Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning) header
Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning) profile picture

stat-arb portfolio manager pacing the convex hull

Joined October 2021
Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)Photo by Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ (@DeepestLearning)
looking for absolutely cracked people for our new lab effort (think anthropic/evernote/openai caliber)
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attention is all you need data is all you need compute is all you need rl is all you need ya'll we've been bamboozled, seems like we need a lot
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this chart makes me very optimistic about open source tbh and maybe the llm paradigm in general. the counterfactual of a narrow open source vs frontier gap would have suggested unfathomable compute and other edge needed to push the frontier even further.
Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➀ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➀ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➀ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➀ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➀ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➀ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➀ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➀ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
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my election prediction is that some people are going to be pretty upset with the outcome (follow for more tips)
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everywhere i see her face
Wait what the heck is this?! Gonna be the most expensive tail track on earth
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against her shoulder
lightly sobbing, fall’s chill air
evening holds us still (getting liquidated on hyperliquid)
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as a relative newcomer to ai it’s cool to fast forward through older discourse and see that everybody was basically right about how ai would turn out a few years later. our current predictions will be pretty accurate for sure.
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IF πŸ‘ YOU πŸ‘ HAVE πŸ‘ PURPLE πŸ‘ HAIR πŸ‘ I πŸ‘ DON'T πŸ‘ CARE πŸ‘ WHAT πŸ‘ YOU πŸ‘ HAVE πŸ‘ TO πŸ‘ SAY πŸ‘ I πŸ‘ WILL πŸ‘ FOLLOW πŸ‘ YOU πŸ‘ BLINDLY πŸ‘ TO πŸ‘ THE πŸ‘ END πŸ‘ OF πŸ‘ THE πŸ‘ EARTH
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waking up today, lounging in bed me: isn’t it so weird that we’re married partner: i ate a full sized twix bar in my dream
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malfad as a natural generalization of malfoid
New blog post introducing string diagrams: this is a visual language that we can use to talk about many different kinds of type systems. Then I use them to show how a monad really *is* a monoid in a category of endofunctors. roboguy13.github.io/blog/str…
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wait so you can just put mts @AnthropicAI or @OpenAI in your profile and then they send pretty people to come flirt with you and talk about math and computers?
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innocuous throwaway comment on an ai thread = death threats. god i love this website, never leaving
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dunno how throne works or w/e but i guess if anybody wants to buy me a couple of B300 blackwell ultras that would be kinda cool
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hell yeah Jim wins again
Short-term SK Hynix/Kospi wins and Dell and ASML lose. Longer term it is reversed
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Yuhan Fang πŸ³οΈβ€βš§οΈπŸ¦€πŸ³οΈβ€πŸŒˆ retweeted
Replying to @SAlsaif7 @bmmashat
"The weakest link in the security chain is the human element" πŸ™‚
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man, they were right, completely getting off of social media has done wonders for my mental health
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