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)

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)

working on @microsub; creator of @degentipbot.eth; producer/dj; host of /campfire 🎧 + /downshift ⚙️

extremely 🎯 

modeling domains in a more constrained way could lead to much more powerful models for specific use cases (like writing functioning software)

thinking about it another way: some domains don’t compile to English very well at all (like complex geometry) but are easily represented to computers in other formats

Relevant: https://x.com/karpathy/status/1835024197506187617