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About This Podcast
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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Recent Episodes
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…
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…
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…
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…
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…
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…
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…
OpenAI’s Michael Bolin: What Engineers Still Matter For in the Age of Coding Agents
In this second part of my conversation with Michael Bolin, lead for open-source Codex at OpenAI, we move from harness engineering to the human side of the story. What does it mean to be a programmer…
OpenAI’s Michael Bolin on Codex, Harness Engineering, and the Real Future of Coding Agents
Regarding the question of what matters most – the model or the harness – Michael Bolin is somewhere in the middle. Stronger models clearly pushed Codex to new heights. But without the right harness…
What Reflection AI offers to beat closed labs
In this episode, Ioannis Antonoglou, co-founder and CTO @ReflectionAI (ex-DeepMind, AlphaGo/AlphaZero/MuZero) explains what they are building: a frontier open-weight “general agent model” trained…
Why Reflection AI Bets Their Business on Open Weights | Ioannis Antonoglou, co-founder and CTO
Ioannis Antonoglou helped build AlphaGo, AlphaZero, and MuZero at DeepMind. Now he’s CTO and co-founder of Reflection AI, betting that frontier models should be open weights, not a black box behind…
Why the US need Open Models | Nathan Lambert on what matters in the AI and science world
Open models are often discussed as if they’re competing head-to-head with frontier systems. Are they catching up? Falling behind? Are they “good enough” yet? Nathan Lambert doesn’t believe open…
Inside MiniMax: How They Build Open Models
First Western interview with a senior MiniMax researcher. Olive Song explains how they actually build models that work. When MiniMax's RL training wouldn't converge, they debugged layer by layer…
This Is a Fight Worth Having: The Case for Open Source AI | Raffi Krikorian, Mozilla CTO
In the first episode of Inference’s quarterly series on Open Source AI, we talk to Raffi Krikorian, CTO of Mozilla, about when open source AI stops being aspirational and becomes an operational…
What AI Is Missing for Real Reasoning? Axiom Math’s Carina Hong on how to build an AI mathematician
Is math the ultimate test for AI reasoning? Or is next-token prediction fundamentally incapable of discovering new truths and discovering conjectures?Carina Hong, co-founder and CEO of Axiom Math,…
Can We Control AI That Controls Itself? Anneka Gupta from Rubrik on…
Is security still about patching after the crash? Or do we need to rethink everything when AI can cause failures on its own? Anneka Gupta, Chief Product Officer at Rubrik, argues we're now living in…
Spencer Huang: NVIDIA’s Big Plan for Physical AI: Simulation, World Models, and the 3 Computers
When robots move into the real world, speed and safety come from simulation! In his first sit-down interview, Spencer Huang – NVIDIA’s product lead for robotics software – talks about his role at…
Why do we need a special Operating System for AI?
When thousands of AI agents begin to act on our behalf, who builds the system they all run on? Renen Hallak – founder and CEO of VAST Data – believes we’re witnessing the birth of an *AI Operating…
The Future of Cancer Diagnosis: Digital Pathology and AI
This episode of Inference is dedicated to Breast Cancer Awareness Month. I’m talking with Akash Parvatikar – AI scientist and product leader in digital pathology and computational biology. He leads…
What Really Blocks AI Progress? Ulrik Hansen from Encord thinks it’s…
Is compute the main roadblock? Or the models are not big enough for AGI? Ulrik Hansen, president and co-founder of Encord, argues that the true bottleneck is data. In this episode of Inference, we…
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Inference by Turing Post has published 32 episodes since April 2025, covering topics in Technology.
Inference by Turing Post is currently highly active with new episodes every 2 weeks. Average episode length is 26m.
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