Viewing profile — maxwells-daemon
maxwells-daemon
HN member- Joined
- Wed, Sep 23, 2020, 9:16 PM UTC
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- 405
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About maxwells-daemon
Site: https://aidanswope.com/ Email: aidanswope@gmail.com
Recent public activity
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Comment #49172528
Funny enough, I had some valuable stuff (including my passport!) stolen from my car, which I'd left unlocked because I was moving some heavy boxes. The police in my area (bay area)…
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Comment #49014973
As someone who also used to overthink memorizing the fretboard: this is a bad idea. You should strive to just plainly memorize the names of all of the notes, the relevant scale and…
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Comment #48140735
I have exactly the same problem in my (latest-model) Honda Civic / Android Auto! I thought I was going crazy, I'm glad to hear someone else has the same problem. The only fix I've …
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Comment #47280360
It's true, but most of the cultural innovation I'm aware of, from Bach to Coltrane to Hendrix, came from people who could make art their life, largely by paying the bills with it. …
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Comment #47277885
That isn't how it works. Jimi Hendrix, the Beatles, and most other innovators were regular working artists long before they were influential. If you take away the means for artists…
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Comment #46562018
Aristotle's output is formally verified in Lean, so you can run it for days on a hard problem and be assured that the answer, no matter how complex, is right without needing to man…
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Comment #46561996
Yes! I think that working with Mathlib is the best long term solution, because it's how people already collaborate on building out the formal "universe of mathematics." We want to …
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Comment #46561983
For this reason, when we announce results on e.g. the IMO, we formalize the statements by hand and inspect the proofs carefully to ensure they capture the full spirit of the proble…
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Comment #46561969
Thank you! It depends on the topic. Some fields (algebra, number theory) are covered well by Lean's math library, and so I think we are already there; I recommend trying Aristotle …
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Comment #46561932
We are! We very recently announced some results on formally proving the correctness of programs: https://harmonic.fun/news#blog-post-verina-bench-sota Formal methods are cool becau…
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Comment #46561569
I work at Harmonic, the company behind Aristotle. To clear up a few misconceptions: - Aristotle uses modern AI techniques heavily, including language modeling. - Aristotle can be g…
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Comment #46298951
There are a couple of interesting benefits from the machine learning side that I think discussions of this kind often miss. (This has been my field of research for the last few yea…
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Comment #42806761
Maybe there's a middle ground: a site that wants to work as well as possible for agents could present a stripped-down standardized page depending on the user agent string, while th…
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Comment #41102730
LeanDojo (at least as original published) did not use automatically formalized data, but extracted examples from Mathlib, which is already written in Lean.
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Comment #41097765
Second author here. Happy to answer any questions about the work!
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Comment #31197266
Wow! The ability to ingest the "cross product" of data on the internet and in the real world is huge; I bet a lot of what LMs don't know yet lives in that space. This seems a lot m…
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Comment #31100260
In general, a function approximation solution like deep learning does worse on cases where exhaustively finding the exact optimum is possible (small combinatorial problems), but ca…
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Comment #31100199
I guess so, but the fact of the matter is that ML/AI is actually, right now, doing useful things that would have been impossible 10 years ago. I don't think I could say the same ab…
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Comment #31100156
Yes, the way I see it, one of the major benefits of deep learning is that it lets you define functions (in the R^n -> R^m sense) that would be basically impossible to define with t…
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Comment #31093923
I work on this team! (Specifically: applied deep learning research, chip design). It's a shame to see so many people dismissing this work as marketing. I see lots of clever people …
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Comment #29517395
Automated theorem proving + neural language models + reinforcement learning. I think most people seriously underestimate how powerful modern proof assistants like Lean [1] are for …
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Comment #29108845
A friend who works in climate modeling recently told me that the best models currently in use pretty much all agree about the next few years, but they seriously diverge after a cou…
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Comment #28862432
Caltech, right? Were you the author of Flippy? There's a new generation of AlphaZero-style ML bots that's managed to finally dethrone it :) I've been working on and off on a Rust O…
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Comment #28830890
In my experience: one of Lean's main advantages is developer experience. It's convenient by design, with lots of automation to make easy proofs trivial. You do your work in VSCode …
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Comment #28670265
I use 2x3090 to train large language models, and mine don't thermal-throttle with air cooling even though they're right next to each other. Eth mining does generate too much heat t…