Rui Shu

I draw smileyball organic artisanal handcrafted code @OpenAI
Previously doing the same @Stanford

[Rui Shu @_smileyball]

May the prompt be with you

[Rui Shu @_smileyball]

@lucaslugao @littmath @ElliotGlazer use neural compression

[Rui Shu @_smileyball]

@NeelNanda5 "you get paid 2.5x if you agree to donate 0.8"

[Rui Shu @_smileyball]

should've named it VerTeX

[Rui Shu @_smileyball]

@distributionat Kinda cool bc "試" means "try". The unembedding for "試" and "try" must be quite close, which is representationally/semantically desirable, but awkward for generation.

[Rui Shu @_smileyball]

@ptrschmdtnlsn truly the shit-eating market maker

[Rui Shu @_smileyball]

@ChuckBaggett @_beenkim I'm actually quite upset that there's not a <disable-link-clicking-unless-I-really-know-what-I'm-doing> functionality in gmail. That added bit of friction is a good forcing function for staying vigilant---especially when we're super distracted.

[Rui Shu @_smileyball]

@BenjaminDEKR neural nets can dream. so we should keep up by aggressively sleeping and dreaming more.

[Rui Shu @_smileyball]

@prajdabre > "I'll get some problems labeled and fine tune the model" is a perfectly good starting answer

and a good research practice. Do the dumb simple thing first!

[Rui Shu @_smileyball]

@ForrestPKnight What I'd give to hear Ben Affleck say "typical set" instead of "mean"

[Rui Shu @_smileyball]

@joseph_h_garvin behold: neurosymbolic ai

[Rui Shu @_smileyball]

@docmilanfar me using measure theory: "assume the pdf exists"

[Rui Shu @_smileyball]

@nlpnyc @ilex_ulmus @ESYudkowsky I doubt it's coordinated. But it's good information hygiene to always be mindful of survivorship bias c:

[Rui Shu @_smileyball]

@eW8fkgAM52GS9xW @dwarkesh_sp I'm concerned about power inequality in a finite-resource world. While I may or may not care how wealthy someone else is (good for you btw!), I certainly do care how powerful people influence the world I live in. Thus my comment about agency and wanting my actions to matter c:

[Rui Shu @_smileyball]

@wavage_ the analogy between GLP1 and LLM isn't perfect, but I'm in full support of deliberately overcoming <physically/cognitively painful problems> as a means of character-building and giving us, as Asimov puts it, a feeling of power c:

[Rui Shu @_smileyball]

@docmilanfar only if you're lucky enough to be stubborn about the right things 🙃

[Rui Shu @_smileyball]

@andrewgwils NFL is useful!

It helps me sleep at night bc it's how I convince myself that finite capacity NN + shitty SGD optimization is a feature, not a bug c:

It's a great reminder that the universal function approximator narrative that was popular a ~decade ago is pure bait >:c

[Rui Shu @_smileyball]

@max_spero_ wow it's almost as if we trained the models via distribution matching

[Rui Shu @_smileyball]

@willdepue @dwarkesh_sp @tszzl I think LLMs have no "taste" for what is a deep vs superficial insight. Imo a deep insight helps me decide next steps, etc. Talking to colleagues leads to more of such insights. But LLMs are great for translating my colleagues' deep insights into something my brain groks c:

[Rui Shu @_smileyball]

@brittlefilms