Agreed. OTOH, if the question is should I also learn some different way of thinking about music/fretboard, the answer is always yes. If it makes neurons fire, add it to the mix.
Can you pinpoint the revolution by pinpointing moments of invention and release? Revolution takes time because it’s more about uptake, downstream effects, and feedback.
Nice. If I add a primary and then clicking optimize—without first moving the primary—it seem as though there are still only 3 primaries, because the new one doesn't move.
It’s a common metaphor for merging a branch to the trunk. Probably because multiple in-flight development branches create a sort of air traffic control problem.
Not sure where you’re from but it’s not esoteric at all. Here in the US our current administration is constantly vice-signaling to white supremacists to maintain them as a political base, and uses myriad similar winks to do it. One example: in 2020 the Trump campaign ran Facebook ads featuring an inverted red triangle. The opening sentence was 14 words long. They ran the ad 88 times. It’s ok to choose to be ignorant of the implications, but it’s better to maintain situational awareness.
(I’m not saying the game needs to change its name.)
Same, but I blame Musk for that. Never seen someone squander so much good will so quickly. It was a choice he made but could have easily avoided, and it’s not like he couldn’t anticipate the downstream effects.
This is a frequently mentioned criticism. Is there a good argument about why that approach could have been done in the same amount of time? Seems like larger scope and more uncertainty to me.
Is it useful to limit these thoughts to a dictator doing dictator stuff, though? What would be the material difference be between that and operatives of his political party astroturfing local school boards to remove books that teach about the racial history of the country or the existance of trans folk, to make it appear as though the local community decided to do it?
None of that supports the claim that it "isn't controllable," though. A curious mind should probably find it interesting that it can be fallible in those ways yet still be useful for producing work, and ask how both can be true at the same time.
> because the outcome you get from AI isn't controllable. You can give it the best prompts and design suggestions and it'll still give you completely wrong or horribly written code.
I don’t have a dog in this fight but it seems you’re not accounting for iteration and feedback. A horse will veer off of a road if not occasionally nudged to stay on it, but is useful transportation, nevertheless.
If anything, LLMs make it easier to choose from a broad set of options. The tradeoffs are the same as pre-LLM days, but the learning curve is more favorable.