Aug 17, 2026

Reading Group July 2026 - Loop Engineering

This session provides an in-depth exploration of Loop Engineering, a paradigm shift from manual AI prompting to designing autonomous systems that orchestrate AI agents. Speakers share practical experiences, from building production-grade platforms with automated code generation and adversarial AI reviews to experimental loop structures and foundational infrastructure layers. Key discussions address challenges like managing token costs, preventing agent chaos, and implementing robust verification mechanisms for industrializing software development.

Aug 16, 2026

OpenAI’s Head of Design: This is the best time in history to be a designer | Ian Silber

Ian Silber, OpenAI's Head of Design, discusses the paradoxical anxiety among designers despite AI's transformative potential. He explains why this is the best time to be a designer, emphasizing curiosity, systems thinking, and the human element in an AI-amplified world. The conversation delves into ChatGPT's evolution as a "super app" and the unique design challenges of building for vastly diverse users.

Aug 16, 2026

5 Ways to Connect AI Agents to Tools: From APIs to MCP

Grant Miller outlines five evolving patterns for integrating AI agents with tools, starting from simple direct API connections to complex, secure token-based architectures. The discussion highlights the progression of these methods, emphasizing how authentication, user delegation, abstraction layers like MCP, and secure credential management using vaults improve security, observability, and scalability in agentic systems.

Aug 15, 2026

How Nuclear Will Unlock Energy Abundance with Valar Atomics Founder Isaiah Taylor

Valar Atomics, led by Isaiah Taylor, is redefining nuclear energy by building and iterating advanced reactors, including powering an NVIDIA Blackwell chip directly with a live nuclear reactor for a website. This episode delves into Valar's hardware-first approach, their navigation of regulatory pathways, and their vision for how cheap, abundant nuclear power, especially with AI-driven demand, will lead to 'hyper-technoindustrialism' and vastly improve human quality of life.

Aug 14, 2026

Building And Structuring An AI Native Company

Tom Blomfield of Y Combinator discusses the paradigm shift towards AI-native companies, moving beyond traditional human-centric hierarchies. He introduces the concept of self-improving AI loops—where systems continuously learn and evolve without human intervention—and illustrates this with examples like YC's self-healing data agents and living user manuals. Blomfield explores the vision of 'AI employees with VMs' leading to a 'company brain,' where humans transition to the 'edge' for intuition and real-world interaction. He concludes with practical advice for founders: prioritize token burn over headcount, ensure all data is AI-legible, and leverage AI for strategic simulations like investor calls.

Aug 14, 2026

Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier Labs (Ep. 1018)

Jon Krohn dissects Alibaba's Qwen 3.8 Max, a 2.4-trillion-parameter Mixture-of-Experts (MoE) model positioned as the largest open-weight release in history if its promised weights ship. The discussion covers its multimodal capabilities, 1M token context window, and performance competitive with Anthropic's Claude Fable 5. Key highlights include its advanced multi-day agentic capabilities and aggressively low pricing ($2 in / $6 out per million tokens), intensifying the AI price war. Krohn also provides critical insights into the safety of using Chinese models, emphasizing data handling practices and the benefits/risks across different deployment scenarios.