NP-Soft @spectral_graphs
Mirror on my wall Casts an image dark and small But I'm not sure at all it's my reflection Joined September 2022-
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Demonstrates the low scientific literacy in this country. Otherwise smart people, from good colleges and nice jobs, still believe in such nonsense. Don't know whether it's farming for engagement (in which case I'm guilty), ignorance, or just appealing to uncles.
Demonstrates the low scientific literacy in this country. Otherwise smart people, from good colleges and nice jobs, still believe in such nonsense. Don't know whether it's farming for engagement (in which case I'm guilty), ignorance, or just appealing to uncles.
oppenheimer but it's artificial intelligence (1/10)
Most people today move to a new city for work and are lonely. We're never formally taught the art of making friends in a new city. Here's 10 things that worked for me: 1/11
The innate desire to beat Elon Musk into a fine paste is the most human emotion Zuck has ever had
The innate desire to beat Elon Musk into a fine paste is the most human emotion Zuck has ever had
The Shrödinger problem defines a dynamic interpolation between two distributions using Brownian bridges. The 0 temperature limit is Optimal Transport. hal.archives-ouvertes.fr/hal-00849930/d…
There’s a pandemic of loneliness among Indian youths and it primes them toward right-wing radicalisation, Raj Shekhar Sen (@DiscourseDancer) writes. newslaundry.com/2023/07/24/iso…
The max of n independent Gaussians concentrates around sqrt(2log(n)). The max central limit theorem allows to quantify this. en.wikipedia.org/wiki/Fisher%E2…
I was watching Lord of the Rings last night and realized there are many parallels with academia! A thread 🧵👇
Fireflies xkcd.com/2802
I've proven the strangest result of my career.. The classic idea that gradient descent's rate is best with constant stepsizes 1/L is wrong. The idea that we need stepsizes in (0,2/L) for convergence is wrong. Periodic long steps are better, provably. arxiv.org/abs/2307.06324
On Oppenheimer. We don’t note enough about the fact that fallout from testing had huge impacts. It damaged farming in the Midwest for decades. Decreased yields of corn and wheat, as well as decreased animal fertility & deaths, literally cost tens of billions of dollars to farmers
Humans doing the hard jobs on minimum wage while the robots write poetry and paint is not the future I wanted
ChatGPT + Midjourney + Photoshop, invent new emotions by @jphilipp 1.
I am tired of DMs that keep saying "why don't you post about tech only? why write political stuff". Because you nincompoops smh don't see that ppl are being killed for 'suspicion' of carrying meat, on a regular basis, and 10 yrs back journalists gave a fuck abt it, not anymore
I am tired of DMs that keep saying "why don't you post about tech only? why write political stuff". Because you nincompoops smh don't see that ppl are being killed for 'suspicion' of carrying meat, on a regular basis, and 10 yrs back journalists gave a fuck abt it, not anymore
GPT-4 "discovered" the same sorting algorithm as AlphaDev by removing "mov S P". No RL needed. Can I publish this on nature? here are the prompts I used chat.openai.com/share/95693df4… (excuse my idiotic typos, but gpt4 doesn't mind anyways)
GPT-4 "discovered" the same sorting algorithm as AlphaDev by removing "mov S P". No RL needed. Can I publish this on nature? here are the prompts I used chat.openai.com/share/95693df4… (excuse my idiotic typos, but gpt4 doesn't mind anyways)
You can never be too rich, be too thin, or know too much linear algebra.
This is the greatest mathematician story ever told
Or, as I've said before: I reject any ethical system that decides the trolley problem.
Major take of mine: the universe is nice to physicists by being “continuous” in the sense that “small” differences between your model and reality *often* lead to quantitatively controllable errors. In some other fields, like econ, small changes to the model usually blow up
Major take of mine: the universe is nice to physicists by being “continuous” in the sense that “small” differences between your model and reality *often* lead to quantitatively controllable errors. In some other fields, like econ, small changes to the model usually blow up
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