Modern AI data centers consume enormous amounts of power, and it looks like they will get even more power-hungry in the coming years as companies like Google, Microsoft, Meta, and OpenAI strive towards artificial general intelligence (AGI). Oracle has already outlined plans to use nuclear power plants for its 1-gigawatt datacenters. It looks like Microsoft plans to do the same as it just inked a deal to restart a nuclear power plant to feed its data centers, reports Bloomberg.
Nfts were a scam from the start something that has no actual purpose utility or value being given value through hype.
Generative AI is very different. In my honest opinion you have to have your head in the sand if you don’t believe that AI is only going to incrementally improve and expand in capabilities. Just like it has year over year for the last 5 to 10 years. And just like for the last decade it continues to solve more and more real-world problems in increasingly effective manners.
I suspect you’re right. But there really is never a good way to tell with these kinds of experimental techs. It could be a runaway chain of improvement. Or it is probably even odds that there is a visible and clear decline before it peters out, or just suddenly slams into a beick wall with no warning.
That’s one groups opinion, we still see improving LLMs I’m sure they will continue to improve and be adapted for whatever future use we need them. I mean I personally find them great in their current state for what I use them for
What skin do you have in this game? Leading industry experts, who btw want to SELL IT TO YOU, told you it has hit a ceiling. Why do you refute it so much? Let it die, we will all be better off.
I use them regularly for personal and work projects, they work great at outlining what I need to do in a project as well as identifying oversights in my project. If industry experts are saying this, then why are there still improvements being made, why are they still providing value to people, just because you don’t use them doesn’t mean they aren’t useful.
Maybe you saw the news about a major hit to US Cybersecurity due to morons like you copy-pasting from the GeePeeTee? Or about a wave of falsified research papers generated by AI? Or how a lawyer tried to use an AI assistant resulting in fines and a bar reviewal?
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I’m sure that everyone will recognize that this was a great idea in a couple of years when generative LLM AI goes the way of the NFT.
Nfts were a scam from the start something that has no actual purpose utility or value being given value through hype.
Generative AI is very different. In my honest opinion you have to have your head in the sand if you don’t believe that AI is only going to incrementally improve and expand in capabilities. Just like it has year over year for the last 5 to 10 years. And just like for the last decade it continues to solve more and more real-world problems in increasingly effective manners.
It isn’t just constrained to llms either.
I suspect you’re right. But there really is never a good way to tell with these kinds of experimental techs. It could be a runaway chain of improvement. Or it is probably even odds that there is a visible and clear decline before it peters out, or just suddenly slams into a beick wall with no warning.
The creators who made the LLM boom said they cannot improve it any more with the current technique due to diminishing returns.
It’s worthless in its current state.
Should be dying out faster imo.
There are always new techniques and improvements. If you look at the current state, we haven’t even had a slowdown
Nah
That’s one groups opinion, we still see improving LLMs I’m sure they will continue to improve and be adapted for whatever future use we need them. I mean I personally find them great in their current state for what I use them for
What skin do you have in this game? Leading industry experts, who btw want to SELL IT TO YOU, told you it has hit a ceiling. Why do you refute it so much? Let it die, we will all be better off.
I use them regularly for personal and work projects, they work great at outlining what I need to do in a project as well as identifying oversights in my project. If industry experts are saying this, then why are there still improvements being made, why are they still providing value to people, just because you don’t use them doesn’t mean they aren’t useful.
Maybe you saw the news about a major hit to US Cybersecurity due to morons like you copy-pasting from the GeePeeTee? Or about a wave of falsified research papers generated by AI? Or how a lawyer tried to use an AI assistant resulting in fines and a bar reviewal?