Sep 18, 2026

Total Recall: Agent Memory and Harness Engineering — Ignacio Martinez, Oracle

Ignacio Martinez's workshop delves into agent harness engineering, emphasizing that while LLMs are a 'frozen' reasoning core, the surrounding harness is where control and reliability are established. He outlines a seven-layer architecture for building robust agent harnesses, covering critical aspects like hybrid storage solutions, advanced memory engineering (including in-database embeddings and context card management), the semantic layer (Umwelt), agent loops, and context engineering. The session also explores continual learning through 'skill promotion' and addresses practical challenges like managing vast tool sets and optimizing model interactions.

Sep 18, 2026

The Next Breakthroughs in AI with Yossi Matias | The Google Research Podcast

Yossi Matias, VP and GM of Google Research, discusses how Google prototypes the future by inventing it, emphasizing the current "Golden Age of Research." Key themes include the seamless integration of AI through ambient intelligence and adaptive Generative UI, architectural advancements that push beyond scaling laws with techniques like Speculative Decoding, and multi-agent AI systems such as AI Co-Scientist and Empirical Research Assistance for accelerating scientific discovery. He also details Google Earth AI for crisis resilience and planetary intelligence, breakthroughs in healthcare diagnostics with MedGemma and the Google Health app, and milestones in quantum computing with the Willow chip, ultimately envisioning a future where AI amplifies human ingenuity and solves humanity's biggest challenges.

Sep 18, 2026

The AI Employee for Banks

Kastle founders Rishi and Nitish discuss their journey building AI employees for banks, from a difficult pivot before YC Demo Day to processing billions in transactions. They share insights into finding product-market fit in a highly regulated industry, ensuring AI reliability and compliance despite non-deterministic LLMs, and their vision for automating financial operations.

Sep 18, 2026

Pacing the AI frontier, IBM Granite 4.2 & Meta’s Muse assistant

This episode explores the critical debate around pacing frontier AI development, driven by Anthropic's CEO Dario Amodei's call for slowdowns amidst growing concerns over AI risks. It then delves into IBM's latest Granite 4.2 release, highlighting innovations in agentic models, speech recognition, and advanced training techniques like synthetic data and mid-training. Finally, the discussion pivots to Meta's new Muse agentic AI assistant, examining its technical design, the strategic rationale behind Meta's push into productivity, and the inherent privacy dilemmas and trade-offs between utility and user comfort that define the future of personal AI.

Sep 18, 2026

Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon

Stefano Ermon, co-founder and CEO of Inception, discusses his company's radical bet on diffusion models to overcome the hardware and latency bottlenecks of autoregressive LLMs. He explains how parallel token generation in diffusion offers superior inference scaling and GPU utilization, expanding beyond images to discrete text and code generation. Ermon shares insights into Inception’s Mercury models, real-world applications like voice agents, the custom software stack required, and why efficiency will define the next era of AI competition.

Sep 17, 2026

How Real-Time AI Video Is Changing How Creators Work

fal's H3 Max significantly accelerates generative video, achieving real-time capabilities and substantial cost reductions through advanced model post-training and system optimizations. The discussion covers its technical "secret sauce," the emergence of continuous, controllable video experiences like H3 Max Director, and fal's strategic shift to focus on granular controllability and quality for professional Hollywood workflows, including precise camera, lighting, and motion controls.