Sep 11, 2026

OpenAI’s GPT-6 Astra (Ep. 1026 with Jon Krohn)

Jon Krohn examines OpenAI's GPT-6 Astra, its new flagship model. He delves into its state-of-the-art capabilities across computer use, coding, abstract reasoning, and scientific discovery, including its role in finding zero-day vulnerabilities. Krohn also critically analyzes the AGI claims surrounding Astra, comparing its performance and safety features with competitors like Anthropic's Fable 5.1, offering a balanced perspective on its significance.

Sep 11, 2026

OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWorm exploit & IBM’s US Open app

This episode explores OpenAI's groundbreaking GPT-6 Astra model and its resolution of the Navier-Stokes equation, the AI-powered fan experiences developed by IBM for the US Open, and the concerning implications of AI-assisted cybersecurity threats like the WeWorm zero-click exploit.

Sep 10, 2026

Probabilistic Inference for Controlling Diffusion Models

An in-depth presentation on controlling diffusion models during inference, categorizing techniques into sequential and parallel families. The talk explores both approximate and exact probabilistic inference methods, highlighting their underlying principles, computational trade-offs, and applications in areas like rare event sampling and protein design. A practical roadmap is provided for selecting the most suitable control strategy based on objective and computational resources.

Sep 10, 2026

The Design-Code Roundtrip That Isn't — Jonathan Gordon, ReWeaver AI

Jonathan Gordon, with three decades in dev tools, unpacks why AI hasn't solved the design-code roundtrip problem. He introduces ReWeaver, a tool that uses deterministic guardrails to detect and manage "drift" between AI-generated code and design, ensuring fidelity and control across dimensions like accessibility and design consistency, ultimately advocating for humans to remain in control.

Sep 10, 2026

How AI Is Rewriting the Power Law of Venture Capital

This episode delves into how AI is fundamentally altering the power law of technology investing, making capital a compounding advantage for AI companies and expanding the total addressable market far beyond traditional software. The guests discuss rethinking portfolio construction, the challenges of evaluating true AI traction amidst hype, the struggles of legacy SaaS businesses, and future trillion-dollar opportunities in robotics, autonomy, healthcare, and physical infrastructure, emphasizing that the real bottleneck for AI's growth is often on the supply side, particularly compute and energy infrastructure.

Sep 10, 2026

AI Is Missing This Data

David Fattal, CTO of Leia Inc., explains why stereo data is crucial for developing robust AI world models that can accurately understand 3D geometry and interact with the physical world. He contrasts it with monocular data, highlighting stereo's superior ability to ground AI in reality. Fattal introduces Leia's technology for glasses-free 3D displays on standard devices, predicting a "device-data flywheel" where accessible 3D hardware drives user-generated stereo content, providing essential data for AI advancement, a crucial differentiator for future AI companies.