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. 21 Jun

    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

  2. 7 Jun

    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

  3. 29 May

    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

  4. 29 May

    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.

  5. 5 May

    Will Everyone Become an AI Builder? Clem Delangue on Hugging Face, Agents, Local AI & Robotics

    "The numbers of people who are going to be able to become AI builders is going to explode. It's gonna go from maybe a few hundred thousands or low millions… to maybe tens of millions, fifties of millions, maybe a hundred million at some point." Clément Delangue, co-founder and CEO of Hugging Face, believes we are entering a new phase of AI – one where building models, fine-tuning systems, running local AI, and even experimenting with robotics may no longer be limited to a small technical elite. His passion for open source is very contagious! I enjoyed chatting with him about: Why the next wave of AI builders won't be traditional engineers – and how that could push the field beyond slop toward biology, medicine, and climate What open source actually solves in cybersecurity – and why "safety" is often a cover story for business strategy Why lobbying against open source in the US would be a strategic mistake that could cost the country its AI leadership Why comparing open weights to closed APIs is irrelevant and why benchmarks miss what really matters What Hugging Face is learning as agents become a new kind of user How LeRobot and Reachy Mini are turning AI into something people lile Why training, fine-tuning, and post-training on your own data are becoming the real differentiators as building apps gets trivial What three months of paternity leave taught Clem We also talk about fear-based AI marketing, how public perception shifts the moment people build with AI, what's missing in robotics datasets, and why Clem keeps coming back to Camus' Sisyphus as a metaphor for being a founder right now A conversation about agency, openness, and what it means to democratize AI before it gets locked down. Watch it. *Chapters:* 00:00 AI Builders Are About to Explode 00:35 Why Coding Agents Still Struggle with AI 02:23 100 Million AI Builders 03:30 Non-Technical People Entering AI 05:15 How Building AI Can Change Public Perception 06:22 Who Can Make AI More Open? 08:02 Fear-Based Marketing in AI 09:33 Open Source, Cybersecurity, and Risk 12:31 Why Companies Don’t Open Source 14:30 Lobbying Against Open Source 17:24 What Changed During Paternity Leave 19:11 Making Hugging Face Agent-Native 21:00 Hugging Face Robotics and LeRobot 23:01 Local AI, Open Models, and the Future *Did you like the episode? Do the following:* 📌 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! *Guest:* Clément Delangue, co-founder & CEO of Hugging Face https://x.com/ClementDelangue https://www.linkedin.com/in/clementdelangue https://huggingface.co/clem https://huggingface.co/ *Projects discussed:* ML Intern LeRobot SO-101 / LeRobot docs 📰 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. Follow us - Ksenia and Turing Post: https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase #HuggingFace #ClemDelangue #OpenSourceAI #LocalAI #AIAgents #RoboticsAI #LeRobot #MLIntern #AIBuilders #FutureOfAI

  6. 22 Apr

    AI Could Change Education Forever – Neeru Khosla Explains Why

    Can AI actually help children learn better – or are schools still too slow, too scared, and too locked into the old system? Neeru Khosla, co-founder of CK-12 Foundation, believes this moment could become a turning point for education. After nearly two decades building free learning tools for students and teachers, she argues that AI is our chance to finally understand how students think, where they get stuck, and how to help each child learn in a way that works for them. *In this episode of Inference, we get into:* - Why prompting is not cheating, but a real learning skill - Why textbooks alone were never enough for deep understanding - What C means in CK-12 (it’s important!) - What Neeru learned from launching Flexi, CK-12’s AI tutor, now used by millions of students - Why standardized testing misses the most important part of learning - Why teachers need support, visibility, and confidence – not fear - Why AI literacy may become as fundamental as reading, writing, and math - How curiosity, mentorship, and community shape better learning outcomes - Why “attention is all you need” is no longer enough – and what we need now We also talk about public school inertia, philanthropy, core values when raising kids, and why Neeru believes AI should be used as augmented intelligence – not something to fear, but something to help humans grow. This is a conversation about education, equity, curiosity, and what it would really take to build a learning system that works for every child. Watch it. I’m really passionate about this topic and think that everyone should think and talk more about it. *Did you like the episode? You know the drill:* 📌 Subscribe for more conversations with the people rethinking how AI will shape society 💬 Leave a comment if this resonated with you 👍 Like it if you liked it 🫶 Thank you for watching and sharing *Guest:* Neeru Khosla, co-founder and executive director of CK-12 Foundation https://info.ck12.org/neeru-khosla https://www.ck12.org/flexi/ *📰 Want the transcript and edited version?* Subscribe to Turing Post: https://www.turingpost.com/subscribe *Chapters* 0:00 Why Education Is the Greatest Gift to Society 0:27 Meet Neeru Khosla & the Mission of CK-12 1:32 How Technology Changed Learning Over the Years 3:20 Why AI Became a Turning Point in Education 5:52 Flexi: CK-12’s AI Tutor Used by Millions 8:26 Does AI Require Rethinking the Education System? 11:12 What Teachers Need From AI Right Now 12:56 Essential Skills for Kids and Teachers in the AI Era 18:13 From Molecular Biology to Building CK-12 23:27 Why Education Is a Human Right — and What Comes Next 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. *Follow us* Ksenia and Turing Post: https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase #AIinEducation #EducationAI #NeeruKhosla #CK12 #Flexi #AILiteracy #FutureOfEducation #EdTech #PersonalizedLearning #TuringPost

