@kchonyc
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some absolutely not-plagiarised text snippets in my dissertations:
* "it would not have been possible for me to survive long, freezing, snowy winter of Finland without songs from four girls of 2NE1 (especially, the leader CL)."View quoted post on X
ortet.ai Ortet Ortet is a frontier AI lab for health, creating continuously improving intelligence for every patient. It doesn’t really matter what AI makes if there isn’t a proper system to put novel medicines into use, argued Kyunghyun Cho, CEO of Ortet, during Endpoints’ AI Day in New York City. “AI can engineer molecules, but it cannot engineer medicine,” he said. Hear the rest of his on-stage “hot take”: youtu.be/IYW8nWZXvqA?si…View quoted post on X
@kchonyc @GoogleDeepMind @AIatMeta @thinkymachines @alexandr_wang please let us evaluate muse wonder! (our account was flagged for a content policy violation during evaluation)View quoted post on X
also muse spark open is fire
We’re releasing Ortet’s first health evaluation results: 34 open-weight models, 50 tasks, and 15 public benchmarks served and evaluated on Orion, our NVIDIA Blackwell GPU cluster.View quoted post on X
A few findings:
- General rankings are not enough for health.
- Open models are competitive on basic medical knowledge and are more willing research collaborators.
- Both open and closed models struggle on the patient-prediction tasks we tested.
- More reasoning usually helps, but the highest setting doesn’t always produce the best observed score.
- Health rankings can be estimated with a small subset of questions.
This is the first step towards our goal—to build continuously improving intelligence across the clinical, biological, and operational aspects of health.
Read the blogpost: ortet.ai/blog/open-mode…
More on the findings below 🧵
