Steven Edgar

512 posts

Steven Edgar

Steven Edgar

@BioSteve

Specialization is for insects.

San Francisco, CA Katılım Şubat 2017
2.2K Takip Edilen407 Takipçiler
Steven Edgar retweetledi
Sam Altman
Sam Altman@sama·
if this tweet gets 1 like, tibo will reset codex rate limits
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Steven Edgar
Steven Edgar@BioSteve·
@oliigarch Would love to connect; I've been building here for myself for a while (though scoped to single domains).
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Olivier Szczepaniak
Olivier Szczepaniak@oliigarch·
If you are graph pilled, want to map all of human knowledge, and maybe solve science hmu
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Olivier Szczepaniak
Olivier Szczepaniak@oliigarch·
The web was markdown with links. Googles graph was the $2 trillion dollar insight… science and education is next. We need structured claims not better summaries.
Andrej Karpathy@karpathy

Wow, this tweet went very viral! I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs. So here's the idea in a gist format: gist.github.com/karpathy/442a6… You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.

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Steven Edgar retweetledi
0xSero
0xSero@0xSero·
People are not lying when they say Qwen3.5-27B is incredibly capable. 1. Bubble size = total params - World Knowledge, Languages, Skills 2. X axis = active params - Raw Intelligence per token 3. Y axis = tokens/s - Speed of prefill and generation (decode) GLM-5 | 744B params | 40B active Kimi-K2.5 | 1T params | 32B active Qwen3.5-27B | 27B active params Qwen3.5-Plus | 397B params | 17B active MiniMax-M2.7 | 229B params | 10B active MoEs can store much more world knowledge, and breadth of information. For a Mixture-of-Expert, you can stack it up to 1T params, so you can give it 20 Trillion tokens or more of training data, it learns more. But during runtime, only a small portion of that gets activated. Taking MiniMax-M2.5 as an example: Only 10B are active at a time, so while you use it you get the speed and closer intelligence to nemotron-8B it's just MiniMax-M2.5 can know much more, and thus perform better.
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Math, Inc.
Math, Inc.@mathematics_inc·
We are pleased to share that using Gauss, we have completed a ~200K LOC formalization of Maryna Viazovska’s 2022 Fields Medal theorems on optimal sphere packing in dimensions 8 and 24. This is the only Fields Medal-winning result from this century to be completely formalized, and is the largest single-purpose Lean formalization in history. We are honored to have assisted @SidharthHarihar1 and the rest of the sphere packing team in this achievement. math.inc/sphere-packing
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The White House
The White House@WhiteHouse·
"Based on the tremendous interest shown, I will be directing the Secretary of War, and other relevant Departments and Agencies, to begin the process of identifying and releasing Government files related to alien and extraterrestrial life, unidentified aerial phenomena (UAP), and unidentified flying objects (UFOs)..." - President Donald J. Trump
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arya
arya@AJakkli·
What happens when you leave two copies of the same model talking to each other? They have different attractor states: Grok devolves into gibberish while GPT-5.2 starts writing code and editing imaginary spreadsheets A short post with fun transcripts and qualitative experiments
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Ethan Mollick
Ethan Mollick@emollick·
This might be the first hot take on how technology tells us how to live our lives, destroying our ability to make human decisions. The technology in question is the sundial. From a 3rd century BCE Roman adaptation of a Greek play, as discussed in Kerr’s “The Ordered Day”
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Jeffrey West
Jeffrey West@mathoncbro·
Fascinating (& terrifying) article published in Science, on AI-assisted writing of scientific manuscripts. Authors find evidence of: 1) accelerated research output due to LLMs 2) especially true of non-native English speakers 3) a complete reversal in correlation between writing complexity and publishability (!) science.org/doi/abs/10.112…
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Matt McGill
Matt McGill@MattMcGill_·
One nice thing you can do with an interactive world model, look down and see your footwear ... and if the model understands what puddles are. Genie 3 creation.
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Parker Ross
Parker Ross@Econ_Parker·
That brings me to my favorite metric from the establishment survey: the private job growth diffusion index, which reflects the breadth of job gains across industries. The 3m index dropped below the 50 expansion / contraction threshold back in May and remained at 46.8 in July, down from 60.8 back in Jan '25.
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Frances Lorenz
Frances Lorenz@frances__lorenz·
Remember when AI researchers used to be like, "this is a neural network, isn't it cool? It can say DOG or CAT if you show it a DOG or a CAT :)" and now they're like, "we're gonna make God before China does" okay
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