Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723
Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his recent paper, “Scaling up Test-Time Compute with Late...
17 Maalis 202558min
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722
Today, we're joined by Chengzu Li, PhD student at the University of Cambridge to discuss his recent paper, “Imagine while Reasoning in Space: Multimodal Visualization-of-Thought.” We explore the motiv...
10 Maalis 202542min
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721
Today, we're joined by Niklas Muennighoff, a PhD student at Stanford University, to discuss his paper, “S1: Simple Test-Time Scaling.” We explore the motivations behind S1, as well as how it compares ...
3 Maalis 202549min
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 c...
24 Helmi 20251h 7min
π0: A Foundation Model for Robotics with Sergey Levine - #719
Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the m...
18 Helmi 202552min
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718
Today we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agents and multi-agent systems shaping 2025 and beyond....
10 Helmi 20251h 44min
Speculative Decoding and Efficient LLM Inference with Chris Lott - #717
Today, we're joined by Chris Lott, senior director of engineering at Qualcomm AI Research to discuss accelerating large language model inference. We explore the challenges presented by the LLM encodin...
4 Helmi 20251h 16min
Ensuring Privacy for Any LLM with Patricia Thaine - #716
Today, we're joined by Patricia Thaine, co-founder and CEO of Private AI to discuss techniques for ensuring privacy, data minimization, and compliance when using 3rd-party large language models (LLMs)...
28 Tammi 202551min
