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.
Three Lab Warnings in Five Days, Researcher Flags “Gambling with Our Lives,” and Labs Race
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
AI progress is becoming a measurable cost collapse: Astra beat o3’s ARC-AGI-1 result for $20 versus $500,000, while OpenAI claimed a 10,000-agent Navier–Stokes breakthrough.Data delivered 12× compute-efficiency gains versus 3.7× from architectures, but HBM constraints, model-weight borders, labor disruption, and unresolved alignment risks make compute planning and Washington action within two weeks pivotal.
Urgent Update- AI Sputnik Moment: Kimi K3 Released w/ Emad Mostaque | Ep. 272
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
Kimi K3 puts a 2.8-trillion-parameter Chinese open-weight model on the frontier, ranking first in frontend coding and six other domains while reaching the third point on Artificial Analysis’s cost-performance frontier.Its recognizable transformer architecture, constrained-chip optimization, and expected July 27 weight release could pressure closed-model margins and valuations, while enterprise value shifts toward proprietary data, verification, support, and model-swapping infrastructure.
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.