>if so it’s on the order of 10-20%. Nothing revolutionary.

For many businesses that is revolutionary.

Not sure that's enough magic to make the math work for the trillions being invested, but on a ground level within companies even small wins stack up. You may have burned through $1000 without getting much done, but from a company perspective they've probably got an employee with better instincts as to what does or doesn't work

I think the $1000 was worth spending just as a one time experiment. And there are use cases where LLMs are fantastic. It’s great at debugging because tracking down a bug usually takes much longer than verifying it once it’s pointed out.

Where I have a problem is with the FOMO, panic, and mania that has come down from up top. There are people in my company saying that we should be spending 3x our salaries in tokens.

But if you’re in a business where a 20% speed up is revolutionary, there are so many things that have been on the table for years that you could have been focusing on. I’ve seen at least 5 advances over that have happened over the last 20 years with that kind of boost.

That’s probably about you’d get from spending time really learning vim or eMacs.

How does that 10-20% change when the cost of tokens rises to meet post-IPO earnings targets? For example if it increases 2, 5, or 10x, does this 10-20% gain net out? (Rhetorical question)