Salim Ismail

Peter Diamandis × Salim Ismail × Dave Blundin × Alexander Wissner-Gross × Jared Isaacman

Jared Isaacman’s NASA reset centers on modular programs, reusable transport and a few near-impossible objectives, arguing that $25 billion annually can fund more progress through sharper capital allocation.A 2028 lunar landing would begin with frequent low-cost robotic failures and learning, while nuclear propulsion, autonomous science and commercial orbital data centers could determine the timeline toward returnable Mars missions.

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.

Peter Diamandis × Salim Ismail × Dave Blundin × Dr. Alexander Wissner-Gross

Anthropic’s enterprise-first strategy is driving 10X annual revenue growth versus OpenAI’s 3.4X, as companies consume reasoning tokens and agentic workflows at a pace consumers have resisted.The Pentagon dispute puts $200 million of government business against Anthropic’s refusal to permit unrestricted mass surveillance and autonomous weapons, showing frontier-model governance has become a procurement and national-security issue.India is emerging as an AI-neutral battleground, with $250 billion of announced commitments and Google’s $15 billion full-stack hub, while local inference may expand without decentralizing frontier-model training.

Peter Diamandis × Salim Ismail

Figure AI’s new factory can produce 12,000 humanoids annually and scale to 100,000, with demand for 100,000 today and volume pricing below $20,000.Shared learning turns each mastered task into fleet-wide capability, strengthening the case for humanoids as a physical deployment vector for AI.Copyright, safety coordination, medical reliability, and education policy remain unresolved as AI influence expands.