A study by New York University and the University of Texas at Austin finds that frontier language models overuse linguistic patterns that people struggle to parse. The authors link this to training on code and math, which rewards correctness over clarity; smaller models write in a more human way.
IEEE has launched the IEEE Xplore AI Research Suite, which draws on the full text of millions of peer-reviewed publications to answer researchers' questions with grounded results. It is offered as an optional upgrade for institutional subscribers.
After saying in July that it had found structures resembling human consciousness in its models, Anthropic is campaigning for the "consciousness" and "welfare" of these systems. Le Monde reports that some experts fear where this could lead.
Google has added a new episode to its AI Quests series, this one centred on mapping the human brain.
To make answers more personal, generative AI companies have given their chatbots "memories". Researchers describe the result as algorithmic self-portraits of users, packed with information, including psychological details, that counts as personal data.
This issue of Jack Clark's Import AI newsletter covers mathematics applied to alignment, the ProgramBench benchmark and what the Mirendil work suggests about recursive self-improvement.