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 13, 2026

Empowering Intelligence: democratizing data access and driving smarter decisions at Nasdaq

A NASDAQ executive explains how high-performance compute and agentic AI are reshaping both the physical trading infrastructure (data centers, colocation, liquid cooling, and CoreWeave partnership) and the fintech software stack (Verafin, Axiom, Calypso) through a shared intelligence layer. The talk centers on trust, resilience, governance and the bounded-exception problem that makes agentic workflows hard to scale in a regulated market.

Oct 09, 2026

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Misha Laskin, co-founder and CEO of Reflection AI, discusses building frontier open-weight models, the launch of the 500B-parameter Beam reasoning model, the economics of renting versus owning intelligence, and why he believes open models will capture most token demand. The conversation covers RL-driven scaling efficiency, Chinese open model ecosystems and their geopolitical implications, and the safety case for openness, including cybersecurity as a lens for defense and offense. He closes with optimism about AI-accelerated science and the evolving research workforce.

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 09, 2026

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Misha Laskin, co-founder and CEO of Reflection AI, discusses the company's 500B open-weight reasoning model Beam, the economics of frontier training, the shift from renting to owning intelligence in enterprise, the role of Chinese open models in the global ecosystem, and the case that openness itself is a safety strategy. He also reflects on how AI is accelerating scientific research and reshaping research team sizes.

Oct 09, 2026

AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonar

Ali-Reza Adl-Tabatabai, co-founder of Gitar (now part of Sonar), explains why AI-driven growth in PR volume and size turns CI and code review into a bottleneck, and presents agentic validation as the way out: automated review, CI failure analysis, autofix, and auto-merge, built up step by step as trust grows, combined with traditional program analysis in SonarQube.