May 27, 2026

He Raised $70M to Cure Every Disease With AI

Samuel Rodriques, founder of Edison Scientific, shares his journey from physics to building an AI scientist named Kosmos. He discusses how AI agents are already making novel discoveries, including a potential cure for blindness, and are poised to revolutionize drug discovery. The conversation dives into AI's strengths in high-throughput reasoning, the critical bottlenecks in clinical trials, proposed reforms for the US medical system, and whether human scientists will still be needed in an age of hyper-intelligent AI.

May 26, 2026

The Four Types of Memory Every AI Agent Needs

AI agents utilize four distinct types of memory, analogous to human cognition, to move beyond simple chatbot responses. This summary explores the CoALA framework, detailing working, semantic, procedural, and episodic memory and how they enable agents to learn, recall skills, and leverage past experiences.

May 24, 2026

⚡️ Why you should build Science Fiction — Sunil Pai, Cloudflare

Sunil Pai from Cloudflare discusses building efficient AI agent architectures using Durable Objects and Dynamic Workers as an alternative to platforms like Anthropic's. He explores the search for a standardized 'React-like' framework for agents, the culture of forking in open source, and encourages developers to pursue original, 'sci-fi' style projects.

May 24, 2026

Five AI Risks That Can Get You Fired—And How to Avoid Them

Martin Keen explains five real-world AI risks that can lead to job loss: shadow AI, data leakage, hallucinations, prompt injection, and unauthorized AI agents. He emphasizes the critical need for strong AI governance to ensure safe and productive AI adoption in the workplace.

May 22, 2026

Lobster Trap: OpenClaw in Containers from Local to K8s and Back — Sally Ann O'Malley, Red Hat

This talk presents a container-first methodology for developing, distributing, and managing AI agents. Using a stack of Podman for local development and Kubernetes for scalable deployment, this approach transforms personalized agent setups from messy collections of files into reproducible, secure, and portable container images that can serve as a team-wide baseline. The session covers practical techniques for secrets management, state persistence, and automated setup, highlighted by a real-world example from an Nvidia team using this pattern for model evaluations.

May 21, 2026

AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona

Daytona CEO Ivan Burazin discusses the company's pivot from developer environments to composable computers for AI agents. He explains the unique infrastructure challenges posed by spiky RL and eval workloads, Daytona's bare-metal architecture with a custom scheduler for high performance, and the future need for stateful Windows and macOS sandboxes to automate knowledge work.