What I've ultimately converged to without any rigorous testing is:
using Q6 if it fits in VRAM+RAM (anything higher is a waste of memory and compute for barely any gain), otherwise either some small quant (rarely) or ignoring the model altogether;
not really using IQ quants - afair they depend on a dataset and I don't want the model's behaviour to be affected by some additional dataset;
other than the Q6 thing, in any trade-offs between speed and quality I choose quality - my usage volumes are low and I'd better wait for a good result;
I load as much as I can into VRAM, leaving 1-3GB for the system and context.
Oh, forgot about healing wells, thanks for the reminder. You should probably be able to throw the ankh directly too? But I don't encounter them every run (e.g. didn't have any this one) so they aren't reliable.
I know ascending is easy (did it many times, though only with 0-1 challenges, none of them Swarm Intelligence) and adds a 1.25 multiplier and I'll do it when I go for that badge - but I didn't plan for it (thought 6 challenges would be 2-3x harder than it turned out) so I wasn't prepared to ascend this run. I'd have probably died in the 21-24 zone.
So you think it should be On Diet? Hmm, maybe. But exploration with both On Diet and Into Darkness will be challenging.
The rest of the instructions are all valid n-controlled Toffolis and Hadamards, but of course mostly Toffolis since it's replicating a classical algorithm. There is no quantum advantage, it's just a classical algorithm written in a format compatible with a quantum computer.
Add small errors to the quantum simulator (quantum computers always have those) and all'll break entirely - apparently (1) no error correction was used and (2) it's just logic gates for Doom rewritten as quantum gates. No wonder the author got bored, I'd be bored too.
For me specifically, if spoilers hurt a book, it probably wasn't worth reading in the first place. I love when authors demonstrate mastery of language and narration, and no amount of spoilers can overshadow the direct experience of witnessing it enacted.
ChatMusician isn't exactly new and the underlying dataset isn't particularly diverse, but it's one of the few models made specifically for classical music.
Both work very well for the entire journey there and back. I use the first I get my hands on (typically scale armour) and upgrade it to +8. But if it's plate armour, you might have to start using it before gaining the necessary strength, so be ready to spend more time and food on a few levels in the prison area.
I enjoy xenharmonic music and modern academic music the most, but I'm not familiar with everything there, so any recommendations are welcome if you, reader, have something in your mind.
Because we have tons of ground-level sensors, but not a lot in the upper layers of the atmosphere, I think?
Why is this important?
Weather processes are usually modelled as a set of differential equations, and you want to know the border conditions in order to solve them and obtain the state of the entire atmosphere. The atmosphere has two boundaries: the lower, which is the planet's surface, and the upper, which is where the atmosphere ends.
And since we don't seem to have a lot of data from the upper layers, it reduces the quality of all predictions.
Thanks! I now see that Tai Chi is mentioned frequently online in context of the film unlike yoga so that should be right; it narrows things down.