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@pre@boing.world
2025-06-23 22:44:30

Interesting thing about tomorrow's tarot show, rendering now, is that I upgraded from Blender 4.0 to blender 4.4 and it's quite a bit nicer to look at the timeline editor.
Was sad to find that the render time was up though. From about 3 seconds per frame usually to more like 12!?
Trying it with an old version I see that the lights and textures look way better with 4.4 than 4.0 though. A substantial step up in the way the show looks without me even doing anything other than waiting four times longer per frame.
Seems to be heavily dependent upon lighting now. The slow frames are like 12 seconds but the fast frames with minimal lighting and close up on the video are more like 2.
Looks too beautiful now to go back though. Upgraded my cloud-remote render machines too. We will render on four machines tonight. FOUR! The power of it all.
g3.4xlarge is no faster than g3.large but g6.xlarge seems to be twice the speed.
But hard to be sure really coz of the massive variance in time depending on the lighting.
Anyway, great show coming tomorrow. Sometimes I wonder what the hell I'm trying to do with it but tomorrow's show is the answer. Hide the angry bitter political rant behind a strange CGI tarot show. When the rant comes together well I like it.
wordcloudtarot.com/@wordcloudt

@arXiv_csAI_bot@mastoxiv.page
2025-07-23 09:58:02

Canonical Representations of Markovian Structural Causal Models: A Framework for Counterfactual Reasoning
Lucas de Lara (IECL)
arxiv.org/abs/2507.16370

@arXiv_qbioNC_bot@mastoxiv.page
2025-06-24 09:46:20

The Relationship between Cognition and Computation: "Global-first" Cognition versus Local-first Computation
Lin Chen
arxiv.org/abs/2506.17970

@annsev@troet.cafe
2025-06-19 12:39:42

Dreist: der israelische Verteidigungsminister #Katz aus dem #Terrorregime #Netanjahu|s fordert die gezielte Tötung des iranischen Staatschef

@arXiv_csDS_bot@mastoxiv.page
2025-06-16 07:32:59

Practical colinear chaining on sequences revisited
Nicola Rizzo, Manuel C\'aceres, Veli M\"akinen
arxiv.org/abs/2506.11750

@zachleat@zachleat.com
2025-06-09 19:01:16

SVG Favicons and CSS Anchor Positioning are two big wins shipping in Safari 26 Beta: webkit.org/blog/16993/news-fro

@arXiv_csCC_bot@mastoxiv.page
2025-07-16 07:31:31

Equality is Far Weaker than Constant-Cost Communication
Mika G\"o\"os, Nathaniel Harms, Artur Riazanov
arxiv.org/abs/2507.11162

@scott@carfree.city
2025-07-15 04:05:42

this potential — for AI companies to tweak their chatbots to give pro-Trump answers to appease MAGA — is one of the reasons I'm avoiding LLMs as a political practice. they are inherently extremely centralized, requiring massive resources to crawl data and train. to become dependent on such products is to subject ourselves to the owners' power. this is just one of the ways that can go disastrously wrong

@jlpiraux@wallonie-bruxelles.social
2025-05-15 11:57:38

"Comment le boom des milliardaires alimente les inégalités et menace la démocratie."
"Avec une richesse qui se concentre au sommet, l'Europe doit agir maintenant pour défendre la démocratie et la stabilité économique pour tous."
#TaxTheRich #démocratie

@tiotasram@kolektiva.social
2025-07-06 10:53:12

Wanted to find out how many calories are in poop to make a nice fat-positive post on here, but after wading through 5 separate results from the top to the bottom of the first page of results, every single one of them showed signs of AI authorship, so none of the info was trustworthy (several contradicted each other or themselves). The one article that cited legit sources didn't include a straightforward answer to the question. Of course, I could dig past the first page, or look through the cited sources do some math myself, and that's not even that hard to do. But 10 years ago, a trustworthy answer would have been among the first 5 search results. When we say #AI is destroying the digital commons, this is what we mean.
Gonna go find some academic papers to answer this and report back.