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Slater Stich
Bain Capital Ventures
@slaterstich
doing capitalism in the innovation economy
Joined May 2013
Posts
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    Very excited to share our interview with @polynoamial on AI for math — the Erdős unit distance problem, saturating the IMO, the future of math research, and more!
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    Age distribution for the Manhattan Project:
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    What I want even more than "no code" is "yes, code, but you literally never have to think about the infra at all."
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    Diffusion Without Tears is our attempt to make the score-matching + SDE interpretation of diffusion geometrically intuitive. If you're interested in our upcoming interview with @DrYangSong, I recommend reading this first! Link below.
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    the reason data quality is bad is because most data teams have zero power over the creation of data. it's like a soviet supply chain, where the end consumer has to accept whatever the factory churns out.
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    Very excited to share our interview with @DrYangSong. This is Part 2 of our history of diffusion series — score matching, the SDE/ODE interpretation, consistency models, and more. Enjoy!
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    my advice for data scientists who want to do high-impact work at startups is to learn enough software engineering to be self sufficient we'll know the data stack revolution is complete once this becomes bad advice (a day I greatly look forward to)
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    Very excited to share our interview with @jaschasd on the history of diffusion models — from his original 2015 paper inventing them, to the GAN "ice age", to the resurgence in diffusion starting with DDPM. Enjoy!
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    Excited to share our interview with @sedielem! This is Part 3 in our History of Diffusion series. We talk about diffusion as spectral autoregression, diffusion language models, flow matching, and much more. Enjoy!
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    People talk about NY as a fintech hub, but SF remains on the cutting edge of payments infra
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    Replying to @page_eco
    What about people whose blood glucose over time is given by g(t) = 1 if t is rational, and g(t) = 0 if t is irrational?
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    waiting for the "engineers shouldn't write etl" moment for user event tracking. frontend/mobile engineers hate writing & maintaining event tracking code, but data analysts can't do it on their own with current tools. nobody's happy, and we need a new solution.
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    The problem with vc market maps is that the categories are made up and the labels don't mater. ✨AI solves this✨ Instead of grouping startups by what investors think, now you can group them by what text-embedding-ada-002 thinks. (Interactive version: sl8r000.github.io/startup_embedd…)
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