Part 4/15:
Of particular importance was the Atari deep reinforcement learning effort in 2013—a significant early foray into agents that interact with environments. However, Karpathy views this as a misstep, especially for general intelligence, since game environments don't align well with real-world complexities. Instead, he advocates for agents that interact with actual digital environments, like web browsing, knowledge work, and coding, which provide richer representation and practical utility.