Posts

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Misha Laskin, co-founder and CEO of Reflection AI, discusses building frontier open-weight models, the launch of the 500B-parameter Beam reasoning model, the economics of renting versus owning intelligence, and why he believes open models will capture most token demand. The conversation covers RL-driven scaling efficiency, Chinese open model ecosystems and their geopolitical implications, and the safety case for openness, including cybersecurity as a lens for defense and offense. He closes with optimism about AI-accelerated science and the evolving research workforce.

High-Performance Engineering: Forward Deployed at Aston Martin F1

High-Performance Engineering: Forward Deployed at Aston Martin F1

A session on CoreWeave's forward deployed engineering partnership with the Aston Martin Aramco F1 Team, covering why Formula 1 is an unforgiving environment for AI, and three projects: a unified data platform for aerodynamic and telemetry data, Delta to Map, a small transformer model that reduces the gap between wind tunnel predictions and track measurements, and Radio Insights, a fine-tuned speech-to-text and agentic system that makes sense of 40 live radio channels. The discussion extracts lessons applicable to any team moving AI from experiment to production under fixed deadlines.

Beyond Faster Simulation: Hitting NASA's 2030 CFD Benchmark and the Infrastructure for Physics AI

Beyond Faster Simulation: Hitting NASA's 2030 CFD Benchmark and the Infrastructure for Physics AI

nTop and CoreWeave completed 10,000 LES CFD simulations in about 32 hours, meeting NASA's 2030 CFD Vision goal four years early. The approach combines signed distance field geometry, which cannot break under parametric variation, with a GPU-native Lattice Boltzmann solver that removes the meshing step entirely. The talk also covers the 14 TB dataset generated and the path toward physics AI surrogates trained in implicit latent space.

Building on the Codex Harness — Dominik Kundel, OpenAI

Building on the Codex Harness — Dominik Kundel, OpenAI

Dominik Kundel from OpenAI's Codex team explains the Codex App Server, the open-source JSON-RPC protocol that wraps the Codex harness and powers the Codex app, IDE extensions, and third-party clients. He covers live protocol events, more than 120 client messages, ChatGPT sign-in, developer instructions, deferred dynamic tools, shipping and binding generation, the Python SDK, and a demo of Codex running inside Doom.

Former Intel CEO: Why This is the Best Time to Build Hardware

Former Intel CEO: Why This is the Best Time to Build Hardware

Pat Gelsinger joins a16z's Raghu Raghuram and Guido Appenzeller to discuss how AI is reshaping chip design, why design speed alone will not fix semiconductor bottlenecks, and why power and energy capacity may ultimately limit AI growth. The conversation covers HBM and memory innovation, stacking limits, the shift from copper to optics, consolidation among AI chip startups, and what a VMware for AI agents might look like.

Stop Prompting — Greg Pstrucha, Sentry

Stop Prompting — Greg Pstrucha, Sentry

Greg Pstrucha of Sentry argues that instead of repeatedly re-prompting coding agents, teams should codify their recurring corrections as deterministic checks. He covers why agents forget and why custom lint rules are now cheap, how to mine transcripts and PR reviews for rules, real Sentry examples that keep OpenAPI schemas and agent skills in sync, written policies and a Grumpy Engineer review loop for qualitative judgment, and why agents game metrics like test coverage.