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Inference by Turing Post

Turing Post
Artificial Intelligence
Generative AI
Application Development
AI Agents
AI Literacy
Retrieval-Augmented Generation
AI Infrastructure
Model Context Protocol
NVIDIA
Healthcare
Foundational Models
Open Source AI
Replit
Artificial General Intelligence (AGI)
AI Collaboration
Hallucination In AI
Human Ground Truth
Webflow
AI Memory
AI Hallucinations

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... more

PublishesDailyEpisodes28Foundeda year ago
Number of ListenersCategory
Technology

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Artwork for Inference by Turing Post

Latest Episodes

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 t... more

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.

I... more

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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... more

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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 when you are no longer typing most of the code? Wh... more

YouTube

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Recent Guests

Sanja Fidler
Associate Professor at the University of Toronto; VP of AI Research at NVIDIA
NVIDIA, University of Toronto
Episode: Transformers Are Not the End Game | World Models, Physical AI, and AI’s Next Frontier
Ali Kani
Vice President of Automotive at NVIDIA
NVIDIA
Episode: Inside NVIDIA’s Plan to Bring Self-Driving to Every Car | Ali Kani explains
Michael Bolin
Lead for the Open Source Codex
Codex/OpenAI
Episode: OpenAI’s Michael Bolin on Codex, Harness Engineering, and the Real Future of Coding Agents
Ksenia Se
Host of the show
Episode: OpenAI’s Michael Bolin on Codex, Harness Engineering, and the Real Future of Coding Agents
Ioannis Antonoglou
Co-founder and CTO of Reflection AI; helped build AlphaGo and worked on AlphaZero and MuZero at DeepMind
Reflection AI
Episode: Why Reflection AI Bets Their Business on Open Weights | Ioannis Antonoglou, co-founder and CTO
Nathan Lambert
Research scientist at Allen Institute for AI; RLHF specialist; open model advocate
Allen Institute for AI
Episode: Why the US need Open Models | Nathan Lambert on what matters in the AI and science world
Olive Song
Senior researcher at MiniMax
MiniMax
Episode: Inside MiniMax: How They Build Open Models
Raffi Krikorian
CTO at Mozilla
Mozilla
Episode: This Is a Fight Worth Having: The Case for Open Source AI | Raffi Krikorian, Mozilla CTO
Carina Hong
Co-founder and CEO of Axiom Math
Axiom Math
Episode: What AI Is Missing for Real Reasoning? Axiom Math’s Carina Hong on how to build an AI mathematician

Host

Ksenia Se
Host and founder of Turing Post, leading discussions that focus on AI's implications and practical applications. Known for engaging deeply with guests to unpack complex AI themes and promote informed dialogue.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#243
United Kingdom/Technology
Apple Podcasts
#240
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

Transformers Are Not the End Game | World Models, Physical AI, and AI’s Next Frontier
Q: When do you think we'll reach a ChadGPT moment for physical AI?
For autonomous driving, a ChadGPT moment—where systems run broadly and reliably with fewer silly mistakes—could come in the next few years; for general robotics, the timeline is longer due to hardware and integration challenges, but progress is rapid given the open, collaborative ecosystem.
Transformers Are Not the End Game | World Models, Physical AI, and AI’s Next Frontier
Q: Do you think Transformers are the end game or are there other architectures that will drive breakthroughs in world models?
Transformers are a very general backbone, but new architectures like state space models and mixture of experts are already being explored; the field will continue to change as researchers optimize for efficiency and multimodal capabilities, so the end game is not fixed.
Transformers Are Not the End Game | World Models, Physical AI, and AI’s Next Frontier
Q: What are you most excited about with the current announcements at GTC related to your work?
I'm excited about Alpa Dreams and Cosmos, which advance interactive, generative simulation and bring real-time capabilities to a wide range of scenarios, especially in autonomous driving and robotics, by improving speed, quality, and the ability to interact with models in loop.
OpenAI’s Michael Bolin: What Engineers Still Matter For in the Age of Coding Agents
Q: What excites you most about this moment in software engineering?
The ability to go from idea to prototype to product much faster, lowering time-to-market and enabling experimentation that would have been impractical before. The emphasis is on faster iteration and expanding the range of things developers can try.
OpenAI’s Michael Bolin: What Engineers Still Matter For in the Age of Coding Agents
Q: Will engineers still matter when agents write more code?
Yes, the guest argues that while agents can write much of the code, human taste and responsible oversight are essential to ensure the outcomes are robust, secure, and well-architected. Humans will focus on shaping artifacts, making higher-level design decisions, and maintaining accountability for the codebase.

Audience Metrics

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Frequently Asked Questions About Inference by Turing Post

What is Inference by Turing Post about and what kind of topics does it cover?

A series that tackles pressing questions about artificial intelligence, exploring the practical implications and real-world applications of emerging technologies. It features candid discussions with a diverse range of guests, including researchers, founders, and engineers, who share their insights on the evolving landscape of AI. Episodes focus on subjects like AI literacy, the future of coding, and the impact of AI on web development, emphasizing a practical and sometimes critical perspective on the advancements and challenges in the field. The aim is to provide listeners with a deeper understanding of the intricate dynamics between AI research, technological developments, and business strategies, offering a thoughtful analysis of where AI... more

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Inference by Turing Post launched a year ago and published 28 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Inference by Turing Post?

Recent guests on Inference by Turing Post include:

1. Sanja Fidler
2. Ali Kani
3. Michael Bolin
4. Ksenia Se
5. Ioannis Antonoglou
6. Nathan Lambert
7. Olive Song
8. Raffi Krikorian

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