  7. 7 Apr

    Transformers Are Not the End Game | World Models, Physical AI, and AI’s Next Frontier

    At NVIDIA GTC, we sat down with Sanja Fidler, VP of AI Research at NVIDIA and one of the leading voices in spatial intelligence and physical AI. We dive into world models, robotics, autonomous driving, and the hard problems AI still hasn’t solved. If you want to understand where AI goes next and what occupies the minds of the best researchers, you need to watch this video. *In this episode:* Why transformers and world models are not competing ideas Why physical AI is still a major frontier The evolution of simulation Why 3D matters for robotics and real-world intelligence What’s still missing in multimodal AI Whether autonomous driving could have a “ChatGPT moment” before robotics does If you enjoy conversations at the edge of AI research, *subscribe to Turing Post* for more interviews with the people building the future https://www.turingpost.com/ *Chapters:* 0:00 Physical AI vs Transformers — The Big Question 0:19 Introduction: NVIDIA & Spatial Intelligence Lab 0:38 Transformers vs World Models — Not a Competition 1:45 World Models as Simulators of Reality 3:20 Are New Architectures Replacing Transformers? 4:17 “Alpa Dreams” — Real-Time Interactive AI Worlds 6:22 The Evolution of Simulation in Self-Driving 7:44 From 3D Reconstruction to True World Modeling 10:26 Multimodal AI: Audio, Radar, and Physical Interaction 13:29 AGI, Robotics & the Future of Physical AI *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! *Guest:* Sanja Fidler – NVIDIA Research https://research.nvidia.com/person/sanja-fidler University of Toronto https://www.cs.toronto.edu/~fidler/ Spatial Intelligence Lab https://research.nvidia.com/labs/sil/ Google Scholar https://scholar.google.com/citations?user=CUlqK5EAAAAJ&hl=en X https://x.com/FidlerSanja LinkedIn https://ca.linkedin.com/in/sanja-fidler-2846a1a #AI #NVIDIA #SanjaFidler #WorldModels #PhysicalAI #SpatialIntelligence #Robotics #AutonomousDriving #Transformers #GTC

  8. 31 Mar

    Inside NVIDIA’s Plan to Bring Self-Driving to Every Car | Ali Kani explains

    What if the future of self-driving isn’t one perfect robotaxi – but a stack that can turn almost any car into a self-driving car? In this episode of Inference, we ride through San Francisco – as one of the first to do this test drive – and talk about what’s changing in autonomous driving: cheaper hardware, better models, synthetic data, and a whole new approach to building the software behind the wheel. Ali Kani has been at NVIDIA Automotive for almost 8 years – he’s been through all the ups and downs, and he’s eager to share. *We talk about:* Why Level 2 is already possible with a surprisingly cheap sensor setup What is still missing for Level 4 Why next year could matter for Level 4 How NVIDIA combines an end-to-end driving model with a classical safety stack ​​Why open source matters for the future of autonomous driving Why synthetic data and simulation may matter as much as real-world driving data How different cities, laws, and driving cultures change the way autonomous systems behave Why the goal is bigger than one self-driving car – it’s making many cars autonomous by open sourcing the whole stack (it’s HUGE) We also experience live what still makes urban driving hard: construction, cyclists, congestion, weird negotiations at stop signs, and all the messy little moments humans barely notice but cars have to handle perfectly. What I liked about this conversation is that it makes the shift feel very real. *We’re moving from self-driving built inside closed labs to self-driving becoming a shared capability that can spread across the whole car industry.* This is a conversation about a future that starts tomorrow. It’s open and very exciting. Chapters: 0:00 The Future of Self-Driving Starts Now 0:19 Open Autonomous Driving Beyond Tesla and Waymo 1:07 Inside NVIDIA’s Low-Cost Level 2 Self-Driving Stack 1:48 From Level 2 to Level 4: Hyperion, Thor, and Redundancy 2:43 How NVIDIA Combines End-to-End AI with Safety Guardrails 3:56 What Changed in AlphaMaio Since GTC 5:12 The Key Technologies Needed to Solve Self-Driving 7:22 Real Data vs Synthetic Data in Autonomous Driving 9:21 Driving Through Real San Francisco Traffic 18:55 AlphaDream and the Next Generation of Simulation *Follow on*: https://www.turingpost.com/ https://www.turingpost.com/p/av *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! *Guest:* Ali Kani, Vice President and General Manager of Automotive, NVIDIA https://www.linkedin.com/in/ali-kani-b22198 https://blogs.nvidia.com/blog/author/alikani/ Read more: https://www.turingpost.com/p/selfdriving https://thefocus.ai/posts/the-car-wash-test/

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About

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!

Information

  • Creator
    Turing Post
  • Years Active
    2025 - 2026
  • Episodes
    33
  • Rating
    Clean
  • Copyright
    2026 © Turing Post. Все права защищены.
  • Show Website
    Turing Post

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