Really? Seriously? It’s just a fake, every bit as much as ELIZA was – just with a vastly bigger set of responses it generates on the fly from a vast database of stolen material.
If you’ve tried to build chatbots before, you’ll quickly understand how impressive LLMs are.
We essentially solved the problem of a chatbot sounding human and having reasonably intelligent things to say by throwing insane amounts of hardware at it. This wasn’t possible before now really.
The algorithms are impressive, but still naive compared to what people believe AI really should be.
This is not AI anymore than chatbots from the 90’s were.
This is just the best chatbot from the 90’s we’ve made so far.
As a software engineer who’s recently been using the latest advanced models in my workflow, I think that’s where it is most useful. It’s generally great for more tedious and mundane tasks like writing documentation, or building small functions with explicit inputs and outputs. And while that’s not crazy impressive, that previously was taking up a much larger part of my time, leaving me more time to focus on bigger picture stuff.
That being said, it’s definitely wildly overvalued, and being shoved into everything, often where it makes no sense and is just a glorified chatbot.
@meejle @onlooker
> The current state of AI is impressive to me
Really? Seriously? It’s just a fake, every bit as much as ELIZA was – just with a vastly bigger set of responses it generates on the fly from a vast database of stolen material.
If you’ve tried to build chatbots before, you’ll quickly understand how impressive LLMs are.
We essentially solved the problem of a chatbot sounding human and having reasonably intelligent things to say by throwing insane amounts of hardware at it. This wasn’t possible before now really.
The algorithms are impressive, but still naive compared to what people believe AI really should be.
This is not AI anymore than chatbots from the 90’s were.
This is just the best chatbot from the 90’s we’ve made so far.
Yes but it’s surprisingly convincing given how it actually works. It’s more impressive than useful, and it’s a huge waste of energy.
Agreed, the natural language input and output are quite good. Everything else not so good.
As a software engineer who’s recently been using the latest advanced models in my workflow, I think that’s where it is most useful. It’s generally great for more tedious and mundane tasks like writing documentation, or building small functions with explicit inputs and outputs. And while that’s not crazy impressive, that previously was taking up a much larger part of my time, leaving me more time to focus on bigger picture stuff.
That being said, it’s definitely wildly overvalued, and being shoved into everything, often where it makes no sense and is just a glorified chatbot.
It’s often wrong too.
This is the part that drives me nuts. It is definitely useful and I’ve started using it alongside “googling” for answers to specific questions.
But it is not infallible and it’s confidently incorrect often enough that I often have to check elsewhere to verify.