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John
b7de3b4fcbd0d42fcfa99ad1453fd7cca21d2b1d4f4b2337ca7daa07a51276a5

I'm not going to post these every day. It's basically the first 20 minutes - it's what I do when I first grab my phone when I wake up.

🧱 #DayBrix for Thor’s Day, 20 Jul 2023: 🌟100% in 107.0 seconds

https://vole.wtf/daybrix/

WordAll #490 completed in 2m 20s

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wordall.xyz

Wordle 761 5/6*

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https://www.nytimes.com/games/wordle/index.html

#Worldle #545 2/6 (100%) - NB: I cheat on this one because it's as much a learning exercise.

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https://worldle.teuteuf.fr

La palabra del dΓ­a #560 4/6

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https://lapalabradeldia.com/

Le Mot (@WordleFR) #557 3/6

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https://wordle.louan.me

Framed #496

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https://framed.wtf

Unsigned prints, on the other-hand, well - wait until popular AI created knock-offs appear on Wish. Anti-volume could become the mark of human art. I suppose it always has been to an extent (although many great artists had workshops making copies) and scarcity + desirability will still exist. I just think in cases where there is no scarcity plus popularity there is the greatest problem of attribution and competent mimicry.

Chikinki - Stay Lost

https://music.youtube.com/watch?v=CmdkOfhngkQ&feature=share

Physical, hand made art, will, I think endure because of the wide variety of pigments, styles and brushes, but competent forgery will become easier. The varying thickness of paint to the way it changes in the light are, often, deliberate byproducts of an artist's workflow. The art pictured by Rose-Marie Caldecott because it's the nearest picture on my phone and an excellent little painting on aluminium.

I disagree with a few points in this BBC story (partly some of the assumptions about the size of a potential audience and some subjectivity). The broader point is valid. Substitute art for IP and apply it to *everything* that can be represented digitally.

https://www.bbc.co.uk/news/uk-wales-66099850

Somewhat stating the obvious, but training sets, and lack of data audit trails, are the next big IP brouhaha. Unlike home taping not seriously impacting the music or film industry, everything is going to be laundered and remixed with even less attention, attribution, and credit. I'm not sure the extent to which individuals can fight this one. The productivity difference makes AI assistance inevitable but the idea of any public facing IP being rewritten without attribution (maybe as derivatives from other AI processed data sets) strikes me as unfair and subject to error propagation if the original source material is unduly trusted. I wonder about inaccuracies (and/or) errors in old academic text books and whether they'll be found quicker or slower in the text books we are using now, if they and derivative works are used in training sets. Or will we get more sceptical, which seems like a potential positive response.

Feeling lemony as a result of tinkering.

🧱 #DayBrix for Wavy Wednesday, 19 Jul 2023: 🌟100% in 339.4 seconds

https://vole.wtf/daybrix/

Don't puzzle on a bad night's sleep.

WordAll #489 completed in 2m 42s

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wordall.xyz

Wordle 760 5/6*

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https://www.nytimes.com/games/wordle/index.html

#Worldle #544 2/6 (100%)

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https://worldle.teuteuf.fr

La palabra del dΓ­a #559 6/6

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https://lapalabradeldia.com/

Le Mot (@WordleFR) #556 6/6

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https://wordle.louan.me

Framed #495

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https://framed.wtf

For me, definitely not, there's a clear delineation between laptop between phone. By comparison my laptop is a fortress of solitude, but the phone is subject to random pervasive interruptions. That said, I am the generation that regards all devices with a CPU/memory/storage as a computer rather than a phone, or set top box, or billboard, etc so I'm 100% with you in theory. I think in practice there are restrictions on how general purpose things are and interruptions via WhatsApp or calls (among other stuff). The PS5 runs FreeBSD.

This is great for precesises:

learnxinyminutes.com

No substitute for actually learning something, which generally involves feeling totally lost if it's complicated, or important, enough, and lots of intermediary steps and attention to detail, but websites like that offer good condensed abridgements in plain language and are useful because it's also about knowing where to look and what to look at.

Me to Google: it'd be really coolf if you had a mode where I could fine tune focus for when it's a difficult shot - like animals or kids - like changing focus mode on an DSLR or shutter priority mode plus changing focus mode. Google to me (via software): bee focus roulette is a really fun game, or, at least, it is highly amusing to the AI in the phone.

Good camera. Lots of edge cases. Fifteen attempts later while also trying to convince a toddler no to bury their train set in sand like a cat burying its poop:

Bobby Conn - On The Nose

https://youtu.be/yeo4YbDOXWQ

The New Pornographers - Mutiny, I promise you

https://youtu.be/qygnmTa_N00

Zion I - Human Being

https://youtu.be/K4sBWNkrmBw

Alec Empire on the 60k Mac (me: get a cheap audio interface and any modern-ish cheap PC + REAPER, imho, work out the rest as you go - no magic)

https://youtu.be/Gen5hCHi9I4

Big Thief - Simulation Swarm

https://youtu.be/RnatkV_92Bw

Thus ends this YouTube video series.

I think the assumptions that go into the design of such protocols matter regardless of transparency and what could cause failure is the bias towards the assumptions of the people, or machines, devising the protocols. There are unknown unknowns going forwards and significant enough social change that any fixed set of protocols may have trouble keeping up. A potential solution would be baking change into the protocols but that is, I think, very difficult. I'm not making an argument against open government or protocols or progress just that weather forecasting is difficult especially over the longer term.