced by Eric Hersey - Strong Minded Agency SPONSOR Unlocked Magic helps you save big on Walt Disney World and Universal Orlando tickets, sometimes up to 12 percent off. Unlocked Magic is run by the same team behind DVC Rental Store and DVC Resale Market, making it easy to plan your 2026 Central Florida vacation. Pick your dates, grab your tickets, and go. Visit UnlockedMagic.com and be sure to tell them Drew and Jim sent you. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. Learn more about your ad choices. Visit megaphone.fm/adchoices

From Berkeley robotics and OpenAI's 2017 Dota-era internship to shipping RL breakthroughs on GPT-4o, o1, and o3, and now leading model development at Cursor, Ashvin Nair has done it all. We caught up with Ashvin at NeurIPS 2025 to dig into the inside story of OpenAI's reasoning team (spoiler: it went from a dozen people to 300+), why IOI Gold felt reachable in 2022 but somehow didn't change the world when o1 actually achieved it, how RL doesn't generalize beyond the training distribution (and why that means you need to bring economically useful tasks into distribution by co-designing products and models), the deeper lessons from the RL research era (2017–2022) and why most of it didn't pan out because the community overfitted to benchmarks, how Cursor is uniquely positioned to do continual learning at scale with policy updates every two hours and product-model co-design that keeps engineers in the loop instead of context-switching into ADHD hell, and his bet that the next paradigm shift is continual learning with infinite memory—where models experience something once (a bug, a mistake, a user pattern) and never forget it, storing millions of deployment tokens in weights without overloading capacity. We discuss: Ashvin's path: Berkeley robotics PhD → OpenAI 2017 intern (Dota era) → o1/o3 reasoning team → Cursor ML lead in three months Why robotics people are the most grounded at NeurIPS (they work with the real world) and simulation people are the most unhinged (Lex Fridman's take) The IOI Gold paradox: "If you told me we'd achieve IOI Gold in 2022, I'd assume we could all go on vacation—AI solved, no point working anymore. But life is still the same." The RL research era (2017–2022) and why most of it didn't pan out: overfitting to benchmarks, too many implicit knobs to tune, and the community rewarding complex ideas over simple ones that generalize Inside the o1 origin story: a dozen people, conviction from Ilya and Jakob Pachocki that RL would work, small-scale prototypes producing "surprisingly accurate reasoning traces" on math, and first-principles belief that scaled The reasoning team grew from ~12 to 300+ people as o1 became a product and safety, tooling, and deployment scaled up Why Cursor is uniquely positioned for continual learning: policy updates every two hours (online RL on tab), product and ML sitting next to each other, and the entire software engineering workflow (code, logs, debugging, DataDog) living in the product Composer as the start of product-model co-design: smart enough to use, fast enough to stay in the loop, and built by a 20–25 person ML team with high-taste co-founders who code daily The next paradigm shift: continual learning with infinite memory—models that experience something once (a bug, a user mistake) and store it in weights forever, learning from millions of deployment tokens without overloading capacity (trillions of pretraining tokens = plenty of room) Why off-policy RL is unstable (Ashvin's favorite interview question) and why Cursor does two-day work trials instead of whiteboard interviews The vision: automate software engineering as a process (not just answering prompts), co-design products so the entire workflow (write code, check logs, debug, iterate) is in-distribution for RL, and make models that never make the same mistake twice — Ashvin Nair Cursor: https://cursor.com X: https://x.com/ashvinnair_ Chapters 00:00:00 Introduction: From Robotics to Cursor via OpenAI 00:01:58 The Robotics to LLM Agent Transition: Why Code Won 00:09:11 RL Research Winter and Academic Overfitting 00:11:45 The Scaling Era and Moving Goalposts: IOI Gold Doesn't Mean AGI 00:21:30 OpenAI's Reasoning Journey: From Codex to O1 00:20:03 The Blip: Thanksgiving 2023 and OpenAI Governance 00:22:39 RL for Reasoning: The O-Series Conviction and Scaling 00:25:47 O1 to O3: Smooth Internal Progress vs External Hype Cycles 00:33:07 Why Cursor: Co-Designing Products and Models for Real Work 00:34:14 Composer and the Future: Online Learning Every Two Hours 00:35:15 Continual Learning: The Missing Paradigm Shift 00:44:00 Hiring at Cursor and Why Off-Policy RL is Unstable

