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Over 85% of oncologists at Memorial Sloan Kettering Cancer Center use OpenEvidence.
Together, @MSKCancerCenter and OpenEvidence have built OncoKB, MSK’s expert interpretation of a tumor’s genetics, directly into OpenEvidence, putting it in the hands of oncologists across the United States.
As Dr. Anaeze Offodile puts it: “Our mission is to end cancer for life.” As of today, we are widening OncoKB’s reach so that patients everywhere benefit from the same rigor as patients at MSK. Watch the story.View quoted post on X
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we hadView quoted post on X
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com
