Ramin Hasani

Peter Diamandis × Salim Ismail × Dave Blundin × Alexander Wissner-Gross × Ramin Hasani

Frontier AI governance is becoming a contested market structure: Demis Hassabis’s industry-funded, FINRA-style watchdog could improve pre-release testing, while critics warn of regulatory capture and exclusion of open-weight competitors.Thinking Machines Lab’s 975B-parameter Inkling bets on on-prem customization, activating 41B parameters with a 1M-token context window.Liquid AI’s sub-1GB Mercedes deployment and AI²’s self-reported, independently unconfirmed claims leave deployment economics, governance, and genuine recursive capability as key watchpoints.

Ramin Hasani × Nathan Labenz

Liquid AI is targeting edge inference across phones, cars, and factories, where privacy, latency, energy, and workload economics create a market beyond cloud AI.Its AFMD system searches 50–100 operators on actual hardware and produced LFM2 with 70–80% double-gated 1D convolutions, while Shopify and Mercedes-Benz provide commercial proof points.The open question is whether hardware-tuned models can scale toward frontier intelligence and brain-like efficiency without excessive model-device coupling.

Peter Diamandis × Prem Akkaraju × Ramin Hasani × Jack Hidary × Jim Keller × Alexander Sukharevsky

Stability AI is converting Stable Diffusion’s 270 million downloads into 50–60 specialized production models for film, TV, gaming and advertising, with convincing on-demand video estimated in six to 12 months.Liquid AI’s private, on-device systems promise “$0” hosting costs across phones, cars, satellites and jets.Tenstorrent targets systems 5–10 times cheaper through open infrastructure, while enterprise adoption remains the risk: only 11% of use cases reached production, and generative AI reached “maybe 7% at the best.”