>It's pattern matching, likely from typography texts and descriptions of umbrellas.
"Pattern matching" is not an explanation of anything, nor does it answer the question I posed. You basically hand waved the problem away in conveniently vague and non-descriptive phrase. Do you think you could publish that in a paper for ext ?
>Why am I confident that it's not actually doing spatial reasoning? At least in the case of Claude Opus 4.6, it also confidently replies "umbrella" even when you tell it to put the parenthesis under the J, with a handy diagram clearly proving itself wrong
I don't know what to tell you but J with the parentheses upside down still resembles an umbrella. To think that a machine would recognize it's just a flipped umbrella and a human wouldn't is amazing, but here we are. It's doubly baffling because Claude quite clearly explains it in your transcript.
>I feel like I have a pretty good intuition of what's happening here based on my understanding of the underlying mathematical mechanics.
Yes I realize that. I'm telling you that you're wrong.
I don't have much more to add to the sibling comment other than the fact that the transcript reads
> When you rotate ")" counterclockwise 90°, it becomes a wide, upward-opening arc — like ⌣.
but I'm pretty sure that's what you get if you rotate it clockwise.
>Do you think you could publish that in a paper for ext ?
You seem to think it's not 'just' tensor arithmetic.
Have you read any of the seminal papers on neutral networks, say?
It's [complex] pattern matching as the parent said.
If you want models to draw composite shapes based on letter forms and typography then you need to train them (or at least fine-tune them) to do that.
I still get opposite (antonym) confusion occasionally in responses to inferences where I expect the training data is relatively lacking.
That said, you claim the parent is wrong. How would you describe LLM models, or generative "AI" models in the confines of a forum post, that demonstrates their error? Happy for you to make reference to academic papers that can aid understanding your position.