Applying machine learning to paywalls, only opening content if your signals suggest the user might subscribe! https://www.niemanlab.org/2018/02/after-years-of-testing-the-wall-street-journal-has-built-a-paywall-that-bends-to-the-individual-reader/
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I find it odd that people recommend Docker for sandboxing agentic coding tools. Isn't it easier to just create a separate user account on the machine?
It's an established security boundary, and viewing output is easy (just make the user's home directory world readable).
LLMs are a really accessible machine learning technique. I dabbled with text classifiers a few years ago and the APIs were way more involved.
(system_prompt: String, input: String) -> String
I can prototype with this much more easily!
Learning software development through playing and contributing to a MUD: https://tashian.com/articles/how-i-learned-to-program/