alt Hacker NewsI guess I'm just more critical than you are. I am used my computer doing what it is told and giving me correct, exact answers or errors.
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There is also Mercury LLM, which computes the answer directly as a 2D text representation. I don't know if you are familiar with Mercury LLM, but you read correctly, 2D text output.
Mercury LLM might work better getting input as an ASCII diagram, or generating an output as an ASCII diagram, not sure if both input and output work 2D.
Plumbing/electrical/electronic schematics are pretty important for AIs to understand and assist us, but for the moment the success rate is pretty low. 50% success rate for simple problems is very low, 80-90% success rate for medium difficulty problems is where they start being really useful.
I think most people treat them like humans not computers, and I think that is actually a much more correct way to treat them. Not saying they are like humans, but certainly a lot more like humans than whatever you seem to be expecting in your posts.
Humans make errors all the time. That doesn't mean having colleagues is useless, does it?
An AI is a colleague that can code very very fast and has a very wide knowledge base and versatility. You may still know better than it in many cases and feel more experienced that in. Just like you might with your colleagues.
And it needs the same kind of support that humans need. Complex problem? Need to plan ahead first. Tricky logic? Need unit tests. Research grade problem? Need to discuss through the solution with someone else before jumping to code and get some feedback and iterate for 100 messages before we're ready to code. And so on.