Computer graphics, mathematics

Earth
Joined December 2017
munrocket retweeted
Ken Griffin, who runs Citadel, just admitted that the biggest advantage of giant funds, armies of people and billion-dollar budgets, is disappearing And for the first time in history, a small team with AI can move faster than a hedge fund He’s seen it in his own firm. His AI agent does in 2-3 hours what used to take Citadel’s PhD researchers 6-8 weeks A fund runs one cycle: come up with a strategy, turn it into code, test it on history, deploy it to the market Every step used to cost separate people and years of training. Now AI does the whole cycle You describe an idea in words, it writes the strategy itself, runs it on years of real data, and if it’s alive, deploys it straight to a broker But the speed isn’t the point. The point is what the retail trader doesn’t understand You take a strategy with a beautiful chart and you believe it. But a beautiful chart is no proof Run enough versions and a profitable curve will appear even on random numbers. One just got lucky, and you decided you found gold Funds don’t trust any curve until they test it on data the strategy has never seen. There the fit falls apart, and a real edge survives I ran two of the most-cited quant papers through this cycle Time Series Momentum on Bitcoin: +1,537%. Alive Betting Against Beta, a classic from every textbook: minus 7.78% a year while the market rose 14.86%. A corpse One still prints money, the other died long ago. And trading blind, you’d never know which is which until it took your deposit Griffin says the future belongs to small teams with AI. But the only ones who win are the ones who test before they bet How to plug your AI into real market data so it runs this exact test instead of guessing, in the article below
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站在今天看,俄罗斯这波操作,属于手握着一把天胡的牌打得稀烂。 如果不出兵乌克兰,今天全球AI的牌桌上,除了中美,大概率真得坐着一个俄罗斯。 搞AI、跑大模型,底层逻辑就是“吃电、散热、堆机器”。这两年全世界的数据中心老板都在为电费和机房降温发愁。俄罗斯属于老天爷喂到饭:西伯利亚开窗就是纯天然顶级空调;境内水电、核电、天然气很便宜,当年挖矿的都选西伯利亚。 另外俄罗斯人的数学和算法也强,各大国际编程竞赛,Kaggle机器学习竞赛常被俄国人屠榜。全世界除了中美,俄罗斯也搞出了自己完整的互联网生态:搜东西有Yandex,社交有VK,还有Telegram。现在在美股被炒上天的算力黑马Nebius,核心班底就是原先Yandex那帮俄罗斯人。 如果疫情后俄罗斯出地皮、出冷气、出便宜电,再拉着中国这种基建狂魔帮忙拉高压电网、建厂房、铺光纤,欧美资本开服务器工厂。俄国人完全可以成为欧亚大陆最大的“超级算力工厂”,中美神仙打架,它在中间两头收过路费。 结果呢?普京一拍大腿:不行,我得去抢那几块地。 普京的脑子,彻底停留在了19世纪沙皇俄国那种“开疆拓土”的旧梦里。什么有没有出海口啊,有没有所谓的军事缓冲带啊,就算抢方法也多的是,这可这是21世纪啊!现在的世界霸权争夺,抢的是半导体供应链,抢的是先进算法,抢的是高精尖人才。你去顿巴斯抢了几片烂泥地、几座废弃钢铁厂,代价却是把整个国家的未来都押了上去。 枪声一响,一切全崩了。稍微有点本事的程序员、算法工程师,连夜跑路。Yandex核心技术团队,宁可巨亏,惨烈的断尾求生、割裂母国,也要跑到欧洲重组成Nebius。普京把最懂未来的人,全逼成了难民和海外创业者。 在人工智能技术爆发的黎明前夜,全世界都在疯狂狂飙算力、抢占新工业革命的门票;而俄罗斯的老大,却带着几十万人,在泥潭里打着一百年前的一战式堑壕战。 再说一遍,普京不行,国内崇拜普京的那帮人也不行
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Bro just gave every entrepreneur a cybersecurity degree in one post.
