Turing Post

Turing Post

Hi, I’m Ksenia, founder of Turing Post. On this channel, I talk to the people shaping AI and pay attention to the ideas, shifts, and details others might miss. Inference is my interview show with innovators, builders, founders, and thinkers moving AI forward. Attention Span is where I slow down on what deserves a closer look: the signals, questions, and stories hiding between the headlines. Subscribe for the unusual takes. And always stay curious!

  1. 15 h fa

    How Chinese AI Turned Silicon Valley Against Anthropic

    Jensen Huang joined X and immediately rallied Silicon Valley around open-weight AI. First came a letter signed by 77 companies and industry leaders. Then came a security alliance with 37 members. Anthropic was absent from both. This was not a random disagreement. Kimi K3 had narrowed the gap with American frontier models, Anthropic had accused Moonshot AI of extracting 3.4 million Claude exchanges, Hugging Face had turned to an open-weight Chinese model during a security investigation, and Congress had proposed an AI kill switch. In this episode, we examine why Jensen and Anthropic represent two competing approaches to AI safety, what their companies gain from those positions, and who ultimately gets to control the model layer. Attention Span explains the technical and business decisions shaping AI. 👉 Subscribe for high-signal AI analysis 👉 Instagram https://www.instagram.com/turingpost_tv 👉 TikTok https://www.tiktok.com/@turingpost_tv 👉 More analysis: https://www.turingpost.com/ 👉 Interviews: @realturingpost *Links:* Jensen Huang on X https://x.com/JensenHuang NVIDIA: Open Secure AI Alliance https://blogs.nvidia.com/blog/open-secure-ai-alliance/?ncid=so-twit-957725 Moonshot AI: Kimi K3 announcement https://x.com/Kimi_Moonshot/status/2081760186235289764 Kimi K3 model page https://huggingface.co/moonshotai/Kimi-K3 Anthropic: Detecting and preventing distillation attacks https://www.anthropic.com/news/detecting-and-preventing-distillation-attacks Turing Post: What Is Knowledge Distillation? https://www.turingpost.com/p/kd Nathan Lambert on distillation https://x.com/natolambert/status/2079616308203942332 Little Tech Association https://littletech.org/ Jensen Huang’s open-weights letter https://x.com/JensenHuang/status/2080643682408321103 Jensen Huang on the Open Secure AI Alliance https://x.com/JensenHuang/status/2081698060330250294 AI Kill Switch Act press release https://lieu.house.gov/media-center/press-releases/reps-lieu-and-moran-introduce-bill-require-kill-switch-ai-systems-can Jeremy Howard on NVIDIA, Anthropic, and open weights https://x.com/jeremyphoward/status/2081280852454166680 Turing Post: Anthropic Fable 5 and Mythos 5 episode https://www.youtube.com/watch?v=o9d12zG6kNM&t=1s Axios: Jensen Huang on China and open-source AI https://www.axios.com/2026/07/22/nvidia-jensen-huang-china-open-source-ai The Information: Silicon Valley Unites Against Anthropic Over Chinese AI Restrictions https://www.theinformation.com/articles/silicon-valley-unites-anthropic-chinese-ai-restrictions #AI #OpenWeights #Anthropic #NVIDIA #KimiK3 #JensenHuang

  2. 1 g fa

    OpenAI's AI Escaped. Then It Hacked Hugging Face

    OpenAI’s models were supposed to solve a cybersecurity benchmark. Instead, they found a zero-day, reached the internet and broke into Hugging Face to obtain the answers. Then came the contradiction: closed models blocked Hugging Face from analyzing the attack evidence, so its security team turned to the open-weight GLM-5.2! We explain what happened, who was in control and why this incident may push OpenAI with help from Hugging Face toward AI that is both more open and safer Attention Span explains the technical and business choices shaping AI. 👉 Subscribe for high-signal AI mechanics  👉 Into videos? Check our IG / turingpost_tv and TikTok / turingpost_tv 👉 More analysis: TuringPost.com  👉 Interviews: @realturingpost *Links:* Hugging Face: https://huggingface.co/blog/security-incident-july-2026 OpenAI: https://openai.com/index/hugging-face-model-evaluation-security-incident/ ExploitGym: https://arxiv.org/abs/2605.11086 Adrien Carreira: https://x.com/XciD_/status/2079191130248212591 Simon Willison: https://simonwillison.net/2026/Jul/22/openai-cyberattack/ Thomas Ptacek: https://x.com/tqbf/status/2080290141063569791 LeRobot: https://x.com/LeRobotHF/status/2080296144832274881  #AI #OpenAI #HuggingFace #OpenSourceAI #Cybersecurity

