Yes China does all of those things. Really awesome to see you’ve challenged your own flawed reality so quickly 😄

deleted by creator

Considering the fact that there are open weight models that are pretty close™️ to frontier has me thinking otherwise. Yes I think the frontier companies will probably be face to face with collapse, but capable (and cheap) models already exist and will continue to improve. I think it’s much more likely that companies will simply run their own models (possibly custom agent harness as well) and have all the benefits they were looking for at a fraction of the cost. That being said I do think there will be a significant plateau of capabilities in the next year or so and leadership will realize these are just helpful tools and nothing more.

All that is to say, I don’t agree with your assertion that coders who are not using AI will have any sort of competitive advantage. In fact I think they’re hurting themselves in the long run. I think skeptical engineers who have a foot in both worlds are actually the best equipped for the future. Accelerate your workflow but not at the expense of quality/security.

deleted by creator

What? He’s always consistently been the heel of the show. The writers explaining his psychopathy to make you understand is not the same thing as signing off on it. They’ve made that more clear as the seasons have progressed.

What’s wrong with Funcom?

I can agree with that largely but I still contend you’re conflating a few things to make that argument. Fundamentally an LLM will make predictions based on probability (ignoring temperature) and probability does not equal certainty.

It’s temperature primarily. That being said there is still a chance that an LLM can output values that are unexpected even at low temperatures.

What are you saying precisely? It’s well known that LLMs have non-deterministic output (Ilya Sutskever even claims as such). Are you saying the way it goes about retrieving tokens as deterministic?