Aug 11, 2026

How Companies Are Building Their Own Intelligence | Sonya Huang, Sequoia Capital

Sonya Huang of Sequoia Capital discusses the strategic imperative for companies to embrace "sovereign AI" by owning their AI models and weights. She identifies cost, speed, performance, and controlling destiny as the four driving forces behind this shift. Huang argues that the competitive landscape is moving towards owning the intelligence layer, positioning application companies as the new innovation labs. She provides a practical, opinionated framework covering strategy (what to own vs. rent), team building, ensuring external legibility of research, and a technical roadmap for implementation, emphasizing how open-weight models now enable frontier-level performance through ownership and customization.

Aug 10, 2026

Peter Steinberger: What Happens When 4.7 Million People Let It Cook

Peter Steinberger, founder of OpenClaw, shares the candid story of building one of the world's largest open-source AI projects. Starting from a personal annoyance, OpenClaw went viral, leading to both immense success and unforeseen challenges, including burnout, security pressures, and feature creep. He offers invaluable lessons on product-market fit, managing hyper-growth in open source, the peril of dependencies, and the philosophy that "fun is velocity" in building impactful technology.

Aug 06, 2026

How Open Source Became AI's Backbone | Inferact with a16z

Simon Mo, CEO of Inferact and lead maintainer of vLLM, discusses how open-source AI, exemplified by vLLM, transformed into critical infrastructure. The conversation highlights the technical complexities of serving LLMs, the evolving economics and licensing of open-weight models, the need for control over guardrails, and the rapidly disappearing capability gap between open and proprietary AI.

Aug 05, 2026

The Nuclear Renaissance - Radiant |  a16z American Dynamism

Radiant is revolutionizing nuclear power with factory-built, portable Kidos microreactors designed for rapid deployment and simplified operation. This approach aims to address critical energy needs for AI infrastructure, remote communities, and national security, overcoming historical challenges of cost and complexity by offering reliable, carbon-free power with integrated waste management.

Aug 04, 2026

40 Trillion Tokens a Day (Yes, More Than OpenAI) | Lin Qiao, CEO of Fireworks

Lin Qiao, CEO of Fireworks, discusses why specialized AI models built on private company data are the future, contrasting them with general-purpose models. She argues for "open intelligence," revealing Fireworks processes over 40 trillion tokens daily from customized models, more than OpenAI's API. Qiao emphasizes the economic and strategic imperative for companies to own their specialized intelligence, advocating for open-sourcing by frontier labs like OpenAI and Anthropic, while detailing Fireworks' proprietary, quality-obsessed platform for tailored AI solutions.

Aug 03, 2026

Building Turbopuffer: Gergely Orosz (@pragmaticengineer ) × Simon Eskildsen (CEO)

Simon Eskildsen, CEO of Turbopuffer, discusses his unique path from early computer fascinations to founding an S3-native vector search company. He shares insights from his eight years at Shopify, detailing infrastructure scaling challenges and the development of Toxyproxy for fault injection. A core theme is his "napkin math" philosophy, using fundamental performance metrics to optimize systems and challenge benchmarks. He explains the impetus for Turbopuffer, its initial minimalist architecture, and how it achieved a 95% cost reduction for its first customer, Cursor. Simon also touches on the unexpected scarcity of CPUs due to AI workloads and his unconventional, principled approach to venture capital and building a remote-first company culture.