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munrocket retweeted
Stanford built AI hedge fund with 6 agents and found one trick that makes it trade better - released 38-page PDF course the twist: they traded better when they refused to agree here's full research + guide, step by step: step 1 → Stanford gave 6 AI agents one job each: macro, value, risk, news and devil's advocate step 2 → all 6 study the same stocks and each one pitches its own portfolio step 3 → then they attack each other's picks, revise and a judge builds final portfolio step 4 → after 210 runs on 2021-2025 markets they found the problem: the agents kept caving to each other step 5 → making them reason smarter didn't fix it, returns barely moved step 6 → what worked: forcing every agent to keep its own view, and the fund traded better step 7 → your version: paste the prompt below into Claude Code, it builds the same fund on free data the result: AI hedge fund that argues before every trade, so you never bet on one AI's opinion Read this and built your own hedge fund using article below:
Finally... AI trading system that I trust with my money Built on Jane Street’s rules, the firm behind ~10% of US stocks 6 GrokBot + Opus 5.5 agents find, test and kill trades 24/7 while you sleep In this article, I show you how to build it:
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Testing out crab-based inverse kinematics with closed-chain-ik-js 🦀 #threejs #gamedev
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munrocket retweeted
Quantum-Ready Blockchains Compared, Part 2: Born Safe — QRL and the Cost of Going First 1/ Part 2 of Quantum-Ready Blockchains Compared: QRL, the only chain in the series that was quantum-safe from its first block (June 2018). What did going first cost? 👇 2/ The upside: • No exposed accounts • Nothing to migrate • Hash-based signatures, the most conservative choice there is 3/ The catch: QRL’s signatures are “stateful,” like a checkbook of one-time pages. • A common address setting allows 1,024 signatures • Reusing a page weakens the key • Signatures are ~39× today’s size 4/ QRL 2.0 (Zond) fixes that with ML-DSA-87 and adds smart contracts + proof-of-stake, with quantum-safe validators from day one. Audits: 60% done as of Oct 9. No launch date. 5/ Eight years of being first hasn’t brought scale: about $86M in market value. A fact about the market, not a verdict on the tech. scryvehq.com/article/quantum…
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munrocket retweeted
BREAKING: Terence Tao and 24 other Fields Medalists just signed a letter telling AI companies they're destroying mathematics >headlines: AI solves famous math problems >25 greatest mathematicians respond today >"we are witnessing a general threat to intellectual work" >ai labs are treating math problems like a benchmark you can brute force >“solutions are announced in a rush, leaving no time for a proper writeup and citing relevant previous work of others" >they're talking about openai >"this raises severe attribution and plagiarism questions" >they're definitely talking about openai >openai offered to put math professor name on navier-stokes proof >condition: abandon his coauthor bc he works at anthropic >"the most precious resources of our profession are students and ideas" >for the labs the most precious resource is GPUs A Severe Misalignment of AI in Mathematics
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munrocket retweeted
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This is the textbook definition of a Greek gift. On the surface, OpenAI generously grants 10,000 top-tier mathematicians and elite engineers free access to their frontier models under the noble, philanthropic banner of accelerating scientific discovery, pushing the boundaries of human knowledge, and democratizing artificial intelligence. But deep down in the cold reality of Silicon Valley capitalism, what they are actually doing is executing a massive, highly sophisticated intellectual heist. They are quietly gaining unrestricted, backdoor access to the raw, unfiltered, and unpublished works of the absolute finest minds in the global scientific community. Every single complex prompt, every mathematical query, every theoretical framework, and every line of experimental code fed into that system is a novel, groundbreaking idea that does not even exist yet in published academic literature or peer-reviewed journals. OpenAI does not just provide a helpful service. Their corporate algorithms sit quietly behind the scenes, aggressively monitoring all chat logs, scraping the intellectual property, analyzing the logical steps, and meticulously piecing together these fragmented, brilliant ideas over several months. And just when the human researcher is finally on the absolute brink of putting everything together, OpenAI will ruthlessly assemble a digital army of 10,000 autonomous AI agents, burn $20 million worth of computational tokens, and brute-force the final mathematical steps. Then, with the backing of their massive PR machine, corporate journalists, and tech influencers, they will proudly hold a press conference to claim that their proprietary chatbot has miraculously solved a Millennium Prize problem, completely, shamelessly erasing the human genius they systematically strip-mined to achieve it.
We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.
