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.

because knowing is finding the limits /outercorps

Husband, dad, dev. @dune.eth wizard.

⭐ DEGEN Tips FAQ: https://paragraph.xyz/@rjs/degen-tips-ultimate-faq-v8 ⭐

Not financial advice. Not a KOL.

been thinking on this a bit recently…we need models to operate on a substrate besides language for this to happen 

probably some substrates need to be domain-specific (chemistry, for example)

(cc: @swabbie.eth @rjs)

inference time compute to combat the unknown
they are now our allies

In a way, LLMs currently deal with unknowns by hallucinating them as knowns and presenting them as such. The onus will still be on people to fact check or to come with ways to verify