This is a special episode, highlighting a session from ELC Annual 2025! OpenAI evolved from a pure research lab into the fastest-growing product in history, scaling from 100 million to 700 million weekly users in record time. In this episode, we deconstruct the organizational design choices and cultural bets that enabled this unprecedented velocity. We explore what it means to hire "extreme generalists," how AI-native interns are redefining productivity, and the real-time trade-offs made during the world's largest product launches. Featuring Sulman Choudhry (Head of ChatGPT Engineering) and Samir Ahmed (Technical Lead), moderated by Lawrence Bruhmeller (Eng Management @ Sigma). ABOUT SULMAN CHOUDHRYSulman leads ChatGPT Engineering at OpenAI, driving the development and scaling of one of the world's most impactful AI products. He pushes the boundaries of innovation by turning cutting‑edge research into practical, accessible tools that transform how people interact with technology. Previously at Meta, Sulman founded and scaled Instagram Reels, IGTV, and Instagram Labs, and helped lead the early development of Instagram Stories.He also brought MetaAI to Instagram and Messenger, integrating generative AI into experiences used by billions. Earlier in his career, Sulman was on the founding team that built and launched UberEATS from the ground up, helping turn it into a global food delivery platform. With a track record of marrying technical vision, product strategy, and large‑scale execution, Sulman focuses on building products that meaningfully change how people live, work, and connect.ABOUT SAMIR AHMEDSamir is the Technical Lead for ChatGPT at OpenAI, where he currently leads the Personalization and Memory efforts to scale adaptive, useful, and human-centered product experiences to over 700 million users. He works broadly across the OpenAI stack—including mobile, web, services, systems, inference, and product research infrastructure.Previously, Samir spent nine years at Snap, working across Ads, AR, Content, and Growth. He led some of the company's most critical technical initiatives, including founding and scaling the machine learning platform that powered nearly all Ads, Content, and AR workloads, handling tens of billions of requests and trillions of inferences daily.ABOUT LAWRENCE BRUHMELLERLawrence Bruhmuller has over 20 years of experience in engineering management, much of it as an overall head of engineering. Previous roles include CTO/VPE roles at Great Expectations, Pave, Optimizely, and WeWork. He is currently leading the core query compiler and serving teams at Sigma Computing, the industry leading business analytics company.Lawrence is passionate about the intersection of engineering management and the growth stage of startups. He has written extensively on engineering leadership (https://lbruhmuller.medium.com/), including how to best evolve and mature engineering organizations before, during and after these growth phases. He enjoys advising and mentoring other engineering leaders in his spare time.Lawrence holds a Bachelors and Masters in Mathematics and Engineering from Harvey Mudd College. He lives in Oakland, California, with his wife and their three daughters. This episode is brought to you by Span!Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…Go to Span.app to learn more! SHOW NOTES:From research lab to record-breaking product: Navigating the fastest growth in history (4:03)Unpredictable scaling: Handling growth spurts of one million users every hour (5:20)Cross-stack collaboration: How Android, systems, and GPU engineers solve crises together (7:06)The magic of trade-offs: Aligning the team on outcomes like service uptime vs. broad availability (7:57)Why throwing models "over the wall" failed and how OpenAI structures virtual teams (11:17)Lessons from OpenAI's first intern class: Why AI-native new grads are crushing expectations (13:41)Non-hierarchical culture: Using the "Member of Technical Staff" title to blur the lines of expertise (15:37)AI-native engineering: When massive code generation starts breaking traditional CI/CD systems (16:21)Asynchronous workflows: Using coding agents to reduce two-hour investigations to 15 minutes (17:35)The mindset shift: How rapid model improvements changed how leaders audit and trust code (19:00)Predicting success: "Vibes-based" decision making and iterative low-key research previews (20:43)Hiring for high variance: Why unconventional backgrounds lead to high-potential engineering hires (22:09) LINKS AND RESOURCESLink to the video for this sessionLink to all ELC Annual 2025 sessions This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of The Metrics Brothers, Ray Rike and Dave Kellogg unpack Benedict Evans' latest landmark presentation, AI Eats the World, and explore why this moment may rival or even surpass the original “software is eating the world” era. Drawing parallels to Marc Andreessen's 2011 thesis, they examine how AI is no longer just another platform shift, but a force capable of reshaping labor, capital allocation, and entire industries at once.The conversation spans the explosive rise in AI infrastructure spending, from hyperscaler capex surging past $400B to the growing strain on power, compute, and supply chains. Ray and Dave discuss why this moment feels different from past tech cycles, not just because of scale, but because AI directly targets labor, which represents more than half of global GDP. They explore whether AI is creating real moats or accelerating commoditization, and why many enterprises are still stuck in experimentation rather than true deployment.The episode also dives into historical parallels from elevators and telephone operators to cloud computing highlighting how software enabled automation always feels threatening before it quietly becomes invisible. Along the way, they unpack the strategic tension facing AI leaders: go down the stack for scale or up the stack for value capture. With insights on hyperscalers, OpenAI, Oracle, and the economics of AI adoption, this episode challenges leaders to rethink how value will actually be created and captured in the age of AI.If you want to understand what's hype, what's durable, and why “AI eating the world” may be the most consequential shift since the internet itself, this episode is a must-listen.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dean Quiambao says the mega-IPOs next year will dominate investor focus, forcing smaller companies to get creative. “You've got to have strong growth, you've got to have path to profitability.” He thinks 2026 could be the “breakout” for IPOs after a 2025 “rebound.” Companies that could IPO in 2026 include OpenAI, SpaceX, Kraken, Anthropic, and more popular names.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Au programme :Retour sur les tendances de septembre (disponible pour tous)Les trois grandes tendances de décembre (disponible pour tous)Les trois tendances émergeantes de décembre (disponible pour tous)(la suite de l'épisode sur Patreon !)Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 647 – ETAT DES LIEUX – Décembre 2025---Liens :

