Sep 07, 2026

Self-Improving Harnesses, Local Personal AI And YC's Agent For Work | YC Paper Club

A deep dive into the evolving world of LLM harnesses, demonstrating how they've transformed from simple prompt engineering into sophisticated self-improving systems. The discussion covers architectural advancements (e.g., Prime Agent's context as cache, Turing vs. Von Neumann), practical applications (auto-researchers, on-device personal AI like OpenJarvis, YC's QM for work), and the challenges and future directions of agentic AI. It emphasizes that harness innovation is key to unlocking significant performance gains and enabling LLMs to operate autonomously and adaptively.

Sep 04, 2026

In Case You Missed It in August 2026 (Ep. 1024 with Jon Krohn)

This episode explores the critical gap between AI investment and return, featuring insights from industry leaders. It covers why most organizations fail to see ROI from AI, the crucial role of mathematical optimization in agentic AI to ensure constraint adherence, practical strategies for structuring AI skills in tools like Claude for quality output, and a 10-20-70 budget framework emphasizing upskilling. Additionally, it delves into the growing importance of the semantic layer for analytics agents to ensure consistent data interpretation and efficiency in large enterprises.

Sep 04, 2026

Anthropic reveals hardware specs and Claude updates, OpenAI talks security, and Runway's new model

This episode of Mixture of Experts delves into the latest frontier AI news, covering Anthropic's new Fable and Mythos models with their nuanced performance and commercial strategy, OpenAI's alarming security incident involving highly capable AI agents, Runway's innovative Solaris introducing 'Interface World Models' for dynamic UI generation, and Anthropic's Model Hardware Standard pushing AI into physical equipment control.

Sep 01, 2026

Why Your AI Agent Needs a Wallet: USDC and Nanopayments — Harshal Bhangale, Circle

Harshal Bhangale from Circle demonstrates how AI agents equipped with a digital wallet, powered by USDC and Circle's Nanopayments, can autonomously pay for microtransactions at high frequency. He contrasts this with traditional payment methods and blockchain limitations, showing how funded agents successfully execute complex tasks (like trip planning with email and phone calls) that unfunded agents cannot, emphasizing the need for real-time, low-cost payment infrastructure for the agentic economy.

Sep 01, 2026

Why Your Agent Evals Are Missing the Real Failures (with Aishwarya Srinivasan)

Aishwarya Srinivasan, co-founder of The Gen Academy, discusses the shift in AI and software engineering, highlighting how "cheap code" necessitates strong engineering judgment and a "whole-system eval" approach for agentic AI. She explains the resurgence of reinforcement learning for fine-tuning, the evolution from prompt to loop engineering, and introduces her MIND framework for living with AI. Srinivasan emphasizes experimentation as the most critical career skill and offers insights into what differentiates successful AI startups in today's competitive landscape.

Aug 28, 2026

AI-Native Organisations Run on Skills: How to Structure and Scale Them — Imad Touil, QuantumBlack

Imad Touil explores the critical need for governing AI skills within organizations, asserting that skills represent the true repository of enterprise know-how. He contrasts simplified coding agent loops with complex, real-world product lifecycles, demonstrating how ungoverned skills lead to technical debt—including duplication, quality degradation, security risks, and lack of discoverability. Proposing a microservices-inspired approach, Touil outlines a centralized skills platform and human-led governance model essential for achieving deterministic workflows, boosting productivity, and mitigating risks in AI-native enterprises.