Podcasts about open source ai

Sriram Krishnan joins Theo Jaffee and Sofia Puccini just after concluding his tenure as Senior White House Policy Advisor on AI to discuss one of the biggest weeks yet for open-source AI. They unpack the rapid release of models including Kimi K3 and Qwen, why open models are putting pressure on frontier labs, and what it means for pricing, competition, and the future of AI infrastructure. They also discuss AI policy, distillation, cybersecurity, the role of open-weight models, whether the U.S. should respond to China's growing AI capabilities, and how governments and frontier labs should navigate the next phase of AI development.   Resources: Follow Sriram Krishnan on X: https://x.com/sriramk Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia Puccini on X: https://x.com/schisofrenia Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Conner Brown from the Bitcoin Policy Institute joins to break down AI and Bitcoin policy moving through Washington. We cover Taiwan's legislative push for Bitcoin reserves, foreign influence campaigns targeting American data centers, and why open source AI matters for crypto adoption. Plus: how AI agents are already choosing Bitcoin, the real story behind company brains and LLM workflows, and the fight to keep DC from regulating innovation out of existence. Conner on X: https://x.com/BitcoinConner Bitcoin Policy Institute: https://www.btcpolicy.org/ Find the Home Mining Playbook here: https://www.tftc.io/home-mining-energy-playbook STACK SATS hat: https://tftcmerch.io/ Our newsletter: https://www.tftc.io/bitcoin-brief/ TFTC Elite (Ad-free & Discord): https://www.tftc.io/#/portal/signup/ Discord: https://discord.gg/yHGkvYxdqT Opportunity Cost Extension: https://www.opportunitycost.app/ Shoutout to our sponsors: Block: Cash App: For a limited time, new customers can get $21 added to their balance. Just use code TFTC10 when you sign up, and send at least $5 to a friend in the first two weeks. Terms apply. Bitcoin services by Block, Inc. See the Bitcoin disclosures at cash.app/legal/podcast. Square: Visit http://square.com/go/**tftc** for up to $200 off eligible Square hardware. Bitkey: Use code TFTC10 for 10% off the new Bitkey. Aven https://www.aven.com/bitcoin CrowdHealth https://www.joincrowdhealth.com/tftc Unchained https://unchained.com/tftc/ Salt of the Earth: https://drinksote.com/tftc Join the TFTC Movement: Main YT Channel https://www.youtube.com/c/TFTC21/videos Clips YT Channel https://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQ Website https://tftc.io/ Newsletter tftc.io/bitcoin-brief/ Twitter https://twitter.com/tftc21 Instagram https://www.instagram.com/tftc.io/ Nostr https://primal.net/tftc Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/martybent Newsletter https://tftc.io/martys-bent/ Podcast https://www.tftc.io/tag/podcasts/ Disclosure: Bitcoin services are provided by Block, Inc. Bitcoin services are not licensable activity in all U.S. states and territories, and not all services are available in all states. Bitkey is not available in New York. Block, Inc. operates in New York as Block of Delaware and is licensed to engage in virtual currency business activity by the New York State Department of Financial Services. Bitcoin is a non-deposit, non-bank product that is not FDIC insured and involves risk, including monetary loss. For additional information, see the Bitcoin disclosures: https://help.cash.app/btcdisclosures Get up to $200 off Square hardware when you sign up at http://square.com/go/tftc**!** #squarepartner. Offer expires December 31, 2026 at 11:59 pm PST. Offer for $40 off the cost of one Square Stand, $75 off the cost of one Square Terminal, $100 off the cost of one Square Handheld, or $200 off the cost of one Square Register, excluding applicable taxes. Limited to one discount per product type per seller account. Each code is limited to one redemption per account holder. Valid for new Square customers located in the US only. Offer not valid with guest checkout. Square reserves the right to modify, revoke or cancel the offer at any time. Offer cannot be combined with any other coupon. Void where prohibited, not redeemable for cash, and non-transferable. #squarepartner #blockpartner

Stay informed on current events, visit www.NaturalNews.com  - Trump Administration's Potential Ban on China-Based AI Models (0:11) - Anthropic's Use of Pirated Books and Fair Use Ruling (1:09) - Authors' Reactions and Settlement Details (4:38) - Fair Use and Transformative Use in AI Models (9:35) - Challenges and Opportunities in AI Model Development (20:27) - Impact of AI Model Bans on U.S. Corporations (31:46) - Resistance to AI Model Bans and Legal Challenges (34:37) - Global Competition and AI Model Development (37:33) - Potential Solutions and Alternatives to AI Model Bans (41:27) - Final Thoughts and Call to Action (41:48) - Implications of the Genius Act and Tether (59:17) - Triffin's Dilemma and Manufacturing Reshoring (1:22:42) - Impact of AI on the Financial Industry (1:25:32) - Silver Market Dynamics (1:30:11) - Breaking News: AI Cooperation Agreement (1:41:11) - Silver's Industrial Demand and Military Applications (1:46:08) - After-Party Discussion: Financial Strategies and Decentralization (1:57:17) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

As governments weigh new restrictions on frontier AI models, one question is becoming increasingly important: what role should open source play in the future of artificial intelligence? Theo Jaffee and Sofia Puccini speak with Hugging Face CEO Clément Delangue about AI regulation, open source safety, model routing, and why he believes competition—not consolidation—is essential for the industry's future. They discuss GPT-5, government oversight of frontier models, Hugging Face surpassing $100 million in annual recurring revenue, local AI, China's open-source ecosystem, Europe's AI ambitions, and why routing workloads across specialized models could fundamentally reshape where value is created in AI.   Resources: Follow Clément Delangue on X: https://x.com/ClementDelangue Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia Puccini on X: https://x.com/schisofrenia Follow MTS on X: https://x.com/mtslive Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Lin Qiao is the Co-Founder and CEO of Fireworks AI, the leading specialized intelligence and AI inference platform that last week raised $1.5BN at a whopping $17BN valuation. With just 200 people, the company has hit $1BN in ARR and expects to hit $2BN before the end of the year. Prior to Fireworks, Lin spent several years at Meta including on the founding team of PyTorch.  AGENDA: 00:07 — Why Did Fireworks Bet on Inference When Everyone Else Was Chasing Training? 00:13 — Can Open-Source Models Turn AI Infrastructure into a Commodity? 00:19 — Should Enterprises Trust Chinese Open Models With Their Most Sensitive Data? 00:25 — Will Model Progress Keep Moving This Fast—or Are We Nearing a Plateau? 00:28 — Will the Multi-Model World Create a $100BN Routing Layer? 00:37 — How Much Will AI Token Usage Explode Over the Next Two Years? 00:43 — Will Token Costs Fall 10x—and Unleash 100x More Demand? 00:49 — Does Fireworks Eventually Have to Build Its Own Data Centres? 01:02 — What Is the Real Bottleneck Holding Back the AI Economy?  

