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In my quest to understand the true nature of an Agent I have been thinking a lot about the loop and the actions and the environment. And I think i see where we're headed next. Agents are not going to be like chatbots. They are going to be like programming languages come alive.

But context is still the bottleneck, and all the tool call inputs and outputs still have to go through the input. In the meantime we had things like CodeAct, and Code Mode, and Claude Code, that give the model access to some kind of REPL

(Read Eval Print Loop, an interactive computational environment, like a terminal or a programming language notebook). And we’ve seen models simulate computer environments as well, like in worldsim and Infinite Backrooms.

when those surfaced I also believed that agentic workflows would mostly take such forms, mainly something akin to 100r.co/site/paradis... as a way to shape the environment as a “ghost haunting contextual objects”. Anything on that direction that you know of?

People realized the model didn't have to simulate just a chatbot. It could simulate a computer. Or a computer user. Once you get RL with verifiable rewards, computer environments suddenly became the thing for models to learn. You can tell whether your model did it right by how well the code runs!