For the foreseeable future, I think that LLMs will continue to:
- improve significantly on what can be measured
- struggle on what cannot be measured

creating and destroying; built flying cars & autonomous vehicles, now building /faust, more here: /july, web: july.rocks

In many ways, I think the limit is what can be measured. In order to do better on what cannot be measured, we will need to convert more of what cannot be measured to what can be measured, and I think we continue to vastly underestimate what cannot be measured because it is an unknown unknown (we have no idea)

Second this. 

AI takes over the known knowns space, pushing humans more into the unknown unknowns.

Currently interested in learning about complexity science, philosophy, love, theory of computation, epistemology, quantum physics

I agree fundamentally, but I also think AI helps highlight unknown known knowns. AI helps find and fill in the details of the overall knowledge gaps. 

AI connecting dots that exist. Humans finding new dots.

Definitely possible, but the real value is described by the nine dot puzzle.

👨🏻‍🍳 Better cook than I look 👨🏻‍🍳 
🧪 Dada scientist 🧪 
📐 Student of design 📐 
👾 👾 👾 👾 👾 

 /ai-art

I think that should be an "and", and I agree with you. 

Back to July's premise, AI will help highlight what we think can't be measured but actually can be. 

And in doing so will implicitly highlight the immeasurable, or yet-to-be-measurable, enabling humans to focus on the unknowns and making them measurable

I think we're saying similar things here, and agreeing. I'm typing it all out to make sure I understand myself, not to be disagreeable

Definitely possible, but the real value is described by the nine dot puzzle.

https://en.wikipedia.org/wiki/Nine_dots_puzzle

AI is like a machine that can help plant crops faster, and humans will continue to find new dishes to make with the harvest