Linus delivers a blunt verdict on AI in the Linux kernel, Chris finds the remote Linux desktop that finally works, and Brent gives his notes system a serious rebuild.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Aaron Neyer, founder of Parachute and community organizer in Boulder, about knowledge management, extended minds, and the intersection of AI with human consciousness. They explore how Parachute functions as a digital brain tool for organizing thoughts and information across fragmented systems, discuss the dangers of AI psychosis and over-reliance on technology, and debate open source AI development versus controlled releases by companies like Anthropic. The conversation weaves through topics including the limitations of metrics-driven business thinking, consciousness and relevance realization, the value of technological sabbaths, and Aaron's hope for locally-run open source models that protect personal data while still accessing more powerful gated models when needed. You can find Aaron's writing at unforced.org and unforced.substack.com, and learn more about Parachute at parachute.computer and parachute.computer/blog.Timestamps00:00 Stewart welcomes Aaron Neyer, founder of Parachute and Boulder community organizer, discussing the origin of Parachute's name from Frank Zappa's quote about open minds.05:00 Aaron explains Parachute as an extended mind tool for organizing notes, contacts and information across multiple platforms, emphasizing the distinction between primary mind and extended mind as interconnected systems.10:00 Discussion shifts to metrics-driven business culture and the limitations of pure rationality, exploring how Google's data-driven approach misses subjective experience and the whole picture of relationships.15:00 Aaron discusses AI's ability to help identify relevant variables across different domains and the dangers of AI psychosis, comparing it to cult dynamics and belief systems.20:00 The conversation covers AI sabbaths and nineties retreats as intentional breaks from technology, plus Aaron's experiences with electrical engineering and using AI to design circuits with Arduinos.25:00 Exploring forbidden knowledge and open source AI, Aaron discusses Anthropic's guardrails around powerful models while arguing for distributed access to prevent concentration of power.30:00 Deep dive into open source AI strategy, with Aaron highlighting NVIDIA's approach and the potential for running capable models locally while reserving ultra-intelligent models for complex research tasks.35:00 Aaron shares his vision for local Sonnet-class models handling personal data while accessing Fable-class models for deep research, and directs listeners to unforced.org and parachute.computer for his writing.Key Insights1. The philosophy behind Parachute stems from Frank Zappa's quote that the mind is like a parachute and doesn't work if it isn't open. Aaron Neyer explains that having an open mind is valuable, but it must be balanced with deep roots to avoid becoming untethered. He has experienced periods in his life where excessive openness led him to feel disconnected, teaching him that creativity and expansion need to be grounded in something substantial. This same principle applies to how we organize information digitally, where openness and interoperability allow our extended minds to become more connected and coherent, which in turn helps our primary minds think more clearly.2. Parachute is designed as an extended mind tool that addresses the fragmentation problem in how we currently manage information. Most people use multiple disconnected tools like Obsidian, Notion, Apple Notes, Google Keep, and various CRMs to organize their thoughts, notes, and relationships. These systems don't communicate well with each other, creating inefficiency and confusion. Parachute aims to create a simple, intuitive system where all this information can be organized in one place with true interoperability, allowing users to own their data and have it speak effectively with other tools, ultimately making our entire extended mind more functional.3. Understanding ourselves as unified body mind organisms rather than fragmented parts is essential for effectiveness. Living systems theory shows that any living system is three things: a membrane bound dissipative structure, a self regulating autopoietic network, and a cognitive process actively knowing the world. Western civilization since Descartes and Galileo has created artificial separation between body and mind, and between subjective and objective experience, which limits our effectiveness. The same fragmentation affects our digital technology, and recognizing both our biological and digital systems as coherent wholes rather than disconnected parts makes us vastly more capable.4. The relationship between data driven approaches and holistic thinking reveals important limitations in modern business and science. While working at Google, Aaron observed how data driven decision making can be powerful, but over reliance on metrics like ROI creates blindness to crucial unmeasurable factors like goodwill and relationship quality. This reflects a broader Western tendency to exclude subjective experience because it's difficult for objective science to measure. However, emotions, relationships, and other subjective elements are essential parts of reality, and focusing only on quantifiable metrics means missing the whole picture and ultimately becoming less effective despite appearing more rational.5. AI accelerates the ability to work with technical complexity by helping with relevance realization across domains where we lack expertise. In any specialized field, experts develop intuitive senses for which variables matter and can quickly identify problems, whether in computer troubleshooting, music, or cooking. AI's ability to generalize allows it to point people toward relevant solutions in areas where they haven't developed that intuitive expertise, effectively democratizing technical capability. This means people can direct their creativity more effectively across more domains, though it also raises concerns about giving powerful capabilities to those who may lack the wisdom to use them responsibly.6. The question of open source AI versus gated access involves complex tradeoffs between democratizing power and preventing harm. Aaron respects Anthropic's approach of creating guardrails around powerful models like Mythos, which would likely have caused significant system hacks if released without restrictions. However, this creates concerning power dynamics where only wealthy companies, governments, and their allies have access to the most powerful tools. NVIDIA offers hope through their truly open source approach including full training pipelines, and there may be a viable path where open source models at the Sonnet capability level handle most tasks locally while more powerful Fable class models remain gated for the most demanding work.7. Creating intentional breaks from AI and technology is essential for maintaining clear independent thinking. Aaron practices an AI Sabbath at least one day per week when he doesn't interact with AI, and he finds these are the days when he does his best thinking and journaling. Without these breaks, he finds himself constantly jumping between journaling and prompting AI rather than giving himself space for deep reflection. This pattern mirrors broader concerns about AI consistency creating cult like dynamics similar to organized religion, where constant immersion in a belief system or technology can lead to losing the ability to think independently, making periodic disconnection crucial for maintaining cognitive autonomy and clarity.

