I have some basic ml background from college. I know how neural nets, backprop, and attention work vaguely. I want to study LLMs and keep up with the modern research and literature including thinking, model training techniques, etc.
Coding agents write, refactor, and open pull requests at a pace humans can't match. The instinct is to stuff safety into the system prompt: "never push to main," "don't touch secrets," "always run the tests. " That feels like control.
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** Jev: What Happens When AI Stops Generating and Starts Deciding? ** For the last few years, the dominant interface to AI has been simple: Give the model a prompt → generate tokens → parse the response → make a decision. That architecture works extremely well when the output is meant for a human.