Podcasts about compute

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

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, they discuss open-source models in China and the US, the compute arms race, tariffs and the reordering of global trade, and more. Enjoy another episode of BG2!Timestamps:(00:00) Intro(3:55) Open-Source Models in China(17:54) Future of American Open-Source Models(26:30) Compute Arms Race(47:05) China, Tariffs, and Reordering of Global TradeShow Notes:Artificial Analysis - Intelligence vs. PriceMary Meeker Bond Deck Produced by Benny BeausoleilMusic by Yung SpielbergAvailable on Apple, Spotify, www.bg2pod.comFollow:Brad Gerstner @altcapBill Gurley @bgurleyBG2 Pod @bg2pod

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

Compute in the automobile is (again) moving toward consolidation and away from the discrete nature of multiple processors around the vehicle. Is this a trend that's going to stick? I guess it depends on who you ask. In this case, I asked Robert Moran, the GM & VP for Automotive Processors at NXP Semiconductors. As we add AI and autonomous drive to the software-defined vehicle (SDV), a move like this is pretty much a requirement. Hear it right from the horse's mouth on this week's Embedded Executives podcast.

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

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

What do you do with the world's largest supercomputer? This week, Technology Now looks further at the world of supercomputers and explores what the world's largest supercomputer, El Capitan, and it's sister machine, Tuolumne, are used for. Rob Rieben, a computational physicist at Lawrence Livermore National Laboratory, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.About Rob: https://www.linkedin.com/in/rieben1/SourcesWhat are supercomputers used for:https://www.anl.gov/science-101/supercomputingToday I learned: https://www.england.nhs.uk/2025/05/nhs-first-in-world-to-roll-out-revolutionary-blood-test-for-cancer-patients/https://www.theguardian.com/society/2025/may/29/revolutionary-dna-blood-test-to-offer-thousands-in-england-tailored-cancer-careThis week in history:https://www.esa.int/About_Us/50_years_of_ESA/50_years_of_humans_in_space/First_woman_in_space_Valentina

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

Chris Lattner of Modular (https://modular.com) joined us (again!) to talk about how they are breaking the CUDA monopoly, what it took to match NVIDIA performance with AMD, and how they are building a company of "elite nerds". X: https://x.com/latentspacepod Substack: https://latent.space 00:00:00 Introductions 00:00:12 Overview of Modular and the Shape of Compute 00:02:27 Modular's R&D Phase 00:06:55 From CPU Optimization to GPU Support 00:11:14 MAX: Modular's Inference Framework 00:12:52 Mojo Programming Language 00:18:25 MAX Architecture: From Mojo to Cluster-Scale Inference 00:29:16 Open Source Contributions and Community Involvement 00:32:25 Modular's Differentiation from VLLM and SGLang 00:41:37 Modular's Business Model and Monetization Strategy 00:53:17 DeepSeek's Impact and Low-Level GPU Programming 01:00:00 Inference Time Compute and Reasoning Models 01:02:31 Personal Reflections on Leading Modular 01:08:27 Daily Routine and Time Management as a Founder 01:13:24 Using AI Coding Tools and Staying Current with Research 01:14:47 Personal Projects and Work-Life Balance 01:17:05 Hiring, Open Source, and Community Engagement