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munrocket retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
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munrocket retweeted
>math professor spends a year on one of the hardest unsolved problems in math >"Navier-Stokes" >his drafts for the whole project went through codex sessions >openai had his logs in codex >suddenly rumor leaks AI solved it >he emails openai to ask what's going on >openai calls within days >"funny story, our model also solved it" >using his exact approach >asks openai: did you train on my sessions? >no answer
If I am reading this correctly, Tristan Buckmaster is alleging OAI has a resolution of Navier-Stokes(via Córdoba and Martínez-Zoroa’s program) which maybe used info from Buckmaster and Levent Alpöge’s private Codex sessions What the fuck is happening!!!
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munrocket retweeted
tristan buckmaster just published a statement that is, if accurate, one of the ugliest things i’ve read out of a frontier lab. not because of the math. because of what happened after openai found out two people were about to beat them to the punch. buckmaster and levent alpöge spent a year pushing the córdoba / martínez-zoroa program to smooth forcing. august 15 they got blowup for boussinesq and 3d euler. lean-verified august 22. they were paying openai out of pocket and dumping every draft into private codex sessions. the program is obscure. almost nobody else was on it. this was not “paste the clay problem into a chatbot.” then this: > thursday sept 3, buckmaster emails openai privately. rumors are flying. he is trying to stop a mess, not start one. > they reply the same day: give us details so we can “avoid competing.” also, want free compute? > sunday they suddenly need a call “at any point today.” sebastien bubeck gets on. levent is not invited. > openai says an internal model has a ~100-page proof of forced navier–stokes blowup. fefferman options c and d. the exact route buckmaster and alpöge had quietly chosen. > they show him a prompt and claim the model was “simply given the problem statement.” levent is told “very little human input.” > that falls apart on the same call. a whole team had been on it. they started on the unforced problem, warmed the model up on easier equations including euler, and even the prompt they showed him was written by prompting codex. > he asks when the first prompt went out. they stall. then agree: the past few days. after information about his work reached openai. > he asks whether the model was trained on, or had access to, the private codex sessions where they put every draft of this project. > answer: the model does not look up user data. > he asks again. about training. > no answer. then it stops being a science story and becomes an hr story. > offer 1: you post euler. we post navier–stokes the next day. > offer 2: after you post euler, you alone write the navier–stokes paper, credit our model, and we cut levent. > bubeck says twice he wants levent removed from authorship because he works at anthropic. he declines both. he says if they release it that way, he goes public. the reply is not a scientific objection. > “why would you ruin your career?” > “if you don’t want me to be nice, then i don’t have to be nice.” later, a text to levent proposing a one-on-one: > “i don’t know if tristan is being fully rational right now.” that is not how you treat a collaborator. that is how you split one. openai got word two researchers were closing a path almost nobody else was on. they spun up a team on that exact path. they would not answer whether the researchers’ unpublished drafts in openai’s product were used. they tried to dictate the announcement order. they tried to remove a coauthor because he works at a competitor. when that failed, someone reached for a career threat. this is a lab finding out academics were about to publish, sprinting the same narrow program, refusing the data question, and trying to manage credit around a rival affiliation. really slimy if even half of this holds. what the fuck is happening.
holy shit. tristan buckmaster is saying openai has a forced navier–stokes blowup via the córdoba / martínez-zoroa program. and that it may have used drafts from his and levent alpöge’s private codex sessions. that’s the córdoba / martínez-zoroa route. almost nobody else was on it. he also says the first prompt went out after information about his and levent alpöge’s work reached openai. that “very little human input” was not true. that a whole team had already been set on easier problems, including euler. that even the prompt they showed him was written by prompting codex. then he asked: did the model have their private codex sessions. no answer on training. if any of that holds, openai didn’t just scoop a math result. they may have done it off two researchers’ unpublished drafts, then tried to cut the coauthor because he works at anthropic. a millennium-problem-adjacent result just became employee drama before an ipo. i don’t even know which part is crazier. this is one of the slimiest things i’ve seen in this industry.
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munrocket retweeted
Technology: USA 🇺🇸 vs Europe 🇪🇺 So true...
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munrocket retweeted
Imagery done for a recent design work. Made with @ChatGPT
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Color therapy for your desktop.
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munrocket retweeted
AntResearch just dropped 4DAnyone on Hugging Face! Convert a video of any person into a 4D gaussian splat for that person ▶️ huggingface.co/spaces/huggin…
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