In achieving his dream to be a rocket scientist, he would become an American hero. But it was not going to be easy.
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I was confident in that approach because you would not call multiple .play()s on the same page to lead a reverse engineer astray. Why? Because mobile devices typically speaking will pause every other player except one. If fermaw were to do that, it’d ruin the experience for mobile users even if desktop users would probably be fine. It also makes casting a bitch and a half. Even if you did manage to pepper them around, it would be fairly easily to listen in on all of them and then programmatically pick out the one with actually consistent data being piped out.
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.