Llms

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.

🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik

🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik

Professor Heather Kulik shares her hard-won perspective on applying AI to materials science, from discovering novel polymers with surprising quantum properties to the practical limitations of LLMs and the critical need for integrating deep domain expertise with data-driven methods.

Lessons from 25 Trillion Tokens — Scaling AI-Assisted Development at Kilo

Lessons from 25 Trillion Tokens — Scaling AI-Assisted Development at Kilo

Scott Breitenother, CEO of Kilo, discusses the evolution of software development, where engineers are shifting from writing code to orchestrating AI agents. He shares lessons from processing 25 trillion tokens, emphasizing the critical role of trust, the importance of end-to-end ownership, and how this new paradigm leads to a 10x increase in shipping velocity.

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

Andrej Karpathy discusses the paradigm shift to AI agent-driven development, the future of engineering and research with his AutoResearch project, the impact on jobs, and the evolving landscape of open-source models, robotics, and education.

Write Reliable Software with Temporal

Write Reliable Software with Temporal

Johann Schleier-Smith from Temporal explains Durable Execution, a paradigm for building reliable, long-running applications. He details how Temporal's model of deterministic workflows and stateful activities provides a robust alternative to traditional checkpointing and event-driven architectures, especially for complex, LLM-driven agentic systems.

Under Secretary of War on Iran, Anthropic and the AI Battle Inside the Pentagon | The a16z Show

Under Secretary of War on Iran, Anthropic and the AI Battle Inside the Pentagon | The a16z Show

Emil Michael, a key figure in the Department of Defense, outlines his strategy for modernizing the department by prioritizing Applied AI. He details the risks discovered in existing commercial AI contracts, which led to a vendor-lock crisis, and explains how the DoD is reforming its procurement processes to better engage with innovative startups and ensure technology serves national security interests without restrictive terms.