PERSON DIRECTORY
Emad Mostaque
Emad Mostaque appears in 25 indexed conversations across Moonshots, The Cognitive Revolution. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
OpenAI Pauses Frontier Training, Elon's 100X Prediction Lands, Robot Beats Usain Bolt | EP#282
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
OpenAI’s RL pause drew safety-versus-marketing disagreement, while recursive self-improvement may command more revenue per token than enterprise codegen, keeping frontier models internal.Memory prices rose 500% in 12 months as AI demand grows 200% versus 20% supply; Unitree hit 12.66 m/s and Zipline targets over 1 million daily deliveries, while etched-weight supply chains, regulation and Uber’s aggregator position remain risks.
Bernie Demands the Labs Stop, Wall Street Turns GPUs Into Bonds, Grok 4.7 Takes #1 ft. Emad Mostaque
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
NVIDIA is moving from chip vendor to financing architect, partnering with Apollo, BlackRock, Blackstone, Brookfield and KKR to mobilize over $500B for customer compute.The scalable AI-factory model faces stranded-asset risk from unpredictable depreciation, while xAI’s Grok 4.6 uses Cursor reasoning traces and NVIDIA GPUs, with Emad Mostaque saying Grok 4.7 could reach #1 within weeks.
Google’s Jeff Dean Exits, SpaceX Hits $100B in Rev & OpenAI’s Astra Solves Decade-Old Math Problems
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
SpaceX guided to $100B+ annual recurring revenue by December and moved its $1T target to 2030, with “a nonzero chance” of 2029.Terafab’s initial $16.8B investment and confirmed free-electron laser could onshore the semiconductor stack and challenge ASML.Astra’s 249-page math manuscript, produced for an estimated $2,000 compute, sharpens the capability-cost race.
Anthropic vs. Alibaba, OpenAI Delays Its IPO, and the US Government Blocks GPT-5.6 | #267
Peter DiamandisEmad MostaqueDave BlundinAlexander Wissner-Gross
Washington is placing frontier-model releases inside a customer-by-customer approval loop, reportedly limiting Anthropic’s Mythos 5 to 100 companies and OpenAI’s GPT-5.6 variants to 20 amid cybersecurity and recursive self-improvement concerns.Harnesses can lift older or open models above restricted systems—GLM 5.2 reportedly topped Frontier SWE after orchestration—making prompt logging, licensing, trusted-model certification, and geopolitical AI blocs more likely than controls focused only on weights.
China's Rise, GPT-5.2, Anthropic IPO & the Battle for AI Trust w/ Emad, Salim, Dave & AWG | EP #214
Peter DiamandisEmad MostaqueSalim IsmailDave BlundinAlexander Wissner-Gross
Google’s Titans and MIRAS use surprise-based memory, potentially easing transformer context costs beyond 2 million tokens while visual chain-of-thought adds 3% to 6% reasoning gains.Chinese-affiliated first authors rose from 9% to 30% at ICLR as the U.S. share fell from 52% to 36%, making open weights a distribution and integration advantage.Weekly leapfrogging, falling token prices and rising agent consumption intensify compute needs, while Anthropic’s possible 2026 IPO and trust—not benchmarks alone—could shape capital and adoption.
The Latest in AI: Job Loss, Elon & Sam Altman Chip Race & the "AI Bubble" w/ Brian (Blitzy) & Emad
Peter DiamandisBrian ElliottEmad MostaqueDave Blundin
Compute, power, and construction—not model demand—are becoming binding constraints as OpenAI’s 10-gigawatt plan represents roughly 4–5 million GPUs.Alphabet’s distribution, DeepMind talent, cash, and TPUs make it the strongest incumbent contender, while labor displacement, higher education, and tokenized assets remain major watchpoints.
DeepSeek vs. Open AI - The State of AI w/ Emad Mostaque & Salim Ismail | EP #146
Emad MostaqueSalim IsmailPeter Diamandis
DeepSeek’s visible reasoning, open availability, benchmark parity, and radically lower prices turned efficiency into a market shock, with roughly $6 million for V3’s disclosed run versus an estimated $3 billion OpenAI spent training models the prior year.Cheaper intelligence could expand NVIDIA demand and automate remote knowledge work, but the larger unresolved stakes are AGI safety, labor’s access to capital, and whether Universal Basic AI can distribute trusted data, models, and agency.






