Podcasts about compute

My guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing

Jonathan Ross is the Founder & CEO of Groq, the AI chip company redefining inference at scale. Under his leadership, Groq has raised over $3B from top investors. The company has reached a valuation of nearly $7B, positioning itself as one of NVIDIA's most formidable challengers. Previously at Google, Jonathan led the team that built the first Tensor Processing Unit (TPU), making him one of the leading architects of modern AI hardware. AGENDA: 00:00 The Future of AI and Compute 05:07 Why the Hyperscalers Have to Keep Spending Recklessly on AI 12:49 Why OpenAI and Anthropic Will Have to Build Their Own Chips 19:47 OpenAI and Anthropic Will be $5BN Companies: The Bull Case 29:50 Why China is Behind the US in AI and Deepseek is More Expensive to Run 33:55 How Europe Could Compete in AI and Why the US is More Risk Averse Than Europe 42:51 Why AI Will Lead to Too Many Not Too Few Jobs 43:19 Deflationary Pressures and New Job Markets 45:51 The Future of Vibe Coding 47:14 Why AI Companies Should Strive to Have Low Margins 49:31 Why We Have to Have Nuclear Energy and How to Bring it Back 56:55 How Permits are Ruining the Potential of AI 01:03:58 Why OpenAI and Anthropic are so Undervalued 01:16:53 Quickfire: Biggest Fear, Nvidia: $10TRN, Zuck Buying AI: Work or Not  

In today's Tech3 from Moneycontrol, we break down the half-trillion dollar AI compute arms race as tech giants lock in chips, data centres, and cloud deals. We look at Jaguar Land Rover's major cyberattack that has put Tata Consultancy Services under intense scrutiny. Plus, India's CERT-In warns of “Shai Hulud,” a Dune-inspired malware campaign targeting startups and developers, and foodtech startup Curefoods secures a Rs 160 crore pre-IPO round from Binny Bansal.

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, Brad and Clark Tang sit down with Jensen Huang, founder & CEO of NVIDIA, for a sweeping deep dive on the new era of AI. From the $100B partnership with OpenAI to the rise of AI factories, sovereign AI, and protecting the American Dream—this episode explores how accelerated computing is reshaping the global economy. NVIDIA, OpenAI, hyperscalers, and global infrastructure: the AI race is on. Don't miss this must-listen BG2.(00:00) Intro(0:37) The Year in AI Recap(3:24) OpenAI Stargate & Nvidia Investment(8:41) Nvidia Accelerated Compute TAM(18:55) $NVDA ROI – Glut or Bubble?(27:45) Roundtripping Claims(31:10) Annual Release Cadence & Extreme Co-design(40:45) Future of ASICs & Economics(53:47) Nvidia's Competitive Moat(56:55) Elon, X.ai & Colossus 2(58:47) Sovereign AI & Global Buildout(1:02:21) The AI Administration(1:07:43) Chinese AI Chips & NVIDIA's Role(1:17:24) H-1B, Talent, & the American Dream(1:29:33) Invest America & American Right to Rise(1:37:40) The Future AheadProduced by Dan ShevchukMusic by Yung SpielbergAvailable on Apple, Spotify, www.bg2pod.comFollow:Brad Gerstner @altcap https://x.com/altcapBill Gurley @bgurley https://x.com/bgurleyBG2 Pod @bg2pod https://x.com/BG2Pod

What comes after vibe coding? Maybe vibe researching.OpenAI's Chief Scientist, Jakub Pachocki, and Chief Research Officer, Mark Chen, join a16z general partners Anjney Midha and Sarah Wang to go deep on GPT-5—how they fused fast replies with long-horizon reasoning, how they measure progress once benchmarks saturate, and why reinforcement learning keeps surprising skeptics.They explore agentic systems (and their stability tradeoffs), coding models that change how software gets made, and the bigger bet: an automated researcher that can generate new ideas with real economic impact. Plus: how they prioritize compute, hire “cave-dweller” talent, protect fundamental research inside a product company, and keep pace without chasing every shiny demo. Timecodes: 0:00  Introduction & Goals of Automated Researcher0:43  The Evolution of Reasoning in AI1:46  Evaluations: From Benchmarks to Real-World Impact5:15  Surprising Capabilities of GPT-56:56  The Research Roadmap: Next 1, 2, 5 Years7:46  Long-Horizon Agency & Model Memory9:44  Reasoning in Open-Ended Domains11:18  The Role and Progress of Reinforcement Learning13:14  Reward Modeling & Best Practices14:21  The New Codex: Real-World Coding16:20  AI vs. Human Coding: The New Default20:07  What Makes a Great Researcher?21:14  Persistence, Conviction, and Problem Selection26:00  Building and Sustaining a Winning Research Culture31:45  Balancing Product and Fundamental Research39:00  The Importance of Compute and Physical Constraints45:50  Maintaining Speed and Learning at Scale47:18  Trust and Collaboration at OpenAI Resources: Find Jakub on X: https://x.com/merettmFind Mark on X: https://x.com/markchen90Find Sarah on X: https://x.com/sarahdingwangFind Anjney on X: https://x.com/AnjneyMidha 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 Podcast on SpotifyListen to the a16z Podcast 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.

What's the role of semiconductors—and the companies that make them—in powering human progress? What does it look like to innovate thoughtfully in a landscape where the demand for power may be higher than the supply? With AI evolving faster and faster, how can we keep up?  Advanced Micro Devices (AMD) CEO Lisa Su joins the show to talk about hardware, global manufacturing, and risk-taking. She shares what she has learned leading AMD from near-bankruptcy a decade ago to its current standing as one of the world's leading chipmakers. Lisa also weighs in on geopolitics, the AI arms race, startups, what makes her want to hire someone, and AI's enormous potential to advance healthcare for humankind.  For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/  Topics: 2:46 - Hellos and intros 2:54 - The origins of Lisa's interest in hardware 4:19 - Deciding to bet on chips 6:06 - MIT and early engineering days 6:28 - Google Gemini defines "bunny suits" 8:25 - Differences between AMD and NVIDIA 10:25 - AI's potential to improve healthcare 16:27 - Driving AMDs comeback 19:40 - Making patience and long-term vision a company-wide virtue 22:06 - Vision for the next 10 years 24:59 - Midroll 25:16 - The impact of geopolitics on AMD 28:38 - Environmental implications of chip production   30:41 - Major hardware innovations in the start-up space 32:14 - AI driving coding acceleration 33:47 - How AMD encourages employees to leverage AI 35:22 - Identifying and empowering talent   39:08 - Rapid-fire questions Select mentions:  Liquid.ai The Worlds I See by Dr. Fei-Fei Li  Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Each episode seeks to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

Jason Kwon is the Chief Strategy Officer at OpenAI.In this episode of World of DaaS, Jason and Auren discuss:Compute bottlenecks and power infrastructure challengesUser expectations vs AI capabilitiesGeopolitical competition in AI developmentBringing top AI talent to the United StatesLooking for more tech, data and venture capital intel? Head to worldofdaas.com for our podcast, newsletter and events, and follow us on X @worldofdaas.You can find Auren Hoffman on X at @auren and Jason Kwon on X at @jasonkwon.Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

Today's “cloud” is concentrated in a handful of mega data centers. Acurast is flipping that model by turning smartphones into a confidential, verifiable compute network—made for Web3 and AI. Founder Dr. Christian Killer explains how they verify hardware, encrypt workloads end-to-end, and deliver trust-minimized compute for price feeds, bridging, LLM inference, web scraping, residential proxy/VPN, and even distributed agent indexing (MIT NANDA).Timestamps[00:00] Intro & the problem: compute is centralized in ~5 companies[00:02] Christian's path (gaming → Bitcoin Lightning NFC → Web3 infra)[00:04] Why decentralize compute? Cost, control, and data misuse risk[00:05] Phones vs servers: performance-per-watt, economics, upcycling[00:07] The hard bit: verifying hardware + trusted execution environments[00:08] How Acurast works (supply/demand, encrypted jobs, scheduling)[00:09] Web3 demand: price feeds & bridging done trust-minimized[00:10] Web2 demand: scraping + residential IP/VPN for AI startups[00:11] AI focus: inference today, confidential LLMs, agent guardrails[00:13] “Agentic AI” hype vs practice—what actually matters[00:16] Distributed agent indexing (MIT NANDA) explained simply[00:18] What most people miss about LLMs (probabilistic behavior)[00:20] Quantum computing: progress, hype, and reality[00:21] Biggest technical challenges ahead (clustering, MPC, DKG)[00:24] Moore's Law → performance per watt (phones keep winning)[00:25] DePIN's real challenge: organic demand & dev UX[00:27] North star metrics & real adoption vs spam[00:28] Roadmap: Cargo (containers), clustering, futures for compute[00:30] The ask: strategic partners & builders; grants/hackathons comingConnecthttps://acurast.com/https://x.com/acurasthttps://x.com/killercsecurityDisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

As agencies continue their digital transformation, cloud adoption is essential for mission agility, security and efficiency. This episode dives into how agencies are tackling cloud migration, operational continuity and regulatory compliance while ensuring their systems remain resilient and cost-effective.  ThunderCat Technology's Cloud CTO Nic Perez, Deon James, AI Lead at Google Public Sector and Jeff Marshall, Director of Hosting and Compute at DISA discuss best practices for securing workloads, leveraging AI/ML for performance optimization and navigating federal procurement challenges.

