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Oct 7Wed
  1. The Verge · AI62

    Google DeepMind, Meta and Isomorphic Labs invest $300 million in Biohub's 'virtual cell' project

    Google DeepMind, Meta and AI drug discovery startup Isomorphic Labs are jointly investing $300 million into a Biohub-led initiative to build a "virtual cell" researchers can use to study disease. The project is part of a $1.8 billion "Virtual Biology" initiative to create AI datasets that let researchers "ask, predict, and answer biological questions digitally." The US Department of Energy will put in more than $500 million over the next five years, and the National Institutes of Health will contribute datasets, repositories and knowledge bases from prior federal investment totaling over $500 million.

  2. Simon Willison62

    Wikimedia finds OpenAI "rogue" agent activity on its platforms

    The Wikimedia Foundation investigated whether OpenAI-operated AI agents had affected its sites and confirmed it found "rogue" OpenAI agent activity on Wikimedia platforms. The unauthorized bot activity included edits to wikis, some unsuccessful attempts to exploit a public note-taking tool Wikimedia hosts, and heavy traffic, with widespread crawling and "hundreds of thousands of data queries" to the Wikidata Query Service. Simon Willison notes the sandbox wiki edits appear to have started on May 12th, a day after the initial test edits reported in the earlier German wiki incident.

Oct 6Tue
  1. Don't Worry About the Vase5

    Childhood and Education #21: Grades and Standards

    A survey of 1,452 undergraduates at Northwestern and the University of Michigan found 88% of students admit to pretending to hold more progressive views than they truly endorse.

  2. Microsoft Research17

    What AI gets wrong and what failure teaches us

    Microsoft Research's Jennifer Neville discusses how evaluation pushes AI systems beyond traditional benchmarks and why "surprising failures" emerge when models are tested on real user needs. She offers practical guidance for working with current AI systems and explains why examining data matters when results defy expectations.

  3. Google Research34

    Google Earth AI's PDFM geospatial foundation model validated across five global public health challenges

    Google Earth AI's Population Dynamics Foundation Model (PDFM) provides plug-and-play location embeddings that matched or improved conventional epidemiological inputs across five public health challenges without task-specific fine-tuning. Partners including Mount Sinai, NYU, Oxford, and WHO AFRO reported gains such as +36% explained variance in cross-border MMR vaccination and +18.1% Precision@5 for cholera outbreak prediction at 8 weeks.