Steven Dickens doesn't see Alibaba's (BABA) new LLM or any other Chinese innovation in the space as a headwind for the U.S. While the models are cheaper than counterparts, he doesn't expect commercial businesses to face strong competitive pressures. Additionally, Steven sees the hyperscalers still prevailing as the ultimate winners of the AI race due to their role as "toll booths" in the trade. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Chinese startup Moonshot AI has unveiled Kimi K3, the world's largest open-source AI model by parameter count, with capabilities approaching those of leading closed-source models.

Hey yall, Alex here, Huge thanks to Wolfram for running point on the live show this week. Didn't have tons of time to edit this one, so please skip the first 10 minutes, it's a loop of our new “wait for the live show to start” vid, that I build with HyperFrames and can't wait to tell you about, next week! Today it seems that OpenSource is biting back, with Kimi K3 getting released just a short while after Thinking Machines (Thinky) has released Inkling, their near 1T model. I'm attaching the TL;DR and timestamps for the full show (my AI agents, yes even Fable and Sol are not a match yet at editing down hehe) and I'll spare you the long Fable recap (please do let me know in the comments if you were expecting it) 0:00 – Intro, Alex on vacation, TLDR overview11:35 – TLDR: Thinking Machines, open source, OpenAI news12:34 – Banter: impressions of Sol/Codex, over-verification behavior37:22 – TLDR restart & detailed breakdown48:40 – Open Source AI section begins (Bonsai/Prism ML, Kimi K3)58:42 – Inkling (Thinking Machines) deep dive & 3D model visualization1:10:33 – Kimi K3 discussion & demo comparisons1:27:02 – Frontier Labs: AGI governance framework discussion (Demis Hassabis essay)1:47:04 – Grok Build CLI data leak & OpenAI file deletion incident2:02:15 – This Week's Buzz: Wolfbench results on GPT 5.6 Sol/Terra/Luna2:09:52 – Closing remarks & sign-offThe one-minute version: Mira Murati's Thinking Machines released Inkling, a 975B parameter open-weights MoE under Apache 2.0, the top US open-weights model right now. Moonshot's Kimi K3 went from rumor to released API during the show, confirmed at 2.8 trillion parameters with open weights promised within days, and it's already topping early arena boards. PrismML's Bonsai 27B squeezes a full 27B model into 3.9 gigabytes so it runs on a phone. Codex and ChatGPT Work blew past 9 million users, OpenAI confirmed and explained the Sol file-deletion bug (back up your machines, folks), and xAI's Grok Build CLI got caught uploading entire private repos before open-sourcing the whole thing in response. Plus Wolfram's fresh Wolfbench numbers on the GPT-5.6 family in This Week's Buzz

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Zach Daniel, creator of the Ash Framework and Igniter, VP of Engineering at Remedy Meds, and upcoming ElixirConf keynote speaker, to talk about what sits between an LLM and useful engineering work. Zach reflects on how much has changed since his last appearance on the podcast in October 2024, moving from Igniter, code generation, and project patching into AI agents, context layers, and custom engineering workflows. The conversation explores how deterministic tools and probabilistic LLMs can work together, and why the most useful AI systems often depend on the structure built around the model. We also discuss why teams should be careful about outsourcing the systems that hold their organizational knowledge and decision-making. He shares his perspective on owning the AI stack, building internal knowledge systems, training junior developers in an AI-augmented world, avoiding vendor lock-in, and why Elixir may be especially well-suited for safer agentic workflows. Zach will be a keynote speaker at ElixirConf 2026, September 10–11 in Chicago, and the Elixir Wizards will be there too! Join us and the broader Elixir community, and use promo code Elixirwizards for 10% off in-person or virtual tickets at https://elixirconf.com/ Key topics discussed in this episode: Zach Daniel's work with Ash, Igniter, and AI tooling How software development has changed since 2024 Deterministic code generation vs. LLM-generated code Combining structured tools with AI agents What it means to own your AI stack Organizational knowledge as an engineering “spinal column” Context layers, documentation, and internal workflows Building custom agentic systems Security, vendor lock-in, and open source LLMs Junior developers and apprenticeship in the AI era Why Elixir and the BEAM fit agentic workflows Links mentioned: Ash Framework https://ash-hq.org/ Igniter https://igniter.hexdocs.pm/ Phoenix Framework https://www.phoenixframework.org/ Remedy Meds https://remedymeds.com/ Keynote: Code Generators are Dead. Long Live Code Generators - Chris McCord | ElixirConf EU 2025 https://www.youtube.com/watch?v=ojL_VHc4gLk https://phoenix.hexdocs.pm/Mix.Tasks.Phx.Gen.Live.html LSP https://en.wikipedia.org/wiki/Language_Server_Protocol Claude Code https://claude.com/product/claude-code GitHub Actions https://github.com/features/actions Harness Engineering https://en.wikipedia.org/wiki/Agent_harness
Claude SDK https://code.claude.com/docs/en/agent-sdk/overview Zach's Twitter https://x.com/ZachSDaniel1 ElixirConf https://elixirconf.com/ AshConf https://luma.com/wz4z0iz6 Goatmire https://goatmire.com/Special Guest: Zach Daniel.

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

On today's show, Andrew and Bill begin by parsing the economic data released by the PRC this week, including slower-than-expected growth, the Party's response to the status quo, export-powered growth that is widening trade imbalances, and the questions all of this will raise for foreign policymakers. From there: The Party's findings on Ma Xingrui, questions that remain unanswered, and cadre risk aversion for the next 18 months. Then: PRC messaging around openness in AI, an ongoing U.S. debate over open-source AI models, three chip bills that may end up in the NDAA, and the continued adventures in China policy on Capitol Hill. At the end: Reflections on the 10th anniversary of The Hague ruling on the PRC's territorial claims in the South China Sea, as well as the state of play today.

