Such a cool discovery - shows again that at this phase of LLM, the best way of pulling its super power is frame a problem into a coding one. Greatly done!
TL;DR: Models are limited by their own intrinsic capabilities, like humans.
Some people are just physically gifted with biological and mental capacities that others aren't. I can never be a top-flight basketball player because I'm short. Doesn't mean I couldn't be a Muggsy Bogues, but, those are one-in-a-million.
Not a ground-breaking realization but a fun way of showcasing the heuristics that govern outcomes.
The "controlled chaos" finding is the most interesting part to me. The best humans don't win by being more precise than the AI but win by being strategically messy.
It makes me wonder how much this generalizes beyond Tetris and whether the best approach to working with AI is less about competing on optimization and more about knowing when to introduce the kind of productive disorder that breaks clean heuristics.
Such a cool discovery - shows again that at this phase of LLM, the best way of pulling its super power is frame a problem into a coding one. Greatly done!
TL;DR: Models are limited by their own intrinsic capabilities, like humans.
Some people are just physically gifted with biological and mental capacities that others aren't. I can never be a top-flight basketball player because I'm short. Doesn't mean I couldn't be a Muggsy Bogues, but, those are one-in-a-million.
Not a ground-breaking realization but a fun way of showcasing the heuristics that govern outcomes.
The "controlled chaos" finding is the most interesting part to me. The best humans don't win by being more precise than the AI but win by being strategically messy.
It makes me wonder how much this generalizes beyond Tetris and whether the best approach to working with AI is less about competing on optimization and more about knowing when to introduce the kind of productive disorder that breaks clean heuristics.
linkedin slop headline goes hard