Part 8/10:
Ja's findings create a hopeful outlook on the future of AI, especially regarding the development of smaller models that possess emergent capabilities through reinforcement learning. The prospect of having multiple tiny models tailored to distinct tasks paves the way for more efficient computations suitable for specialized situations.
Moreover, the exploration of "test-time training," a concept that allows models to adjust their biases during inference based on prompts, could yield powerful outcomes when combined with test-time reinforcement learning methodologies in the future.