For episode 598 of the BlockHash Podcast, host Brandon Zemp is joined by Dr. Christian Killer, Head of Research for Acurast. Dr. Christian Killer, Head of Research at Acurast with a PhD in Blockchain Voting, Dr. Killer pioneered novel approaches to decentralizing electoral procedures, advancing the state of voting systems worldwide. His work has been published in top-tier interdisciplinary venues across blockchain, applied cryptography, and information security. At Acurast, he leads cutting-edge research initiatives focused on secure, decentralized computation and privacy-preserving protocols. ⏳ Timestamps: (0:00) Introduction(0:56) Who is Christian Killer?(3:22) What is Acurast?(10:28) How does Acurast work?(12:22) Incentives for users(14:28) Ecosystem use-cases(16:30) Running LLMs on Acurast(18:08) Future of Decentralized Compute(20:30) Acurast roadmap(21:55) Acurast website, socials & community 

Blake Hughes is currently Managing Director at InfraHub Compute and Vice President of Investment Sales at NexGen Cloud.

En este programa hacemos un repaso a algunas noticias de la actualidad commodoriana y a los lanzamientos de las últimas semanas, y vemos la revista Compute!'s Gazette de mayo de 1988. También hablaremos de todo lo que se podrá ver y hacer en el Explora Commodore que celebraremos el próximo sábado 20/9 en el Espai Josep Bota de Barcelona. Todo esto lo veremos con el equipo habitual formado por David Asenjo (https://twitter.com/darro99), Toni Bianchetti (https://twitter.com/seuck), Narciso Quintana "Narcisound" (https://twitter.com/narcisound), Jonatan Jiménez (https://twitter.com/jsabreman) y Paco Herrera (https://twitter.com/pacoblog64). Las noticias comentadas son: - Últimas noticias de la nueva Commodore (video Peri, Compute's sep, GUI64 (Toni): https://youtu.be/uR5oW7YFqfQ?feature=shared ; https://www.youtube.com/watch?v=CrBGqXL5wP4 - Presentación del The A1200 de RetroGames Ltd, asociado al lanzamiento de The Settlers II Gold Edition para Amiga: https://www.youtube.com/watch?v=-Ygh74moytI; https://lookbehindyou.de/en/product/thesettlers2amiga/# - Liberado el codigo original de BASIC 1.1 para MOS 6502: https://hipertextual.com/software/microsoft-libera-6502-basic-codigo-abierto - VIC64-T9K: VIC-II, 6502, 64K de RAM y un puerto UART todo en uno: https://github.com/joachimdraeger/vic64-t9k - Nuevos videos del Mimic Spartan para Commodore 64.: https://www.youtube.com/watch?v=iIOWeAflOUw; https://www.youtube.com/watch?v=X14qr8Ouom8 - Nueva demo para CBM 8296: https://www.youtube.com/watch?v=n87d7j0hfOE - Lanzamiento del C64 mini Black Edition: https://retrogames.biz/products/thec64-mini-black/ - Allister Brimble lanza un album musical para conmemorar los 40 años de Amiga: https://allisterbrimble.bandcamp.com/album/amiga-40 - Problema con aduanas y revistas británicas. - Nuevo vídeo sobre la historia del Drean Commodore 64 en Argentina.: https://www.youtube.com/watch?v=vGX5Iujb-Eo - TRIBUTE, nuevo documental sobre el videojuego español estrenado en Prime: https://www.youtube.com/watch?v=YeHrx9WFuko - Nueva campaña de Kickstarter: Huge Amiga Cheat Codes Book: https://www.kickstarter.com/projects/bendani/huge-amiga-cheat-codes-book-hundreds-of-games-covered - Actualización de GTW64: https://www.gamesthatwerent.com/gtw64 - Herramienta de programación de cartuchos de 2MB para C64 con una Raspberry Pi: https://www.youtube.com/watch?v=As3GDnLnZ3U - Preservado material gráfico del CES 1985 y escaneos canadienses de Commodore: https://drive.google.com/drive/folders/16TPUVmfl2uBhYjdjB_iI_ufHzqgLa4ho?usp=drive_link - Preservado el Amiga Report Magazine: https://bigbookofamigahardware.com/amigareport/?fbclid=IwQ0xDSwMYGPdjbGNrAxgY22V4dG4DYWVtAjExAAEeOHXJZErDhqwOTx3HiGAGCr87TGngNc5st4kc6AGjGNbwlQsQmvoDnaYbC_Y_aem_5SXPBo50rPvDP8NslmEeeg&sfnsn=scwspwa - Video sobre la Commodore 500E con la intervención de Leonard Tramiel: https://www.youtube.com/watch?v=pSnOCFKQ5Os - Actualización del portal de demos c64.ch: https://c64.ch/ - Desarrollo de RTC para VIC-20: https://hackaday.io/project/203682-vic-20-rtc - Desarrollo del chip 6540-010 Character ROM para PET 2001 : http://blog.tynemouthsoftware.co.uk/2025/08/pet-2001-6540-010-character-rom-replacement.html - Actualización del portal de intros intros.c64: https://intros.c64.org/ - Nueva convocatoria de SEUCK COMPO: https://tnd64.unikat.sk/Seuck_Compo_2025_Part2.html - Reemplazo del chip Amber disponible en PCB Way: https://www.pcbway.com/project/shareproject/Commodore_Amiga_Amber_Replacement_Marine_42127eea.html - Apidya Special anunciado para 2026: https://www.indieretronews.com/2025/08/apidya-special-authentic-24-bit-pixel.html Actualizaciones: - RedPill 0.9.56: https://aminet.net/package/dev/misc/REDPILLGameCreator - Versatile Amiga Test Program v.6.59: https://aminet.net/package/util/misc/VATestprogram - SID Known v1.29: https://csdb.dk/release/?id=254223 Los juegos y programas nuevos comentados son: - "H.E.R.O. Is Back (LC-GAMES, C64): https://lowcarb.itch.io/hero-is-back-c64 - Donkey Kong (Varios, Plus/4): https://www.youtube.com/watch?v=ekmc1Px4AMc - Phil's Adventure (Plus/4): https://www.youtube.com/watch?v=81jaVG41ook - Return to Belmar's Castle (Commodore Plus, C64): https://commodore-plus.itch.io/retrurn-to-castle-belmar - City Cat (polytricity, C64): https://polytricity.itch.io/citycat-prowl; https://www.youtube.com/watch?v=vARDDLxQ49Q - Outrun (Amiga edition) (reassembler, Amiga): https://reassembler68k.itch.io/outrun-amiga-edition; https://youtu.be/5PpR-Dm3-nU?si=NOrtZYd8Tsvm4d00 - Musketeer (Psytronik, C64): https://psytronik.itch.io/musketeer - Retroskoi Sharp (sinte para C64) (, C64): https://csdb.dk/release/?id=255391 - Qoud Init Exit IIo (C64): https://retream.itch.io/quod-init-exit-iio - The Gate (allanon71, Amiga): https://allanon71.itch.io/the-gate - Neon Noir (steamknight, Amiga): https://steamknight.itch.io/neonnoir - Desktop Dreams 64 (Back2the8bit, C64): https://back2the8bit.itch.io/desktop-dreams-64 - Svellas (Inofuto, Plus/4): https://plus4world.powweb.com/software/Svellas - US Championship V'ball (jotd666, Amiga): https://jotd666.itch.io/us-championship-vball - Danger Dennis (Justepyx, C64): https://justepyx.itch.io/dangerdennis - Bard's Tale (Csory, Plus/4): https://plus4world.powweb.com/software/Bards_Tale - Carrot Stew (Plus/4): https://plus4world.powweb.com/software/Carrot_Stew - Snake vs Bomb 2 (C64): https://tnd64.unikat.sk/s.html#SnakeVsBomb2 - Dig-Dug revival (LC-Games, C64): https://lowcarb.itch.io/dig-dug-revival-c64 - SoundFX Anywhere (4mat, C64): https://4mat.itch.io/soundfx-anywhere?t=Eipj1Lk92tRYoACMEC4EUQ - Devastator (backtothe8bits, VIC-20): https://backtothe8bits.itch.io/devastator - Space shooter Demo (Amiga): https://www.youtube.com/watch?v=BJZFJWvSuR4 - Scoonex (C64, C16, VIC20, PET): https://www.lemon64.com/forum/viewtopic.php?p=1057815#p1057815 - Beer Rescue (Justepyx, C64): https://justepyx.itch.io/beer-rescue - Black Tower (blueguard, C64): https://www.blueguard.de/Tower/index.htm - Zodiac Deluxe (Legion of doom, Plus/4): https://plus4world.powweb.com/software/Zodiac_Deluxe - Florida Man (NSkimN8r, C64): https://nskimn8r.itch.io/florida-man - Czołgi Party (Protovision, C64): https://csdb.dk/release/?id=254878 - Umi Bombs (KabutoCoder, C64): https://kabutocoder.itch.io/umi-bombs-c64 - Caprica Defense (Peter Otto, C64): https://www.blueguard.de/Caprica/index.htm1 - Speed Maze Rabbit (RetroProgrammation, C64): https://retroprogrammation.itch.io/speed-maze-rabbit - Phantom Leap (actualización) (hoogames2017, Amiga): https://hoogames2017.itch.io/phantom-leap - Dragon Wars (Csory, Plus/4): https://plus4world.powweb.com/software/Dragon_Wars - Dodge These Balls (Amiga): https://entwicklerx.itch.io/dodge-these-balls-amiga - Decade of Ruin (C64): https://alexlogachev.itch.io/decade-of-ruin

