wordgrammer
@wordgrammer
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Ex philosophy/math learning ML. 6’3 btw
✝️
Joined November 2023
Okay. Thanks for the nerd snipe guys. I spent the day learning exactly how DeepSeek trained at 1/30 the price, instead of working on my pitch deck. The tl;dr to everything, according to their papers:
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Making good progress in the real world. Will be back officially, maybe in a month?
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Actually it’s more like 14 of my moots. Only two startups tho
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Why do two of my moots run decentralized GPU broker startups. This is like picking which child to leave the house with in the inheritance
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As my account grows it gets harder for me to post about my IRL doings. I need private beta tests n whatnot. Sad because I really enjoyed “here’s what I learned today” posting
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Startups die when they spend more time editing their pitch deck than building product
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Prime Intellect hiring the best tpot shitposters, all while brokering GPU rentals? Call that. The attention economy
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My mental model of LLMs used to be: “they solve easy problems 100% of the time, and hard problems 0% of the time”. But as time goes on, I am starting to doubt this. They seem more like: “they solve easy problems 50% of the time, and hard problems 50% of the time”.
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The non-Catholic hype surrounding the new Pope has the same energy as the US women’s team winning the 2019 World Cup
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the pope is probably better at math than grimes despite her beepy boopy shit
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Prime Intellect hasn’t trained a model better than o1-high yet, and Will Brown has been with them an entire weekend. Bearish!
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