News story from Entrepreneur with the headline "Nvidia CEO Says He Would Major in the Physical Sciences"
ever since i saw the acollier video where she complains that rich people are always talking about how they could have done physics i can't stop seeing it.
nothing wrong with wishing you had but if you have a billion dollars nobody is stopping you from just doing physics. join us.
I'm at ACL in Vienna if you want to say hi send me a message!
homeland security: +$43,800M
defense: +$113,300M
NIH: -$17,900M
NSF: -$4,609M
Rental Assistance: -$26,700M
someone who is good at the economy please help me budget this. my family is dying
idea: a website where you play werewolf (or some other deception game) but the werewolves are all ai so you have to figure out who is human and who isn't.
Picture of Logan Paul with text that reads "LOGAN PAUL HAS BEEN BANNED FROM ATTENDING ICLR"
i feel the same way about podcasts as zoomers do about phone calls. i'm ideologically opposed to the idea of downloading informational content from itunes or whatever. i don't know popular phone numbers and i don't want to.
show me how the standard model lagrangian explains that.
if the universe is made entirely of harmonic oscillators then why don't i see more harmony in the world? for example, a box of oreos costs $9 in manhattan.
all functions are linear if you really think about it enough
I am not a prompt engineer. I am a slow engineer.
How would you even prove that one model was trained on another model's outputs as opposed to a similar distribution of data? I thought we couldn't even prove that a model was trained on a particular piece of text with high certainty.
i tried the deepseek distilled models on some theory of mind datasets and they think for ~2000 tokens before outputting the same answers as the base model lol
broke: using a learning rate of 1e-5
woke: using a learning rate of 1e-ฯยฒ/2
the answer to so many problems is "put it in a vector space and (optionally) do something".
want to know what a word means to the computer? put it in a vector space.
want to know a particle's allowed energies? put it in a (special) vector space and solve for some eigenvalues.
the short answer is yes. uv rules.
downloading one of those AI homework helper apps and asking it to help me with problems out of classical electrodynamics by jackson just to see what happens.
XKCD 927. Panel 1: Situation: there are 14 competing standards. Panel 2: 14?! Ridiculous! We need to develop one universal standard that covers everyone's use cases. Panel 3: Soon - Situation: there are 15 competing standards.
should i be using uv? is python dev tooling finally unified under the iron fist of rust?
i don't install any dev tools that don't have uninstall steps in the documentation
Are they... Dangerous?
Like 2-3 weeks of casual practice maybe.
I've been learning to pick locks and they have a belt ranking system (similar to karate) where once you get above essentially beginner (~blue+) there is no lock you can buy on Amazon that is difficult enough to pick.
You have to start buying locks from like enthusiasts on discord lol.
Alice wins if the final path does not cross over the first super-diagonal of the grid (as pictured). Bob wins if it does.
Who will probably win?
- Alice
- Bob
- Equally likely
Alice and Bob are playing a game on a 6x6 grid. They place a piece on the bottom left and then flip a coin. If heads the piece moves one to the right. If tails it moves one square up. They do this until the piece falls off the board.
Does anyone have like a simple example of deepspeed zero-3 training on a slurm set up? I know you can piece it together from the docs but if it's just out there already that would be sick.
Ok I now have access to multiple GPUs. Today is the day I figure out how to do distributed training.
s = 2.716
s = 3.789
I used a simple neural net to approximate optimal square packings. It still needs some tuning but the results aren't too bad.
The optimal solutions for these are ~2.707 and ~3.707. Pretty close! Curious if (with some refinement) I can get some new packings this way.
Tweet from me that reads "I am posting a bit on twitter's algebraic dual space these days (same username) if anyone here wants to form some homomorphisms."
and now we wait.
I've been doing chess puzzles (I am bad) and no matter how many times I hear the phrase "if you see a good move look for a better one" I find the second best move every time.
I think I've been doing this in other parts of my life too. Ordering food, watching movies, picking research projects, ...
Wojaks pointing at headlines about LM theory of mind
A table of results with a screenshot from an r/physics post asking "what do I do if I have theories?"
A slide that asks "does anybody care about this kind of result anymore?"
Sometimes I think my research slides might be a little too unprofessional.
I'm an NLP/ML grad student. Thanks for putting this together, it's super useful.