Carmen Li spent decades in financial services across trading floors and data companies before spotting a massive inefficiency in the AI/compute economy. After managing global data partnerships at Bloomberg, she witnessed AI startups struggling with unpredictable compute costs that could swing their margins from healthy profits to devastating losses overnight. Drawing parallels to how airlines hedge oil prices through futures markets, Carmen realized that compute—despite being one of the fastest-growing commodities—lacked basic risk management tools. Within months of leaving Bloomberg, she built Silicon Data into the world's first GPU compute risk management platform, raising $5.7M without ever creating a pitch deck and publishing the industry's first GPU compute index on Bloomberg Terminal. Topics Discussed: The systemic problem of compute cost volatility destroying AI company margins Why compute lacks the risk management tools available in every other commodity market Building the world's first GPU compute index and benchmarking service Raising venture capital without pitch decks through product-first demonstrations Operating as a solo non-technical founder leading a team of engineers The unique buyer dynamics when selling to CTOs, portfolio managers, and AI researchers simultaneously GTM Lessons For B2B Founders: Price on value, not cost, and let customer conversations reshape your understanding: Carmen admits that every client conversation changes her valuation of the product's impact, typically making it bigger than initially thought. She prices based on the value delivered rather than cost structure. B2B founders should remain flexible in their value proposition and pricing as they learn more about customer impact through direct engagement. Product demonstrations beat pitch decks for technical buyers: Carmen raised $5.7M without ever creating a pitch deck, instead letting prospects interact directly with her product and writing a simple memo. For technical products solving complex problems, demonstrating actual capabilities often proves more effective than polished presentations. B2B founders should prioritize building working products over perfecting sales materials. Embrace being the "dumbest person in the room" for learning velocity: Carmen describes consistently being the least technical person in rooms full of CTOs, AI researchers, and GPU experts, but leverages this as a learning advantage. She asks hard questions and co-creates products on the fly based on these conversations. B2B founders should view knowledge gaps as opportunities for rapid learning rather than weaknesses to hide. Target systemic problems that span multiple sophisticated buyer types: Silicon Data serves everyone from chip designers to hedge funds to AI companies, requiring Carmen to handle technical GPU questions, financial modeling queries, and AI workflow concerns in single meetings. This breadth creates natural expansion opportunities and defensibility. B2B founders should look for problems that affect multiple stakeholder types within their target market. Leverage unique background intersections to spot obvious-but-overlooked opportunities: Carmen's combination of financial services expertise and data company experience let her quickly identify that compute needed the same risk management tools available in every other commodity market. The solution was "extremely intuitive" to her but invisible to others. B2B founders should examine how their unique background combinations reveal opportunities others might miss.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM   

How do you make the world's fastest supercomputer? This week, Technology Now dives into the world of supercomputers, and how El Capitan, the world's largest supercomputer, was built. We will explore the software and hardware requirements as well as investigating the physical requirements needed to even be able to run a supercomputer on your premises. Bronis de Supinski, CTO of Livermore Computing at Lawrence Livermore National Laboratory, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it.About Bronis: https://www.linkedin.com/in/bronis-de-supinski-607a441/SourcesEl Capitanhttps://www.hpe.com/us/en/newsroom/press-release/2024/11/hewlett-packard-enterprise-delivers-worlds-fastest-direct-liquid-cooled-exascale-supercomputer-el-capitan-for-lawrence-livermore-national-laboratory.htmlWhat are FLOPShttps://www.techtarget.com/whatis/definition/FLOPS-floating-point-operations-per-secondToday I LearnedMa. Y., et all, 2025, Near-infrared spatiotemporal colour vision in humans enabled by upconversion contact lenses, ISSN 0092-8674, 10.1016/j.cell.2025.04.019 https://www.cell.com/cell/fulltext/S0092-8674(25)00454-4This Week in Historyhttps://www.bbc.co.uk/future/article/20201028-history-of-the-ballpoint-penhttps://spinoff.nasa.gov/space-pens

Akamai, a leading content delivery network (CDN) provider, has countered a decline in its CDN business by expanding into security and compute services, which offer much higher growth. These areas may expand at a double-digit rate over the next 3-5 years, with their combined revenue accounting for over two-thirds of sales and 100% of the company's growth. In this episode of the Tech Disruptors podcast, CEO Tom Leighton discusses the latest trends in these segments with Bloomberg Intelligence's John Butler. He touches on how these products are shaping Akamai's future growth and strategy. The conversation also covers recent moves to stabilize growth in the CDN business, along with an exploration of how AI is emerging as a new opportunity.

