I'm still wondering why the emphasis on the blues scale. Wouldn't knowing the mixolydian (good for building dominant chord) and aeolian (good for natural minor) be more complementary to the current scales?

I like the way it sounds, and so far these are the only ones I have learned :)

The way the sheet is printed out makes it easy to add/remove scales once I feel more comfortable with them.

John Cage 4'33"

The extended play Ibiza techno version is better /s

Not the version with authentic Renaissance instruments, in just tuning with elapsed time measured by sandglass?

While I find the bardcore variations of Cage's classic sublime, I fear the eructation of pigs and micturition of plowhorses is not for all :/

Hildegard Von Blingen gave it a red hot shot ... ruined by that bloody nun in the cloister that wouldn't shut up: https://www.youtube.com/watch?v=C9K9PfjRjxM

ta! that's a deep cut; I'd not gone much past her collaborative Gesamtkunstwerk: https://www.youtube.com/watch?v=Nx-x_1lIXh4 (arrived at via https://www.youtube.com/watch?v=gcrQvoCzs80 )

> the eructation of pigs

I had not realised Ignatius J. Reilly was not the only rotund creature to suffer from misfunction of the pyloric valve.

When the pigs start to quote Boethius we'll have to start counting legs on our medievalists to tell the difference.

Alice in Wonderland - I read it once a year, just to remind me of how interesting imagination and paying attention in little things can be.

I'm also thinking of going back to The Plague by Albert Camus. It felt really surreal when I read it over the pandemic. Want to see how I would feel now that COVID has become an endemic disease.

It's a pretty long read though. I wouldn't want to put myself through it again...

I'm keeping my ChatGPT Plus and Coursera Plus subscription for next year. Will likely cancel most of the other subscription to art and video generative AI.

It's starting to get more attention in the healthcare sector.

The good thing is, you will probably remember that one good one and forget about unsuccessful generations; just like how a gambler will only remember that one time he won something, and never talk about most of the time he lost.

The same is usually true for "human" inventors. I mean not forgetting or gambling, but having many unsuccessful attempts with probably a single good outcome. Recently read "Reinventing the wheel" by Steve Kemper (also known as "Code name Ginger" about Segway development), the funny term for this from Kamen himself was "frog kissing".

My 3 go-to app this year, after I give up a phone for a tablet, are MoonReader, Paperpile and Google Colab. MoonReader for book reading (lots of great textbooks this year on data science), Paperpile as reference manager (and pretty nifty way to share too), and Colab for coding on the go.

The other essential tools are a good fountain pen, a good notebook and a bottle of water.

Because of reinforcement learning. The reward model add more value for output that sounded formal and professional, and penalise those that are more casual or incomplete.

You can finetune it to change the behaviour somewhat. But ultimately, there will be that AI flavour that you can't get rid of because of the way the LLM is trained.

Seconded. There are a lot of great communities on Stack Exchange, beyond Stack Overflow. I pretty much ask a lot of "stupid" question on Cross-Validated all the time.

Stack Overflow has one of the worst communities I know of, if you can even call it a community, but the Stack Exchange ones are amazing.