i think in the long term the problem is going to be this: a great small model always come from a greater large model, but the larger base model keep getting larger and more closed sourced

so long as there's no algorithm breakthrough

try qwen 3.7 or glm 5.2 or one of the larger gemma models

"Turn three: the company that fired its workers to save money discovers that its customers were, in aggregate, other companies’ workers."

as AI become more agentic i think this will be gradually replaced by AI buying stuff from other AI...

either people + AI is better so people just merge with AI or pure AI is better and AI takes over

either ai closes the loop which is unlikely or ai is not good and a small group of people manage to resist the urge to talk to it and take over everyone that does eventually

Saw a similar youtube video decide to make it myself.

i feel like we are using ai to solve virus detection in many cases, and in theory this is the same complexity as the halting problem.

evolutionary search is better than hard coded algorithms at finding solutions to np problems and this is similar to that. ai will be better security engineers than humans.

but simpler explanation work until they don't all of a sudden

yeah anthropic tries to address this through mechanistic interpretation but not sure they are progressing as fast in that domain as their model development

it might have broken a couple metrics since if you get above 90 percent it might be that the metric can not measure you well anymore right?

a lot of times people cry wolf for a couple of times before wolf actually comes.

i feel like theres a good chance that this is the actual wolf coming here. cause i was using opus for a lot and it's really good.