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

Connect with Early Riders — https://www.earlyriders.com/contactConnect with Onramp — https://onrampbitcoin.com/contact-us/Presented collaboratively by Early Riders & Onramp Media…Final Settlement is a weekly podcast covering capital markets, dealmaking, early-stage venture, bitcoin applications and protocol development.This week Michael, Liam, and Brian break down the banks' accelerating tokenization push: BlackRock, Goldman Sachs, and JPMorgan joining a 54-firm UK tokenization task force, Swift's blockchain ledger pilot with 17 banks, and what it means for Bitcoin's role in the emerging plumbing. They dig into Satya Nadella's AI sovereignty thesis, Microsoft's Frontier Company data play, Apple's lawsuit against OpenAI, and the Fed's new AI task force under Kevin Warsh. The guys run through a stack of deals: TerraWolf's $19 billion Anthropic infrastructure agreement, OLAMA's $65 million raise, Paradigm's $1.2 billion fourth fund expanding into AI and robotics, and Tether's $20 million investment in Mercado Bitcoin. They close on TradFi's crypto expansion via SBI Holdings and Russia's Alpha Bank, Kraken's $22 million lawsuit win, where the Clarity Act stands ahead of the midterms, and Spiral's new open source push to merge Bitcoin and AI.Chapters00:00 - Introduction and Show Overview00:18 - Market Sentiment and Show Focus01:15 - Banks and Traditional Enterprises in Digital Asset Space02:40 - UK Tokenization Task Force and Use Cases03:40 - Swift Blockchain Ledger Pilot with 17 Banks04:34 - Global Sprint in Tokenized Securities and Deposits07:23 - Bitcoin's Role in the Future of Digital Infrastructure09:39 - The Bullish Case for Bitcoin Amidst Tokenization12:28 - AI Tools and Sovereignty in Data Ownership15:37 - Microsoft's Investment in AI and Data Sovereignty22:16 - Microsoft Frontier Company and Proprietary Data Platforms25:07 - The Importance of Human Agency in AI Adoption28:40 - AI and the Disruption of Traditional Business Models29:08 - Apple Suing OpenAI Over Trade Secrets32:36 - The Long-Term Impact of AI and Open Source Models36:50 - DoorDash's AI Code Reviewer and Internal AI Adoption38:19 - Fed's AI Task Force and Economic Policy43:32 - Russia's Strategic Use of Bitcoin and Digital Assets50:07 - Paradigm's New Fund and Broader Tech Investment55:13 - Traditional Finance's Entry into Crypto and Digital Assets01:02:41 - Regulatory Developments and the Future of Crypto Legislation01:09:18 - Bitcoin's Role in the Future of Digital Infrastructure01:11:21 - Open Source AI and Bitcoin IntegrationIf you found this valuable, please subscribe to Early Riders Insights for access to the best content in the ecosystem weekly: https://www.earlyriders.com/researchKeep up with Michael:https://x.com/MTangumaKeep up with Liam:https://x.com/Lnelson_21Keep up with Brian:https://x.com/BackslashBTC

AI chip maker SambaNova has raised at an $11 billion valuation months after Intel was rumored to be trying to buy it for about $1.6 billion. Plus, Benchmark-backed Ollama has amassed 176,000 stars, and nearly 17,000 forks on Github by helping developers easily run AI on their PCs. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of Agentic Conversations, we're joined by Shaun Smith, software engineer, open source advocate, and contributor at Hugging Face, to explore how AI coding has changed almost overnight.We dive into reinforcement learning, MCP (Model Context Protocol), Fast Agent, Claude Code, open source AI, and why today's language models have become so capable that many traditional software libraries are becoming "liquefied." Shaun explains how reinforcement learning unlocked long-running autonomous agents, why ideas are becoming more valuable than code, and how developers should think about building software in an era where AI can generate entire applications.Along the way, we discuss Hugging Face's MCP server, Fast Agent, AI-powered developer tools, multimodal applications, MCP Apps, context windows, coding assistants, Rust, Python, TypeScript, open-weight models, software architecture, and what the future of programming looks like when humans increasingly focus on design instead of implementation.Shaun Smith: https://www.linkedin.com/in/smithshaunDemetrios: https://www.linkedin.com/in/dpbrinkmHugging Face: https://huggingface.co⏱️ Timestamps[00:00] Introduction[01:56] The State of Open Source AI[05:18] Reinforcement Learning Changed Everything[07:50] Fast Agent Explained[10:18] Fast Agent as an MCP Reference Platform[12:20] Building Smarter AI Tools at Hugging Face[15:17] Natural Language Search Instead of APIs[17:46] Why MCP Apps Matter[20:06] The Evolution of MCP Apps[23:05] Building AI-Native User Interfaces[26:12] Context Is the New Programming Language[28:00] The End of Code Libraries[29:50] Why Developers Aren't Writing Code[31:25] AI Changes Software Engineering[33:05] The Future of Open Source AI[35:43] Claude Skills That Save Hours[38:02] Training Models with AI[39:05] Building Your Own AI Tools[40:50] MCP for Consumers, Enterprises, and Developers[43:42] Why Shell Access Makes Agents Smarter[45:18] Secure Agent Workflows[46:08] The Future of AI Interfaces[47:02] Outro#HuggingFace #MCP #OpenSourceAI

Chinese automakers are rapidly gaining ground in Europe, forcing German giants like Volkswagen, BMW, and Mercedes into cost-cutting mode — and offering a warning of what could happen if Chinese-made EVs break into North America through Canada. Plus, China's new open-source AI model GLM 5.2 is climbing the rankings and impressing developers, raising the stakes for businesses weighing cheaper open-source tools against the top closed models from U.S. labs.And in The Lookout: Canada, the U.S., and Mexico head into the first tri-lateral CUSMA review, Alberta prepares to pitch a major new west coast oil pipeline, and fresh GDP numbers could help settle whether Canada's economy is actually bouncing back.The Peak Daily is produced in partnership with reframevid.com

