Seems to me the rationale is flawed. Even if it isn’t strong or general AI, LLM based AI has found a lot of uses. I also don’t recognize the claimed ignorance among people working with it, about the limitations of current AI models.
while you may be right, one would think that the problem lies in the overestimated peception of the abilities of llms leading to misplaced investor confidence – which in turn leads to a bubble ready to burst.
Yup. Investors have convinced themselves that this time AI development is going to grow exponentially. The breathless fantasies they’ve concocted for themselves require it. They’re going to be disappointed.
Can you name some of those uses that you see lasting in the long term or even the medium term? Because while it has been used for a lot of things it seems to be pretty bad at the overwhelming majority of them.
AI is already VERY successful in some areas, when you use editing of photos on your phone, the more sophisticated options are powered by AI. Almost all new cars have AI features.
But it’s completely irrelevant if I can see use cases that are sustainable or not. The fact is that major tech companies are investing billions in this.
Of course all the biggest tech companies could all be wrong, but I bet they researched the issue more than me before investing.
Show me by what logic you believe to know better.
The claim that it needs to be stron AI to be useful is ridiculous.
The fact is that major tech companies are investing billions in this.
They have literally invested billions in every single hype cycle of the last few decades that turned out to be a pile of crap in hindsight. This is a bad argument.
And which are those? There is no technology all major tech companies have invested in like AI AFAIK.
Maybe the dot com wave way back, but are you arguing the Internet came to nothing?
Seems to me the rationale is flawed. Even if it isn’t strong or general AI, LLM based AI has found a lot of uses. I also don’t recognize the claimed ignorance among people working with it, about the limitations of current AI models.
while you may be right, one would think that the problem lies in the overestimated peception of the abilities of llms leading to misplaced investor confidence – which in turn leads to a bubble ready to burst.
Yup. Investors have convinced themselves that this time AI development is going to grow exponentially. The breathless fantasies they’ve concocted for themselves require it. They’re going to be disappointed.
Can you name some of those uses that you see lasting in the long term or even the medium term? Because while it has been used for a lot of things it seems to be pretty bad at the overwhelming majority of them.
AI is already VERY successful in some areas, when you use editing of photos on your phone, the more sophisticated options are powered by AI. Almost all new cars have AI features.
But it’s completely irrelevant if I can see use cases that are sustainable or not. The fact is that major tech companies are investing billions in this.
Of course all the biggest tech companies could all be wrong, but I bet they researched the issue more than me before investing.
Show me by what logic you believe to know better.
The claim that it needs to be stron AI to be useful is ridiculous.
They have literally invested billions in every single hype cycle of the last few decades that turned out to be a pile of crap in hindsight. This is a bad argument.
And which are those? There is no technology all major tech companies have invested in like AI AFAIK.
Maybe the dot com wave way back, but are you arguing the Internet came to nothing?