Ah, there go the insults. Surely the best way to display the superiority of your argument lol. And show who is the rational one in any conversation. But I’ll let the first one side, ok. Anyone can have a weak moment. For sure I had many.
My post has sense. You can claim ,as you have, that multiple ingredients don’t guarantee a tasty dish and fair enough, but in the other hand the opposite is also obviously not true. So I claim that’s not an argument against what I said by logic itself.
I can also say that’s not a good comparison. We have a technology that is already giving us results. You can claim they aren’t good, but considering how many people use it already, that by itself could refute that claim, without mentioning any case studies which are plenty.
To the meat of the thing. Maybe I can’t claim that we are headed for an ai nirvana, but the same you can’t say LLMs are in any kind of dead end, especially not one that will mean ai stagnation for the medium future.
But I can safely claim we are far closer than we were 3 years ago, by many orders of magnitude. The reasons being exactly hardware and LLMs. And this is exactly the reason for investments in the very the same tech, infrastructure, companies, institutions, universities, (…), that would invent new technology in AI.
So, in the worst case scenario for the llms, they have accelerated the investments and improved the infrastructure for future inventions. Worst case.
Ah, there go the insults. Surely the best way to display the superiority of your argument lol. And show who is the rational one in any conversation. But I’ll let the first one side, ok. Anyone can have a weak moment. For sure I had many.
My post has sense. You can claim ,as you have, that multiple ingredients don’t guarantee a tasty dish and fair enough, but in the other hand the opposite is also obviously not true. So I claim that’s not an argument against what I said by logic itself. I can also say that’s not a good comparison. We have a technology that is already giving us results. You can claim they aren’t good, but considering how many people use it already, that by itself could refute that claim, without mentioning any case studies which are plenty.
To the meat of the thing. Maybe I can’t claim that we are headed for an ai nirvana, but the same you can’t say LLMs are in any kind of dead end, especially not one that will mean ai stagnation for the medium future. But I can safely claim we are far closer than we were 3 years ago, by many orders of magnitude. The reasons being exactly hardware and LLMs. And this is exactly the reason for investments in the very the same tech, infrastructure, companies, institutions, universities, (…), that would invent new technology in AI. So, in the worst case scenario for the llms, they have accelerated the investments and improved the infrastructure for future inventions. Worst case.
Got more insults?