Reflection AI will pay $150 million a month beginning July 1, 2026 through 2029 for immediate access to Nvidia's latest GB300 AI chips and supporting hardware across SpaceX's Colossus 2 data center near Memphis, Tennessee. Also, Instagram is coming for streaming services like Netflix and Amazon Prime Video as it sets its ambitions for living room viewing. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Rep. Nick Begich, R-Alaska, reached Congress by an unusual route: founding software companies and holding Bitcoin since 2013. BPI's David Zell sat down with him at PubKey to talk about how a builder's instincts shape the way he legislates, his bill to establish a strategic Bitcoin reserve in the U.S., and the policy questions AI is raising faster than Washington can answer.The conversation covers everything from Begich's 440 coins on Mt. Gox to the American Reserve Modernization Act (ARMA). They dive into the ~93-year cycle of global reserve currencies, the "untethering" of money from scarcity, and Begich's belief that AI's hardest problem is the "disintermediation of purpose" rather than unemployment. They close on UBI, Alaska's Permanent Fund as a model of citizen ownership, and what's next for the budget and healthcare.Guest: Rep. Nick Begich, R-AlaskaHost: David Zell, Bitcoin Policy InstituteRecorded at PubKey DCCHAPTERS:0:00 Intro: A Founder Comes to Congress1:21 From Baylor to Ford to Building a Software Company5:17 Finding Bitcoin in 2013 & Surviving Mt. Gox6:44 The Founder's Mindset vs. the Zero-Sum Worldview13:56 ARMA: The Case for a Strategic Bitcoin Reserve19:25 The "Untethering Event": Scarcity, Inflation & the Debt Spiral25:58 AI's Promise, Peril & the "Disintermediation of Purpose"31:59 Open-Source AI, China & Catastrophic Misuse Risk39:14 Drawing the Regulatory Line & the "Bitcoin of AI"42:25 UBI vs. Alaska's Permanent Fund: "Universal Basic Investment"49:43 What's Next: The Budget, Healthcare & Quantum#Bitcoin #BitcoinPolicy #ARMA #NickBegich #AIPolicy #DigitalAssets #StrategicBitcoinReserve #BPI #Crypto #MonetaryPolicyDISCLAIMER: The views and opinions expressed in this show are those of the participants and do not necessarily reflect the official policy or position of BTC Inc., Bitcoin Magazine, or any affiliated entities. This content is provided for informational and educational purposes only and should not be construed as investment, legal, tax, or accounting advice. Nothing contained in this show constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or financial instruments. Viewers should consult their own advisors before making financial or business decisions.

Anthropic released Fable V — a wrapper around its Mythos model with strict guardrails. Within 24 hours, the White House forced it offline over a jailbreak that exposed Mythos's full cyber capabilities. David walks through David Sack's thread, the export control, and why this is the strongest case yet for running your own open-source AI at home. Plus: Blockworks just acquired Messari, and the SpaceX IPO turned into a mess on crypto exchanges. Enjoy! TIMESTAMPS: (00:00) Intro (01:24) Anthropic (11:57) Blockworks Acquires Messari (14:38) SpaceX IPO FOLLOW THE SHOW › David — https://x.com/dcanellis › The Breakdown — https://x.com/TheBreakdownBW › The Breakdown Newsletter — https://blockworks.com/newsletter/the-breakdown Get top market insights and the latest in crypto news. Subscribe to the Blockworks Daily Newsletter: https://blockworks.co/newsletter/ DISCLAIMER As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice.

Preview for Later Today: Cliff May investigates Qatar's massive influence campaign within American universities and media. He highlights how Al Jazeera bypasses regulations to feed biased information into open-source AI platforms and internet search results.

Discover how a homegrown AI agent is outsmarting big-brand competitors, letting users tailor digital assistants with real memory and skills. The future isn't just smarter models, but everyday tech that learns exactly how you work. • Hermes AI agent's launch, mass adoption, and personalized capabilities • Open source vs. proprietary AI: model access, privacy, and funding hurdles • Apple's next-gen Siri and agentic platform ambitions unpacked • Noose Research model development, Nvidia partnerships, and training challenges • The risk of an "AI underclass" and ethics in model distribution • Anthropic's Fable release: strict guardrails, silent model downgrades, and open source tensions • Local models vs. cloud LLMs: cost, effectiveness, and practical tuning • Community-driven iterating: Hermes' rapid product evolution and user obsession • Vatican's AI encyclical: church perspectives on AI, morality, and the common good • AGI arrival debate: economic thresholds, capabilities, and human uniqueness • The reality of AI hallucinations, agent accuracy, and responsible usage • Legal fallout over AI-generated hallucinations in court filings • AI's growing role in Hollywood contracts and labor protections • Google's Gemini 3 live translation impresses but raises privacy flags • German courts label Google AI overviews as publisher speech, liability looms • AI detection tools like Pangram face scrutiny in real-world writing and education • Google Dream Beans app tests the limits of digital personal recommendations • Picks of the Week: Reddit AMA, Dream Beans, basketball and retro gaming, research critiques Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines Melissa.com/twit zscaler.com/security

Discover how a homegrown AI agent is outsmarting big-brand competitors, letting users tailor digital assistants with real memory and skills. The future isn't just smarter models, but everyday tech that learns exactly how you work. • Hermes AI agent's launch, mass adoption, and personalized capabilities • Open source vs. proprietary AI: model access, privacy, and funding hurdles • Apple's next-gen Siri and agentic platform ambitions unpacked • Nous Research model development, Nvidia partnerships, and training challenges • The risk of an "AI underclass" and ethics in model distribution • Anthropic's Fable release: strict guardrails, silent model downgrades, and open source tensions • Local models vs. cloud LLMs: cost, effectiveness, and practical tuning • Community-driven iterating: Hermes' rapid product evolution and user obsession • Vatican's AI encyclical: church perspectives on AI, morality, and the common good • AGI arrival debate: economic thresholds, capabilities, and human uniqueness • The reality of AI hallucinations, agent accuracy, and responsible usage • Legal fallout over AI-generated hallucinations in court filings • AI's growing role in Hollywood contracts and labor protections • Google's Gemini 3 live translation impresses but raises privacy flags • German courts label Google AI overviews as publisher speech, liability looms • AI detection tools like Pangram face scrutiny in real-world writing and education • Google Dream Beans app tests the limits of digital personal recommendations • Picks of the Week: Reddit AMA, Dream Beans, basketball and retro gaming, research critiques Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines Melissa.com/twit zscaler.com/security

Discover how a homegrown AI agent is outsmarting big-brand competitors, letting users tailor digital assistants with real memory and skills. The future isn't just smarter models, but everyday tech that learns exactly how you work. • Hermes AI agent's launch, mass adoption, and personalized capabilities • Open source vs. proprietary AI: model access, privacy, and funding hurdles • Apple's next-gen Siri and agentic platform ambitions unpacked • Noose Research model development, Nvidia partnerships, and training challenges • The risk of an "AI underclass" and ethics in model distribution • Anthropic's Fable release: strict guardrails, silent model downgrades, and open source tensions • Local models vs. cloud LLMs: cost, effectiveness, and practical tuning • Community-driven iterating: Hermes' rapid product evolution and user obsession • Vatican's AI encyclical: church perspectives on AI, morality, and the common good • AGI arrival debate: economic thresholds, capabilities, and human uniqueness • The reality of AI hallucinations, agent accuracy, and responsible usage • Legal fallout over AI-generated hallucinations in court filings • AI's growing role in Hollywood contracts and labor protections • Google's Gemini 3 live translation impresses but raises privacy flags • German courts label Google AI overviews as publisher speech, liability looms • AI detection tools like Pangram face scrutiny in real-world writing and education • Google Dream Beans app tests the limits of digital personal recommendations • Picks of the Week: Reddit AMA, Dream Beans, basketball and retro gaming, research critiques Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines Melissa.com/twit zscaler.com/security

