gamblor956

All the people who think that LLMs are superhuman weren't very good at their jobs to begin with.

Yes, LLMs will be able to do things faster than a human. They're computer programs, that's the point. But LLMs only produce higher quality output than the humans who didn't learn how to do the tasks well.

At one point, BYD was the top choice of EV buses in the U.S. They were blacklisted by every transit agency in America even before Trump's order because their vehicles were less reliable than the 40+ year old buses they were replacing.

I started my career fixing the mistakes that my clients' former tax advisers made. It looks like the next generation of tax lawyers will get to do the same except this time the former advisers will be llms.

Mass terminations without timely notice, or pay in lieu of notice, are not. Disguising a mass termination as a collection of "performance" based individual terminations is a method that many companies have tried and failed, because...get this...WARN regulations in the US and EU don't care about the reasons for termination unless it's a "for cause" termination and you absolutely need to document the cause for those.

Before someone else jumps in talking about "unit economics": unit economics only matters if you can sell the units long enough to make the initial (capitalized) investment (i.e., R&D) back. Models aren't commercially viable long enough for the unit economics to work.

That's generally not legal in the U.S. or most of the EU. The company would have to establish a very significant paper trail to establish that these individual "performance-based" layoffs were not part of a layoff subject to WARN regulations (or their European equivalents which are even stricter). The hurdle is so large that no company has successfully pulled off such a feat, and many of the companies that tried ended up paying significantly more in penalties to their local Depts of Labor than they would have saved with this stunt.

Given how abysmal Copilot was/is, and how buggy their software has become this year, it's clear that they aren't reaping any benefits from AI usage internally.