Raw LLM Responses

Companies are already pivoting away from AI. At least the smart ones. They're finally beginning to realize, at least the smartest of them, that AI is not what it was promised. It's a pattern recognition engine and it will more than happily repeat the pattern of a consistent error or hallucinate a false solution that sounds like it best matches the pattern of consistent error. AI is great for making sure that it only drills through the parts and doesn't drill through the bracket holding the parts. AI has no motive and therefore no creativity. And there's enough bad code out there with proposed solutions based on that bad code AS to make one laugh. The weirdest suggestions I get from the AI variable completion system that they were pushing at work would produce laughable results. Customer would be laughing but anybody examining the code would be. And it looks like the AI people are now potentially looking for a different AI solution for code completion etc. Fundamental problem is that large language learning models are not intelligent, they simply sound intelligent on TV. If you ask them a very specific question that can be answered by a search in pattern space then they can find answers nobody thought of because people can't hold that big of a pattern space in their head. But you need just as many people to ask the very specific questions as you already need to do it yourself. And to some extent those people have to be even smarter because they have to be able to vet these suggested solutions. Over on some of the Linux groups people talk about asking AI how to do something. Trying it and getting a terrible system damaging result. And then telling AI that solution you offer me doesn't work what else should I try. And then it looks for the pattern match of all the people who know that the first popular solution is crap he gives you the solution should have given you in the first place. So like if you ever get a solution from AI, you should say and