CC: @occult@ominous.net

Friendly periodic reminder that snac is a great, great piece of software.

I've upgraded #FediMeteo in minutes, recompiling snac *inside each jail*.

The Fediverse, as the Fediverse should be.

https://codeberg.org/grunfink/snac2

#snac #snac2 #Fediverse #OwnYourData

CC: @uoou@fedi.friendo.monster @cody@catboy.baby

Boost if you agree. Let them know we know they don't really care about us!

#eu #europe #evropa #sad #fediverse #fediart #mastoart #comic

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panel from "Zimmer Saves the Union"; brank is cutting up a flag and glues stars to his collage

Every post/reply about AI you write should come with a link to a reminder that LLMs:
- Are for-profit plagiarism machines that have cannibalized the internet
- Come at a serious human and environmental cost
- Can't be trusted and create real IP problems, AND
- Can make you dumber if you stop thinking for yourself

#ai #noai

#ai #antislop #antiai #art #fediart #mastoart #comic #artwork

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A doodle by Ángel Ortega with a cat dropping a jar labelled AI from a table

NEVER FEAR THOSE WHO SPEAK TO COMPUTERS EVER AGAIN

#ai #antislop #antiai #art #fediart #mastoart #comic #linux

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never slop; see slop? call it out! join the #neverslop kitto gang! KILL COM PUT ERS; 2026 neverslop gang

NEVER SLOP

#ai #antiai #antislop #linux #cat #kitto #comic #art #mastoart #fediart #tutorial

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NEVER SLOP KITTO #neverslop

je to zdarma, používá se to tak, že to pošlete někomu, kdo nahrál slop, nebo obhajuje slop, mluví s počítači, a podobně.

Prosím boost, díky moc ❤️

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NEVER SLOP CZ

#noai #ai #slop #antislop #hellokitty #art #comic #llm

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never slop hello kitto

most #mobilek fans don't know about his son who appeared briefly in an episode of Simone

#unix_surrealism

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Mobilek's son asks simone "Did you read Sartre?" Simone is there with her kids and her sister Claudia, who's doing something on a computer.

CC: @danimo@kolektiva.social

Japanese Jesus did invent logging off and turning off the computer though.

CC: @coolbean@brain.worm.pink @hwll@sunny.garden

I’m taking these to @cebulacamp all money go to:

1. printing this issue,
2. printing future issues,
3. building my ego.

You can also buy it online here: https://ko-fi.com/s/0850ff2a1d .

You can also bootleg it if you don’t want to give me money, it’s CC0.

You can read it online if you don’t have money, it’s free: https://kamiokan.de/entropysrotoscope/issue1 .

#entropysrotoscope #kamiokande #unix_surrealism #comic #art #noai #fediart #mastoart #cebulacamp

RE: https://donotsta.re/objects/bb14e20a-1b37-45c7-99af-e30c8686a1ce

Tomáš boosted

it's pronounced 'yagoda' [she/her] » 🌐 2026-08-22 / 2026-08-22
@j-g00da@donotsta.re

You can now buy a printed version of Entropy’s Rotoscope #1, available in A4 and A5 format.

Get it either on ko-fi: https://ko-fi.com/s/0850ff2a1d or send an email to eigengrau <at> kamiokan <dot> de or just meet me on some event, I will take these to cebula camp and c3 (by c3 I hopefully will also bring issue 2).

#art #comic #unix_surrealism #kamiokande #entropysrotoscope

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Entropy's Rotoscope issue 1 comic print, in A4 and A5

@angel @ricardo the problem is that they basically dropship the tshirts from whoever works with them and is closest to you, they will 100% send you a good one if you complain.

https://storyseedlibrary.org/

(Via @alxd@writing.exchange)

@MediaActivist is it okay if it's free?

I mean, I can charge you if you want.

https://storySeedLibrary.org/ ;)

For those in the UK puzzled why we Americans are so distraught over the passing of Dolly Parton: try to remember how you felt when you heard Queen Elizabeth had died. Then imagine how much worse it would have been if Queen Elizabeth had ever helped anyone

"L'erba cattiva non muore mai"

But, really, what is happening, the ratio of good people / scumbags dying is alarming.

it will be available in print sometime in the future.

