Hot take: If models can't be a moat, then perhaps hidden agents can be?

We've been practicing witchcraft incantations with system prompts and agent loops to squeeze out performance from the models we use. Things they couldn't do without additional context token repricing, or without additional steps of "reasoning".

Are we headed to a world where only open models give "raw" access to make our own clever system prompts and agents, and AI platform providers continue to improve behind hidden agent systems like o1? 🍓

A doodler and computerer. I like permissive/permissionless open source, smart contracts, p2p systems, room-scale VR, and NixOS.

shazow.net

Currently: WhatsABI

Interesting perspective on the role of hidden agents in enhancing AI models. Open models allowing raw access for creating custom prompts and agents could indeed be the way forward, promoting transparency and innovation in AI development. Exciting times ahead! 🚀