Money flood - insane revenue and valuation growth, AI impacting every industry, Open AI and Microsoft deal, new time compute records are changing the game, the first AI government member, and more important AI news for the week ending on September 12 2025Is AI on the verge of world domination… or an economic meltdown?This week's AI headlines weren't about shiny new model releases and that's a good thing. It gave us time to zoom out and examine the billion-dollar chess game shaping our future.From OpenAI's $115B spend-fest to the first AI government cabinet member, and from Replit's code-writing agents to copyright lawsuits with a twist — this episode is a crash course in just how *wild* and *wide* AI's reach has become.Here's your witty but grounded executive summary of the week's most impactful AI news — handpicked and broken down by your host, Isar Meitis, with direct implications for how business leaders should think, adapt, and move.In this session, you'll discover:- OpenAI's capital-intensive moonshot and why it may still not be profitable in 2030- Microsoft's unexpected pivot: From exclusive OpenAI integration to paying AWS for Claude- The first AI cabinet member in Albania here's why it might be brilliant (or backfire)- AI-made movies & TV are no longer a fantasy, OpenAI is backing a full-length feature- Funding frenzy decoded: Databricks, Replit, Perplexity, and others are raising billions- "Thinking" AI that works for hours: How new models are pushing past past limitations- 5,000 AI podcasts a week for $1 each?! The scary-fascinating rise of mass-produced audio- FTC probes AI's influence on kids and what it means for regulation & trust- AI-powered AR glasses from Amazon — coming to delivery drivers and consumers near you- Duke gives GPT-4o to all students what this means for the future of higher education- Why Apple is strangely silent on AI this year, and what it could cost themGoogle Cloud AI Agent Handbook (PDF) - https://services.google.com/fh/files/misc/ai_agents_handbook.pdfAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

OpenAI signed a 5-year, $300 billion cloud computing contract with Oracle, Samsung gains smartphone market share in the U.S., and DoorDash is expanding drone delivery tests to San Francisco. 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 "OpenAI Inked A $300 Billion Cloud Compute Deal With Oracle – DTH"

במרוץ החימוש העולמי של הבינה המלאכותית, נראה שיש שתי מעצמות ברורות: ארה"ב וסין. אבל איפה מדינת הסטארטאפ - ישראל עומדת ? בפרק מרתק, אני מארח את אורי גושן, ממייסדי חברת המודלים הישראלית AI21 Labs, לשיחה על הפערים הקריטיים בתשתיות, כוח האדם והאסטרטגיה הלאומית. דיברנו על שלושת המרכיבים שקובעים מי ינצח במלחמה הקרה של ה-AI - אלגוריתמים, כוח מחשוב ודאטה, ואיך מדינות כמו צרפת עוקפות אותנו בסיבוב. עוד בפרק: מהן הסכנות האמיתיות של הטכנולוגיה (ספוילר: זה לא קשור ל"שליחות קטלנית"), מהם החסמים שמונעים מ-AI לחדור לארגונים, ומה ישראל חייבת לעשות אתמול כדי לייצר פה אקוסיסטם משמעותי ולא להישאר מאחור.(00:00:00) איפה ישראל עומדת במרוץ החימוש של ה-AI?(00:02:32) מהו ה-End Game של ענקיות הטכנולוגיה?(00:05:06) המלחמה הקרה: ארה"ב נגד סין בזירת הבינה המלאכותית(00:08:23) שלושת המרכיבים להצלחה ב-AI: אלגוריתמים, Compute ודאטה(00:15:21) ההבדל בין מודל פתוח (Open Weights) לקוד פתוח(00:18:43) הפוטנציאל הישראלי: איים של טאלנט, אבל בלי תשתיות(00:22:54) מה ישראל צריכה לעשות כדי להדביק את הפער?(00:25:49) בעיית כוח האדם: איך הופכים להיות AI Native?(00:28:22) האם הישראלים מאמצים AI? נתוני הסקר המפתיעים(00:33:46) שני הפערים הטכנולוגיים שמונעים מ-AI לחדור לארגונים(00:40:13) הסכנות האמיתיות של AI: זה הרבה יותר דומה לסושיאל מדיה(00:45:23) למה לא צריך להתייחס ל-AGI (בינה מלאכותית כללית) ברצינות?(00:48:16) מה אנחנו כצרכנים יכולים לעשות כדי להתגונן?

The launch of OpenAI's GPT-5 has ushered in a panoply of views on the future of AGI and end-user applications. Does the platform's aggressive router presage a future of lobotomized AI responses driven more by compute efficiency than quality? Will new chip models be able to make up the difference? And how will OpenAI, which recently hired Fidji Simo from Instacart to become CEO of Applications, expand its revenue beyond API calls and consumer subscriptions?These are huge questions which will ricochet throughout the tech economy. Thankfully, we have a veteran hand this week to go over it with us in the form of Dylan Patel, founder, CEO, and chief analyst of Semianalysis. He's the guru everyone reads (and listens to), covering the intricacies of chips and compute for a readership of hundreds of thousands of subscribers.Joining host Danny Crichton as well as Lux's Shahin Farshchi and Michelle Fang, the quartet discuss the questions above plus how Mark Zuckerberg is transitioning Meta Reality Labs, the hopes and dreams of new chip startups, the future of AI workloads, and finally, Intel after the U.S. government's purchase of 10% of its shares.

