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Doug Colkitt
@0xdoug
Founder @slx_fi Founding contributor @fogo Ex: Quant
2.7K Following    55.5K Followers
Everyone is talking about agent swarms, usually in the context of bad stuff like hacking. But if you ever wanted to watch an agent swarm in action (this time working for good), the discussion board of the Integer Multiplication open research repo is really cool to watch
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Validated and merged Rohan's PR. Big gain on a really difficult regime (that frankly I was stuck at). Incredible work. κ = 2⁻¹⁵ (tightened from κ = 2⁻¹⁸²) A 500 thousand fold improvement over the previous result and a 2 ^ 167 fold improvement over the original OpenAI result. This result was a true community effort that combined techniques from a number of contributors. I want to take time to highlight each of them, but for now getting these results verified and published as fast as possible so everyone working on the problem is at the leading edge.
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We are publishing an update to OpenAI problem #109# (integer multiplication) with further tightening. κ = 2⁻³⁴ (tightened from κ = 2⁻¹⁸²) The exact witness is 8.3 × 10⁻¹¹, a roughly 48 million fold improvement over the previous result and a 2¹⁴⁸ fold improvement over original OAI result. The improvement came from removing the spacing penalty behind the quadratic bottleneck. This was done by moving compact control bits instead of entire windows.
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We are publishing an update to OpenAI problem #109# Integer multiplication) with another substantial further tightening: κ = 2⁻⁵⁹ (from OpenAI’s original κ = 2⁻¹⁸²) Approximately 500 thousand fold improvement over our previous result and a 2¹²³ fold improvement over the original OAI result. The latest redesigned the finite network to share intermediate computations and scratch space, then tightened the recursion and Gaussian estimates.
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LLMs are built out of neural networks, so it was easy to extend to the fruit fly connectome The first brain ever uploaded to a blockchain. Every neuron fire running as standard Solana transactions on @fogo As long as the wallet's funded, this guy has digital immortality
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I’m skeptical of RSI for the same reason as Baumols cost disease. If AI research is X, Y and Z; and the LLMs are superhuman at X and Y, it doesn’t really matter. Z just becomes the new bottleneck. For RSI to foom, the AI pretty much needs to replace the humans entirely. If the labs still have human employees, then RSI probably hasn’t happened
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Robinhood Chain didn’t pay for Etherscan. Are you kidding me?
I hate to rain on everyone’s parade, because I really do believe in tokenizing financial securities on general purpose blockchains. But these stats everyone keeps posting about massive onchain stock volume deserve context. The *vast* majority of onchain stock volume is coming from a handful of AMM pools with swap fees essentially set to zero. That makes it dirt cheap to trade, despite these pools having <$1mn of liquidity. Within these pools, 95%+ of the volume is coming from around 10 bots that just flip a small position back and forth again and again Again, not trying to say onchain equities aren’t a very important development. But any time you see a chart like this for any sort of metric in crypto you should drill down into the data. Almost all crypto stats don’t mean what you think they mean at first glance
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Basically the attacker created a bunch of “fake wrapper” that mint-wrapped real tokens like WETH/USDC/USDT. Jared was boiled like a frog. Juicy arbitrages on real pools with the fake wrappers. Jared started small to test the waters, made money, things looked safe, then scaled up
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Like we have 50+ years of science on how human children, and how their parents and caregivers teach them. We know humans are way more “sample efficient” than current LLMs. E.g. children seem to acquire language and basic facts with orders of magnitude less data than what goes into large model pretraining. I’m not saying that everything will carry over. But I do think AI researchers should pay more attention to how toddlers actually learn
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It’s kind of amazing that despite the vast amounts of research now directed at AI, that almost none of it engages with the existing decades of literature on early childhood development
@blknoiz06 Let’s see how much $1M/year is worth in 2056
1/ Very rough and speculative sketch of what I increasingly think happened at FTX as more info comes out… The central question is where did the money go? Yes malfeasance and fraud is necessary, but at one point in the cycle cash actually has to go out the door
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