Inference by Turing Post
Inference by Turing Post
Podcast Description
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.
Podcast Insights
Content Themes
The podcast explores themes centered on AI development, coding philosophy, and AI challenges. Key episodes include discussions on the future of coding with Amjad Masad reflecting on AI agents and their role in software development, Sharon Zhou dissecting AI hallucinations and the importance of grounding benchmarks in reality, and Mati Staniszewski tackling real-time language translation and maintaining emotional nuance in AI voice synthesis, illustrating a commitment to thoughtful, nuanced explorations of AI's impact on society.
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.
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
Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.