comp bio @RetroBio_

San Francisco, CA
Joined September 2018
many such cases
My greatest strength may well be my extreme inability to coerce myself into doing work I don’t find interesting. At DeepMind I was meant to work on RLHF but mostly did philosophy about AGI risk. At OpenAI my attention wandered so much that I wrote a whole book of short stories.
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We started a new program at @RetroBio_ to explore what can be achieved by going deep on combinations of small molecules to achieve rejuvenation. Incepted by me and led by @z_chiang
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jared tumiel retweeted
Sustained molecular rejuvenation demonstrated in serially transplanted iHSCs (stem-cell-derived blood generating cells) -- a new preprint from @RetroBio_
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super excited to announce our collaboration to the world! here’s the backstory: we started with a shared goal of using AI to generate novel discoveries that would be non-trivial for human scientists to make
At @OpenAI, we believe that AI can accelerate science and drug discovery. An exciting example is our work with @RetroBiosciences, where a custom model designed improved variants of the Nobel-prize winning Yamanaka proteins. Today we published a closer look at the breakthrough. ⬇️
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my team is hiring for a research associate! we're looking for ambitious people right out of their undergrad who want to get 1-2 years of experience in a fast moving environment before starting a PhD (at or outside of Retro) jobs.lever.co/retro/b332a16f…
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it’s a good model sir
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We keep building retro/altos 🚀
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EY basically told you to predict the next token and take it as a bug report if your epistemology is not helping you predict the next token. If an agent wants to make its Brier score go down eventually it *has* to learn to balance various incomplete systems or it gets stuck.
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there is no way to "prepare for the future of work". you just need to survive
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This is unfortunate because the ostensible benefit of aggregators is matching people with diverse preferences to the diverse menu of options available. But instead we get "cultural mode collapse".
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literally stands for Oct 1 lul. agi is cool I guess.
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the fact that Apple sets this as default-on and only allows you to turn it off manually from each app’s individual settings implies that they are collecting a ton of data from this you don’t need dark patterns for settings that aren’t valuable to you
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chain-of-thought tree-of-thought monte-carlo-tree-of-thought graph-of-thought backtracking-tokens-of-thought vector-space-of-thought oh-wait-that's-just-a-model-of-thought hilbert-space-of-thought non-euclidean-geometry-of-thought covariant-general-relativity-of-thought
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the world has entered its spacepunk era
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it's only called reasoning if it's from the brain region of homo sapiens. otherwise, it's just sparkling auto-regression
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no more patience, jimmy
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Probably need gradient clipping or cosine LR decay
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so much alpha in one blog post: practical scaling of LLMs by @tomtumiel link below
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discusses tricks & techniques for model training and inference at scale: - model compilation - kernel fusion - KV-caching - gradient accumulation - low-rank finetuning - sharding & data parallelisation + more, go check it out! ttumiel.com/blog/model-scali…
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