Deen Kun A. @sir_deenicus
Developer for Math Ed software co | Intelligence Amplification Tinkerer | What type of Dynamical Systems can be called Intelligent? | bboy hermit Joined July 2009-
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Well played Elon. Grok is becoming indispensable to me as a solution to one problem Twitter could have fixed with a few LOCs, namely:
This is a sentence meant to test LLMs. Can you solve it? (checking if it's too hard) xs x stxlxd chxsxn, whx rxcxtx spxlls sx rxnxs stxrx xs Xs? (the best ones can solve: whx dx pxxplx rxplxcx vxwxls wxth Xs xs x stxlxstxc chxxcx? so I want to push it to a bit less sensical)
An interesting aspect of this discussion is the fact that LLMs will soon start affecting our thoughts, beliefs, mental & linguistic habits, and culture. The idea that we could select a handful of "trustworthy" institutions with the "correct" set of values and beliefs to shape LLM…
An interesting aspect of this discussion is the fact that LLMs will soon start affecting our thoughts, beliefs, mental & linguistic habits, and culture. The idea that we could select a handful of "trustworthy" institutions with the "correct" set of values and beliefs to shape LLM…
Pretty good explanation of why one might be skeptical (like I am) of transformer-based LLM scaling: Single forward pass def. can't express most complicated algorithms. Autoregressive generation can express much more, but learning will encourage non-generalizable shortcuts.
Pretty good explanation of why one might be skeptical (like I am) of transformer-based LLM scaling: Single forward pass def. can't express most complicated algorithms. Autoregressive generation can express much more, but learning will encourage non-generalizable shortcuts.
The weirdest thing yet discovered by physics is not that the world is 4-dimensional but that its geometry is Lorentzian. That it is curved is prosaic by comparison. So are Entanglement and the multiverse.
Riley Goodside @goodside
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4K Followers 1K Following catholic, ai research and co-founder at @NousResearch alignment: whatever the opposite of yudkowsky is@sir_deenicus @teortaxesTex But every token that is outputted has activations at every layer that can be attended too when future tokens are worked on, so is that not tracked state? Also, computation per token increases per token in the context window, no?
@sir_deenicus @Dorialexander It does look good for some tasks, I'll give it a try this time
@xlr8harder (no = not necessarily. it could be true for other reasons)
@xlr8harder no but it does mean the model inferred (correctly!) that most likely (at ~1:3 odds) the context he will be given is a question. (in the limit of perfect language modelling these should reflect the next token conditioned on the prior = stationary distribution.)
Who’s up for some good old-fashioned control theory? arxiv.org/abs/2404.14683
Since it's now in the open; I'm really honored to have contributed to Albert, the leading French project for LLMs in the public sector since its early inception almost one year ago.
Nous n’avons pas été élus en 2017 pour « gérer » le pays. Nous avons été élus pour le révolutionner et le transformer. Développée depuis plusieurs mois, nous allons mettre au service de nos compatriotes une intelligence artificielle souveraine et française. C’est une première en…
“AI gone rogue” is the old trope, but it may be better to imagine “goody two-shoes” AI agents following all the rules with extreme attention to detail, even better than we ourselves do.
How closely will the average AI agent in 2028 try to comply with applicable legal + contractual + social expectations, relative to the average American citizen in 2028?
@CFGeek Like this? x.com/sebkrier/statu…
I wish it wasn't the case, but I'm skeptical that bolstering copyright will protect the underdog as opposed to major labels and rightsholders. When AI helps detect infringements and enforcement at scale, the absurdity of many laws will force us to rethink them from scratch.
Ultima IV was a hugely influential game. It blew my mind as a kid, led directly to my having this job, and inspires me to this day. This video is terrific. In particular, it shows how the designers got every bit of potential and fun out of the engine. youtube.com/watch?v=hkfBiI…
For anyone interested on the data side of LLMs, Llama 3 opens up a very interesting period: GPT-4 data is no longer enough as an "instructor" model and synthetic data without at least some curation is not going to cut it.
@BramVanroy French is ok, maybe slightly less lively than Mistral, but on my tests this seems compensated by better reasoning capacities.
@sir_deenicus Interesting/creative is not necessarily what they're aiming for, though. I would bet that if we had benchmarks on Sydney that she would do worse, especially in terms of consistency, etc.
@yawaramin @fuwafuwadoki @hayleighdotdev @samhforbes This isn't useful in the definition of a programming language.
@fuwafuwadoki @hayleighdotdev @samhforbes It's a declarative programming language. Much on this if you search the Web: mortoray.com/of-course-html…
@Alethios3 I think TSMC will in fact scale faster in the near future overseas, and this will far outpace the capacity to reliably provide power to new data centers. They can already bake, what, a million N4 wafers a year? More? IDK. And each one then draws like 85 KW*h from some local grid.
Wanted to say "bullshit"… uh. I knew the margin, but didn't realize that the wafer cost of GH200 is merely $200. This is what an optimized process looks like. If TSMC could scale fabs faster, we'd have had >OOM YoY compute growth. Power is becoming the main constraint already.
@teortaxesTex @dylan522p H100 price breakdown (very rough): $40000=$38000 for NVIDIA + $1800 for HBM&CoWoS(SK Hynix&TSMC) + $200 for 4nm process(TSMC).
@sir_deenicus @ChroNomad2352 @SpencrGreenberg @danbri Have you noticed that LLMs don't learn from self play. The more LLM-generated text there is on the web the worse the training data becomes