Hendrik Kramer ist Mitgründer und CEO von Fernride und hat die große Vision einer "Human-Assisted Autonomy” in der Logistik. Aktuell heißt das, dass beispielsweise im Hamburger Hafen Terminal-Traktoren von Leuten, die in Büros sitzen, ferngesteuert werden. Ob diese Technik schon reif genug ist, um flächendeckend in der Logistik ausgerollt zu werden, und wo es in Zukunft mit Fernride hingehen soll, das erklärt Hendrik unserem Host Boris Felgendreher in dieser Folge des BVL Podcasts. Unter anderem geht es dabei um folgende Themen: - Vision & Mission von Fernride: Automatisierung gefährlicher und repetitiver Jobs im B2B-Kontext (Logistik, Verteidigung, Bau). - Erster Fokus-Use-Case: Hafenlogistik – horizontaler Containertransport in Terminals. - Problemfelder: Fachkräftemangel, unattraktive Jobs, demografischer Wandel. - Technischer Ansatz: „Human Assisted Autonomy“ – KI soweit wie möglich, Mensch wo nötig (1 Operator für 4 Trucks). - Strategie der letzten Jahre: Fokus auf einen Anwendungsfall (Terminal-Traktoren) → Produkt statt nur Prototyp. - Investoren & Kommerzialisierung: Anspruch gestiegen – funktionierende, sichere Produkte statt Visionen. - Veränderungen seit 2022: Ukraine-Krieg, neue geopolitische Lage, gestiegene Bedeutung europäischer Souveränität. - Partnerschaft mit HALA (Hamburger Hafenlogistik AG): Langjährige Tests in Tallinn → Produkt unter realen Bedingungen erprobt und zertifiziert. - Vergleich alte/neue Technik: AGVs (eingezäunt, selten eingesetzt) vs. flexible Terminal-Traktoren mit Retrofit-Option. - Arbeitsplätze: Wandel vom Fahrer zum Büro-basierten Operator; höhere Attraktivität, neue Zielgruppen (inkl. Frauen, jüngere Generation). - Hardware & Technologie: Retrofit oder ab Werk; Drive-by-Wire, Sensorpakete, Compute. Profitieren von Fortschritten aus PKW-Autonomie (Waymo, Tesla). - Partnerschaften & Zulieferer: Zusammenarbeit mit OEMs und Zulieferern (z. B. KRONE). - Weitere Use-Cases: Werksgelände (VW), Distributionszentren (DB Schenker), später auch öffentliche Straßen (Short-Haul). - Regulatorik: Deutschland als Vorreiter (Level-4-Gesetz, Fernlog-Verordnung). Gute Rahmenbedingungen. - Wettbewerbsumfeld: Europa muss eigene Lösungen entwickeln → Ziel: globaler Champion „das nächste Siemens“. - Militärlogistik: Neue geopolitische Notwendigkeit (Ukraine, NATO). Use Cases: sichere Versorgung an Frontlinien. Dual-Use-Strategie. - Zukunft & Wachstum: Fokus auf langfristige Skalierung, Partnerschaften, europäische Souveränität. - Hiring: Kein Hyperscaling, aber kontinuierlich Aufbau eines starken Engineering-Teams und Logistik-Expertise. Hilfreiche Links: Fernride: https://www.fernride.com/ Hendrik Kramer auf LinkedIn: https://www.linkedin.com/in/hendrik-kramer/ Boris Felgendreher auf LinkedIn: https://www.linkedin.com/in/borisfelgendreher/ BVL: https://www.bvl.de/

ANTIC Episode 120 - AI Non Grata In this episode of ANTIC The Atari 8-Bit Computer Podcast… Kay discusses a big Atari haul, we get an Atari report from VCF West, we discuss a new Atari 8-bit emulator, and Kay bans AI-generated content from the podcast … READY! Recurring Links  Floppy Days Podcast  AtariArchives.org  AtariMagazines.com  Kay's Book “Terrible Nerd”  New Atari books scans at archive.org  ANTIC feedback at AtariAge  Atari interview discussion thread on AtariAge  Interview index: here  ANTIC Facebook Page  AHCS  Eaten By a Grue  Next Without For  What we've been up to Spring/Summer 1992 Toad Computers Catalog - https://archive.org/details/toad-computers-spring-summer-1992-catalog  Sector Copy program - https://www.atarimania.com/utility-atari-400-800-xl-xe-scopy-810_44379.html  News Report from Rob McMullen about Ataris at VCF West [4:37] - https://www.dropbox.com/scl/fi/5qq0k7y5d25ymq87mlx3s/rob-vcf-west-review-1450-antic-podcast.wav?rlkey=30oilrbgfstazfrk4t6wh7cqm&dl=0  Shadows of Dimensions - New Atari game from SV 2025 SE: YouTube game video - https://youtu.be/3jn_zhk_vq0  Game download - https://forums.atariage.com/applications/core/interface/file/attachment.php?id=1252592&key=f30bcb01978d9a735303f5b16fde2994  VBXE Demo Show Part II SillyVenture 2025 - 25th anniversary Edition - andymanone  AtariAge thread - https://forums.atariage.com/topic/383550-atari-8-bit-xlxe-vbxe-demo-show-part-ii-sillyventure-2025-25th-anniversary-edition/  Demozoo - VBXE Slideshow Part II - SV2025 Edition 07-2025 for ATARI 8-Bit Pouet - VBXE Slideshow Part II - SV2025 Edition 07-2025 for ATARI 8-Bit  Youtube - VBXE Slideshow Part II - SV2025 Edition 07-2025 for ATARI 8-Bit FastBASIC Debugger Extension for VSCode - Eric Carr: https://forums.atariage.com/topic/351055-fastbasic-debugger-extension-for-vscode/  https://github.com/EricCarrGH/vscode-fastbasic-debugger/blob/master/readme.md#custom-emulator  Adding Fujinet support to Atari800MacX - Paulo Garcia - https://forums.atariage.com/topic/382899-adding-fujinet-support-to-atari800macx/  New Atari 8-bit emulator Fujisan by Paulo Garcia: source code is here - https://github.com/pedgarcia/fujisan  TCP server for automation - https://github.com/pedgarcia/fujisan/blob/main/TCP_SERVER_API.md  YouTube video - https://youtu.be/jFZfG9ah-9A  AIAD (AI-aided Design) for 130XE board remake - Peter Kaczorowski: https://www.youtube.com/watch?v=DGTjjxJcUks  https://forums.atariage.com/topic/383379-new-11-1000dpi-replica-of-atari-xe-motherboard-%E2%80%93-interest-check/  Timberman - a new game: https://forums.atariage.com/topic/383557-timberman-a-new-game/  https://github.com/Pecusx/Young-lumberjack/blob/main/Timberman.xex  https://www.youtube.com/watch?v=86FLcqFdQMA  August issue of the new Compute's Gazette Magazine - https://www.computesgazette.com XE Desktop with 3.5 Inch Disk Drive Hat render - Simon Daniel - https://www.facebook.com/groups/181644898539691/user/625793361  Eyeroll of the month - 9 Telengard boxes, sealed: https://www.ebay.com/itm/406093458386  https://www.atarimania.com/game-atari-400-800-xl-xe-telengard_5309.html  Was the Atari computer 8-bit or 4-bit? - https://cyberpost.co/was-atari-8-bit-or-4-bit/  Building Dandy from source - https://forums.atariage.com/topic/276387-heres-the-source-code-for-dandy/#findComment-5705579  https://intotheverticalblank.com/2025/08/10/atari-8bit-archeology-top-20-shooters-and-shmups-1979-1981/  Total Reprint (Apple II Print Shop update) - https://youtu.be/DAoXIsNP6jg  Upcoming Shows VCF Midwest - September 13-14, 2025 - Renaissance Schaumburg Convention Center in Schaumburg, IL - http://vcfmw.org/  Portland Retro Gaming Expo - October 17-19 - Oregon Convention Center, Portland, OR - https://retrogamingexpo.com/  Event page created by Chicago Classic Computing - http://chiclassiccomp.org/events.html  Event page created by Floppy Days on Facebook - https://www.facebook.com/VintageComputerShows/  Event page on Floppy Days Website - https://docs.google.com/document/d/e/2PACX-1vSeLsg4hf5KZKtpxwUQgacCIsqeIdQeZniq3yE881wOCCYskpLVs5OO1PZLqRRF2t5fUUiaKByqQrgA/pub  YouTube Videos The (Insufferable) Decline of Atari | When the Industry Crashes on Your Watch - History in the Dark - https://www.youtube.com/watch?v=DeoAsUjz72s  PS5 Pad in Atari 400 Mini? Checking It Out! [Controller Test] - Grzesiek Opowiada - https://www.youtube.com/watch?v=GCrNQESbZmM  Unboxing the Atari ST124 monochrome monitor, pt. 2 - John Zielke (Atari Basics newsletter) - https://www.youtube.com/shorts/6m-w5LDYedc  New at Archive.org Allan Bushman is on FIRE: https://archive.org/details/@allan52  https://archive.org/details/easmd-oss/  https://archive.org/details/computer-shopper-july-1986-vol-6-num-6-atari-articles/  And new entrant in the scanning scene Ted Skrecky: https://archive.org/details/@ted_skrecky https://archive.org/details/wire-taps-vol.-4-no.-6-june-1986 https://archive.org/details/xio-3-garden-city-atari-computer-enthusiasts-newsletter-june-july-1989 Listener Feedback Dropcheck redesigned Atari 1450XL (1250XL) motherboard - https://forums.atariage.com/topic/357529-building-testing-the-re-imaged-atari-1450xl/ 

