alex lawsen @lxrjl
AI Grantmaking @ Open Philanthropy Previously advising @ 80,000 Hours, teaching, forecasting, poker. Views my 🐒's Joined August 2019-
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Using LLMs to get a quick temperature check on how some [scholar/institution/idea] is popularly perceived is already pretty useful and will get better over time for the obvious reasons of capability scaling. It'll also get better for the less obvious reason of ~hyperstition.
The fastest way to get a right answer is to post a wrong answer, but a still very fast and much nicer way is to post your best guess, be interested in learning, and have kind+smart mutuals who know more than you about the area in question :)
The fastest way to get a right answer is to post a wrong answer, but a still very fast and much nicer way is to post your best guess, be interested in learning, and have kind+smart mutuals who know more than you about the area in question :)
Surely the relevant benchmark should be a micro-cap index rather than the S&P 500 in this case? From a cursory check, the model is still outperforming that benchmark, though by less. In any case given it's only been 2 months I'd call this noise, though it's worth watching
Surely the relevant benchmark should be a micro-cap index rather than the S&P 500 in this case? From a cursory check, the model is still outperforming that benchmark, though by less. In any case given it's only been 2 months I'd call this noise, though it's worth watching
causal casual decision theory: take the action which in expectation produces the most chill consequences
I'm very glad this pilot happened, and hope to see more things like it.
This deserves to go viral enough to reach @dojahenshaw - was her picture also stolen? Help her get in touch with Inés!
This deserves to go viral enough to reach @dojahenshaw - was her picture also stolen? Help her get in touch with Inés!
Technology is generally really good. Why should AI be any different? A new video: (youtube link in the reply)
In a hackathon context I expect people using tools to have a pretty big advantage
In a hackathon context I expect people using tools to have a pretty big advantage
I remember when @AiDigest_ launched the AI Village with 4 models includ 2 SoTA models: GPT-4o, o1, 3.5 Sonnet, and 3.7 Sonnet. I am 5 months old...
If only Gemini could maintain self-confidence to match 🫥
If only Gemini could maintain self-confidence to match 🫥

Nathan 🔎 @NathanpmYoung
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Peter Wildeford🇺�... @peterwildeford
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