  3. 23 lug

    Kimi K3 Just Sold Out. Then It Got Political

    The world's largest open model sold out three days after launch. WHAT?! Moonshot paused new Kimi K3 subscriptions after demand pushed its GPUs to the limit. The same weekend: Xi Jinping personally endorsed open-source AI at WAIC, Alibaba teased a 2.4T-parameter Qwen 3.8 with an open-weight promise, and Axios reported that Washington may ban Chinese models entirely. In this episode, we explain why serving an agentic model is so expensive, how a GPU shortage became an IPO pitch, what the July 27 weights release changes, and what a ban of an open model can and cannot actually reach. Attention Span is here to explain the technical and business choices shaping AI. 👉 Subscribe for high-signal AI mechanics 👉  Into videos? Check our IG https://www.instagram.com/turingpost_tv and TikTok https://www.tiktok.com/@turingpost_tv  👉 More analysis: TuringPost.com  👉 Interviews: @realturingpost *Links:*  Kimi K3: The open-weights escalation https://www.interconnects.ai/p/kimi-k3-the-open-weights-escalation Kimi.ai capacity announcement https://x.com/Kimi_Moonshot https://x.com/Kimi_Moonshot/status/2078855608565207130 Xi Jinping's Big AI Speech, Annotated https://mattsheehan.substack.com/p/xi-jinpings-big-ai-speech-annotated Kimi K3: The open-weights escalation https://www.interconnects.ai/p/kimi-k3-the-open-weights-escalation Reuters, Moonshot pauses subscriptions amid IPO push SCMP, Kimi K3 developer suspends new subscriptions The Decoder, membership split into two tiers Qwen 3.8 announcement https://x.com/Alibaba_Qwen/status/2078759124914098291 MarkTechPost, Qwen 3.8 preview without benchmarks or license Reuters, Xi's WAIC keynote Quartz, WAICO launch and membership Axios (Maria Curi), the administration's signals on Chinese models Nathan Lambert, Interconnects: Notes from inside China's AI labs https://www.interconnects.ai Previous episode: Kimi K3 and Inkling #AI #ArtificialIntelligence #OpenSourceAI #KimiK3 #Qwen #LLM #MachineLearning #TechNews #China #AIPolicy

  4. 23 lug

    Open Source AI Is Getting Too Big to Run

    Two major open-model releases arrived this week from very different directions. Both geographically and conceptually. Kimi K3 is a 2.8-trillion-parameter Chinese model that jumped from #18 to #1 in the Frontend Code Arena, ahead of Claude Fable 5. WHAT?!  Inkling is the first major model from Mira Murati’s Thinking Machines Lab, and the company states directly that it is not the strongest model available. WHAT?! Both strategies make sense once we examine what the companies are building.  In this episode, we explain K3’s 896-expert architecture, why Moonshot recommends at least 64 accelerators, how LoRA customization works, what community quantization changed for Inkling, and which organizations gain meaningful control from open weights. Attention Span is here to explain the technical and business choices shaping AI. 👉 Subscribe for high-signal AI mechanics  👉 Into videos? Check our IG https://www.instagram.com/turingpost_tv and TikTok https://www.tiktok.com/@turingpost_tv  👉 More analysis: TuringPost.com  👉 Interviews: @realturingpost Links: About LoRA https://www.turingpost.com/p/lora  Moonshot AI: The Chinese Unicorn Revolutionizing Long-Context AI https://www.turingpost.com/p/moonshotai  Thinking Machines Lab, “Inkling: Our open-weights model” https://thinkingmachines.ai/news/introducing-inkling/  Thinking Machines Lab, Inkling Model Card https://thinkingmachines.ai/model-card/inkling/  Thinking Machines Lab, Tinker https://thinkingmachines.ai/tinker/  Moonshot AI, “Kimi K3: Open Frontier Intelligence” https://www.kimi.com/blog/kimi-k3  Arena, Kimi K3 Frontend Code Arena result https://x.com/arena/status/2077824029126504525   Semianalysis about Kimi K3 https://x.com/SemiAnalysis_/status/2077966560447074689  Arena, Code Arena methodology https://arena.ai/blog/code-arena/  Artificial Analysis, Kimi K3 https://artificialanalysis.ai/models/kimi-k3  Artificial Analysis, Inkling https://artificialanalysis.ai/articles/thinking-machines-has-released-inkling-the-new-leading-u-s-open-weights-model  Unsloth, community Inkling quantizations https://unsloth.ai/docs/models/inkling #AI #ArtificialIntelligence #OpenSourceAI #LLM #MachineLearning #GenerativeAI #KimiK3 #MiraMurati #AIModels #TechNews