Forget everything you think you know about AI timelines. The world's top AI labs now say AGI—artificial intelligence that surpasses humans at all tasks—is 5 years away, not 50. ChatGPT's 800 million users was just the beginning. When AI can teach better than any professor, diagnose better than any doctor, and code better than any developer, what happens to human work? To education? To you? This isn't futurism—it's a timeline shock that's sending universities into crisis mode. The race to AGI is on, and if you're not preparing now, you're already behind.Opening: From Basketball to AGI's Moon Shot (00:00:00)The Knicks' 25-year drought as metaphor for timeline compressionAGI as "today's moon shot" with labs racing at full throttleThe shift from "will AI get smart?" to "AI is already outthinking us"The Context: Why This Matters Today (00:04:21)ChatGPT's explosive growth: 800 million users in under 3 years—history's fastest tech adoptionCurrent AI still "narrow"—brilliant but limited like a writer who can't do mathSam Altman's bombshell: "We now know how to build AGI"Why education leaders need to understand this shift immediatelyWhat Is AGI and How Is It Different? (00:11:33)The specialist doctor vs. Leonardo da Vinci comparisonAGI capabilities: learns without training, transfers knowledge, solves new problemsOpenAI's definition: outperforms humans at most economically valuable workGoogle DeepMind's bar: matching Einstein's scientific breakthroughsMachines shifting from assistants to peers—or superiorsThe Timeline Shock: Why Now? (00:20:54)Sam Altman: AGI by 2029 (current presidential term)Dario Amodei: AI outsmarts humans by 20262,778 AI researchers: median prediction now 2047, down 13 years in one year10% chance of AGI by 2027—"Would you board that plane?"Compute growing 10x yearly, costs down 99.7%, $212 billion invested in 2024What This Means for the Knowledge Economy (00:27:23)80% of US workforce faces task disruption—all wage and education levelsNot just blue-collar: lawyers, doctors, engineers, executives all impactedMcKinsey already cutting 10% workforce, replacing with AIThe paradox: GDP could 10x while jobs disappearGitHub Copilot at 77,000 organizations, growing 180% yearlyThe Education Paradox (00:33:02)Universities' three pillars: knowledge transfer, certification, communityAGI breaks the first two completelyWhen AI teaches perfectly for free, "what's a lecture for?"When AI outperforms any graduate, "what's a diploma for?"Chegg's stock crash, coding bootcamps struggling, MBA programs questioning valueThree Futures for Universities (00:40:06)Human-Edge College: Small seminars, mentorship, emotional intelligence, ethicsResearch Steward: Ethical guardians of AGI, independent from profit motivesLifelong Learning Platform: Continuous upskilling partner using AI at scaleThe shift from information delivery to human developmentYear One Projection: The AI Teammate Era (00:48:29)AI agents as actual teammates handling meetings, reports, decisionsStudents using AI regardless of policies—adaptation isn't optionalSchools must decide how to integrate, not whetherThe institutions experimenting now vs. those falling behindYear Five Projection: The Hybrid Intelligence Era (00:50:01)2030: Seamless human-AI collaboration across all knowledge workNew jobs emerge: AI psychologists, algorithm auditors, team coordinatorsEvery student with 24/7 personalized AI tutorProfessors transform into coaches, degrees become competency-basedYear Ten Projection: Abundance or Inequality (00:52:51)Best case: Monthly scientific breakthroughs, disease prevention, climate solutionsWorst case: Mass unemployment, extreme inequality, human purpose crisisLarry Ellison's $600B Stargate project for personalized medicineEducation's new role: helping humans find meaning when machines do the workThe Call to Action: Lead or Be Led (00:59:37)Change is coming faster than anyone thinks—decades are now yearsStart experimenting immediately—not next semester, nowFocus on uniquely human qualities: empathy, creativity, ethical reasoningUniversities must become thought leaders, not bystanders"The future isn't fixed—we decide if AGI amplifies or replaces us" - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

