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Training Agents during Pre-training for AI Development
The paper proposes pre-training AI models by focusing on training agents with objectives such as next action prediction explicitly. This approach aims to imbue agent-like behavior from the outset, potentially serving as a crucial step towards achieving Artificial General Intelligence (AGI). Embracing this philosophy marks a promising direction in the AI landscape, with the potential to advance the field significantly. The notable involvement of Fei-Fei Lee, a pioneer in the deep learning space, in this context further adds to the interest surrounding this novel approach.