Discover how a homegrown AI agent is outsmarting big-brand competitors, letting users tailor digital assistants with real memory and skills. The future isn't just smarter models, but everyday tech that learns exactly how you work. • Hermes AI agent's launch, mass adoption, and personalized capabilities • Open source vs. proprietary AI: model access, privacy, and funding hurdles • Apple's next-gen Siri and agentic platform ambitions unpacked • Noose Research model development, Nvidia partnerships, and training challenges • The risk of an "AI underclass" and ethics in model distribution • Anthropic's Fable release: strict guardrails, silent model downgrades, and open source tensions • Local models vs. cloud LLMs: cost, effectiveness, and practical tuning • Community-driven iterating: Hermes' rapid product evolution and user obsession • Vatican's AI encyclical: church perspectives on AI, morality, and the common good • AGI arrival debate: economic thresholds, capabilities, and human uniqueness • The reality of AI hallucinations, agent accuracy, and responsible usage • Legal fallout over AI-generated hallucinations in court filings • AI's growing role in Hollywood contracts and labor protections • Google's Gemini 3 live translation impresses but raises privacy flags • German courts label Google AI overviews as publisher speech, liability looms • AI detection tools like Pangram face scrutiny in real-world writing and education • Google Dream Beans app tests the limits of digital personal recommendations • Picks of the Week: Reddit AMA, Dream Beans, basketball and retro gaming, research critiques Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines Melissa.com/twit zscaler.com/security

Discover how a homegrown AI agent is outsmarting big-brand competitors, letting users tailor digital assistants with real memory and skills. The future isn't just smarter models, but everyday tech that learns exactly how you work. • Hermes AI agent's launch, mass adoption, and personalized capabilities • Open source vs. proprietary AI: model access, privacy, and funding hurdles • Apple's next-gen Siri and agentic platform ambitions unpacked • Nous Research model development, Nvidia partnerships, and training challenges • The risk of an "AI underclass" and ethics in model distribution • Anthropic's Fable release: strict guardrails, silent model downgrades, and open source tensions • Local models vs. cloud LLMs: cost, effectiveness, and practical tuning • Community-driven iterating: Hermes' rapid product evolution and user obsession • Vatican's AI encyclical: church perspectives on AI, morality, and the common good • AGI arrival debate: economic thresholds, capabilities, and human uniqueness • The reality of AI hallucinations, agent accuracy, and responsible usage • Legal fallout over AI-generated hallucinations in court filings • AI's growing role in Hollywood contracts and labor protections • Google's Gemini 3 live translation impresses but raises privacy flags • German courts label Google AI overviews as publisher speech, liability looms • AI detection tools like Pangram face scrutiny in real-world writing and education • Google Dream Beans app tests the limits of digital personal recommendations • Picks of the Week: Reddit AMA, Dream Beans, basketball and retro gaming, research critiques Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines Melissa.com/twit zscaler.com/security

Discover how a homegrown AI agent is outsmarting big-brand competitors, letting users tailor digital assistants with real memory and skills. The future isn't just smarter models, but everyday tech that learns exactly how you work. • Hermes AI agent's launch, mass adoption, and personalized capabilities • Open source vs. proprietary AI: model access, privacy, and funding hurdles • Apple's next-gen Siri and agentic platform ambitions unpacked • Noose Research model development, Nvidia partnerships, and training challenges • The risk of an "AI underclass" and ethics in model distribution • Anthropic's Fable release: strict guardrails, silent model downgrades, and open source tensions • Local models vs. cloud LLMs: cost, effectiveness, and practical tuning • Community-driven iterating: Hermes' rapid product evolution and user obsession • Vatican's AI encyclical: church perspectives on AI, morality, and the common good • AGI arrival debate: economic thresholds, capabilities, and human uniqueness • The reality of AI hallucinations, agent accuracy, and responsible usage • Legal fallout over AI-generated hallucinations in court filings • AI's growing role in Hollywood contracts and labor protections • Google's Gemini 3 live translation impresses but raises privacy flags • German courts label Google AI overviews as publisher speech, liability looms • AI detection tools like Pangram face scrutiny in real-world writing and education • Google Dream Beans app tests the limits of digital personal recommendations • Picks of the Week: Reddit AMA, Dream Beans, basketball and retro gaming, research critiques Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeffrey Quesnelle Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/machines Melissa.com/twit zscaler.com/security

Stay informed on current events, visit www.NaturalNews.com  - AI Bubble and Revenue Models (0:10) - Corporate Misuse of AI (2:25) - Token Maxing and AI Productivity (7:02) - Investment Advice and Open Source AI (10:28) - Scientific Community and Depopulation Agenda (14:45) - AI and Humanity's Future (23:50) - Government and Corporate Control (37:51) - Ethical Use of AI (1:05:51) - AI and Human Intelligence (1:06:08) - Resilience and Red-Pilling (1:11:45) - Discussion on EVs and Ethanol (1:14:34) - Advancements in Battery Technology (1:16:16) - Historical Context of EVs (1:18:56) - Political Discussion on Trump and Israel (1:20:41) - Economic and Political Challenges (2:00:28) - Bitcoin and Financial Freedom (2:00:53) - Future Outlook and Personal Reflections (2:12:42) - Discussion on Banking and Crime (2:14:40) - Generational Perspectives and Closing Remarks (2:16:40) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

Thanks Pressable for supporting the podcast! What hosting should feel like...nothing! https://pressable.com/wpminute Today's episode features a segment from Matt's discussion with Beaver Builder's Robby McCullough. Robby stopped by to tell us about Beaver Builder's AI integration and the strategy behind it. The guys also dig into how this technology fits into WordPress and the greater open-source landscape. You can catch the entire episode over on our WP Minute+ channel. Visit thewpminute.com for all the details: https://thewpminute.com/can-wordpress-keep-up-with-ai/ Watch the full interview: https://www.youtube.com/watch?v=fhMAXR9KkT8  Support our work at https://thewpminute.com/supportGet the newsletter at https://thewpminute.com/subscribe ★ Support this podcast ★

