"the tech sector is the most software defined"
AIs don't just make code they make words, images, and sounds. Hasn't worked in those markets either.
AIs don't just make code they make words, images, and sounds. Hasn't worked in those markets either.
Joke's on them, all intellectual work is modelling to some degree, and can be automated in the exact same way with the exact same mediocre results. How long until someone vibe codes a Lean for structural engineering?
That's the reason these profession is regulated. Regulation is written in blood.
Of course, they were written to prevent human errors from otherwise well meaning but possibly clumsy actors. Nobody has a fucking clue what the error envelope of these models actually is, they just use magic words like "apply guard rails" as if there wasn't a whole area of science surrounding error propagation that they couldn't apply because the models themselves are vibe-data-scienced together.
Academia has similar rules to prevent clout farmers and incentivize discovery, though in that case the followers of the machine god have already decided that the human scum must refrain from thinking and instead spend all of their time deciphering the gospel.
Or maybe it was all propaganda, possibly generated by some weird text generator that was recently invented ¯\_(ツ)_/¯
Specifically what exactly is preventing the same pattern of fire competence and force mediocrity to sign off from working in any other area? The risk of catastrophic failure? There's insurance for that, another domain that's a harness around a model (albeit not a large language one, yet).
Yes, but the PE's at engineering firms have the ability to say no and demand redesigns since it's their name on it, unlike programmers.
I frequently see firms design way beyond the bare minimum so that there's no question and it's an easy sign off rather than spending months on a back and forth.
As to your second point, that just means that the training corpus is already designed with a healthy margin of error.
After 8 or so years since GDPR went into effect, its main effects thus far have been annoying cookie banners and assisting corruption (our HoA have cited it as an excuse not to publish various names and contracts relating to maintenance of common property and politicians frequently remember that they have a right to be forgotten whenever there's a scandal nearby).
All the other technically illegal shit happened anyway. I have no reason to believe that the regulators will side with the people and every reason to believe that rules would be something along the lines of "it's too dangerous so you must use a LLM".
We needed something 10 years ago when Cambridge Analytica showed that the consequences of the above are not just limited to the internet.
Google now writes the web standards and TikTok is telling people how to vote. Between the incentives and the fact that politicians don't understand tech, the only thing they'll end up forcing is "hundreds of thousands of untested, unreviewed code for authorized professionals"
What do you do with open source, with the arguments calling software speech?
Very possibly on the way but so less uptake than software engineering for sure.