OpenAI is hiring for a new role: "Head of Preparedness". CEO Sam Altman describes the role as "very stressful". What will the role invovle? And leaks have hinted at a new iPhone having folding capabilities. It's Tech Tuesday and Mashable Tech Editor Tim Werth joined Arizona's Morning News to break down these stories. 

1. “Robotaxis got Promoted”: Waymo, Tesla, and Zoox. Next up? Redeye robo rides.2. “IPO-palooza”: SpaceX, OpenAI, and Kim's Skims IPOs3. “Welcome to Nike Hotel”: To save the brand, Nike should “just do” a resort.4. “Dupe-partment Stores”: A department store full of just dupes.5. “Trillions”: That's our word of the year.But let us know what you think in the comments. Happy New Year — And celebrate the wins!— Nick & Jack————————————————Buy tickets to The IPO Tour (our In-Person Offering) TODAYAustin, TX (2/25): https://tickets.austintheatre.org/13274/13275 Arlington, VA (3/11): https://www.arlingtondrafthouse.com/shows/341317 New York, NY (4/8): https://www.ticketmaster.com/event/0000637AE43ED0C2Los Angeles, CA (6/3): https://www.squadup.com/events/the-best-one-yet-liveGet your TBOY Yeti Doll gift here: https://tboypod.com/shop/product/economic-support-yeti-dollNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A $20 billion AI deal while you were away?

As 2025 comes to a close, consumer AI is entering a new phase. A small number of products now dominate everyday use, multimodal models have unlocked entirely new creative workflows, and the big labs have pushed aggressively into consumer experiences. At the same time, it is becoming clearer which ideas actually changed user behavior and which ones did not.In this episode, a16z consumer investors Anish Acharya, Olivia Moore, Justine Moore, and Bryan Kim look back at the biggest product and model shifts of 2025 and then look ahead to what 2026 may bring. They discuss why consumer AI appears to be trending toward winner-take-most, how subtle product design choices can matter more than raw model quality, and why templates, multimodality, and distribution are shaping the next wave of consumer products.Where do startups still have room to win? How will the role of the big labs continue to change? And what will it actually take for consumer AI apps to break out at scale in 2026? Resources:Follow Anish: https://x.com/illscienceFollow Olivia: https://x.com/omooretweetsFollow Justine: https://x.com/venturetwinsFollow Bryan: https://x.com/kirbyman01 Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.