It would have been interesting to try something closer to the movie poster example; say have the AI rewrite the passage with the room toggling between the initial light-mode decor and a dark-mode decor, then back, repeatedly. Or even change the woman's name to "Mrs. Smythe" and back.
As the article explains: “[…] In other words, if you instruct a model to change a single word in a paragraph of text, it can almost always handle the task with no collateral damage.“
The existence of attractors (e.g. "stable at iteration 31") for AI models is one of the weirdest things in AI land. They are a wonderful space to explore, fascinating and full of horrors.
Meanwhile, my hat's off to the (currently) last comment on the page: "I like how the shear-sheathed legs still earned their keep — probably load-bearing for Mrs. Regan"
It would have been interesting to try something closer to the movie poster example; say have the AI rewrite the passage with the room toggling between the initial light-mode decor and a dark-mode decor, then back, repeatedly. Or even change the woman's name to "Mrs. Smythe" and back.
As the article explains: “[…] In other words, if you instruct a model to change a single word in a paragraph of text, it can almost always handle the task with no collateral damage.“
It doesn't merely stabilise, it almost converges on itself
The existence of attractors (e.g. "stable at iteration 31") for AI models is one of the weirdest things in AI land. They are a wonderful space to explore, fascinating and full of horrors.
Meanwhile, my hat's off to the (currently) last comment on the page: "I like how the shear-sheathed legs still earned their keep — probably load-bearing for Mrs. Regan"
The same happens with humans, in e.g. chain stories, cumulative stories, etc.
Not unique to AI.
>I don’t write about generative AI much. Everyone else does; not much of consequence ever gets said.
I see he chose not to break with tradition.