Recursive CEO @RichardSocher explains why open-endedness is crucial for AI breakthroughs: If you only focused on improving fire, you'd never invent the microwave. "If you just go directly after the goal, you’re not thinking enough about clever ideas." "Imagine you started cooking food over fire, and you’re like, let’s make it faster to heat up food. If you just deal with the fire, you would never invent the microwave. The microwave happened because other people were working on radio waves and realized, this chocolate bar in my pocket is melting." "One of the earliest papers is the Darwin Gödel Machine. Four of the five authors are at Recursive. You see the kinds of plots that became popular with Andrej Karpathy’s Auto Research project first in that paper." "An open-ended approach to prompt injection is you ask another LLM to attack the first one, and once it figured out the attack, you inoculate it, and ask it again. You co-evolve an attacker LM with a defender LM. That idea is called rainbow teaming, invented by Tim Rocktäschel and his team." "That’s a better approach long term than just pure RL where you chase after this exact goal." @Recursive_SI