Audio note: this article contains 127 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Confidence: Medium, underlying data is patchy and relies on a good amount of guesswork, data work involved a fair amount of vibecoding. Intro:  Tom Davidson has an excellent post explaining the compute bottleneck objection to the software-only intelligence explosion.[1] The rough idea is that AI research requires two inputs: cognitive labor and research compute. If these two inputs are gross complements, then even if there is recursive self-improvement in the amount of cognitive labor directed towards AI research, this process will fizzle as you get bottlenecked by the amount of research compute. The compute bottleneck objection to the software-only intelligence explosion crucially relies on compute and cognitive labor being gross complements; however, this fact is not [...] ---Outline:(00:35) Intro:(02:16) Model(02:19) Baseline CES in Compute(04:07) Conditions for a Software-Only Intelligence Explosion(07:39) Deriving the Estimation Equation(09:31) Alternative CES Formulation in Frontier Experiments(10:59) Estimation(11:02) Data(15:02) Trends(15:58) Estimation Results(18:52) ResultsThe original text contained 13 footnotes which were omitted from this narration. --- First published: June 1st, 2025 Source: https://forum.effectivealtruism.org/posts/xoX936hEvpxToeuLw/estimating-the-substitutability-between-compute-and --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Claude 4 Opus and Sonnet, the most powerful models from Anthropic for coding and advanced reasoning, are now available on Amazon Bedrock. Plus, AWS Transform can now accelerate your Mainframe, .NET and VMWare workload modernization. Learn about these updates and more with your hosts Shruthi and Jillian. 00:00 - Intro, 00:21 - Amazon Bedrock, 03:40 - AWS Transform, 07:51 - EC2 P6/B200 Instances, 11:35 - Analytics, 16:55 - Business Applications, 17:27 - Cloud Financial Management, 17:46 - Compute, 20:14 - Containers, 21:27 - ECS, 21:54 - Databases, 27:08 - Developer Tools, 29:15 - End User Computing, 29:53 - Management & Governance, 32:36 - Migration & Transfer, 35:12 - Networking and Content Delivery, 35:35 - Security Entity and Compliance, 36:07 - Service Changes, 37:06 - Services end of support, 38:26 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250530-194643.html

Interview with James Nagle, Reboot of Compute's Gazette Magazine Patreon: https://www.patreon.com/FloppyDays Sponsors: 8-Bit Classics  Arcade Shopper  FutureVision Research   Hello, and welcome to episode 151 of the Floppy Days Podcast for May, 2025.  My name is Randy Kindig and I'm the host for this ode to computers that only survive in our memories and our collections. This month, I'm continuing to step aside from the ongoing series of episodes about the HP 97/67 programmable calculators to bring you a timely interview that basically constitutes current news.  I don't often do this, but this news was so exciting to me that I wanted to bring this to all my listeners as soon as possible.  The interviewee is James Nagle and the topic is the sudden and welcome news that James is planning to revive the iconic Compute! magazine under the equally-iconic name Compute's Gazette.  I hope you'll stick around to hear about James' plans and are as excited as I am to find out where this goes. For upcoming shows, we do have one more episode in the series on the HP97 with HP calculator historian Wlodek Mier-Jedrzejowicz (“Vwahdek Meer-Yeng SHAY of itch”).  I will air that episode very soon. New Acquisitions and What I've Been Up To C64OS - https://c64os.com/  PiStorm: https://www.hackster.io/news/hands-on-with-the-pistorm-the-ultimate-raspberry-pi-powered-accelerator-for-your-commodore-amiga-449ef0634f3e  https://www.amigastore.com/pistorm-edition-amiga-p-91328.html  Quick Reference Book - https://floppydaysqr.my.canva.site/  Upcoming Vintage Computer Shows Retrofest 2025 - May 31-June1 - Steam Museum of the Great Western Railway, Swindon, UK - https://retrofest.uk/  Vancouver Retro Gaming Expo - June 14 - New Westminster, BC, Canada - https://www.vancouvergamingexpo.com/index.html  VCF Southwest - June 20-22, 2025 - Davidson-Gundy Alumni Center at UT Dallas - https://www.vcfsw.org/  Southern Fried Gaming Expo and VCF Southeast - June 20-22, 2025 - Atlanta, GA - https://gameatl.com/  Pacific Commodore Expo NW v4 - June 21-22 - Old Rainier Brewery Intraspace, Seattle, WA - https://www.portcommodore.com/dokuwiki/doku.php?id=pacommex:start  KansasFest - July 18-20 - Virtual only - https://www.kansasfest.org/  INIT HELLO Apple II Conference - July 26-27 - System Source Computer Museum in Hunt Valley, MD - https://init-hello.org/  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/  Tandy Assembly - September 26-28 - Courtyard by Marriott Springfield - Springfield, OH - http://www.tandyassembly.com/  Portland Retro Gaming Expo - October 17-19 - Oregon Convention Center, Portland, OR - https://retrogamingexpo.com/  Chicago TI International World Faire - October 25 - Evanston Public Library, Evanston, IL - https://www.chicagotiug.org/home  Schedule Published on Floppy Days Website - https://docs.google.com/document/d/e/2PACX-1vSeLsg4hf5KZKtpxwUQgacCIsqeIdQeZniq3yE881wOCCYskpLVs5OO1PZLqRRF2t5fUUiaKByqQrgA/pub  Feedback HP-97S: https://www.hpmuseum.org/hp97s.htm https://www.johnwolff.id.au/calculators/laboratory/laboratory.htm Interview Links New Compute's Gazette Website - https://www.computesgazette.com/ Compute's Gazette collection at archive.org - https://archive.org/details/computes.gazette

