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Great paper, arguing emergent abilities are only a function of pre training loss and not model/dataset size. ie, if you (inefficiently) overtrain a small model to the loss of GPT4, you'd get all the abilities of GPT4. arxiv.org/abs/2403.15796
demos n chill 8 thread @dmvaldman garmin dashboard “measuring my brain juice”
Fun thought experiment: what if the input into Sora wasn't text, but the motion sensor data of a robot. It turns its head, and the scene rotates. It lifts its arm, and a hand comes into view, etc. Doesn't need eyes.
Phi-3 "paper" TLDR
ORPO is the shampoo & conditioner 2 in 1 of RLHF we've bundled too far
If the outputs are the same, but the means are different, Yann would be so much happier. Too bad no one else would care.
If the outputs are the same, but the means are different, Yann would be so much happier. Too bad no one else would care.
I was so worried the big AI labs were no longer publishing their research and I'd be left behind. But it turns out it's all still train big models on lots of data.
I was so worried the big AI labs were no longer publishing their research and I'd be left behind. But it turns out it's all still train big models on lots of data.
Technology is making us less conscious, but consciousness overall is increasing.
An interesting AI math question: can you generate text with higher entropy than human text with an LLM? I'm looking at you "Backdoors of Claude" people. If so, how can a compression machine also be a decompression machine?
When I read something that changes my mind, I find it hard to believe that this was caused by a change in the strengths of my neurons. Am I wrong?
This paper is an implementation of self-awareness masquerading as "making quadratic attention more efficient".
This paper is an implementation of self-awareness masquerading as "making quadratic attention more efficient". https://t.co/yGejsSB83u
I'm not fine-tuning! I'm reality constructing, belief propagating, personality incepting.
AI-generated sad girl with piano performs the text of the MIT License
300,000 years ago System 2 came out from System 1. But suddenly, a few years ago and to everyone's shock, System 1 came out of System 2! Now, there's a rush to build System 2 again. And then, sometime in the future, it will build a new System 1, on some distant planet, probably.
Viscerally feeling that making a clean dataset for training AI is itself an AI problem. So many edge cases!
Riley Goodside @goodside
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310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxJim Fan @DrJimFan
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there is no reason to speak using >80IQ words until you have first found product-market fit speak as if you are grug “product bad. grug think too slow” “user leave product. user sad :(“ “grug will ask more users why product bad”
A: flexibility exercises --> 20% lower risk of dying B: Cool! Statistician: I have so many questions....
Research has shown that stretching can reduce all-cause mortality. We now know stretching is key to slower aging and quality of life - all ages. Interesting: those who did flexibility exercises at least five times a week had a 20% lower risk of dying during the follow-up period…
this impressed me
Human preference LLM arenas are poorly suited for evaluating ASCII art because the ASCII art that most impresses a human is often verbatim regurgitation of an existing human work and this is rarely true for text. Votes on ASCII art should be detected and thrown out IMO.
multi-head-and-shoulders-attention
ORPO is the shampoo & conditioner 2 in 1 of RLHF we've bundled too far
@wireless_anon @dmvaldman the claim is: *if you train it to match gpt-4 loss* you would never be able to match gpt-4 loss with a one parameter model (or probably even tens of millions). it's a fun question though what is the smallest model that could match it and how much training it would require
Note that there's no "Remember This" button. The AI just knows when to remember and when to use it.
Memory is now available to all ChatGPT Plus users. Using Memory is easy: just start a new chat and tell ChatGPT anything you’d like it to remember. Memory can be turned on or off in settings and is not currently available in Europe or Korea. Team, Enterprise, and GPTs to come.
Gpt2 drawing unicorns vs Claude opus Whatever this model is, its really good.
i had a dream
AI UX 2024 with @thesephist stay tuned for the highly anticipated tuba player
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments Ever since OpenInterpreter, we've all been wondering just how effective agents can be if you give them a computer. Now we have a proper benchmark. Let's take a look (🧵):
gpt-2-chatbot beats LLaMA 3 70B on a simple logical question in one take.
A mysterious new model called "gpt2-chatbot" has appeared on lmsys and it's really good. Not only does it seem to show incredible reasoning, but it also gets notoriously challenging AI questions right with a much more impressive tone. Judge for yourself.
Enjoyed this paper that plots emergent abilities with pretraining loss on the x-axis, which is actually a suggestion that @OriolVinyalsML also made a few years back: arxiv.org/abs/2403.15796 The paper uses intermediate checkpoints to plot a variety of pretraining losses. For some…
California Bill 1047 has been fasttracked: • Covers all models made w/ 10^26 flops • Covers all models with similar perf to above • Creates a Frontier Model Division to report to • Devs must assert such models are safe under penalty of perjury text: legiscan.com/CA/text/SB1047…