CC: @totoroot@ibe.social

As a footnote to this, there *are* animals with absurd regenerative powers: Salamanders can regrow limbs, as well as pretty much any non-lethal organ damage. Virtually anything that doesn't kill a salamander ... doesn't even make it stranger, it just makes it hunker down for a while and regrow. This is because cells at injury sites can actually de-differentiate into stem cells, and then form a new limb using exactly the same process as in embryonic development.

This is likely to be an ancestral ability! But amniotes (the shared lineage of reptiles, birds and mammals) appear to have lost it, in place of a much more aggressive and complex immune system (which would attack and destroy de-differentiated cells).

Frogs are a strange halfway example: In adulthood their healing (and immune response) is a lot more like that of a reptile or mammal than like that of a salamander - their cells lose the ability to de-differentiate, but instead develop the ability to rapidly close a wound by forming scar tissue. As tadpoles, they regenerate just as well as salamanders.

král mechanik mezi roboty

#unix_surrealism

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king mechanic among the synthetic it's a picture of a person crouching with limbs entangled

#artwork

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A doodle by Ángel Ortega with a dream-like scene including a tree, a robot hand, a skull with spider legs, a rotary phone and an old-style car falling from a cliff

#process

the pmjv (parkinson's faux layer) method

#art #tutorial #unix_surrealism

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the pmjv (parkinson's faux layer) method use the background color to erase, but sparingly sketch red - this is the bulk of the picture. approximate thickly. detail blue - draw over it adding detail and filling gaps. run it pink - trace the whole thing leniently channel parkinson - especially on the top and bottom layers. do not be careful. each layer is meant to thicken the lines beneath it grab all the 3 colors and fill them black -> free shading do not touch it anymore!

previously

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pmjv appreciation thread

The good news: we're seeing more article pitches lately for LWN.

The bad news: yep. They're almost certainly LLM-generated from people clearly hoping they can low-effort a quick (small) payout.

This, my friends in the LLM-enjoying community, is just one reason why so many people really have strong anti-LLM feels.

Because for every "I only use LLMs responsibly" person, for every "I just use LLMs for personal projects" person, and for every "I know my stuff and can review LLM output" person, there is at least one prompt jockey looking to use LLMs for quick wins without any concern for the people who have to wade through their slop.

And, I don't care how much LLMs improve, it *is* slop when it's just some person shoveling in prompts and hosing the output at other, unsuspecting and unwilling, people.

i love seeing creative qr code designs, so i made this guide explaining what tricks you can (and can't!) do with qr codes while still keeping them very much readable

have fun and make cool stuff!!

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(ADVANCED) Guide to (not) fucking up qr codes ...while still making them look cool asf! by Lyra Rebane (1) Just have the QR code as-is, works the best! (2) But leave some white padding, otherwise some scanners can't scan the code! (3) Recolor the code using a light and dark color! (4) But don't invert the colors, some scanners can't handle this. Everything tested with: GrapheneOS, Samsung, iOS, Binary Eye Page 1/4

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(1) Depending on the error correction you can cover up to 30% of the data in the QR code. This will make the QR harder to scan, but it should still work on all scanners. (2) But this only applies to the data and ec (green). You can also cover one of the format info parts (yellow) (3) Counter-intuitively, it also only applies to entire codewords (bytes) at once. Therefore you should make sure to never mess up over 30% of the codewords, even by a single pixel! (4) For example, I added a sneaky one pixel thick worm onto this QR code, which makes it unscannable! (5) But this QR code I added that chonky snake with a pride scarf onto remains perfectly readable! Page 2/4

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(1) To scan QR codes, scanners will first find the three locators (blue) and then use the zebras (red) to create a grid over the code. (2) This means that you can stretch, skew, or rotate your codes because the grid still stays intact! Don't go too overboard with this, as some scanners can't handle extreme transformations. Pretty much just make sure that straight lines can still be drawn! (3) However, transformations that don't retain the grid - such as bends - can make the QR code unreadable. Keep this in mind when putting your QR codes on curved real world objects, such as posts and pipes. (4) If you need to draw curved lines for a grid, the code cannot be scanned. Note: the GrapheneOS stock Camera app might struggle with certain skews/rotations Page 3/4