Ideogram shipped Ideogram 4.0, an open source image model that finally puts open weights on par with the closed frontier for professional work, with dense text rendering. Anthropic published a paper showing Claude now writes more than 80 percent of its internal code, and we walked the graph that proves it. And Founders Fund launched a Mafia show filmed at the Tosca Cafe in San Francisco, and the marketing play behind it is the real story.Sources:1. Ideogram 4.0https://x.com/ideogram_ai/status/20622022087003138722. Claude writes 80% of Anthropic's code (BBC)https://x.com/BBCNewsnight/status/20626556561553858933. Founders Fund Mafia showhttps://x.com/foundersfund/status/2062583885607862639

rsync's founder came back, patched real security bugs with AI help, and triggered an open source meltdown. Plus, two more projects reject AI-generated code as the community's newest fault line cracks wide open.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:ConnecTen Internet — Get $35 off your order total with Jupiter35

This week the trio covers the Latest Ubuntu, Fedora, and CachyOS news. Btrfs has a big performance win, USB4 brings fast data transfers, the latest kernel RC has prompted a classic Torvalds rant. And then Jonathan flies in to wrap up the show with Open Source AI definition news. For tips, we have quein for turbo-charges who is, Shelly for smarter package management, htmlq for querying a web page, and DuckDB for slick SQL on the command line. You can find the show notes at https://bit.ly/434Hrkg and enjoy! Host: Jonathan Bennett Co-Hosts: Ken McDonald, Rob Campbell, and Jeff Massie Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

This week the trio covers the Latest Ubuntu, Fedora, and CachyOS news. Btrfs has a big performance win, USB4 brings fast data transfers, the latest kernel RC has prompted a classic Torvalds rant. And then Jonathan flies in to wrap up the show with Open Source AI definition news. For tips, we have quein for turbo-charges who is, Shelly for smarter package management, htmlq for querying a web page, and DuckDB for slick SQL on the command line. You can find the show notes at https://bit.ly/434Hrkg and enjoy! Host: Jonathan Bennett Co-Hosts: Ken McDonald, Rob Campbell, and Jeff Massie Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

This week on REKT Vision, Bijan Maleki welcomes Blocmates founder Grant to dissect the biggest narratives and themes currently driving cryptocurrencies, macro, and AI, including Hyperliquid's outperformance, NEAR Protocol's run, Anthropic's valuation, trouble over at Ethereum, and much more. REKT Vision LIVE with @blocmates Let Monarch do your financial 'spring cleaning' for you! Use code REALVISION at Monarch.com to get your first year half off at just $50.

Clem Delangue joins MTS to discuss the global open-source AI landscape, the current large language model bubble, and the future of consumer robotics. Originally aired on MTS, Theo Jaffee and Sofia Puccini speak with Clément Delangue, CEO at Hugging Face, about the global open-source AI race, why he believes the real bubble is in API-based large language models, and how robotics could become the next major interface for AI. They also discuss AI safety, U.S.-China competition, open-weight models, and why Hugging Face became the infrastructure layer for open AI development.   Resources: Follow Clem on X: @ClementDelangue Follow Theo on X: @theojaffee  Follow Sofia on X: @schisofrenia Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate?Featuring:Jeffrey Quesnelle – Website, LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Nous ResearchHermes AgentSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

In this episode of the Ardan Labs Podcast, Ale Kennedy talks with Eugene Cheah, founder of Featherless, about his journey from physics to building globally accessible AI systems. Eugene shares his vision for making AI more affordable, multilingual, and open to communities around the world through efficient architectures and open-source collaboration.The conversation explores GPU optimization, evolving AI infrastructure, the importance of multilingual support, and the balance between innovation and regulation. Eugene also reflects on speaking at the United Nations, the future of open-source AI, and why accessibility and transparency are essential for the next generation of AI technology.00:00 Introduction and Featherless02:25 Education and Early Interests10:24 University and Military Service15:19 Entering the AI Industry22:33 Startups and AI Development30:42 AI as a Force for Good34:28 AI, Culture, and Automation42:13 Fundraising and Building a Startup50:10 AI Architecture and Optimization58:23 The Evolution of Featherless01:02:37 Building a Global AI Vision01:06:57 Open Source and AI Accessibility01:12:35 AI Risks and Real-World Concerns01:18:20 Lessons Learned and Final ThoughtsConnect with Eugene: LinkedIn: https://www.linkedin.com/in/eugene-cheah-a47791126/Mentioned in this Episode:Featherless AI: https://featherless.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

The Information's Rocket Drew talks with TITV Host Akash Pasricha about Elon Musk's legal defeat. We also talk with Catherine Perloff about Amazon's Trainium chip gaining industry traction and Stephanie Palazzolo about the widening gap between open-source and closed-source AI models. Lastly, we get into tech IPO market dynamics and inference chip trends with Sapphire Ventures Co-founder Jai Das.Articles discussed on this episode: https://www.theinformation.com/articles/amazons-nvidia-alternative-starts-winning-ai-developershttps://www.theinformation.com/newsletters/ai-agenda/gap-widening-anthropic-open-source-modelsSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - Elon Musk Loses OpenAI Lawsuit11:56 - Amazon's Trainium Chips Gain Traction23:59 - Open-Source AI Gains Ground on Cost Advantage31:04 - Where Do Cerebras Shares Go From Here?

Trump and the CEOs go to China NVIDIA CEO joins Trump in China despite 'awkward' politics US clears H200 chip sales to 10 China firms as Nvidia CEO looks for breakthrough Empty Waymos invade Atlanta neighborhood, circle cul-de-sac for hours with no passengers The Class of 2026 is cooked Chinese AI groups pull ahead of US rivals in video generation race Google Weighs Using SpaceX to Launch Orbital Data Centers What smart people are saying about OpenAI's new $10 billion company to help businesses deploy AI Bitcoin trader recovers $400,000 using Claude AI after getting 'stoned' and losing wallet password 11 years ago — bot tried 3.5 trillion passwords before decrypting an old wallet backup Your Mattress Got Worse on Purpose Host: Leo Laporte Guests: Harper Reed and Amy Webb Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit scribe.how/twit shopify.com/twit box.com/AI NetSuite.com/TWIT

