Open weight models

The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents

The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents

George Kurtz, CEO of CrowdStrike, discusses how agentic AI has flattened the adversary pyramid, putting nation-state-grade tradecraft in the hands of low-skill attackers, and why open-weight models have become the tip of the spear. He covers CrowdStrike's Safe Mind lab, built with NVIDIA around red and blue security models trained on fifteen years of telemetry, the lessons from the Hugging Face incident, the case for defense dominance, and why he sees AI as a net creator of opportunity.

AI Can Automate 60% of Tasks... But There's a Catch

AI Can Automate 60% of Tasks... But There's a Catch

MIT FutureTech director Neil Thompson revisits his group's 2020 computational limits paper and discusses his newer research on how AI automates tasks across the economy, covering the crashing-waves versus rising-tides survey, adoption bottlenecks, fixed-cost economics, apprenticeship risks, AI safety, and the open versus closed model debate.

How MiniMax M3 Was Built: Sparse Attention and Native Multimodality — Olive Song

How MiniMax M3 Was Built: Sparse Attention and Native Multimodality — Olive Song

Olive from MiniMax walks through MiniMax M3, an open-weight model built for agentic coding, 1M token context, and native multimodality from the first training step. The talk centers on MSA, a GQA-aware block-level sparse attention design co-developed with GPU infrastructure in mind, and on why training text and vision together from scratch beats adding vision later.

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

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.

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

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.

OpenAI's always-on agents, 700+ math manuscripts & HackerRank's AI interviewer

OpenAI's always-on agents, 700+ math manuscripts & HackerRank's AI interviewer

The panel covers OpenAI's Dots and the wave of persistent AI agents, OpenAI's release of hundreds of AI-generated math manuscripts and what it means for human mathematicians, and HackerRank's Chakra AI interviewer and its implications for fairness and evaluation. The episode closes with an explainer on mixture of experts architectures and the difference between open-weight and open-source models.