Nathan Labenz

Erik Torenberg × Nathan Labenz × Logan Kilpatrick × Tulsee Doshi

Gemini 3.5 Flash leads with Tulsee citing roughly 280 tokens per second, about three times faster than other large models and significantly cheaper, prioritizing intelligence per dollar and second.Google is shifting its AI stack toward Antigravity’s shared agent harness, while preserving harness diversity; the payoff is a cross-product feedback loop, but co-optimization could still raise switching costs and pricing power.

Vincent Weisser × Johannes Hagemann × Erik Torenberg × Nathan Labenz

Prime Intellect is building an asset-light marketplace across fragmented clouds and data centers, while Intellect-1 demonstrated 10-billion-parameter distributed training using DiLoCo and 8-bit updates to cut communication roughly 400x.R1-style reinforcement learning could improve decentralized scaling by shifting compute toward inference-heavy rollouts, but efficient participation beyond about 16 workers, fault tolerance, safety, governance, and the planned tokenized foundation remain unresolved.

Nathan Labenz × Aaron Levie

Enterprise AI enthusiasm is outpacing production deployment, shifting IT from software enablement toward provisioning digital labor while Box uses curated Hubs and permissions to improve retrieval across authoritative corporate content.The commercial prize is a system of intelligence linking probabilistic judgment with structured workflows, but six-month approvals, privacy, workforce transition, and demands for 99.99999% reliability favor products delivering order-of-magnitude gains over thin incumbent layers.