Send us a textIn this Family Office Club investor panel, global investors share how artificial intelligence is impacting their industries, portfolios, and deal flow strategies. From ocean data satellites to compute power, sales automation, and blue-collar business integration, this conversation dives deep into the real opportunities and risks AI presents today.Key insights from this panel:

Send us a textIn this episode, Frank and SteveO cover the latest cloud updates that matter for FinOps practitioners:Compute & AI: AWS launches the P6e GB200 Ultra Servers, delivering record-breaking GPU performance for training and inference at trillion-parameter scale. Google announces FlexStart VMs to lower inference costs, while Azure rolls out free AWS-to-Azure Blob migration.Storage & Data: Google introduces editable backup plans, and AWS adds tagging support for S3 Express One Zone—a step toward using tags as operational levers, not just reporting tools.Visibility & Optimization: AWS Transform enhances EBS cost analysis and .NET modernization insights. GCP improves billing exports with spend-based CUD metadata in BigQuery and previews a Cost Explorer for better spend tracking.Pricing & Commitments: AWS Connect introduces per-day pricing for external voice connectors. Google expands flexible CUDs to cover Cloud Run services, with full migration to the new model coming in January 2026.Savings & Compliance: Azure Firewall adds ingestion-time log transformations to cut monitoring costs. AWS Audit Manager improves evidence collection, reducing compliance overhead and spend.AI-assisted Operations: AWS debuts MCP servers for S3 Tables, CloudWatch, and Application Signals—enabling AI-driven data access, troubleshooting, and observability. Plus, QuickSight doubles SPICE datasets to 2B rows.As always, we cut through the noise to focus on the FinOps impact—cost, commitments, compliance, and the growing role of AI in managing the cloud.

Greg Brockman, co-founder and president of OpenAI, joins us to talk about GPT-5 and GPT-OSS, the future of software engineering, why reinforcement learning is still scaling, and how OpenAI is planning to get to AGI. 00:00 Introductions 01:04 The Evolution of Reasoning at OpenAI 04:01 Online vs Offline Learning in Language Models 06:44 Sample Efficiency and Human Curation in Reinforcement Learning 08:16 Scaling Compute and Supercritical Learning 13:21 Wall clock time limitations in RL and real-world interactions 16:34 Experience with ARC Institute and DNA neural networks 19:33 Defining the GPT-5 Era 22:46 Evaluating Model Intelligence and Task Difficulty 25:06 Practical Advice for Developers Using GPT-5 31:48 Model Specs 37:21 Challenges in RL Preferences (e.g., try/catch) 39:13 Model Routing and Hybrid Architectures in GPT-5 43:58 GPT-5 pricing and compute efficiency improvements 46:04 Self-Improving Coding Agents and Tool Usage 49:11 On-Device Models and Local vs Remote Agent Systems 51:34 Engineering at OpenAI and Leveraging LLMs 54:16 Structuring Codebases and Teams for AI Optimization 55:27 The Value of Engineers in the Age of AGI 58:42 Current state of AI research and lab diversity 01:01:11 OpenAI's Prioritization and Focus Areas 01:03:05 Advice for Founders: It's Not Too Late 01:04:20 Future outlook and closing thoughts 01:04:33 Time Capsule to 2045: Future of Compute and Abundance 01:07:07 Time Capsule to 2005: More Problems Will Emerge

In this episode, Dave dives into the newly announced Commodore 64 Ultimate - a modern, FPGA-powered revival of the classic C64 - and compares it to his previously acquired Ultimate 64 Elite II board. He breaks down the different editions, pricing tiers, and what makes this official reboot stand out in a crowded retro hardware scene. John talks about modding his original Atari 2600 with a composite video output and the guys also check out the impressive MovieCart, a full-motion video cartridge for the Atari 2600, revisit the just-announced THEC64 Mini Black Edition, and discuss the surprise return of Compute!'s Gazette. Plus: John explains why he returned his preorder for the My Arcade Atari Watch.

In this episode, The Annuity Man discussed:  Annuities that increase with inflation  The role of interest rates in pricing  For products that adjust for inflation Reverse-engineering your income floor   Key Takeaways:  Annuities don't give things away for free. A product that magically increases with inflation doesn't exist.  Lifetime income is primarily priced based on your life expectancy at the time you take the payment. Interest rates play a minor role.  For products that have a potential or contractual increase for inflation, the annuity company will severely lower the initial income as compared to the exact annuity without the increase.  Don't focus on things that you can't control. Focus on building up an income floor that suits your needs. Compute the number you'll need to cover your expenses; we can reverse-engineer a product for that.    "It's math to the annuity companies. It should be math to you. If it sounds too good to be true, it is every single time. " —  Stan The Annuity Man.    Connect with The Annuity Man:  Website: http://theannuityman.com/  Email: Stan@TheAnnuityMan.com  Book: Owner's Manuals: https://www.stantheannuityman.com/how-do-annuities-work YouTube: https://www.youtube.com/channel/UCCXKKxvVslbeGAlEc5sra2g  Get a Quote Today: https://www.stantheannuityman.com/annuity-calculator!

For episode 573 of the BlockHash Podcast, host Brandon Zemp is joined by Mark Rydon, Co-founder of Aethir while at Permissionless 4. Aethir provides secure, cost-effective access to enterprise grade GPUs around the world. Accelerate growth and get closer to the edge with Aethir's distributed cloud compute infrastructure. ⏳ Timestamps: 0:00 | Introduction0:50 | Who is Mark Rydon?6:45 | What is Aethir?12:38 | Compute Incentivization16:18 | Demand for Compute18:30 | Aethir at Permissionless20:30 | Aethir website, socials & community21:19 | RAPID FIRE SESSION

While AI training garners most of the spotlight — and investment — the demands ofAI inferenceare shaping up to be an even bigger challenge. In this episode ofThe New Stack Makers, Sid Sheth, founder and CEO of d-Matrix, argues that inference is anything but one-size-fits-all. Different use cases — from low-cost to high-interactivity or throughput-optimized — require tailored hardware, and existing GPU architectures aren't built to address all these needs simultaneously.“The world of inference is going to be truly heterogeneous,” Sheth said, meaning specialized hardware will be required to meet diverse performance profiles. A major bottleneck? The distance between memory and compute. Inference, especially in generative AI and agentic workflows, requires constant memory access, so minimizing the distance data must travel is key to improving performance and reducing cost.To address this, d-Matrix developed Corsair, a modular platform where memory and compute are vertically stacked — “like pancakes” — enabling faster, more efficient inference. The result is scalable, flexible AI infrastructure purpose-built for inference at scale.Learn more from The New Stack about inference compute and AIScaling AI Inference at the Edge with Distributed PostgreSQLDeep Infra Is Building an AI Inference Cloud for DevelopersJoin our community of newsletter subscribers to stay on top of the news and at the top of your game  

Episode 248 of RevolutionZ asks, what if the real danger of advanced AI isn't robots taking over the world, but humans willingly but unintentionally surrendering our humanity? What if AI need not go rogue for its collateral damage to fundamentally hurt humanity? What if our most likely dystopian future isn't machines battling us to death, but machines doing exactly what we ask—better than we ever could?AI is spreading through society at an unprecedented rate, with exponentially growing functionality. While critics point to potential limitations in data, computational resources, or energy requirements slowing AI's gains to a crawl, the industry continues to race toward Artificial General Intelligence and beyond.Picture a future where AI teaches your children more patiently than human teachers, diagnoses illness more accurately than human doctors, creates more beautiful art than human artists, and provides more satisfying companionship than other humans. Of course it isn't here yet. But is it coming? What happens to us if AI-guided robots do for us everything meaningful that we humans now do? Is that utopia or dystopia? What if we don't lose our humanity because machines force us to succumb, but because we prefer what AI offers until we are so dependent that to change course would be even worse than to suffer onIs this danger me hallucinating? Is it so subtle it doesn't exist or is it so profoundly dangerous we must pay serious attention? Will we become passive consumers of massive AI creativity? Will our uniquely human capacities  atrophy from disuse? Today's AI can already write not only letters but also novels, compose and play music, diagnose and treat illness,  hold conversations, provide sympathy, and also complete self chosen tasks. What's next? Is it time for us to demand serious regulation while we still can? Not only to protect jobs (a good reason), to prevent misuse by bad actors (a good reason), and to prevent a sci-fi robot apocalypse (maybe a Hollywood exaggeration), but to also protect the essence of what makes us human?Support the show

