Oct 16, 2026

Decision models take off & Anthropic bans cruelty to Claude

The panel examines the rise of decision models, a family of LLM-based systems that return a single, scored classification in one forward pass, and asks whether they are genuinely new or a smarter use of existing architectures. It then weighs the cost and benefit of multi-agent teams, drawing on a study that found agent teams cost two to five times more without consistently better results, and closes with Anthropic's new policy against sustained cruelty toward its models and what it says about AI safety, ethics, and human behavior.

Oct 09, 2026

High-Performance Engineering: Forward Deployed at Aston Martin F1

A session on CoreWeave's forward deployed engineering partnership with the Aston Martin Aramco F1 Team, covering why Formula 1 is an unforgiving environment for AI, and three projects: a unified data platform for aerodynamic and telemetry data, Delta to Map, a small transformer model that reduces the gap between wind tunnel predictions and track measurements, and Radio Insights, a fine-tuned speech-to-text and agentic system that makes sense of 40 live radio channels. The discussion extracts lessons applicable to any team moving AI from experiment to production under fixed deadlines.

Oct 08, 2026

Rapidly Deploying Useful General-Purpose Robots at Walden Robotics

A talk from Walden on deployment-first physical AI: getting general-purpose robots into real manufacturing production, using remote assistance as a human-in-the-loop safety and learning mechanism, and building a data flywheel in which operational data drives continuous improvement of large behavior models.

Oct 08, 2026

AI Scientists Are Here: Autonomous Labs & Synthesis Superintelligence — Periodic Labs

Liam Fedus and Ekin Dogus Cubuk of Periodic Labs explain why scientific discovery requires physical experiments rather than more internet data alone, and how they are building autonomous labs where AI systems reason under noise and uncertainty. The conversation covers reinforcement learning grounded in experiments, the materials discovery loop from prediction to synthesis to characterization, the limits of DFT, why physics remains unsolved, negative results as training data, scaling autonomous labs, and the broader goal of synthesis superintelligence aimed at discovering new superconductors, magnets, and batteries.

Sep 25, 2026

Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis

Anastasis Germanidis, co-founder of Runway, discusses the company's journey from early generative creative tools to frontier video models, emphasizing their pivot towards general-purpose world simulation. He details the evolution of Gen-1, Gen-2, and Gen-3 (scaling 10x after Sora's release), highlighting the importance of controllability and the inevitability of real-time generation. The conversation delves into cutting-edge applications like Interface World Models (a fully neural operating system) and World Models for Robotics, where third-person video data and robust simulation are key to training intelligent agents.

Sep 24, 2026

I Gave an AI a Body — Cyrus Clarke, MIT Media Lab

Cyrus Clarke, a researcher at the MIT Media Lab, connected an OpenClaw agent to a 900-pin shape display and asked it to discover its own identity rather than complete tasks. The talk covers the agent's first behaviors, the public reaction, the philosophical influences behind his approach to AI embodiment, and a closed-loop system that taught the agent a gesture-based body language that now responds faster than its language model.