psadauskas
Joined 18 years ago
Joined 18 years ago
Additionally, it gives business owners a bunch of workers they can exploit, since those workers can't go to the police or report them to the labor board.
> Therefore a computer must never make a management decision
assert_eq foo, bar
to: assert_eq foo, bar if foo == bar> AI has taken away almost all the tedious parts of my job, which is nice. It's also taken away almost all the fun parts of my job, too, though.
Eg, if the tall green pill candy and the red round one both scale by exactly 3px when you drag them, it might still "look" wrong, and get into uncanney valley territory. And that's even assuming the LLM picked the same value to scale when you prompted it to "add a red candy", or it picked a different one arbitrarily.
I've tried making games a few times, or even CSS animations, and I can tell that they don't "feel" right, even if I have no idea why, or what to change. I have mad respect for artists and animators that can manage that, and I have no idea how you tell an LLM "It doesn't feel right when I drag the candies", and have it be able to figure out that a tall vertical candy needs to scale differently on the X and Y axis than a round one.
With an MCP, agents are very tolerant of changes, since each usage is fresh with no prior knowledge, so nothing to break. This allows you to experiment and iterate on the MCP, see how people use it and what gaps you still need to cover. Once it stabilizes, you can lock it down into and API/CLI interface.
I know X can't do Y, that's why I never told it to have X do Y, I don't know why it feels the need to "correct" me that having X do Y is the wrong approach.
That's not what happened, though. Everyone worked the same amount for the same pay, just in more miserable repetitive working conditions, while the factory owners kept all profits from the gains in productivity.
[ my public key: https://keybase.io/psadauskas; my proof: https://keybase.io/psadauskas/sigs/UfD-rNp55sGXER4xsL9MWvRRdSK5yM6E8YwtXlPhr3Q ]