PSI released an AI-assisted proof of the Aaronson–Ambainis conjecture and public Lean code. It says a complete proof emerged on day three. Humans built the system and reviewed the work; computing costs remain undisclosed.
A Transluce and UC Berkeley study turns isolated training surprises into a large experimental collection. Some deliberately constructed datasets look routine but change behavior outside their apparent subject, and researchers struggle to predict the effects by reading them.
In MAMUBench's simulated group orders and bookings, personal-agent teams trailed a single coordinator. Blocking checkout until messages were read rescued more failed runs than appointing a leader.
BypassGym puts AI-written programs on Windows virtual machines running real security products. Several lightweight models succeeded, but a passing test does not mean the security software raised no alarm.
WikiTrace links an AI’s condensed lessons back to the actions and feedback that produced them, giving the agent a way to question its memories before acting.
In a research guessing game, weaker models could select useful questions supplied by other models but struggled to invent them. More turns alone did not solve the problem.
Stanford and Genesis Molecular AI tested a difficult drug-discovery judgment: choosing the more realistic of two molecular poses. A hybrid system using AI-written features outperformed the observed expert results.
In simulation, an AI-controlled arm followed a bogus instruction displayed in its surroundings. Researchers tested staged safety checks across simulated and physical robot tasks.
Google released Gemini 4 Hydrogen, the fast, low-cost member of its Gemini 4 family, on Nov. 12 at 1:00 p.m. EST and is rolling it out to all Google Search users worldwide and in the Gemini app. Google says it edges out its pricier Argon model on a third-party intelligence index, runs 2.5x faster than Gemini 3.8 Flash and cuts fabricated claims more than fivefold, though its own model card shows it still trails a rival on some coding and computer-use tests.
Users report that Anthropic's Claude has started refusing to help build Pokémon fan games and assets, even when the sprites are already on the user's own computer. Japanese outlet AUTOMATON says it extends a late-October Claude Code rule against recreating specific existing games, and that the rule text now spells out names, characters, art, music, levels and appearance. Anthropic has not publicly commented on the Pokémon refusals.