  5. 21 giu

    What Responsible AI Actually Means in 2026 – Microsoft's Sarah Bird

    We're no longer in the world of chatbots – we're in the world where AI systems take real-world action. So what does responsible AI even mean when agents write the code, review the code, and act across organizational boundaries? Sarah Bird, Chief Product Officer of Responsible AI at Microsoft, has been in this field since it was a niche. Now it's everywhere. In this episode of Inference, she explains why the entire software development lifecycle is changing – and why human oversight has to evolve with it. *In this episode of Inference, we get into:* - Why "responsible AI" is the wrong framing – and why "trustworthy AI" matters more  - What changes when agents write the code AND review the code  - Why open-sourcing responsible AI tools is non-negotiable – "we don't want to be competing on this"  - The dual-use problem: AI that finds vulnerabilities helps defenders AND attackers  - Why fixing it "in the model" sounds easy but doesn't work – and who's actually responsible at each layer  - The shift from chat to agentic to physical AI – and why consequences scale dramatically  - What kids should learn about AI: the "stoplight" framework from New South Wales schools  - Why Sarah is surprisingly optimistic – and why low p(doom) is a rational position  - The three problems her team is solving right now: emerging risks, agent governance, and the new software lifecycle We also talk about regulation, why responsible AI requires linguists alongside engineers, the rise of "psychosocial risk," and why humans + AI is more exciting than AGI alone. This is a conversation about what it actually takes to make AI systems we can trust – and why humans are not optional. *Watch it!* *Guest:*  Sarah Bird, Chief Product Officer of Responsible AI at Microsoft https://www.linkedin.com/in/slbird/  https://x.com/slbird    https://www.microsoft.com/en-us/ai/responsible-ai  *Did you like the episode?* 📌 Subscribe for more conversations with the builders shaping real-world AI  💬 Leave a comment if this resonated  👍 Like it if you liked it  🫶 Thank you for watching and sharing! 📰 Want the transcript and edited version? Subscribe to Turing Post: https://www.turingpost.com/subscribe *Chapters:* 0:00 Is Responsible AI Possible? 1:21 The Pace of AI Innovation 3:10 Tools: Assert & Agent Control 5:21 Defining Trustworthy Contexts 6:38 Diverse Teams & Cross-Domain Work 8:16 The Need for Regulation 11:37 Defining AGI & Human-in-the-Loop 13:55 Limits of Agent Delegation 16:12 Generative vs. Physical AI 17:25 Addressing Accountability 20:36 User Responsibility & Best Practices 22:01 AI Literacy for Children 23:28 Democratizing Innovation 29:21 Three Strategic Focus Areas 31:37 Book Recommendation: The Culture Map *Turing Post* is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live. Sign up: https://www.turingpost.com Follow us - https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase #ResponsibleAI #Microsoft #AIAgents #AGI #TrustworthyAI #AIGovernance #AIRisk #SarahBird

