The reading room
Dave Blundin’s challenge to entrepreneurs is to imagine directing 100,000 capable AI workers. What would they actually ask them to do? On Moonshots, his thought experiment connects Peter Diamandis’s experience defining XPRIZE challenges with Salim Ismail’s reminder that an invention still needs engineering before it becomes useful.
RoboCurve reports that GPT-6 Astra placed a block in a bowl in 19 of 20 trials, up from 8 of 20 for its predecessor. But it completed only two puzzle insertions—the same as the older model—in a 120-trial evaluation that separates basic manipulation gains from reliable precision.
An Anthropic Institute working paper models an extreme scenario in which annual real GDP growth reaches 15% by 2030 while 17.9% of cognitive workers are unemployed. On Moonshots, Emad Mostaque questioned whether demand could survive the disruption. The disagreement turns on how workers find new income—and who owns the machines.
A controlled comparison of 2019–2025 datasets and training recipes reported compute-efficiency gains of 12-fold from data improvements versus 3.7-fold from model recipes. The Moonshots panel explored the business opportunity—and used BloombergGPT’s reportedly short-lived advantage to question whether owning unique data is enough.
Google DeepMind’s AlphaGenome Atlas, announced on 8 September 2026, makes predicted molecular effects for roughly nine billion single-letter DNA changes available for researchers to look up. The Moonshots panel sees an opportunity to widen access and help patient groups organize research—but the path from a prediction to a treatment still runs through outcome data and experiments.
Insilico Medicine has announced first dosing in a 52-week Phase 3 trial of rentosertib for idiopathic pulmonary fibrosis. A separate analysis of 42 earlier-trial participants found younger-looking blood-protein profiles, prompting a Moonshots debate about longevity—but not establishing rejuvenation or longer life.
DeepSeek says V4.1-Flash cuts the high-bandwidth memory needed for its cache to a quarter of its predecessor’s requirement. The Moonshots panel sees an opening for companies to build on efficient open-weight models—but a smaller cache is not the same as a small model.
OpenAI says roughly 10,000 coordinating agents produced a proposed proof of breakdown in a forced three-dimensional fluid flow, with humans consolidating the work and Lean checking the formal argument. On Moonshots, Sam Altman’s call to pace progress divided the panel: was this an anticipated scientific capability, or a surprise about how quickly and cheaply it could be reached?
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