A social media post by Ethan Mollick (@emollick) describes amusing local folkways in his home city where complex civic rituals, involving offerings to a statue, are believed to curse or bless individuals. He notes that outsiders do not understand these practices or their purported powers. The author explicitly states the content is unrelated to AI, making it irrelevant to technology or research topics typically covered by infogap.
Cohere's official X account retweeted a post by @jpineau1 (Joelle Pineau, VP of AI Research at Meta). The original post contained only a t.co shortened link with no additional context. The destination and content of the link are unknown.
MedARC has launched a new research competition challenging participants to train the best pathology foundation model within a time limit of just one hour. The competition has already been running for several weeks in the MedARC community, with significant progress reported. Interested researchers can find participation details in the linked thread. The initiative aims to push efficient model training in medical AI.
SophontAI has announced support for a new open-source research competition hosted by MedARC_AI. The announcement describes the competition as highly impactful, but the raw content is truncated and provides no further specifics about the competition's focus, dates, or prizes.
MedARC_AI has announced its first research competition, called NANOPATH. The competition is described as a framework and challenge for training, but the post was truncated before further details could be revealed.
Ethan Mollick pushes back against a headline suggesting AI 'did not live up to the task' when a study found it solved 7 out of 10 novel very hard math problems. He notes that 15 months ago LLMs could not do math at all, so this represents substantial improvement. The study itself illuminates both the flaws and successes of AI in mathematical reasoning. The tweet highlights the danger of misinterpreting AI benchmark results when progress is rapid. Mollick frames the result as impressive rather than a failure.