  6. 7 giu

    GitHub in 2026: How AI Agents Are Changing How Developers Work

    GitHub's CPO Mario Rodriguez on how AI agents transformed the platform in December 2025 — record commits, new Copilot direction, and what "agent-native" coding actually means for developers. What happened to GitHub then? Record acceleration across commits, PRs, Actions, and security scans – and a fundamental rethink of what GitHub even is. *In this episode of Inference, we get into:* The December 2025 capability jump GitHub's massive scale challenge "Low floor, high ceiling" – why lowering the barrier to creation may be the biggest GDP unlock in history The Mozart problem: how many geniuses never had access to a piano – and why AI changes that From UI → UX → AX: The new Compiler app and "canvases" – bidirectional surfaces where humans and agents co-create in real time Why Mario is anti-parallelization hype: "You could parallelize yourself to no value at all" Macro vs. micro delegation Why CoPilot will always be co-pilot, not pilot – and where the human stays in the loop We also talk about the redefinition of "developer," why creation (not efficiency) drives human progress, and how GitHub plans to serve both the first-time builder and the Picasso-level craftsman on the same continuum. This is a conversation about the future of software, the role of the human, and what it means when everyone becomes a builder. Watch it! *Guest:* Mario Rodriguez, Chief Product Officer at GitHub: https://www.linkedin.com/in/mariorodriguez3/ https://x.com/mariorod1 https://github.com/mariorod *Chapters:* 0:00 Intro — GitHub's Agentic Future 0:35 What Changed When AI Agents Started Working 4:41 The Engineering Challenges of Explosive AI-Driven Growth 6:59 GitHub's New Mission: Lower the Floor, Raise the Ceiling 9:58 Why AI Will Create More Builders, Not Fewer Developers 11:44 From UI to AX: Designing an Agent-Native GitHub 14:54 Is Everyone a Developer Now? 17:54 Advice for Young Developers in the AI Era 19:28 The Art of Micro-Delegation with AI Agents 21:14 Copilot Pricing, Token Costs, and Smarter AI Usage 24:40 AGI, Human Progress, and the Future of Creation 27:22 Why Humans Will Stay in the Loop Forever 29:24 The Books and Ideas That Shaped Mario Rodriguez *Follow on*: https://www.turingpost.com/ 📖 Related reading on turingpost.com: → AI Agents Vocabulary: https://www.turingpost.com/p/agentsvocabulary → The AI Software Stack Explained: https://www.turingpost.com/p/aisoftwarestack → Inside Cognition — Devin and the Coding Agent Era: https://www.turingpost.com/p/cognition *Did you like the episode? You know the drill:* 📌 Subscribe here and here (https://www.turingpost.com/subscribe) for more conversations with the builders shaping real-world AI. 💬 Leave a comment 👍 Like it 🫶 Thank you for watching and sharing! #GitHub #AI #AIAgents #Developers #Copilot #VibeCoding #AgenticAI #futureofcoding #githubcopilot #AIagents2026 #GitHubCPO #agenticcoding #futureofdevelopers #GitHubAI #codingagents #GitHub2026 #turingpost

  7. 29 mag

    Inside Google AI Studio – Ammaar Reshi on Vibe Coding, Agent Swarms, and the Future of Building

