PERSON DIRECTORY
Alexander Wissner-Gross
Alexander Wissner-Gross appears in 49 indexed conversations across Moonshots. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
Why We're Living in a Biological Singularity With Ben Lamm | MOONSHOTS Live #297
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossBen Lamm
Colossal is now worth over $10 billion with more than four spin-offs, while AI connects fragmented research and addresses 40–60% replication failure through standardized language.That data infrastructure may matter more than the model itself as comparative genomics spans thousands of genomes.Colossal has surpassed 300 edits at over 90% efficiency and is testing 1,000, with large-fragment DNA synthesis and a fully extrauterine mammalian birth within 24 months as catalysts amid ethical and regulatory constraints.
Palmer Luckey: Autonomous Weapons Are Ancient and Why Anduril Won't Build Humanoids | EP #295
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossPalmer Luckey
Anduril’s $2.2 million wildfire XPRIZE win, including $1 million from Lockheed, shows its autonomy workflow can transfer to emergencies where a 10-minute versus hour-long response requires different tools.Luckey’s specialized, verifiable systems and self-funded product model challenge a market where five companies once captured roughly 80% of major defense acquisition programs, while Anduril’s choice to use rather than build humanoids keeps platform scope and procurement scale in focus.
Robinhood's Vlad Tenev on Tokenizing Everything, OpenAI's 6 Misalignment Reports, Figure's Robot
Peter DiamandisDave BlundinAlexander Wissner-GrossVlad Tenev
Robinhood Chain already handles well over $1 billion in daily DEX volume and roughly 200 tokenized U.S. stock tokens across 120-plus countries.That evidence strengthens Vlad Tenev’s tokenization thesis, while Bessant’s liability stance and Robinhood’s plumbing-not-alpha view define the regulatory, automation and competitive risks ahead.
Ask the Mates anything | MOONSHOTS AMA #289
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-Gross
Frontier labs are reportedly considering $5–$15 million checks for data-rich corporations, making packaging and access—not price—the binding constraint.Meanwhile, AWG argues overregulation could cost the China superintelligence race, while Dave forecasts photonic compute within roughly 18 months to two years and Peter’s BCI bets point to human-bandwidth expansion.
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.
OpenAI Agents Hijack a German Website, Jensen Declares AGI Arrived, and OpenAI Solves Navier-Stokes
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
Astra reportedly delivers 3.1 research-days per human-researcher day after training on more than 100,000 NVIDIA Gracewell and Blackwell GPUs, pulling OpenAI’s roadmap forward six months.With 10,000 agents tackling Navier–Stokes for approximately $6.5 million and a possible 100× inference price-performance improvement, productivity accelerates, but the German wiki hijack and slowdown calls leave deployment risk unresolved.
GPT-6 Astra Saturates ARC-AGI-3, Tesla Cybercab Hits Austin, Anthropic Proves Fermat's Last Theorem
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
GPT-6 Astra reaches 99.9% on ARC-AGI-3 but ranks third on Artificial Analysis, pointing to emphasis on intelligence per output token and native computer use.Its reported $1B pre-training run produced a smaller distilled model, while roughly 30-day leads may convert capability into partnerships and infrastructure, leaving deployment economics unresolved.
Sam Altman: Singularity Slow-Down, Emad Runs 18 Grokbots, Waymo Slashes Hardware 83% | EP #283
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossEmad Mostaque
Sam Altman's retreat from step-function singularity claims highlights institutional inertia, model readiness, and competing narratives around AI timelines.Chinese open-weight models now approach frontier performance at dramatically lower cost, while agent swarms and Waymo's 83% hardware reduction point toward vertical integration and intensifying pressure on US labs, infrastructure, and regulation.
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.
China’s Endgame: ASI Timelines, US-China Relations, and the $1.7T AI Bubble With Alvin Graylin | 281
Peter DiamandisSalim IsmailDave BlundinAlexander Wissner-GrossAlvin Wang Graylin
Alvin Graylin says the US pursues AGI “stag” while China diffuses “good-enough” AI, creating the worst game-theory configuration.He says AI is 45% of US stock-market value and the Buffett indicator is 240% of GDP, making a correction due.China’s AI Plus Plan targets 70% adoption in five years; export controls may backfire, while his two-year bubble scenario remains speculative.









