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The Closing of the Frontier

tanyaverma.sh

111–120 of 142 posts

Re: The Closing of the Frontier

#111

Earlier quoted context omitted.

I can't run my business without electricity. Yet we don't fear of its access being revoked. Sam makes the comparison of intelligence to electricity a lot. So we are on the path to these systems becoming utilities.

Electricity is heavily regulated. Is there any evidence that LLMs will be the same?

Was electricity regulated in the first decade of its existence?

Re: The Closing of the Frontier

#112
Some of these concerns are precisely why we are building Nemotron at NVIDIA. We want to make it possible for people to invent and deploy AI in all sorts of new and unforeseen ways.

Nemotron is:

1. Not just open weight, but open data (to the limits of what is feasible), open recipe, open technique

2. In the future built by a coalition of organizations coming together to build great openly developed AI.

Nemotron 3 Super is our most successful model yet. [1]

Ultra is coming soon. And then Nemotron 4.

We can afford to do this because when AI grows, NVIDIA's opportunity also grows.

[1] https://kaitchup.substack.com/p/the-fastest-and-cheapest-120...

Re: The Closing of the Frontier

#113

Earlier quoted context omitted.

Electricity is heavily regulated. Is there any evidence that LLMs will be the same?

Was electricity regulated in the first decade of its existence?

I don't know but likely not. Factories were powered by steam then, and had a "power plant" on site. So they didn't convert to electricity until it was reliable and guaranteed.

Re: The Closing of the Frontier

#114
mythos has not been demonstrated doing anything dramatically different than other models. so as other comments say: very premature.

but the basic premise (shared among a lot of ai-doomers and ai-shamers), is that the bigs have somehow raped society (by training on everything available). this needs to be challenged: it implies quite a strong model of IP ownership, which is not what appears in law, or in founding documents (which are quite different from current law).

Re: The Closing of the Frontier

#115

mythos has not been demonstrated doing anything dramatically different than other models. so as other comments say: very premature. but the basic premise (shared among a lot of ai-doomers and ai-shamers), is that the bigs have somehow raped society (by training on everything available). this needs to be challenged: it implies quite a strong model of IP ownership, which is not what appears in law, or in founding docum…

While I don't agree with your conclusion, I like the phrase -- "raped society" does quite well capture the feeling of violation I think many feel at having their own publications turned into machines meant to impoverish them.

Re: The Closing of the Frontier

#116

Earlier quoted context omitted.

>> We saw yesterday that expert orchestration around small, publicly available models can produce results on the level of the unreleased model. This is false. Yesterday's article did not actually show this, and there are many comments in the discussion from actual security people (like tptacek) pointing that out.

From what I can tell, this was not clearly settled. Your example author, actually corrected themselves saying LLMs “possibly” could perform successfully: https://news.ycombinator.com/item?id=47732696

>> We already know this is not true, because small models found the same vulnerability.

>> No, they didn't. They distinguished it, when presented with it. Wildly different problem.

https://news.ycombinator.com/item?id=47733343

Re: The Closing of the Frontier

#117

Some of these concerns are precisely why we are building Nemotron at NVIDIA. We want to make it possible for people to invent and deploy AI in all sorts of new and unforeseen ways. Nemotron is: 1. Not just open weight, but open data (to the limits of what is feasible), open recipe, open technique 2. In the future built by a coalition of organizations coming together to build great openly developed AI. Nemotron 3 Supe…

how do you justify the compute investment for something like nemotron ? especially if all the labs are willing to pay for those same GPU clusters for inference or training runs?

Re: The Closing of the Frontier

#119

This feels really premature. The announcement was a week ago. The “this model is too powerful for the general public” sounds like marketing to me. Give it a few months and it will be just another model they are selling, but the NEWER model is just too powerful for the public.

It’s not premature. The consequences of the decision making framework used are clear, and the second and third order consequences can be extrapolated

Re: The Closing of the Frontier

#120
I bought a used 16 GB Intel A770 GPU for $200, and it's capable of running pretty powerful open stable diffusion and large language models.

Sure, I could get more performance out of proprietary models on much more expensive hardware, but there's diminishing returns, and consumer hardware and open models keep getting better.

I don't think the big investments into hosting models will pay off, especially as the base-line capabilities of integrate GPUs become enough to run a good model at home.

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