Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
I’m sure AI will do those things at some point. Nobody expected the same of our microorganism ancestors.
LLMs can’t learn. It’s one of their inherent properties that they are literally incapable of learning. You can train a new model, but you can’t teach new things to an already trained one. All you can do is adjust its behavior a little bit. That creates an extremely expensive cycle where you just have to spend insane amounts of energy to keep training better models over and over and over again. And the wall of diminishing returns on that has already been smashed into. That, and the fact that they simply don’t have concepts like logic and reasoning and knowing, puts a rather hard limit on their potential. It’s gonna take several sizeable breakthroughs to make LLMs noticeably better than they are now.
There might be another kind of AI that solves those problems inherent to LLMs, but at present that is pure sci-fi.
Our microorganism ancestors also did all those things, and they were far beyond anything an LLM can do. Turning a given list of words into numbers, doing a string of math to those numbers, and turning the resulting numbers back into words is not consciousness or wisdom and never will be.
Neither is moving electrolytes around fat barriers.
You think microorganisms can reason? Wow, AI haters are grasping for straws.
Honestly, I don’t understand Lemmy scoffing at AI and thinking the current iteration is all it ever will be. I’m sure some thought that the automobile technology would not go anywhere simply because the first model was running at 3mph. These things always takes time.
To be clear, I’m not endorsing AI, but I think there is a huge potential in years to come, for better or worse. And it is especially important to never underestimate something, especially by AI haters, because of what destructive potential AI has.
The straw I’m grasping at in this example is a reasonably well-accepted scientific consensus, but you do you.