🧠 How AI Agents Are Structured
A very detailed report "Advances and Challenges in Foundation Agents" has been released — over 250 pages about the future of AI agents. Researchers suggest building agents based on the model of the brain: memory, perception, thinking, and actions are divided into modules, just like in the human neural system. This approach helps agents learn, plan, and adapt, rather than just respond to queries through prompting.
Interesting facts from the report:
- An agent needs real memory, like a human, otherwise it will keep "forgetting" what is happening.
- The ability to reason step-by-step is crucial, rather than just guessing answers.
- For the safety of agents, the idea of superalignment is being discussed — a stricter tuning of goals than the usual RLHF.
The report combines ideas from AI, cognitive sciences, and neuroscience, showing where we currently stand and what still needs to be resolved on the path to true AGI.
📝 Paper: https://arxiv.org/abs/2504.01990
👨💻 Github: https://github.com/FoundationAgents/awesome-foundation-agents
