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Revolutionizing Cybersecurity and AI-Driven Science with OpenAI President Greg Brockman

Revolutionizing Cybersecurity and AI-Driven Science with OpenAI President Greg Brockman

Greg Brockman, OpenAI co-founder and president, discusses OpenAI's recent math results, in which roughly 400 open problems were resolved using AI agents, and why he believes AI can now generate genuinely new knowledge. The conversation covers AI oversight and communication techniques like debate and iterative amplification, the data bottlenecks that separate math from biology, the potential transformation of drug discovery and regulation, the proactive always-on Dots agent, the convergence of consumer and enterprise AI, why the best UI may be no UI, the cybersecurity 'defenders' window,' and why security spending should outstrip software spending while humans stay in control.

CoreWeave Fully Connected 2026 Keynote: Introducing CoreWeave Forge | Built for Adoption

CoreWeave Fully Connected 2026 Keynote: Introducing CoreWeave Forge | Built for Adoption

CoreWeave's Fully Connected 2026 Day 1 keynote centers on the AI loop of run, observe, curate, improve and evaluate, and the launch of CoreWeave Forge. It covers production agent operations, agent observability and RL rollouts, Vera Rubin NVL72 and the Vera CPU, and enterprise evaluation practices from Capital One, Caterpillar and Cognition.

Scalable Training of Diffusion Samplers via Fixed-point Score Matching

Scalable Training of Diffusion Samplers via Fixed-point Score Matching

Denis Blessing presents scalable training of diffusion samplers via fixed point score matching: a unifying framework for learning Boltzmann-type distributions from energy evaluations alone, with applications to amorphous materials, alloy phase diagrams, and reinforcement learning with flow policies.

Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma

Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma

Harish Gaggar of Intuit Credit Karma walks through an internal paved path for taking enterprise AI agents from experiments to production. The talk covers portal-based registration and provisioning, a centralized authenticated MCP gateway with custom reviewed MCP servers, gateway monitoring with OpenTelemetry, Tempo, Prometheus, and Grafana, LangGraph workflows with policy checks and human approval, durable memory through threads and checkpoints, agent tracking and evaluation records, PII filtering, and context optimization for token reduction.

Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder

Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder

Jiachen Jiang uses three agent security incidents, the Replit production database deletion, a relayed banking compromise involving Copilot, and the Nx supply chain attack, to argue that prompts cannot enforce boundaries. He maps each incident to six infrastructure controls: environmental separation, short-lived scoped credentials, identity-aligned access, model proxies, sandboxing, and independent audit logs.

Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert

Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert

Nathan Lambert, AI researcher and founder of the nonprofit Trillium, joins Lisha Li to examine how durable the gap is between frontier closed labs like OpenAI and Anthropic and open-weight models. The discussion covers compute, data, and talent as the drivers of model progress, how much distillation really matters for Chinese open labs, the evolution of post-training toward RL environments, and why open research on RL environments and recursive self-improvement is needed to demystify what frontier systems can and cannot do.