Posts

AI agent adoption: From scientists to CFOs

AI agent adoption: From scientists to CFOs

This episode explores the transformative impact of AI through three key discussions: a homeowner using ChatGPT to sell his house, a study on AI adoption in scientific research, and Adobe's CFO building an internal AI lab. The experts deliberate on AI's role in democratizing expertise, the future of professional roles, the challenges and biases in measuring AI's scientific impact, and the critical factors for successful enterprise AI adoption, including process and cultural shifts, and identifying the hottest areas for implementation.

A Common-Sense Guide to AI Engineering • Jay Wengrow & Kris Jenkins • GOTO 2026

A Common-Sense Guide to AI Engineering • Jay Wengrow & Kris Jenkins • GOTO 2026

Jay Wengrow, author of “A Common-Sense Guide to AI Engineering,” breaks down how AI agents work, describing the 'clever hack' of intercepting LLM output to trigger functions. The discussion covers multi-agent architectures for complex tasks, implementing guardrails with regex and judge LLMs, and a pragmatic take on when to use frameworks versus building from scratch. Wengrow emphasizes understanding fundamentals over specific tools to create robust, production-ready AI applications.

How to Pass Context in an Agentic AI Flow

How to Pass Context in an Agentic AI Flow

Grant Miller contrasts the static, single-application context of traditional OAuth with the dynamic, multi-system nature of agentic AI. He explains that agentic flows, involving orchestration, multiple agents, and LLMs, require a more sophisticated approach than simple prompt engineering. The video introduces 'context engineering' as the key strategy, which involves managing the entire system state, user context, and task history to optimize AI interactions and deliver accurate, context-aware responses.

Episode 15 - Inside the Model Spec

Episode 15 - Inside the Model Spec

OpenAI researcher Jason Wolfe explains the Model Spec, the public framework defining intended model behavior. This summary covers its core principles like the 'chain of command,' how it handles complex edge cases, its evolution through public feedback, and its future role in an increasingly autonomous AI landscape.

The Moonshot Podcast S2, Episode 1: Supercharging Human Health

The Moonshot Podcast S2, Episode 1: Supercharging Human Health

A deep dive into three X moonshot projects—Skip's powered "movewear", Project Iris's journey from smart contact lenses to revolutionizing glucose monitoring, and Verily's mission to enable precision healthcare through AI and comprehensive data aggregation.

AI Agents in Practice • Henrik Kniberg • GOTO 2025

AI Agents in Practice • Henrik Kniberg • GOTO 2025

Henrik Kniberg shares practical experiences from over two years of AI agent development, defining agents as autonomous entities with missions, tools, and an LLM brain. He covers effective design patterns, architectural insights, and safety considerations, emphasizing the importance of human-in-the-loop collaboration and iterative development to build agents that are not just powerful, but genuinely useful in real-world scenarios.