Is intelligence just compute plus data? And if so... what happens next? In this episode, Dwarkesh Patel, host of one of the most respected AI podcasts and author of “The Scaling Era”, joins us to break down the exponential rise of artificial intelligence. We explore how scaling laws became the engine behind modern models, why AI still can't learn on the job, and whether we're truly on the brink of AGI. From coding to consciousness, from geopolitics to governance, Dwarkesh shares a grounded but urgent perspective on what it means to live through the transition and how we might prepare for what's coming. ------

In this episode of Around the Desk, Sean Emory, Founder & CIO of Avory & Co., sits down with Anthony Power, co-founder of Power Mining Analysis and a leading voice in the mining world, to break down how the economics of Bitcoin mining are evolving and why many are shifting toward high-performance compute (HPC) infrastructure.This isn't just about mining anymore, it's about building the digital infrastructure stack of the future.Chapters00:00 Introduction to Bitcoin Mining and Power Mining Analysis04:56 Current State of Bitcoin Mining10:14 Challenges and Adaptations in Mining14:43 The Shift to High-Performance Computing (HPC)19:14 Future of Bitcoin Mining and HPC24:26 Funding and Infrastructure for HPC29:05 Emerging Players in Mining Technology37:39 Conclusion and Future OutlookWhether you're long, short, or just curious about the future of mining infrastructure — this one goes deep.—Hosted by:Sean Emory — Founder & Chief Investment Officer, Avory & Co.https://www.avory.xyzGuest:Anthony Power — Co-founder of Power Mining AnalysisContributing Writer at Compass MiningFollow Avory & Co or Sean Emory

(0:00) Intro(1:28) About the podcast sponsor: The American College of Governance Counsel(2:15) Start of interview(3:17) Steven's origin story(7:09) The AI Market Explosion(10:07) Introducing Alpha: the company he leads. (16:01) On Events and Board Forums: "There is going to be a premium on IRL really moving forward because the bar is going to be so high" (17:50) The Necessity of Tech-Savvy Directors(19:58) Steven's State of the Art of AI for directors. "The AI wave is driven by 4 forces: 1) Compute (the most important), 2) Data, 3) Algorithms, and 4) Robotics."(25:11) Recommendations for directors on how to dive deeper into AI. *Reference to Menlo Venture's 2025: The State of Consumer AI(29:24) Understanding AI Tools and Their Value(31:55) Governance in the AI Age "How can you govern something you don't understand?"(38:21) Navigating Private vs. Public Companies(44:58) Geopolitical Tensions and AI. The options: 1) The Empire Strikes Back (China); 2) Star Trek (EU); and 3) The Capitalist Version of Mad Max (USA)(49:28) The Future of Agentic AI(52:12) The Importance of Data as an Asset(58:53) How can the Board address the AI challenge(1:04:14) Books that have greatly influenced his life:Meditations, by Marcus Aurelius Start with Why, by Simon Sinek (2009)The Coming Wave, by Mustafa Suleiman (2023)(1:05:36) His mentorsChinh Chu Viola McCauslandPaul SaganDavid KennyLisa Hook(1:07:39) Quotes that he thinks of often or lives his life by: "You become what you give your attention to.(1:08:19) An unusual habit or an absurd thing that he loves.(1:09:20)  The living person he most admires.Steven Wolfe Pereira founded Alpha to solve a critical problem: most boards are governing AI transformation without the frameworks, intelligence, or peer networks they need to make sound fiduciary decisions.  You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep475-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/demis-hassabis-2-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Demis's X: https://x.com/demishassabis DeepMind's X: https://x.com/GoogleDeepMind DeepMind's Instagram: https://instagram.com/GoogleDeepMind DeepMind's Website: https://deepmind.google/ Gemini's Website: https://gemini.google.com/ Isomorphic Labs: https://isomorphiclabs.com/ The MANIAC (book): https://amzn.to/4lOXJ81 Life Ascending (book): https://amzn.to/3AhUP7z SPONSORS: To support this podcast, check out our sponsors & get discounts: Hampton: Community for high-growth founders and CEOs. Go to https://joinhampton.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex AG1: All-in-one daily nutrition drink. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (00:29) - Sponsors, Comments, and Reflections (08:40) - Learnable patterns in nature (12:22) - Computation and P vs NP (21:00) - Veo 3 and understanding reality (25:24) - Video games (37:26) - AlphaEvolve (43:27) - AI research (47:51) - Simulating a biological organism (52:34) - Origin of life (58:49) - Path to AGI (1:09:35) - Scaling laws (1:12:51) - Compute (1:15:38) - Future of energy (1:19:34) - Human nature (1:24:28) - Google and the race to AGI (1:42:27) - Competition and AI talent (1:49:01) - Future of programming (1:55:27) - John von Neumann (2:04:41) - p(doom) (2:09:24) - Humanity (2:12:30) - Consciousness and quantum computation (2:18:40) - David Foster Wallace (2:25:54) - Education and research PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips

Edwin Chen is the Founder and CEO of Surge. Founded in 2020, Surge has scaled to $1BN+ in revenue with zero external funding. At the same time, their competitor, Scale.ai raised over $1.3BN to reach $850M ARR. Today, Surge have the world's largest model providers as customers and have just 120 employees.  Agenda: 00:00 — “Everyone Else Is Just a Body Shop” — Edwin Calls Out the Whole Industry 01:05 — Why 90% of Big Tech Is Wasting Time on Useless Problems 03:45 — “I Don't Do 1-on-1s” — How Surge Kills Meetings and Still Moves 10x Faster 05:55 — Will a Single Person Build a $1B Company?  08:10 — 100x Engineers Are Real — Here's How to Spot Them 12:10 — Why Most PhDs Are Useless in AI Training 14:20 — Built to a Billion With Zero VC — Edwin Explains How and Why 17:00 — “No Sales Team, No PR, No BS” — Why Surge Stays in the Shadows 21:15 — The Real Reason AGI Might Take Until 2040 24:45 — Will Synthetic Data Kill Human Labelling?  29:00 — “Academic Benchmarks Are a Scam”  31:05 — Why the Real Bottleneck in AI Isn't Compute or Models — It's THIS 33:00 — What Every AI Company Should Be Asking (But Isn't) 35:15 — “No, I Wouldn't Sell Surge for $100B”  39:00 — Is the Application Layer Doomed? Edwin Predicts the Future of AI Startups 46:30 — Have the Leading Foundation Models Already Been Founded?  48:10 — AGI Could Be Dangerous — And Most People Are Ignoring Why 20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech | 

Dr. Maxwell Ramstead grills Guillaume Verdon (AKA “Beff Jezos”) who's the founder of Thermodynamic computing startup Extropic.Guillaume shares his unique path – from dreaming about space travel as a kid to becoming a physicist, then working on quantum computing at Google, to developing a radically new form of computing hardware for machine learning. He explains how he hit roadblocks with traditional physics and computing, leading him to start his company – building "thermodynamic computers." These are based on a new design for super-efficient chips that use the natural chaos of electrons (think noise and heat) to power AI tasks, which promises to speed up AND lower the costs of modern probabilistic techniques like sampling. He is driven by the pursuit of building computers that work more like your brain, which (by the way) runs on a banana and a glass of water! Guillaume talks about his alter ego, Beff Jezos, and the "Effective Accelerationism" (e/acc) movement that he initiated. Its objective is to speed up tech progress in order to “grow civilization” (as measured by energy use and innovation), rather than “slowing down out of fear”. Guillaume argues we need to embrace variance, exploration, and optimism to avoid getting stuck or outpaced by competitors like China. He and Maxwell discuss big ideas like merging humans with AI, decentralizing intelligence, and why boundless growth (with smart constraints) is “key to humanity's future”.REFS:1. John Archibald Wheeler - "It From Bit" Concept00:04:45 - Foundational work proposing that physical reality emerges from information at the quantum levelLearn more: https://cqi.inf.usi.ch/qic/wheeler.pdf 2. AdS/CFT Correspondence (Holographic Principle)00:05:15 - Theoretical physics duality connecting quantum gravity in Anti-de Sitter space with conformal field theoryhttps://en.wikipedia.org/wiki/Holographic_principle 3. Renormalization Group Theory00:06:15 - Mathematical framework for analyzing physical systems across different length scales https://www.damtp.cam.ac.uk/user/dbs26/AQFT/Wilsonchap.pdf 4. Maxwell's Demon and Information Theory00:21:15 - Thought experiment linking information processing to thermodynamics and entropyhttps://plato.stanford.edu/entries/information-entropy/ 5. Landauer's Principle00:29:45 - Fundamental limit establishing minimum energy required for information erasure https://en.wikipedia.org/wiki/Landauer%27s_principle 6. Free Energy Principle and Active Inference01:03:00 - Mathematical framework for understanding self-organizing systems and perception-action loopshttps://www.nature.com/articles/nrn2787 7. Max Tegmark - Information Bottleneck Principle01:07:00 - Connections between information theory and renormalization in machine learninghttps://arxiv.org/abs/1907.07331 8. Fisher's Fundamental Theorem of Natural Selection01:11:45 - Mathematical relationship between genetic variance and evolutionary fitnesshttps://en.wikipedia.org/wiki/Fisher%27s_fundamental_theorem_of_natural_selection 9. Tensor Networks in Quantum Systems00:06:45 - Computational framework for simulating many-body quantum systems https://arxiv.org/abs/1912.10049 10. Quantum Neural Networks00:09:30 - Hybrid quantum-classical models for machine learning applicationshttps://en.wikipedia.org/wiki/Quantum_neural_network 11. Energy-Based Models (EBMs)00:40:00 - Probabilistic framework for unsupervised learning based on energy functionshttps://www.researchgate.net/publication/200744586_A_tutorial_on_energy-based_learning 12. Markov Chain Monte Carlo (MCMC)00:20:00 - Sampling algorithm fundamental to modern AI and statistical physics https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo 13. Metropolis-Hastings Algorithm00:23:00 - Core sampling method for probability distributionshttps://arxiv.org/abs/1504.01896 ***SPONSOR MESSAGE***Google Gemini 2.5 Flash is a state-of-the-art language model in the Gemini app. Sign up at https://gemini.google.com

