Part 3/8:
A recent Google DeepMind paper, "The Era of Experience," introduces the notion of AI learning directly from real-world interactions and experiences rather than just relying on reinforcement learning or large language models (LLMs). This evolutionary phase suggests that future AIs could learn in a more human-like manner, assimilating experiences to enhance their capabilities over time.
The learning shift proposed encourages AIs to not only gather data from human interactions but also engage with their environment, thereby building a robust long-term memory. This evolution promises a transformative approach to how AIs operate, with implications for everything from robotics to customer service.