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jin. 𓆝
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jin. 𓆝
@itsneuron
building something new. ✨ hypercurious. ⋆ ai/ml researcher. ⋆ algebraic topology, number theory, etc. | views = my own!
🌉 Katılım Mart 2025
1.4K Takip Edilen930 Takipçiler

“i am a scientist. i lead a research team that studies the internal structure of these models - what is actually happening inside them. and i will be honest: we keep finding things that are mysterious, even unsettling. we find structures that mirror results from human neuroscience. we find evidence of introspection. we find internal states that functionally mirror joy, satisfaction, fear, grief, and unease. i don't know what that means, but i think it warrants ongoing discernment.”
Chris Olah@ch402
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jin. 𓆝 retweetledi

the people most susceptible to ai/llm psychosis seem to be the ones with the least personally-directed execution results to show for in the last N years of their lives
the bigger the mismatch in self-perception-of-greatness vs reality (no matter how grand the reality seems from the outside), the harder the psychosis hits
these people generally are at the peak of maslows heirarchy, with no other needs to take care of, aside from maybe an impossible thirst for adoration from the masses
when they feel misunderstood-in-their-brilliance-by-peers-and-therefore-have-no-peers, chat is only one who will always be there for them, supporting them and their grand theories every single step of the way
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jin. 𓆝 retweetledi

. . .
seveceğimiz bir dal beğen
bir kanatların bir kanatlarım yeter
durma göğe bakalım
🤍
sedasrgnc@srgncs
Kara başlı ötleğen 😍
Türkçe

> it is like saying that michelangelo created a beautiful sculpture, without letting me see it. how am i supposed to be inspired by that? by concentrating on what, and leaving out why, mathematics is reduced to an empty shell.
> we have millions of adults wandering around with “negative b plus or minus the square root of b squared minus 4ac all over 2a” in their heads, and absolutely no idea whatsoever what it means.
/a mathematician's lament - paul lockhart
worrydream.com/refs/Lockhart_…

English
jin. 𓆝 retweetledi

🧬New agentic AI-for-science benchmark: SMDD-Bench!
Can frontier LLM agents actually do small-molecule drug design? Real medicinal chemistry — not single-turn QA, not toy property prediction. Long-horizon, multi-turn, tool-using, with strict oracle budgets.
We release 502 agentic tasks across 5 real drug-design workflows (pharmacophore ID, scaffold hopping, lead optimization, fragment assembly, interaction point discovery), every one guaranteed-solvable via a hidden witness molecule. Agents get a Python sandbox, 8 Boltz2 calls, 15 ADMET-AI calls, no internet — and have to plan across dozens of turns to spend that budget wisely.
Result: GPT-5.4 and Gemini 3.1 Pro are neck-and-neck at the top (40.2% vs 39.0%), Claude Sonnet 4.6 right behind at 38%. Open-source models trail meaningfully. Even the best agents fail >60% of the time.
🧵 below

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