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Why Good Companies Go Bad (And How to Stop It)

Why Good Companies Go Bad (And How to Stop It)

Eric Ries, author of "The Lean Startup", discusses his new book, "Incorruptible". He argues that the modern doctrine of shareholder primacy is a value-destroying trap for founders and explains the legal and governance structures—from Public Benefit Corporations to industrial foundations—that can be used to build mission-controlled companies designed to last for generations, using historical examples like Costco and modern case studies like Anthropic.

AI on Android: Ask me Anything — Florina Muntenescu & Oli Gaymond, Google DeepMind

AI on Android: Ask me Anything — Florina Muntenescu & Oli Gaymond, Google DeepMind

Android provides a comprehensive AI strategy through AI Core, which manages the on-device Gemini Nano model. Developers can use the ML Kit GenAI APIs for easy access, with a hybrid inference option to fall back to the cloud for broader device support, ensuring both performance and reach.

Reflections of AI: A Trilogy in 4 Parts • Rasmus Lystrøm • GOTO 2025

Reflections of AI: A Trilogy in 4 Parts • Rasmus Lystrøm • GOTO 2025

In a talk styled as "A Trilogy in Four Parts", Rasmus Lystrøm critically examines the real-world impact of Generative AI, debunking productivity myths and highlighting hidden costs like degraded code quality and environmental strain, while advocating for a return to solving real user problems with valuable, often simpler, technology.

AI at college graduations and why Claude blackmails

AI at college graduations and why Claude blackmails

The Mixture of Experts team discusses the growing skepticism towards AI among younger generations, a Microsoft study revealing how LLMs can corrupt data in complex workflows, Anthropic's data-centric fix for Claude's "blackmailing" issue, and the cultural debate over an AI-generated story potentially winning a literary prize, all circling the central themes of human ownership, trust, and the need for better processes in the age of AI.

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

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.

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Scaling Agents on Kubernetes with acpx and ACP — Onur Solmaz, OpenClaw

Onur Solmaz from OpenClaw discusses the challenge of managing 300-500 daily, often AI-generated, pull requests. He introduces ACPX, a headless CLI for the Agent Client Protocol (ACP), designed to automate PR triage through a node-based workflow. The talk culminates in a vision for on-demand, disposable agent pods on Kubernetes, managed by a Go operator that provisions and tears down full compute environments per task, wiring them into chat platforms like Slack.