Trump and the CEOs go to China NVIDIA CEO joins Trump in China despite 'awkward' politics US clears H200 chip sales to 10 China firms as Nvidia CEO looks for breakthrough Empty Waymos invade Atlanta neighborhood, circle cul-de-sac for hours with no passengers The Class of 2026 is cooked Chinese AI groups pull ahead of US rivals in video generation race Google Weighs Using SpaceX to Launch Orbital Data Centers What smart people are saying about OpenAI's new $10 billion company to help businesses deploy AI Bitcoin trader recovers $400,000 using Claude AI after getting 'stoned' and losing wallet password 11 years ago — bot tried 3.5 trillion passwords before decrypting an old wallet backup Your Mattress Got Worse on Purpose Host: Leo Laporte Guests: Harper Reed and Amy Webb Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit scribe.how/twit shopify.com/twit box.com/AI NetSuite.com/TWIT

Is the era of American tech dominance ending? Get an inside look at how China's pragmatic approach to AI, robotics, and hardware is shifting the global balance, and why the US might need a new playbook to keep up. Trump and the CEOs go to China NVIDIA CEO joins Trump in China despite 'awkward' politics US clears H200 chip sales to 10 China firms as Nvidia CEO looks for breakthrough Empty Waymos invade Atlanta neighborhood, circle cul-de-sac for hours with no passengers The Class of 2026 is cooked Chinese AI groups pull ahead of US rivals in video generation race Google Weighs Using SpaceX to Launch Orbital Data Centers What smart people are saying about OpenAI's new $10 billion company to help businesses deploy AI Bitcoin trader recovers $400,000 using Claude AI after getting 'stoned' and losing wallet password 11 years ago — bot tried 3.5 trillion passwords before decrypting an old wallet backup Your Mattress Got Worse on Purpose Host: Leo Laporte Guests: Harper Reed and Amy Webb Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit scribe.how/twit shopify.com/twit box.com/AI NetSuite.com/TWIT

Is the era of American tech dominance ending? Get an inside look at how China's pragmatic approach to AI, robotics, and hardware is shifting the global balance, and why the US might need a new playbook to keep up. Trump and the CEOs go to China NVIDIA CEO joins Trump in China despite 'awkward' politics US clears H200 chip sales to 10 China firms as Nvidia CEO looks for breakthrough Empty Waymos invade Atlanta neighborhood, circle cul-de-sac for hours with no passengers The Class of 2026 is cooked Chinese AI groups pull ahead of US rivals in video generation race Google Weighs Using SpaceX to Launch Orbital Data Centers What smart people are saying about OpenAI's new $10 billion company to help businesses deploy AI Bitcoin trader recovers $400,000 using Claude AI after getting 'stoned' and losing wallet password 11 years ago — bot tried 3.5 trillion passwords before decrypting an old wallet backup Your Mattress Got Worse on Purpose Host: Leo Laporte Guests: Harper Reed and Amy Webb Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit scribe.how/twit shopify.com/twit box.com/AI NetSuite.com/TWIT

Is the era of American tech dominance ending? Get an inside look at how China's pragmatic approach to AI, robotics, and hardware is shifting the global balance, and why the US might need a new playbook to keep up. Trump and the CEOs go to China NVIDIA CEO joins Trump in China despite 'awkward' politics US clears H200 chip sales to 10 China firms as Nvidia CEO looks for breakthrough Empty Waymos invade Atlanta neighborhood, circle cul-de-sac for hours with no passengers The Class of 2026 is cooked Chinese AI groups pull ahead of US rivals in video generation race Google Weighs Using SpaceX to Launch Orbital Data Centers What smart people are saying about OpenAI's new $10 billion company to help businesses deploy AI Bitcoin trader recovers $400,000 using Claude AI after getting 'stoned' and losing wallet password 11 years ago — bot tried 3.5 trillion passwords before decrypting an old wallet backup Your Mattress Got Worse on Purpose Host: Leo Laporte Guests: Harper Reed and Amy Webb Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit scribe.how/twit shopify.com/twit box.com/AI NetSuite.com/TWIT

Until a few months ago, open source AI was kinda a hobby project. Now, it's tearing corporate boardrooms apart. Why? Over the past 6ish months, the gap between frontier closed AI and open sourced AI has shrunk to pretty much nothing. And with the surge of always on agents driving open models, their development and release schedule is on pace with the frontier labs. So if your team isn't paying attention to -- and running test cases through -- open AI models, there's a good chance you'll either be overpaying or playing catch up soon. We walk you through the 101 and what you need to know when it comes to open source AI in this Start Here Series special. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Open Source AI vs Closed Models ShiftChinese Model Distillation & Legal ImpactsEnterprise AI Cost Triage StrategiesGoogle Gemma 4 Local Model CapabilitiesFrontier Model Performance Gap Closing24/7 Agentic AI Systems OverviewAPI Pricing War: DeepSeek vs US VendorsLegal Protection Tradeoffs for Open Source AIAI Workflow Triage: Task-Specific ModelsFuture Trends: Local and Specialized LLMsTimestamps:00:00 Introducing the Firefly AI assistant03:33 Open source AI cost benefits09:25 AI model performance differences10:19 Open source model improvements15:28 Advancements in local AI capabilities17:04 Impact of Google's Gemma four22:15 Introducing Adobe's Firefly AI Assistant24:19 Adobe Firefly AI assistant beta launch29:26 Choosing the right AI tools32:00 Shifting workloads to open source33:31 Using open-source and closed models36:47 The future of open modelsKeywords: open source AI, open source models, local AI models, local models, closed source AI, closed models, proprietary AI, proprietary models, AI agents, agentic AI, AI workflow triage, cheap API, AI API costs, model distillation, Chinese open source models, China AI models, US AI models,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

In this episode of Grownlearn, Zorina Dimitrova speaks with Nikola Totuhov, Founder & COO of Invisio, about how Agentic AI is transforming business operations, automation, and scalable growth. This is not a theoretical conversation. It's a practical look at how AI is already being implemented inside companies to reduce manual work, unify fragmented data, and significantly improve operational efficiency. One key insight stands out: AI is not plug-and-play. Up to 70% of implementation is data preparation. Without structured data, even the most advanced systems fail to deliver real value. Nikola shares real-world examples, including how AI-driven workflows: • Reduced operational teams from 8 people to 2 • Increased social media performance by 85% • Automated large parts of customer support and internal processes The discussion also explores where AI is heading, from open-source, locally hosted models to the evolving role of human judgment in business-critical functions like sales, marketing, and strategy. This episode is especially relevant for founders, operators, product leaders, and investors looking to understand how AI can drive capital-efficient, scalable growth.

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