AI beats two ER docs in Harvard study; Intel + AMD ship joint x86 AI spec

A peer-reviewed paper in Science pitted OpenAI's o1 reasoning model against two attending physicians on 76 emergency-room triage cases. The model landed on the exact or near-exact diagnosis in 67 percent of cases, versus 55 percent and 50 percent for the two doctors; on a wider 143-case cohort the correct answer sat inside o1's differential 78 percent of the time. The authors caution the inputs were text-only EHR snippets and call for prospective real-world trials before any clinical deployment.

The x86 Ecosystem Advisory Group has published the AI Compute Extensions whitepaper, jointly authored by AMD and Intel engineers. ACE adds two-dimensional tile registers and outer-product matrix-multiply instructions on top of AVX10, with a claimed 16-times compute-density improvement on matrix workloads. Unlike Intel's Xeon-only AMX, ACE targets both client and server silicon, and software enablement is already in flight for PyTorch, NumPy, and TensorFlow. Neither vendor has yet named which CPU generation will ship the new instructions.

Ben Thompson's earnings recap argues Wall Street's enthusiasm for Alphabet's quarter is a bet on AI monetization that is, in his framing, largely Anthropic's workload running on Google Cloud. Meta's core ad business looked stronger on the numbers, Thompson writes, but investors punished its ongoing AI capex with no comparable revenue line attached. The thesis implies Anthropic's compute spend is now visible enough to move a hyperscaler's earnings narrative on its own.

KC Green, the cartoonist behind the 2013 panel where a dog reassures himself amid flames, says he never licensed the image to Artisan — the AI BDR startup known for prior provocative billboard campaigns — which adapted the dog's line to read "my pipeline is on fire" on a New York subway ad. Green said he is consulting legal representation; Artisan responded publicly that it has "a lot of respect" for his work and is reaching out directly. The episode lands amid mounting copyright friction around AI vendors using viral artwork in their own marketing.