13 September 2026
Heard In AI

Source podcast

Moonshots with Peter Diamandis

Technology, science and ambitious ideas about the future.

Astra’s robot-arm gains stop short of precision

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.

3 min read

Who buys the output when AI replaces the paycheck?

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.

6 min read

Better data beat model recipes in a small-scale training test

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.

5 min read

AlphaGenome Atlas gives researchers nine billion starting points

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.

5 min read

OpenAI’s proposed Navier–Stokes proof fuels a debate over slowing AI

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?

6 min read