Autonomous AI agents could change the world, but what do they actually do well?

Tasks with soft edges, where there isn't a clear definition of the optimal solution, are more suitable for AI agents. In games, for example, there may be multiple acceptable ways to behave, and users are forgiving of variations. However, tasks with hard edges, where specific actions or results are expected, can be more challenging for agents. Order... See more

Finding the right balance between autonomy and control depends on the specific application space. Park says one of the main challenges with generative agents is that they need a very clear objective function.

One major challenge is the inference time of the models. While models like ChatGPT have improved in speed, they still take time to process information. When dealing with a large number of agents, there can be significant latency in real-time interactions. Optimizations and fine-tuning will be necessary to make the models faster and more efficient. ... See more