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(1) QR code scanners use the grid to pinpoint the center parts of pixels, which means that the rest of the pixel does not matter! (2) This means that you can shape your pixels however you want, provided that the middle stays unchanged. (3) Or you can fill the rest of the QR code with a different image or even pure noise! Note that a QR code like this could break after resizing or image compression, so use with caution! (4) As with the other tricks, this reduces scannability, so make sure to test it with multiple devices, especially if you’re combining all of the tricks into one ultra QR code! (5) This example still scans, but may not work properly or reliably everywhere! Page 4/4

Good morning Mastodon ☕

Friendly reminder:

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the boots you lick will stomp you too

#artwork

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A surrealistic doodle by Ángel Ortega with bloody horns, a raven, a pile of skulls, a catwalk and other debris

ADDRESSING THE ALLEGATIONS

if you enjoy my art, please consider supporting it financially.

https://liberapay.com/analognowhere
https://analognowhere.redbubble.com

Thank you!

#unix_surrealism

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LIST OF ENEMIES: qrstuv

THEODORE ROOSEVELT SHOT BY CRANK IN MILWAUKEE STREET

#content_review #unix_surrealism #fediverse #loops #mastodon #lemmy #art #mastoart #javascript #cats #snac

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Funhole Content Review FEDIVERSE I HAVE A DREAM 'you need to enable javascript to run this this app.' How to make it big? You don't @mmtmm pls sponsor me How to get more boosts? Cats. so many rabbits LOOPY CONSPIRACY - Who is behind the manufactured fame of a tiktok clone nobody asked for? THE C BANSHEE: What is snac and should you be worried? FEDIVERSE MENACE: HAVE YOU SEEN THIS MAN? hackers.town: Is nowhere safe? ONE FREE ANTI-SLOP KITTO THE LIST: 50.000 mastodon addresses to avoid if you don't like illegal content.

CC: @occult@ominous.net

The following is a valid DOS COM executable that prints "HELLO" in the lower right corner of the screen.

You can copy these emoji into a text editor, and save it as EMOJI.COM. it should be 141 bytes.

It will run in DosBox-X, with the following options:

cpu cputype=8086
machine cga

🐸☺️🐰🐎♐🗃️🧯🧯🧯🐮💗🦮🪏♐🐰🐹🗃️🧯🧯🧯🧯💗🪗🧯😗🧮🫪😗🧮😗🐮😪😔⭐

may god have mercy on my soul.

@juergen_hubert

By the bubble, or by the bubble bursting? 'AI' has had little impact on most industries, which is one of the major signs that it's a bubble: if it were significantly improving productivity outside of a handful of niche cases there would be some possible justification for the $3T sunk into it.

The bubble bursting is a very different story. My back of the envelope calculation on the US stock market was that about $30T was overexposed to the AI bubble. I've seen people who actually know what they're talking about with numbers between $15T and $40T, the consensus seems to be around $20T.

That's somewhere between a quarter and a half of the total value of the US stock market that has a significant chance of evaporating when the bubble bursts. Even if it's 'only' $15T, that's going to cause an enormous liquidity crunch. Any business that's dependent on being able to get loans to grow or on customers having free cash to spend is likely to be affected.

For reference, the Wall Street Crash, which triggered The Great Depression, involved around 50% of the value of the stock market being wiped out in the first crash and a total of 89% over a bit more than two years, but that was in an economy where far less was linked to the stock market (for example, few people had pensions that were linked to the stock market).

My question is not how bad the crash is going to be, it's whether the rest of the world can sufficiently firewall the USA so that the crash is mostly contained there. Preventing contagion when there's a massive liquidity crunch requires international cooperation. Trump is incapable of cooperating for the common good, or even for the good of the USA: he'd happily let the US economy burn if it made him and his friends a few billion.