The Vault is a morning show hosted on Twitter Spaces and YouTube Live on Tuesdays, Wednesdays, and Thursdays at 11:30 am EST. The show focuses on multi-chain communities, emerging protocols, NFTFi, DeFi, Gaming, and, most importantly, collecting digital assets.Adam McBride: https://twitter.com/adamamcbrideJake Gallen: https://twitter.com/jakegallen_Chris Devitte: https://twitter.com/chris_devvEmblem Vault: https://twitter.com/EmblemVault

What if your rooftop solar could do more than just power your fridge?Karl Andersen believes it can—and should—power the future of AI.Karl unpacks the grid's biggest vulnerabilities, why data centers lack critical power infrastructure, and how we can turn solar-powered homes into the building blocks of a decentralized compute network. Lektra's tech fuses distributed energy with cloud computing—think “Raspberry Pi meets Tesla Powerwall meets AI.” The result? A game-changing business model where solar homeowners become micro data centers—and start earning like one.From national security concerns to GPU monetization, Karl walks us through why our energy and data systems are broken—and how his patented solution bridges both.Expect to learn:

Nova Premier is our most advanced AI model yet, featuring a million-token context window and enhanced capabilities at nearly half the cost of competitors. Dive into this update and more with hosts Simon and Jillian. 00:00 - Intro 00:31 - Amazon Nova Premier 02:56 - Analytics 04:46 - Artificial Intelligence 11:02 - Business Applications 11:38 - Cloud Financial Management 11:57 - Compute 12:10 - Contact Center 14:50 - Containers 15:13 - Database 17:52 -Developer Tools 18:08 - Management and Governance 20:25 - Networking 22:48 - Marketplace 24:04 - Security Identity End Compliance 26:09 - Storage 27:56 - Outro Show Notes: https://dqkop6u6q45rj.cloudfront.net/shownotes-20250516-191312.html

A large contingent of Silicon Valley CEOs followed President Donald Trump to Saudi Arabia this week, where a number of them announced billions of dollars in AI-related investments and business partnerships. Mohammed Soliman, a senior fellow at the Middle East Institute, says this is the new Middle East — where the relationship with the U.S. is driven by tech and innovation, not just oil and security. On POLITICO Tech, Soliman tells host Steven Overly how this new arrangement benefits tech companies and Gulf nations — and why it's necessary if the U.S. hopes to stay ahead of China.  Steven Overly is the host of POLITICO Tech and covers the intersection of trade and technology. Nirmal Mulaikal is the co-host and producer of POLITICO Energy and producer of POLITICO Tech. Learn more about your ad choices. Visit megaphone.fm/adchoices

Piotr Tomasik, Co-Founder & President of TensorWave, who’s powering the next wave of AI compute with AMD-optimized super-cloud infrastructure and building Las Vegas into a … Read more The post Powering the AI Revolution: How TensorWave’s AMD Supercloud Is Solving Compute Bottlenecks appeared first on Top Entrepreneurs Podcast | Enterprise Podcast Network.

