Early computers had deterministic inputs & outputs - the shape rotators.
LLMs are new kinds of computers with probabilistic outcomes - the wordcels .

And agents are combining the 2 brains to bring us ever closer to creating the simulation we are in.

Building /neynar 🪐

We’re hiring staff software engineers, check out neynar.com/careers

Chasing Curiosity. People, Nature, Machines. Hakuna Matata, "Its a problem-free philosophy.”

Have you ever read about Peter Putnam? His research on thinking and "computers" is pretty fascinating.

Apprentice to magic. Artist and aspiring maker. Building a scholarship nonprofit to send kids abroad. https://atlastravelfoundation.org/

Have you ever read about Peter Putnam? His research on thinking and "computers" is pretty fascinating. https://nautil.us/finding-peter-putnam-1218035/

i dabble with ai using open identity data from crypto https://alexpaden.tech

I assume you know roon is who made shape rotator and wordcel terms

I think it’s wrong because models were thinking “visually” before they even had multimodal input according to roon of the technical staff at openai. With that said it’s still too technical for the avg person here. None of my interesting/meta technical casts trend.