2026-10-11 16:37 UTC

ai-for-science

band: warmmomentum: stable score: 0.392
temperature history

Episodes (7)

Further reporting and personnel moves will confirm whether Google DeepMind has dispersed the original AlphaFold team as part of a strategic shift toward Gemini, coding agents, and commercially oriented scientific AI.
expirednovelscott: low
Independent technical evidence will determine whether Discovered Materials’ AI-agent workflow can identify experimentally credible materials for semiconductor thermal-management applications.
expiredknownscott: low
Anthropic physicists Liam Fitzpatrick and Siddharth Mishra-Sharma claim Fable 5.1, driven through the Claude Science harness with only periodic 'keep going' prompts, computed the nine-loop six-particle (hexagon) amplitude in planar N=4 super Yang-Mills β€” an outstanding problem in scattering amplitudes β€” for roughly $1–2k of near-unattended inference, with the result verified by expert Lance; acceptance of the amplitude into the field and replication of the approach would establish frontier agent harnesses as demonstrated solvers of computational-physics barriers experts considered out of reach on academic budgets.
corroboratedconvergesscott: high
Stanford and Arc Institute researchers claim generative DNA sequence models designed hundreds of novel bacteriophage genomes of which 302 were synthesized and 16 proved functional in wet-lab tests, and expert scrutiny or replication would establish generative DNA models as designers of viable novel organisms with direct biosecurity implications.
seedconvergesscott: high
Gamow Labs claims its released LabBench β€” 20 held-out wet-lab decision tasks built from real drug-discovery and genomics records β€” shows five frontier agents pass only ~40% of decision criteria, fail every criterion on which experiment should come first, and recover on failed decisions only when a one-sentence attention redirect is appended, and adoption by AI-for-science evaluators would establish it as the reference benchmark for whether agents can decide the next wet-lab experiment.
seedconvergesscott: medium
Google DeepMind claims AI-designed enzymes built from scratch achieved practical catalysis β€” one producing a medicinal building block 99x more selectively than the competing product and another degrading plastic at 90Β°C where natural enzymes failed β€” and expert validation or adoption in real chemistry workflows, versus a press-release fade, decides whether de novo enzyme design is a demonstrated AI-for-science capability.
watchingconvergesscott: medium
Vals AI's researcher claims Opus 5.5-driven agents designed a new Luttinger-compensated magnet (YBaMnFeOβ‚…) and identified KV[Cr(CN)₆] β€” first synthesized in 1999 β€” as a room-temperature Luttinger-compensated semiconductor with all computations published for rechecking; independent resynthesis of KV[Cr(CN)₆] and direct measurement of its spin sorting would establish agent-driven search as a demonstrated producer of novel magnetic materials, while failed measurement or debunking closes it.
watchingconvergesscott: low

Trajectory notes