Question for HNers: Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? And do you think all of Nvidia’s customers throwing money at data centres full of GPUs will cause the current generation of AIs (LLMs etc) to deliver greater and greater returns, sufficient to make Nvidia worth this current valuation and more? WalMart’s market cap is $540billion. Would…
Nvidia hits $3T market cap on back of AI boom
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Re: Nvidia hits $3T market cap on back of AI boom
#42Re: Nvidia hits $3T market cap on back of AI boom
#43Question for HNers: Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? And do you think all of Nvidia’s customers throwing money at data centres full of GPUs will cause the current generation of AIs (LLMs etc) to deliver greater and greater returns, sufficient to make Nvidia worth this current valuation and more? WalMart’s market cap is $540billion. Would…
Re: Nvidia hits $3T market cap on back of AI boom
#44Earlier quoted context omitted.
> Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? I'm actually quite bearish on AI on the very long term (and as a trained philosopher, I don't buy into the whole AGI nonsense), but I do think AI will redefine how we interact with our computers/devices in the short-to-medium term. These days, everyone's too enamored with the generative aspect (which is,…
> as a trained philosopher, I don't buy into the whole AGI nonsense Can you elaborate on why you believe AGI is nonsense? > ignoring the way more value-generating aspects (synthesis, categorization, summarization, etc.) Summarization is one of the most common applications of LLMs I see. I expect if I knew more precisely what you meant by the other two we'd find examples of those, too. Everybody is trying to find out…
John Searle is much smarter than I am and he elaborated plenty on this in the 80s. (But more saliently, I think it's absurd to think our brains, or brains in general, do polynomial curve fitting in any meaningful sense.)
> Summarization is one of the most common applications of LLMs I see.
This is true, though the workflow is extremely cumbersome.
> People are doing exactly what one would expect them to do.
I don't disagree, I think people are moving in the right direction (albeit slowly). Maybe the generative aspect is just more awe-inducing rather than "oh hey this thing creates calendar events out of any date," even though the latter would be way more useful.
Re: Nvidia hits $3T market cap on back of AI boom
#45Question for HNers: Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? And do you think all of Nvidia’s customers throwing money at data centres full of GPUs will cause the current generation of AIs (LLMs etc) to deliver greater and greater returns, sufficient to make Nvidia worth this current valuation and more? WalMart’s market cap is $540billion. Would…
>Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? No, but in general I don't think anything justifies that valuation with 60 billion in annual revenue. Someone pointed out that Nvidia's market cap is now comparable to the entire German or Japanese stock market and I'd rather have an economy the size of a few trillion. American stock prices look like Japa…
And as you point out the revenue to market cap seems like we’re getting silly. It’s even making me wonder whether Jensen and his brains trust are going to start massaging their own figures, because any less-than-stellar results next quarter could really kill the party. And if Nvidia really is turning into a bubble, it could pop the whole of the Nasdaq for a while.
Re: Nvidia hits $3T market cap on back of AI boom
#46There are claims that Nvidia will go bust like how Cisco did, but I think Jensen Huang knows what he is doing. https://x.com/all_in_tok/status/1796602545055342784
Re: Nvidia hits $3T market cap on back of AI boom
#47Earlier quoted context omitted.
The market cap is irrational and I submit as evidence Llama 3. AI won’t need huge amounts of computing resources. It will need moderate amounts of computing resources. The huge amount of computing resources seen today are the result of immature technology that uses resources inefficiently. As the technology improves, the capability-per-FLOP will increase and AI will move on-device.
AI has seen rapid efficiency improvements every year for the last decade, but the amount of computation used has gone up, not down. The improvements always go into making larger and more powerful models, not into just running the same models but at a lower cost per hour. https://epochai.org/blog/algorithmic-progress-in-language-mo...
Re: Nvidia hits $3T market cap on back of AI boom
#48Question for HNers: Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? And do you think all of Nvidia’s customers throwing money at data centres full of GPUs will cause the current generation of AIs (LLMs etc) to deliver greater and greater returns, sufficient to make Nvidia worth this current valuation and more? WalMart’s market cap is $540billion. Would…
The valuation is driven by its huge margins and growth in revenue. It's an inevitable pump sorts. It can't and won't last. There's just too much margin for players not to compete or design their own chips. The only question for capitalizing is how to time your shorts.
Re: Nvidia hits $3T market cap on back of AI boom
#49Question for HNers: Do you think that AI is having a big enough impact already to generate this valuation? Is it changing your life? And do you think all of Nvidia’s customers throwing money at data centres full of GPUs will cause the current generation of AIs (LLMs etc) to deliver greater and greater returns, sufficient to make Nvidia worth this current valuation and more? WalMart’s market cap is $540billion. Would…
The market cap is irrational and I submit as evidence Llama 3. AI won’t need huge amounts of computing resources. It will need moderate amounts of computing resources. The huge amount of computing resources seen today are the result of immature technology that uses resources inefficiently. As the technology improves, the capability-per-FLOP will increase and AI will move on-device.
Llama 3 has likely costed billions to Meta and most of it went to Nvidia. What are you talking about. As much as what you think inference costs, it is tiny in comparison to training the model.