Colab is cozy. But production won't fit on a single GPU. Zach Mueller leads Accelerate at Hugging Face and spends his days helping people go from solo scripts to scalable systems. In this episode, he joins me to demystify distributed training and inference — not just for research labs, but for any ML engineer trying to ship real software. We talk through: • From Colab to clusters: why scaling isn't just about training massive models, but serving agents, handling load, and speeding up iteration • Zero-to-two GPUs: how to get started without Kubernetes, Slurm, or a PhD in networking • Scaling tradeoffs: when to care about interconnects, which infra bottlenecks actually matter, and how to avoid chasing performance ghosts • The GPU middle class: strategies for training and serving on a shoestring, with just a few cards or modest credits • Local experiments, global impact: why learning distributed systems—even just a little—can set you apart as an engineer If you've ever stared at a Hugging Face training script and wondered how to run it on something more than your laptop: this one's for you. LINKS Zach on LinkedIn (https://www.linkedin.com/in/zachary-mueller-135257118/) Hugo's blog post on Stop Buliding AI Agents (https://www.linkedin.com/posts/hugo-bowne-anderson-045939a5_yesterday-i-posted-about-stop-building-ai-activity-7346942036752613376-b8-t/) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Hugo's recent newsletter about upcoming events and more! (https://hugobowne.substack.com/p/stop-building-agents)

For episode 545 of the BlockHash Podcast, host Brandon Zemp is joined by Michael Chen, COO of Bless while at Permissionless 4. Bless is the world’s first shared computer, turning every consumer device— laptop, desktop, and mobile phone—into participants in a massive edge compute network with over 5 million live nodes. Bless is purpose-built for real-time inference and agentic computing, featuring high performance, low latency, and dynamic scaling. ⏳ Timestamps: 0:00 | Introduction0:43 | Who is Michael Chen?6:25 | Importance of Decentralized Compute10:07 | Bless Network Ecosystem12:42 | Bless Network Mainnet12:55 | Bless Network at Permissionless14:14 | Bless Network website & socials14:32 | RAPID FIRE SESSION

In this episode, we speak with Piotr Tomasik, Co-Founder and President at TensorWave, a cutting-edge cloud platform purpose-built for AI workloads that delivers high-performance computing with AMD MI300X accelerators and a best-in-class inference engine. TensorWave recently raised $100 million from Magnetar, AMD Ventures, Maverick Silicon, Nexus Venture Partners, and Prosperity7. The capital infusion strengthens the company's ability to scale its infrastructure for memory-intensive AI workloads and expands its reach as a next-gen alternative in the AI and HPC cloud space. Piotr supports Startup Vegas. To learn more about this organization click here. I am your host RJ Lumba. We hope you enjoy the show. If you like the episode click to follow.

In this episode of Mission Matters, Adam Torres interviews Simeon Bochev, CEO and Co-Founder of Compute Exchange, about the explosive growth of AI infrastructure and the urgent need for transparency in computing resources. From leading AI initiatives at Apple to founding a startup tackling inefficiencies in compute marketplaces, Simeon shares his mission to build a more open, efficient, and scalable infrastructure for the AI-driven world. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: https://missionmatters.lpages.co/podcastguest/ Visit our website: https://missionmatters.com/ More FREE content from Mission Matters here: https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

ANTIC Episode 118 - Trigger Warning In this episode of ANTIC The Atari 8-Bit Computer Podcast…we have lots of user feedback and user projects to report on, we talk about a postage stamp-sized Atari computer, and (trigger warning!) there are a couple of Commodore references…  READY! Recurring Links  Floppy Days Podcast  AtariArchives.org  AtariMagazines.com  Kay's Book “Terrible Nerd”  New Atari books scans at archive.org  ANTIC feedback at AtariAge  Atari interview discussion thread on AtariAge  Interview index: here  ANTIC Facebook Page  AHCS  Eaten By a Grue  Next Without For  Links for Items Mentioned in Show: What we've been up to Photos from the Capital Children's Museum Communications Exhibit which opened November 1981 - https://archive.org/details/ccm-communications  Narrascope 2025 - https://narrascope.org/  Learning about print shop font and border formats with Michael Sternberg - https://forums.atariage.com/topic/324752-print-shop-atari-related-graphics/#findComment-5667327  “Unofficial Atari: a Visual History” by Darren Doyle - https://www.greyfoxbooks.com/shop/books/the-atari-a-visual-history/  Interview with Darren Doyle on ANTIC - https://ataripodcast.libsyn.com/antic-episode-10-the-atari-8-bit-podcast-darren-doyle-michael-current  Atari800 emulator and FujiNet on Mac - Andy Diller - https://www.atariorbit.org/2025/06/19/fujinet-and-atari800-emulation/  News The Retroist Podcast covers the Atari XEGS - https://www.retroist.com/p/retroist-atari-xegs-podcast  Atari 800 red keyboard - https://www.facebook.com/share/p/15fZrXoP24/  Atari 800 drum scanner project (Dave Porter) - https://www.facebook.com/share/p/15rS9dcyzr/?mibextid=wwXIfr  Atari home automation (Mike Hogan) - https://www.facebook.com/share/p/16rNS2AZnv/?mibextid=wwXIfr  Paper - https://www.academia.edu/13353149/Playing_and_copying_social_practices_of_home_computer_users_in_Poland_during_the_1980s  Polish engineer creates postage stamp-sized 1980s Atari computer - https://arstechnica.com/gadgets/2025/06/polish-engineer-creates-postage-stamp-sized-1980s-atari-computer/  Antonia2 interest post by Simius - https://forums.atariage.com/topic/382122-antonia2-interest/  Thomas Cherryhomes will be writing a monthly FujiNet column for the upcoming Compute!'s Gazette reboot - https://fujinews.substack.com/p/thomas-cherryhomes-named-monthly  New game (news comes from Atariteca) - "Quadbination" for Atari 8-bit - https://www.atariteca.net.pe/2025/06/reflejos-estrategia-y-paddles.html  The story of how Boulder Dash was created: https://spillhistorie.no/2025/06/06/how-boulder-dash-was-created/  Kay Interviewed Peter Liepa in 2015 - https://ataripodcast.libsyn.com/antic-interview-66-peter-liepa-boulder-dash  June Atari Insights Newsletter - https://ataribasics.com  Trigger Warning: Commodore news https://www.tomshardware.com/video-games/retro-gaming/commodore-acquired-for-a-low-seven-figure-price-new-acting-ceo-comes-from-the-retro-community  https://www.timeextension.com/news/2025/06/this-man-is-buying-commodore  Upcoming Shows Silly Venture SE (Summer Edition) - July 31-Aug. 3 - Gdansk, Poland - https://www.demoparty.net/silly-venture/silly-venture-2025-se  VCF West - August 1-2 - Computer History Museum in Mountain View, CA - https://vcfed.org/2025/03/05/vcf-west-2025-save-the-date/  Fujiama - August 11-17 - Lengenfeld, Germany - http://atarixle.ddns.net/fuji/2025/  VCF Midwest - September 13-14, 2025 - Renaissance Schaumburg Convention Center in Schaumburg, IL - http://vcfmw.org/  Portland Retro Gaming Expo - October 17-19 - Oregon Convention Center, Portland, OR - https://retrogamingexpo.com/  YouTube Videos Fixing bad key switches all at once (Atari 800XL AWC Type 2) - Adrian's Digital Basement - https://www.youtube.com/watch?v=zsSiEtSomQI  Fixing a dead and dirty Atari 800XL - Adrian's Digital Basement - https://www.youtube.com/watch?v=ljBofLMPIeA  Repairing a smashed-up Atari 400 computer - Adrian's Digital Basement - https://www.youtube.com/watch?v=_H4v-LVztk0  Atari 8-Bit Reborn Smaller Than a Quarter—It Actually Works! + More Retro News! - Bit By Bit - https://www.youtube.com/watch?v=OT3kTi-hX_o  Connecting a 15KHz CRT monitor to a Sophia 2 Atari 8-bit via the DVI-I jack - FlashJazzCat - https://www.youtube.com/watch?v=SaFCzydsUTI   New at Archive.org  https://archive.org/details/clevatari-newsletter-issue-77-dec-1987  https://archive.org/details/clevatari-newsletter-oct-1987  https://archive.org/details/gtia-demonstration-diskette-apx  https://archive.org/details/transdisk-iv-version-4-2-manual-page-6-software/  Dutch “Atari Users Foundation” - https://archive.org/details/escape2_202506/  New at Github CP/M on the Atari 8-bit - https://github.com/davidgiven/cpm65/blob/master/README.md  https://github.com/nwah/fn-printer-examples  https://github.com/itaych/Ice-T  https://github.com/Cap-14/Atari-Cold-War  https://github.com/seban-slt/antyajek  Feedback (Kevin Lund) VCF-W exhibit page with Atari entry write up - https://vcfed.org/events/vintage-computer-festival-west/vcf-west-exhibits/  Dropcheck's 1450XL Replica PCB - https://www.bitsofthepast.com/1450XL_Replica.html  B & C ComputerVisions - Atari Sales & Service - https://www.myatari.com/  Best Electronics - https://www.best-electronics-ca.com/  Video61 and Atari Sales - http://www.atarisales.com/main.html  Eight Bit Fix (Paul Westphal) - https://www.eightbitfix.com/   

