Mar 12, 2026

The Future of Search: Agents, RAG, and Why Retrieval Still Matters — Simon Eskildsen, Turbopuffer

Simon Hørup Eskildsen, founder of turbopuffer, shares his journey from scaling Shopify's infrastructure to creating a new search engine for the AI era. He discusses how a prohibitively expensive experiment at Readwise inspired him to build a cost-effective vector search solution based on object storage and NVMe. Eskildsen breaks down turbopuffer's architecture, its role in cutting costs for companies like Cursor and Notion, his philosophy on building a 'P99' engineering team, and how agentic workloads are changing the future of retrieval.

Mar 12, 2026

From Coder to Manager: Navigating the Shift to Agentic Engineering with Notion Co-Founder Simon Last

Notion's Co-Founder, Simon Last, discusses their evolution from a writing assistant to a platform for custom AI agents. He covers the technical hurdles of semantic indexing, the internal shift toward using coding agents to build Notion, and the fundamental transition from a tool where humans do the work to one where humans manage a swarm of agents.

Mar 11, 2026

The conference that changed our minds about AI

A deep dive into the [un]prompted AI security conference, the new Zero Day Clock initiative for vulnerability management, the emergent risks of autonomous AI agents, and the pervasive issue of burnout in the cybersecurity field.

Mar 10, 2026

The Top 100 Consumer AI Apps | The a16z Show

Anish Acharya and Olivia Moore from a16z discuss the 6th edition of their "Top 100 Gen AI Consumer Apps" report. They analyze the diverging strategies of ChatGPT, Claude, and Gemini; explore global adoption trends and cultural attitudes towards AI; and delve into the rise of agents, the importance of memory, and the future of creative tools and voice interfaces.

Mar 08, 2026

4 Ways AI Agents Should Behave for Smarter Systems

Grant Miller challenges the "Hollywood view" of AI super agents, proposing a shift towards collaborative, specialized agentic systems. He introduces a framework for categorizing agents based on their risk and capability, detailing how to design safer, more effective AI applications by minimizing access, implementing dynamic controls, and incorporating a human-in-the-loop for high-risk tasks.

Mar 07, 2026

AI Won't Replace You—But Someone Using AI Will

In this episode, Ben Lorica and Evangelos Simoudis discuss how AI is fundamentally reshaping the modern workplace. They explore the necessary evolution of knowledge work, from a focus on routine execution to problem definition and spec-driven development, and outline the critical skills professionals must cultivate—including rapid experimentation, AI agent orchestration, and systems thinking—to remain valuable and navigate a more volatile labor market.