“AI” is continually improving prediction models. There are excellent use cases for prediction models, like weather forecasting, or planning distribution of emergency resources ahead of impending disaster.
But expecting a desk jockey to expect any prediction model to accurately create anew thing based on a human description of what that thing should be like would require the prediction model to possess its own creativity. That’s just not a thing.
I can only assume that you didn’t fully read my comment, because it is specifically not talking about such prediction models. It is specifically talking about LLMs and the related corporations around which all of the current VC hype nonsense is centered.
seems to imply that there is a correct way to use AI.
LLMs are universally hugbots, telling you what they think you want to hear. That’s always going to be a bad way to get accurate solutions. I think we agree on that.
There are prediction models that aren’t LLMs which can be useful. Your comment was unclear on whether you considered LLMs to be the entirety of “AI” or not.
“AI” is continually improving prediction models. There are excellent use cases for prediction models, like weather forecasting, or planning distribution of emergency resources ahead of impending disaster.
But expecting a desk jockey to expect any prediction model to accurately create anew thing based on a human description of what that thing should be like would require the prediction model to possess its own creativity. That’s just not a thing.
and llms are suited for none of those examples you gave.
I can only assume that you didn’t fully read my comment, because it is specifically not talking about such prediction models. It is specifically talking about LLMs and the related corporations around which all of the current VC hype nonsense is centered.
The early part of your comment said
LLMs are universally hugbots, telling you what they think you want to hear. That’s always going to be a bad way to get accurate solutions. I think we agree on that.
There are prediction models that aren’t LLMs which can be useful. Your comment was unclear on whether you considered LLMs to be the entirety of “AI” or not.