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vatsachak
searching PlanetScale…
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271.
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vatsachak
4mo ago
Even if you had to submit a picture of your driver's license, you can send someone else's
272.
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vatsachak
4mo ago
The other day some sucker told me, "don't throw that trash over there it's littering" and I told that sucker "there's no way anyone could enforce it" lol. Some people get up in their jimmies about this but
273.
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vatsachak
4mo ago
Yeah it's a hype slop piece
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vatsachak
4mo ago
JEPA in chess leads to interpretable chess boards: https://arxiv.org/abs/2606.11860 JEPA in image classification leads to interpretable image latents https://arxiv.org/abs/2508.10104 Easy intro to
275.
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vatsachak
4mo ago
Look at VLM mechanistic interpretability papers vs just pca on JEPA trained weights. JEPA gives you interpretability for free. I have not personally inspected them and my view is maybe a more exaggerated/dramatic claim of those working
276.
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vatsachak
4mo ago
All of these LLMs are getting better at being at an LLM But GPT-5.5 is as useful an LLM can be; it has solved lemmas I've thought about for a year, it can implement typed STLCs in Rust when I give it a formal grammar, it can help me an
277.
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vatsachak
4mo ago
An anonymous record type in a language whose type system is an enum LangType in Rust is just HashMap<String, Box<LangType>> My pet project requires an STLC with anonymous record types and type inference for anonymous records was
278.
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vatsachak
4mo ago
Isn't this trivial? What's more interesting is as to why double descent happens
279.
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vatsachak
4mo ago
This is why you still work on open source and do coursework for fun. The same reason you go for a jog
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vatsachak
4mo ago
Academia is stuck in the past in a lot of ways.
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vatsachak
4mo ago
Because it turns pdf generation into a programming language, hence you can automatically generate invoices with little hassle.
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vatsachak
4mo ago
Typst killed the invoice industry
283.
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vatsachak
4mo ago
Beautiful software. Thanks!
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vatsachak
5mo ago
What stops Anthropic of American energy and infrastructure costs. And those AI ASIC companies just got bought by OpenAI and you guessed it... NVIDIA
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vatsachak
5mo ago
Yeah. Models haven't really improved much from last year to this year. I really love LLMs for debugging and rubber ducking, but I kinda want to write all my code. LLMs tend to have a hard time understanding composition.
286.
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vatsachak
5mo ago
Alright, let me explain what's happening this Q Chinese providers realized that LLMs have peaked and have started trying to reduce the price per token. Deepseek pro v4 can easily add tests to my complicated code and costs cents for a m
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vatsachak
5mo ago
And if a pig had wings it could fly
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vatsachak
5mo ago
Deepseek is realistic about this and is offering great prices. I think that once companies are more realistic about token demand they can start making a profit
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vatsachak
5mo ago
I'm using both csv and aho-corasick on my project! I wish you the best and I'm sure us Rustaceans are happy to help with anything
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vatsachak
5mo ago
Docker moment
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vatsachak
5mo ago
Postgres doesn't cost any extra lol
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vatsachak
5mo ago
Sorry, I meant the code in the repo
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vatsachak
5mo ago
Looking at the commenting pattern, it seems like AI unfortunately
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vatsachak
5mo ago
I agree with this take. But this take also means that actual productive token use is not as high as people currently make it out to be. AI is an excellent rubber duck and test writer. Maybe I sniff my farts too much but I like my code just
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vatsachak
5mo ago
That's true. I should clarify by saying I meant that a human playing on par with Kasparov obviously has the planning ability to manage a McDonald's
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vatsachak
5mo ago
It might just be that we didn't have enough compute till now. StockFish definitely has superior intuition
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vatsachak
5mo ago
They are most likely using them in training. I doubt their IMO team are show ponies
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vatsachak
5mo ago
They most definitely threw in rl with formal verification somewhere between GPT 4 and now. The models are better at not hallucinating. I don't think their IMO team are only show ponies...
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vatsachak
5mo ago
My claim is that we haven't even witnessed the move 37 of math yet. I am claiming that math AI is going to get even better
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vatsachak
5mo ago
Fair. Let's see in a year. I'm willing to bet that nothing happens.
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