The companies that have real boards would never take the risk.
Once Elon’s air cover is blown, the government is going the dissect Tesla. Once someone gets the injunction to stop deletion of crash data and allow for inspection, they are cooked.
I don't think self-driving is remotely close to working at any scale. I also don't think it's the killer-app. Right now, cheap electrics and moreso cheap hybrids are the killer.
It works "at scale" if you have no idea what "at scale" actually means and have never left the Bay Area or NYC. Or if you like, don't believe weather exists.
I ride in my friends Model Y Performance with HW 4.5 from time to time and it always gets us from point A to point B without any interventions that I have seen yet and this is in Wisconsin, and yes it was working well with some snow and ice conditions this past winter. It seems really impressive to me at least.
Okay, but do you admit it (self-driving, either Tesla or Waymo) works in the Bay Area? Because the OP said self-driving is not remotely working "at any scale".
That's fair. In all honesty I'm already feeling challenged but given how much time I save I can set aside some time to keep myself sharp. I can learn more languages. Additionally, as pointed out by others, I'm trading coding effort for design and and strategy, which generally control business outcomes a lot more.
Having said that, I won't use AI for production system if I don't understand the programming constructs in enough detail.
Easily 99 percent on most tasks. As an example, for a Python project with a dozen modules and ~50 files,a simple instruction like "Design a config file backed by Pydantic to store the project's settings. Keep the models modular" sets up nested Pydantic models, moves the settings to sensibly named JSON fields and updates the code to use Pydantic classes everywhere. Takes a few minutes maybe. Manually done the same task would take me half a few hours in the best case and a day in the worst case.
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