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.
π§± #DayBrix for Thorβs Day, 20 Jul 2023: π100% in 107.0 seconds
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#Worldle #545 2/6 (100%) - NB: I cheat on this one because it's as much a learning exercise.
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Framed #496
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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
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.
The Books - The Lemon of Pink (album)
https://music.youtube.com/playlist?list=OLAK5uy_k_12suKsj80puuPHPNoMvGdK7dooD198A&feature=share
Early evening wind-down.

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.
π§± #DayBrix for Wavy Wednesday, 19 Jul 2023: π100% in 339.4 seconds
Don't puzzle on a bad night's sleep.
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Framed #495
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A New Idea for How to Assemble Life
https://www.quantamagazine.org/a-new-theory-for-the-assembly-of-life-in-the-universe-20230504/
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.
There were concerted attempts to solve it in the mid through late 1990s:
https://www.ietf.org/proceedings/43/I-D/draft-ietf-ipsec-pki-req-01.txt
They half succeeded but it has/had major deficiencies. Some political and some regulatory. The idea of decentralisation wasn't on the agenda.
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
The New Pornographers - Mutiny, I promise you
Zion I - Human Being
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)
Big Thief - Simulation Swarm
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.