@briankrebs The amazing thing is: none of this is even slightly hidden. Everyone investing in it knows it's a bubble. None of his warnings are even slightly surprising to anyone who has been paying attention for the last two or three years.

But that doesn't matter because you can make money in a bubble as long as you get out soon enough. I posted about this in another thread, but a lot of 'investors' are 'gambling with the house's money':

They jumped in early. When things in the bubble doubled in value, or maybe a bit more, they cashed out their initial investment. After this point, there is no way that they can lose money. Maybe they invested $10 M in NVIDIA in early 2016 and sold $10 M of NVIDIA in late 2016, still holding $10 M. By 2024, it was an obvious bubble. If they sold half of their stock then, they'd be $350 M up. No matter what happens with the bubble, they've made $350 M in eight years with $10 M in seed capital. That's over a 45% average annual RoI. If the bubble continues to grow and they cash out at the right time, they may make another half billion or more, but if the bubble pops so badly that NVIDIA goes bankrupt, they still made $350 M.

This is the opposite of the 'betting on the margin' that smaller investors do before catastrophic crashes (the Wall Street Crash in the 1920s and Korea last week), where you borrow against your existing investment and invest more based on that, but often both are happening at the same time and these are the people funding the big payouts to the former category.

@junesim63 There are a few things I disagree with in this:

First, a couple of small nits, it says:

The big tech companies have spent $1 trillion on capital investment since the start of the AI boom

That's a very low estimate, most estimates are closer to $3 T.

First, there’s too much competition among US LLM providers. It’s not just ChatGPT and Claude now – Gemini and Copilot are nipping at their heels

There's some conflation of models and end-user products here, which is important because it hides the shape of the supply chain.

But then we get to:

And the world will be left with hundreds of massive data centres without enough customers. Compute will become extremely cheap – just like accessing the internet did after the telecoms companies spent billions competing to lay fibre optic cables in the 1990s.

Accessing the Internet didn't immediately get cheap. Companies laid a lot of fibre. This was very expensive to do and had low returns. These assets became available cheaply. Those assets were useful because it's easy to light up dark fibre. The equipment at the ends that you need to provide (and which can be a newer technology than was available when the fibre was laid) is much cheaper than digging up streets or laying very long runs of fibre between cities. And most of that fibre is still useful 20+ years later, with an expected lifespan of 25-50 years.

'AI' datacentres are not like this, for several reasons:

First, they are very expensive to operate. They're measured in GWs: even if all of the capital is a sunk cost that you can write off, the cost of simply turning them on is enormous. That sets an absolute lower bound on the price. And, because they're such massive grid consumers, they're likely to be blocked from that much consumption as soon as the hype wave's marketing shield wears off.

Second, the GPUs wear out. The average lifetime for NVIDIA GPUs in these things is estimated at three years. So even if you buy one for pennies on the dollar and can afford the electricity, it won't stat working at maximum capacity for long. And those GPUs are aggressively tailored for specific kinds of ML workload. Even if they're basically free, they are unlikely to be the most cost effective way of running any other kind of workload.

Finally, these datacentre designs are very specialised. These kinds of machine-learning workloads are incredibly memory-sensitive. This means that you need to put very fast memory next to very dense floating-point compute to get performance. This, in turn, means that it isn't just enough to have a lot of power, you need a a lot of power per rack. That places a lot of strain on cooling and makes it very expensive to cool. If you're building a datacentre for any other workload, that's unnecessary. Land is not that expensive in the places where they're built, so you build at a much lower power density, which reduces your cooling costs.

It's not at all clear that refitting an 'AI' datacentre to be a useful datacentre will be cheaper than building a new datacentre from scratch. If you visit the outside of Taipei, you can see the history of semiconductor fabrication because it's always been cheaper to build a new factory than refurbish an old one. 'AI' datacentres may well end up like this.

The boom will get going again after the bust – with valuations returning to more sensible levels. A few of the massive tech companies will buy up the remnants of the others, leaving the market even more concentrated.

There are a lot of assumptions here. Currently, we are seeing that the market for these things is around 1% of the cost of building and running them. