cheme & bioe meets ai @intelligenceco | formerly genai @capitalone phd @amarallab @clancygroup

nyc; forged in korea
Joined June 2021
you can rotate your api key but you can't rotate your genome. and also homomorphic encryption isn't going to cut it
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a couple of thoughts as we rotate all of our exposed credentials... there is no more shipping software peacefully. what we're seeing in cybersecurity today will be what we'll see in biosecurity next year.
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all the late 2025 early 2026 tricks and hacks for caching only to get permanent caching wow. this is amazing
Day 16/ You can now cache for 12h in the API and for logged in users across Codex & Work we keep cache forever and you don’t have any penalty for coming back to an old conversation or resuming after a few hours and are now guaranteed to hit the cache.
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I have around 30+ TB of biomedical and genomics data I compiled during and after my PhD. It's part of my AI scientist framework, and the compute/storage bill is a lot for me. is there a provider I could apply for academic credits? I also want to make this available publicly
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meta wonder is scoring so high on physics understanding and real-world tasks despite subpar (comparatively) coding perf. where are the RL generalists? I thought coding was supposed to conquer all domains lol
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where are the data brokers where you buy the workspace data from companies and then recreate an environment like this to train models that predict the next latent state of a business
i built a website where you can sit at elizabeth holmes’ desk open her macbook, scroll her iphone, run the theranos edison machine her texts, emails, slides, documents, and theranos machine records are real, sourced from exhibits in the united states v. holmes criminal trial
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building and running ceobench has taught me how much we are handcuffing these models
CEO-Bench mentioned 🚀
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spencer 선우 hong retweeted
<대부분 겪어가는 시절인연> 초등학교 단짝: 이젠 얼굴도 기억 안 남. 동네 친구들: 타지로 흩어져서 살아는 있나 모르겠음. 중학교 단짝: 인스타, 페북 검색해도 안 나옴. 고등학교 단짝: 연락처는 있는데 안 본 지 꽤 됨. 대학교: 단짝이라기보다 여럿 무리로 다녀서 애매함. 취업하고 친해진 동료: 일할 때만 붙어 다니고 안 만남. (퇴사 후엔 더 연락 안 함) 결국 내 인연은 부모님, 배우자, 자식인듯.
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have your ai dream of 1103 in ramanujan's series for pi. that's asi for me
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i remember trying to model 10-12 cells in orca… this has me speechless
Tackling a 60-year-old challenge in quantum chemistry: making density functional theory scale nearly linearly with system size. This has huge implications for opening the door to realistic systems that have traditionally been too expensive to simulate. AI has attempted to accelerate these calculations, but models generally struggle to extrapolate, particularly to systems larger than those seen during training. Unlike text or images, quantum-mechanical training data is extremely expensive to generate. We present a single unified AI model that performs quantum-mechanical simulations of both molecules and materials in quasi-linear time. Using a novel Fourier neural operator variant, we learn the underlying Kohn–Sham equation map to produce physics-informed, self-consistent answers. Unlike prior AI approaches that directly predict chemical properties, our model works through intermediate steps to improve difficult predictions, resembling inference-time reasoning in large language models. To demonstrate its scalability, we run a self-consistent calculation of a magnesium dislocation with about 80k electrons on a single GPU, which previously required about 7k GPUs. tensorlab.cms.caltech.edu/us… @DanishK42 @Caltech
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spencer 선우 hong retweeted
Tackling a 60-year-old challenge in quantum chemistry: making density functional theory scale nearly linearly with system size. This has huge implications for opening the door to realistic systems that have traditionally been too expensive to simulate. AI has attempted to accelerate these calculations, but models generally struggle to extrapolate, particularly to systems larger than those seen during training. Unlike text or images, quantum-mechanical training data is extremely expensive to generate. We present a single unified AI model that performs quantum-mechanical simulations of both molecules and materials in quasi-linear time. Using a novel Fourier neural operator variant, we learn the underlying Kohn–Sham equation map to produce physics-informed, self-consistent answers. Unlike prior AI approaches that directly predict chemical properties, our model works through intermediate steps to improve difficult predictions, resembling inference-time reasoning in large language models. To demonstrate its scalability, we run a self-consistent calculation of a magnesium dislocation with about 80k electrons on a single GPU, which previously required about 7k GPUs. tensorlab.cms.caltech.edu/us… @DanishK42 @Caltech
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2026: we code in ms paint
Now in beta: Notion as code. Define an entire workspace in TypeScript: teamspaces, databases, custom agents, all of it… then deploy it through the API. Build workspaces with coding agents, version-control your setup in git, and reproduce the same setup anywhere you need it.
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spencer 선우 hong retweeted
A feature I would really like in @harborframework is the framework triggering snapshots in sandboxes and letting users automatically restart evals and rollouts from saved snapshots if a run fails in the middle because of transient infrastructure or model API problems.
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the student has become the teacher
🚨 BREAKING: Kimi K3 benchmarks have released and it's ~Fable/Sol level
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sagar beat my research interview that took candidates 90+ mins in 45. he’s so skilled and i can’t wait to learn from him!
update: i'm joining @intelligenceco as an applied ai researcher! we're on a mission to build the infrastructure for the one-person billion-dollar company. agents are doing crazy things, but we're only scratching the surface. @intelligenceco is pushing the frontier of what real agent-led, long-horizon autonomous work looks like. excited to work alongside @spencersunoo and join the research team :) shoutout to @ndrewpignanelli, @KhareAbhishyant, and @katmcguir3 for moving fast and making this an easy decision. lfg!
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best part of building right now is drafting a huge spec and grilling sol on it while it grills me back. it reminds me of my friends and i whiteboarding together
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spencer 선우 hong retweeted
Excited to announce our partnership with @tryramp to offer day-one incorporation for startups directly in Cofounder. You can now apply for incorporation, an EIN, and bank account without leaving the roadmap!
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spencer 선우 hong retweeted
I’m so sorry, but NYC is the best city in the world
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