My thoughts on hacking, ai, faith, and more.
© 2024 rez0.
As I’ve been discussing AI agent authentication with some brilliant people in San Fran this week, it’s become clear to me that there will likely be various solutions based on different use cases and risk tolerance levels. By imaging what a mature AI agent ecosystem might look like, I’ve come to the conclusion that the industry will essentially be divided into three main categories.
My wife got me the new Meta AI Ray-Bans as an early birthday present, and I have to say, they are seriously impressive. I’ve messed with some of the other AI devices out there, but these are on a whole different level. I’ll explain why by elaborating on each use case:
Pitching the assumptions_made metadata field for AI Agents
Hey friends, let me start by saying - I’m actually really excited about Rabbit’s new r1 device. The idea of having an AI assistant and image analyzer in a portable little “Pokedex” is extremely cool. And being able to connect it to services like Midjourney for AI art generation and Spotify for music? Awesome!
I had a cool idea for a new LLM-based application this week that I think has a ton of potential.
