361–370 of 1001 posts
Still overvalued IMO. Their market cap remains ludicrous.
Everything is overvalued if you think in terms of earning multiples, p/s, p/e should be 1:1
I just want to know if I can buy a gaming video card at a reasonable price or if i should hold off on it. I don't care about the AI shit. And yes I'd prefer nvidia because their closest competitor can't tape a box together nevermind develop and assemble a graphics card.
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It's legally a grey area. It might even be fair use. Facts themselves are not protected by copyright. If there's no unauthorized reproduction/copying then it's not a copyright issue. (Maybe it's a violation of terms of services of course.)
Copies are made in the formation of the training corpus and in the memory of the computers during training so there's definitely a copyright issue. Could be fair use though.
Earlier quoted context omitted.
It is a possibility, but my understanding of what OpenAI has said is that GPT-5 is delayed because of the apparent promise of RL trained things like o1, etc. and that they've simply decided to train those instead of training a bigger base model training on better data, and I think this is plausible.
OpenAI has an incentive to make people believe that the scaling laws are still alive, to justify their enormous capex if nothing else. I wouldn't give what they say to much credence, and will only believe the results I see.
But it can still make sense for a state, even if it doesn't make sense for investors though.
So the Chinese graciously gift a paper and model which describes methods that radically increase the efficiency of hardware which will allow US AI firms to create much better models due to having significantly more AI hardware and people are bearish on US AI now?
DeepSeek has humiliated the entire US tech sector. I wonder if they will learn from this, fire their useless middle management and product managers with sociology degrees, and actually pivot to being technology companies?
IMO this is less about DeepSeek and more that Nvidia is essentially a bubble/meme stock that is divorced from the reality of finance and business. People/institutions who bought on nothing but hype are now panic selling. DeepSeek provided the spark, but that's all that was needed, just like how a vague rumor is enough to cause bank runs.
IMO this is less about DeepSeek and more that Nvidia is essentially a bubble/meme stock that is divorced from the reality of finance and business. People/institutions who bought on nothing but hype are now panic selling. DeepSeek provided the spark, but that's all that was needed, just like how a vague rumor is enough to cause bank runs.
Hard to argue Nvidia is a meme stock and that Tesla is not a bigger meme stock. If meme stocks were imploding, why is Tesla fine? This is about DeepSeek.
Deepseek showing that you can do pure online RL for LLMs means we now have a clear path to just keep throwing more compute at the problem! If anything we made the whole "we are hitting a data wall" problem even smaller.
Additionally, its yet another proof point that scaling inference compute is a way forward. Models that think for hours or days are the future.
As we move further into the regime of long sequence inference, compute scales by the square of the sequence length.
The lesson here was not "training is going to be cheaper than we thought". It's "we must construct additional pylons uhhh _PUs"
Markets remain irrational and all that...