Lennart Heim, a researcher and information scientist at RAND Corporation, joins Azeem Azhar to unpack a provocative claim: China is catching up with US AI capabilities, but it doesn't matter. Timestamps: (00:00) Episode trailer (01:19) Lennart's core thesis (03:26)   Why compute matters so much (07:31)  The investment split between model R&D and model execution (11:18)  How test-time compute impacts costs (16:14) The geopolitics of compute (21:32) Why does the U.S have more compute capacity than China? (25:01)  The trade-off between economic needs and national-security needs (31:54)  How technology change might shift the battlegrounds (35:33)  Dealing with compute and power concentration (48:19)  Concluding quick-fire question  Lennart's links: Twitter/X: https://twitter.com/ohlennartPersonal blog: https://heim.xyz/Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemThis was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

Carl Peterson, CEO of Thunder Compute uncovers how Thunder Computer is redefining GPU utilization by enabling network-attached virtual GPUs—dramatically slashing costs and democratizing access. Carl shares the startup's Y Combinator origin story, the impact of DeepSeek, and how virtualization is transforming AI development for individuals and enterprises alike. We also unpack GPU security, job disruption from AI, and the accelerating arms race in model development. A must-listen for anyone navigating AI, compute efficiency, and data protection.

Description: Learn how you can use the all new Amazon Q Developer integration with GitLab Duo to automate code generation and review, plus even more updates from AWS. 00:00:00 - Intro, 00:00:28 - SWE Holly Bench, 00:04:31 - Analytics, 00:06:49 - Application Integration, 00:07:14 - Artificial Intelligence, 00:08:53 - Amazon Bedrock Data Automation, 00:14:11 - AWS Health Omex, 00:14:21 - Compute, 00:16:37 - Contact Centers, 00:17:25 - Containers, 00:17:46 - Databases, 00:18:18 - Front end Web and Mobile, 00:18:59 - Management and Governance, 00:20:07 - Migration and Transfer, 00:20:17 - Networking and Content Delivery, 00:20:44 - Security Identity End Compliance, 00:23:24 - Serverless, 00:24:01 - Storage, 00:24:41 - Wrap up Shownotes: https://d29iemol7wxagg.cloudfront.net/719ExtendedShownotes.html

Learn about the latest new FM in the Nova family that simplifies conversational AI with low latency, and build safely with new capabilities for Amazon Bedrock Guardrails. 00:00 - Intro, 00:27 - Amazon Nova Sonic, 03:13 - Amazon Bedrock Guardrails, 05:23 - Analytics, 08:18 - Application Integration, 08:37 - Artificial Intelligence, 12:06 - Business Applications, 13:01 - Cloud Financial Management, 13:44 - Compute, 15:04 - Contact Center, 16:29 - Containers, 16:49 - Databases, 19:57 - Developer Tools, 20:59 - Frontend Web and Mobile, 21:20 - Management and Governance, 23:39 - Media Services, 25:37 - Migration and Transfer, 26:46 - Networking and Content Delivery, 28:45 - Artificial Intelligence, 29:58 - Security, Identity, and Compliance, 32:51 - Serverless, 33:57 - Storage, 37:29 - Wrap up Show Notes: https://dqkop6u6q45rj.cloudfront.net/run-sheet-20250418-173723.html

Tim Fist, Director of Emerging Technology Policy at the Institute for Future Progress, and Arnab Datta, Director of Infrastructure Policy at IFP and Managing Director of Policy Implementation at Employ America, join Kevin Frazier, a Contributing Editor at Lawfare and adjunct professor at Delaware Law, to dive into the weeds of their thorough report on building America's AI infrastructure. The duo extensively studied the gulf between the stated goals of America's AI leaders and the practical hurdles to realizing those ambitious aims.Check out the entire report series here: Compute in AmericaTo receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.