The labs’ research bet is that training AIs on millions of verifiable tasks across thousands of diverse reinforcement-learning environments will produce AGI capable of making progress on open-ended tasks for weeks despite errors and ambiguity.

“So here's the big research bet that all the labs are making.”

“They think that if we train AIs to accomplish millions of verifiable tasks across thousands of diverse RL environments,”

“then we will have basically built AGI because this kind of training will have created a kind of problem-solving agent,”

“the kind of thing that can make progress on open-ended tasks for weeks on end in the face of errors and mistakes and ambiguity.”