[johnmaguire]

I'm not sure - with tool calling, AI can both fetch and create new context.

[0xbadcafebee]

It still can't learn. It would need to create content, experiment with it, make observations, then re-train its model on that observation, and repeat that indefinitely at full speed. That won't work on a timescale useful to a human. Reinforcement learning, on the other hand, can do that, on a human timescale. But you can't make money quickly from it. So we're hyper-tweaking LLMs to make them more useful faster, in the hopes that that will make us more money. Which it does. But it doesn't make you an AGI.

[charcircuit]

It can learn. When my agents makes mistake they update their memories and will avoid making the same mistakes in the future.

>Reinforcement learning, on the other hand, can do that, on a human timescale. But you can't make money quickly from it.

Tools like Claude Code and Codex have used RL to train the model how to use the harness and make a ton of money.