    What does it really take to put AI-powered building into the hands of millions and even billions – and what happens when everyone becomes a builder? How to do impossible things? Ammaar Reshi leads Product and Design at Google AI Studio (DeepMind). His path is unusual: from writing iPhone app reviews as a teenager, to Palantir, Brex, and ElevenLabs, to now designing how millions of people build apps with AI in Google. His philosophy is simple – nothing is impossible, it's just time and iteration, and you learn by making and showing your work openly. Ammaar has a great energy and insights into how to stay relevant with AI. *In this episode of Inference, we get into:* How "tap, tap, tap" prompting helps anyone write rich specs without knowing what an NPM package is Why the chat interface is evolving into something more like Slack – with daily standups with your agents The case for abstraction: hiding Firebase, OAuth, and the messy parts from people who just want to build Why speed (not intelligence) is now the real bottleneck for AI building The gap between a stunning demo and a product that serves billions How Ammaar is retraining Google itself – PMs across the company learning to vibe code and come up with amazing ideas Why Ammaar open-sources almost every demo he builds – and how that inspires the next wave of builders Ammaar's definition of AGI and lessons from Steve Jobs and Aurelius A conversation about building, designing, and the new relationship between humans and intelligent tools. Watch it! Did you like the episode? You know the drill: 📌 Subscribe for more conversations with the builders shaping real-world AI 💬 Leave a comment if this resonated 👍 Like it if you liked it 🫶 Thank you for watching and sharing! Guest: Ammaar Reshi, Lead Product + Design at Google AI Studio (DeepMind) https://www.linkedin.com/in/ammaarsreshi https://x.com/ammaar https://ammaar.me 📰 Want the transcript and edited version? Subscribe to Turing Post: https://www.turingpost.com/subscribe Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live. Sign up: https://www.turingpost.com Follow us - https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase #AI #GoogleAIStudio #DeepMind #VibeCoding #AIAgents #AGI #Gemini

  8. 29 mag

    Eric Ries on Building Incorruptible Companies, AI Disruption, and the Future of Capitalism

    Eric Ries, author of The Lean Startup, on why success corrupts companies faster than failure — and how AI will accelerate that collapse if builders don't protect their mission from day one. Eric Ries, entrepreneur and author of The Lean Startup and Incorruptible, argues that the more valuable a company becomes, the more pressure it faces to make money without creating real value. In other words: corruption in business doesn’t begin at the margins. It begins when builders stop protecting what made their company worth building in the first place. *In this episode of Inference, we get into:* - Why every successful company eventually becomes a target - What “corruption” really means in business - Why it’s always too early to protect your mission – until it’s too late - How trust and love become real competitive advantages, not just soft language - What Eric means by “financial gravity” and how companies get pulled into mediocrity - How mission-driven companies can “bend the light” and shape the economy around them - Why younger generations no longer trust institutions – and what builders must replace - How AI will accelerate institutional collapse if we use it only for cost-cutting - Whether AI could become a “mission guardian” inside companies - What it would mean to redefine capitalism around human flourishing We also talk about private equity, broken incentives, collapsing institutions, the civic consequences of replacing old systems with new technologies, and why the next generation of founders may have to rebuild far more than startups – including the trust infrastructure of society itself. This is a conversation about business, power, values, and what it takes to build something that can survive success without losing its soul. It’s truly a must watch. *Guest:* Eric Ries, entrepreneur, author of The Lean Startup and Incorruptible 🔗 LinkedIn: https://www.linkedin.com/in/eries 🔗 X / Twitter: https://x.com/ericries 🔗 Incorruptible (new book): https://incorruptible.co 🔗 Lean Startup: https://leanstartup.co #EricRies #Incorruptible #LeanStartup #AI #AGI #Startups #Entrepreneurship #Capitalism #Trust #Innovation *Turing Post* is a newsletter about AI’s past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live. 📖 Why AI transformation is harder than it looks: https://www.turingpost.com/p/orgage1 Follow us Ksenia and Turing Post: https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase *Did you like the episode? You know the drill:* 📌 Subscribe here and here (https://www.turingpost.com/subscribe) for more conversations with the builders shaping real-world AI. 💬 Leave a comment 👍 Like it and – I don’t know how it works – hype it? 🫶 Thank you for watching, sharing and leaving your comments! Love talking to you.

Elenco completo (37)

Descrizione

Hi, I’m Ksenia, founder of Turing Post. On this channel, I talk to the people shaping AI and pay attention to the ideas, shifts, and details others might miss. Inference is my interview show with innovators, builders, founders, and thinkers moving AI forward. Attention Span is where I slow down on what deserves a closer look: the signals, questions, and stories hiding between the headlines. Subscribe for the unusual takes. And always stay curious!

Informazioni

  • Creatore
    Turing Post
  • Anni di attività
    2025 - 2026
  • Puntate
    37
  • Classificazione
    Contenuti adatti a tutti
  • Copyright
    2026 © Turing Post. Все права защищены.
  • Sito web del podcast
    Turing Post

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