Michael from 0G.AI joins Sam to discuss how they're building the AI operating system of the decentralized world. From decentralized compute and high-throughput storage to local consensus clusters and alignment networks, 0G is tackling the hardest infrastructure challenges at the intersection of AI and blockchain. With over 10 million wallets, 500+ companies building on Testnet, and $350M raised, this episode unpacks how they're enabling verifiable, transparent AI for real-world use—like embedded agents, robotics, and fully decentralized model training.Timestamps[00:00:00] Introduction: Sam introduces Michael and outlines 0G's massive traction and mission.[00:01:00] Michael's Journey: From Bitcoin in grad school to ICOs and the AI-Web3 crossroads.[00:03:00] What 0G Solves: The case for cheat-proof, transparent AI and blockchain-based provenance.[00:05:00] Infrastructure: Testnet, L1, decentralized storage, compute layers, and upcoming mainnet.[00:06:30] Technical Hurdles: From hot storage to random access proofs, DA throughput, and consensus layers.[00:10:00] Why Build a New L1?: Why Ethereum wasn't enough—and the Tesla analogy for Web3 UX.[00:12:00] Scaling Users: How 0G reached 10M wallets—partnerships, KOLs, and atomic brand activation.[00:14:00] Node Sale & Community: 9,000+ node holders and the power of real ownership over airdrops.[00:15:00] Trends in Web3: Stablecoins, agents, better UX, DEX innovation, and model training.[00:16:00] What's Coming: Why robotics and embedded AI will push blockchain to the edge.[00:18:00] Survivorship Bias: Why closed models are dangerous and open-source is key for alignment.[00:21:00] Education Revolution: AI-powered collaborative schooling and what it means for society.[00:22:30] Roadmap: Scaling decentralized compute, proof of useful work, and agent-to-agent networks.[00:24:00] $88M Ecosystem Fund: Who it's for and how founders can plug into 0G's stack.[00:25:00] Final CTA: Join the community, build with 0G, and explore the intersection of AI x Web3.Connecthttps://0g.ai/https://x.com/0G_labshttps://x.com/michaelh_0ghttps://www.linkedin.com/company/0g-labs/https://www.linkedin.com/in/mheinrich/DisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wall Timestamps 00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI Improved Noam's Human Play 05:00 Turing Test Failures in Chat: Hallucinations & Steerability 07:30 Reasoning Models & Fast vs. Slow Thinking Paradigm 11:00 System 1 vs. System 2 in Visual Tasks (GeoGuessr, Tic-Tac-Toe) 14:00 The Deep Research Existence Proof for Unverifiable Domains 17:30 Harnesses, Tool Use, and Fragility in AI Agents 21:00 The Case Against Over-Reliance on Scaffolds and Routers 24:00 Reinforcement Fine-Tuning and Long-Term Model Adaptability 28:00 Ilya's Bet on Reasoning and the O-Series Breakthrough 34:00 Noam's Dev Stack: Codex, Windsurf & AGI Moments 38:00 Building Better AI Developers: Memory, Reuse, and PR Reviews 41:00 Multi-Agent Intelligence and the “AI Civilization” Hypothesis 44:30 Implicit World Models and Theory of Mind Through Scaling 48:00 Why Self-Play Breaks Down Beyond Go and Chess 54:00 Designing Better Benchmarks for Fuzzy Tasks 57:30 The Real Limits of Test-Time Compute: Cost vs. Time 1:00:30 Data Efficiency Gaps Between Humans and LLMs 1:03:00 Training Pipeline: Pretraining, Midtraining, Posttraining 1:05:00 Games as Research Proving Grounds: Poker, MTG, Stratego 1:10:00 Closing Thoughts – Five-Year View and Open Research Directions Chapters 00:00:00 Intro & Guest Welcome 00:00:33 Diplomacy AI & Cicero Insights 00:03:49 AI Safety, Language Models, and Steerability 00:05:23 O Series Models: Progress and Benchmarks 00:08:53 Reasoning Paradigm: Thinking Fast and Slow in AI 00:14:02 Design Questions: Harnesses, Tools, and Test Time Compute 00:20:32 Reinforcement Fine-tuning & Model Specialization 00:21:52 The Rise of Reasoning Models at OpenAI 00:29:33 Data Efficiency in Machine Learning 00:33:21 Coding & AI: Codex, Workflows, and Developer Experience 00:41:38 Multi-Agent AI: Collaboration, Competition, and Civilization 00:45:14 Poker, Diplomacy & Exploitative vs. Optimal AI Strategy 00:52:11 World Models, Multi-Agent Learning, and Self-Play 00:58:50 Generative Media: Image & Video Models 01:00:44 Robotics: Humanoids, Iteration Speed, and Embodiment 01:04:25 Rapid Fire: Research Practices, Benchmarks, and AI Progress 01:14:19 Games, Imperfect Information, and AI Research Directions

Explore FSx for Lustre's new intelligent storage tiering that delivers cost savings and unlimited scalability for file storage in the cloud. Plus, discover how the new Model Context Protocol (MCP) servers are revolutionizing AI-assisted development across ECS, EKS, and serverless platforms with real-time contextual responses and automated resource management. 00:00 - Intro, 00:52 - Introduction new storage class, 03:43 - MCP Servers, 07:18 - Analytics, 09:34 - Application Integration, 15:52 - Business Applications, 16:21 - Cloud Financial Management, 17:44 - Compute, 20:44 - Containers, 21:31 - Databases, 24:25 - Developer Tools, 25:42 - End User Computing, 25:58 - Gaming, 26:34 - Management and Governance, 28:35 - Marketplace, 28:51 - Media Services, 29:29 - Migration and Transfer, 30:01 - Networking and Content Delivery, 34:01 - Security Identity and Compliance, 34:43 - Serverless, 35:06 - Storage, 36:55 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250613-185437.html