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Inference by Turing Post

Turing Post
Inference by Turing Post
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  • Inference by Turing Post

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

    29.05.2026 | 21 Min.
    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
  • Inference by Turing Post

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

    29.05.2026 | 31 Min.
    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.
  • Inference by Turing Post

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

    05.05.2026 | 43 Min.
    "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
  • Inference by Turing Post

    AI Could Change Education Forever – Neeru Khosla Explains Why

    22.04.2026 | 34 Min.
    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
  • Inference by Turing Post

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

    07.04.2026 | 18 Min.
    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
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Über Inference by Turing Post
Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads.Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes.It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions.If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.
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