Bristol Myers Squibb is adding a second DGX SuperPOD built on eight DGX Vera Rubin NVL72 systems. The move turns AI infrastructure from a specialist resource into a shared platform for researchers across the company’s global drug-discovery pipeline.
Frontier AI is becoming both a biosecurity risk surface and a defense tool. Google DeepMind and Isomorphic Labs say they advanced more than 15 partnerships over the past 12 months.
The discussion split between scientific utility and obvious misuse concerns. NEvo uses a digital twin of the visual brain as a reward model, then evolves AI-generated clips to maximize predicted activation in target regions.
Google Research trained SensorFM on more than one trillion minutes of consented wearable data from five million people. The model beat feature-engineered baselines on 34 of 35 health prediction tasks, pointing to a more general route for wearable health AI.
Anthropic is not only selling Claude Science as a research workbench. It says it wants to discover treatments for neglected diseases, raising a harder question: can a frontier AI lab become both a pharma software vendor and a drug developer?
The deal is worth up to about $600M, with roughly $60M in initiation fees, near-term payments, and milestones. Insilico will use Pharma.AI for early discovery while Takeda takes selected candidates into clinical validation and global development.
Anthropic is moving AI-for-science support from chat into reproducible work sessions. Claude Science combines 60-plus scientific skills and connectors, reviewer agents, HPC or SSH workflows, and up to $30,000 in credits for as many as 50 projects.
Biology agents are being judged on research judgment, not just factual answers. GeneBench-Pro puts 129 computational-biology problems in front of agents, and indexed coverage says GPT-5.6 Sol reaches 28.7% at the highest reasoning level and 31.5% in Pro mode.
Meta’s Brain2Qwerty v2 raises non-invasive sentence decoding to 61% word accuracy, with the best participant reaching 78%. The project used about 22,000 MEG-recorded typing sentences from nine volunteers and ships with training code plus a public v1 dataset.
Microsoft Research, UC Berkeley, UCSF, and Columbia researchers introduced generative causal testing. The method converts black-box language-brain prediction models into short hypotheses, then tests them by having an LLM write stories meant to activate targeted cortical regions.
The HN thread cared less about a brand extension and more about whether AI-assisted ultrasound can change the cost and access curve for medical imaging.
OpenAI says GPT-5.5 Instant has pushed health responses close to its frontier Thinking models while reaching free ChatGPT users. The bigger signal is production data: flagged factuality issues in health answers fell 71% over two months.