The Short Case for Nvidia Stock | YouTube Transcript Optimizer

On Deepseek.

they observed what they called an “aha moment,” a phase where the model spontaneously learned to revise its thinking process mid-stream when encountering uncertainty. This emergent behavior wasn’t explicitly programmed; it arose naturally from the interaction between the model and the reinforcement learning environment. The model would literally stop itself, flag potential issues in its reasoning, and restart with a different approach, all without being explicitly trained to do this.

Oh oh.