Copyright has never required the absence of tools, only the presence of human creative agency.
LLMs don’t change that. They’re just tools. The relevant question is whether a human exercised creative judgment in selecting, shaping, or editing the output. Which I most certainly did. Otherwise my month of work here would have just been a minute and a single prompt and then just grabbing a coffee.
We already handle this with cameras, compilers, spell-checkers, and procedural generation. If you push a button and accept whatever falls out, you may not have authorship. If you meaningfully direct and curate the result, you almost certainly do.
Responsibility still lands on the human, which is a good sanity check: there is no such thing as “LLM-authored but human-unaccountable” work. Pretending otherwise is just outsourcing epistemic responsibility to a stochastic tool. Similarly, you can't both assign blame to me when things go wrong, but credit to the LLM when things go right. Or vice versa.
This is really cool. If you've never seen it before BitCraft is quite a lot like Runescape. Great art style and very crunchy gathering/crafting gameplay.
The developer open sourcing all of this is awesome.
They have, kind of. Check out Gaggiuino. Sadly not really open source (Gen3) but you can get a cheap $500 Gaggia Classic and add fine grained control with an Arduino and display: https://gaggiuino.github.io
Then there's the really open source Rancilio PID Clever coffee project:
I think the point was (and i'm certain my experience is) that with Apple Weather you just don't get the notifications at all (or rarely do) so it's very hard to get a feeling as to how accurate they are.
Yes, this is what I meant. I don't know what the notification thresholds are, so I use the fact that I'm getting a notification at all as a proxy for accuracy.
Got it. Yeah, where I am it's usually pretty obvious that it's probably going to rain in the next hour or two, so I look at the chart to see exactly when. I don't rely on notifications. So for me the accuracy seems the same. But if you're basing it on notifications then I could totally see why you could have a different impression.
I think -- and I might be wrong, since this is from over a decade ago -- that when I first used Dark Sky, I ended up disabling notifications because it would constantly warn me of precipitation, but then when I checked the graph there was none because the model had since updated, and I wound up turning them off. So notification thresholds are probably something hard to get right, and what is appropriate for one geographic area might not be optimal for another.
Back then (2010-2013ish) I was driving a motorcycle primarily so I was hyper aware of the immediate weather and Dark Sky was like magic in that use case.
reply