Lloyd Blankfein, former CEO of Goldman Sachs, shares insights on leadership in crisis, the philosophy of risk management, and the evolution of institutional culture. He discusses navigating the 2008 financial crisis, the transition from a partnership to a public company, and the profound impact of technology and AI on finance and risk.
Explore the evolution of AWS Lambda and the serverless ecosystem over the last decade, focusing on the two core pillars that have revolutionized the developer journey: Developer Experience (DevEx) and Observability. This session covers the shift from console-based workflows to modern IDE-integrated development, the role of tools like Lambda Layers and Extensions, and the importance of the broader serverless landscape including AWS Step Functions.
Dr. Trevor Manz from Marimo introduces Marimo Pair, an open-source agent skill that enables coding agents like Claude Code to interact with and drive reactive Python notebooks. He discusses the mechanics of agent skills, the power of recursive language models for agentic reasoning, and his work on the AnyWidget project, which bridges the gap between Python's data ecosystem and interactive web technologies.
Current AI agents are powerful but lack memory, context, and safety, behaving like "genius goldfish." This summary explains the necessity of an AI Agent Operating System (OS) to provide essential infrastructure for managing memory, tools, identity, and governance, making agents reliable, scalable, and trustworthy.
Matthias Luebken explains the core principle of building with coding agents: make things easy for them. This talk deconstructs the Pi SDK, showing how a simple loop of an LLM calling CLI tools can lead to emergent capabilities. Luebken presents a real-world B2B sales pipeline built on this principle, where agents handle incoming emails, query CRM/ERP data via simple tools, and generate draft responses, keeping the human in their familiar email client.
This talk explores the journey of building Viktor, an AI employee that lives entirely in Slack. It details the unique challenges of scaling an AI agent from a personal tool to a company-wide coworker, focusing on memory isolation, context management across different Slack interactions (DMs, channels, threads), and the surprising importance of the AI's personality for user adoption.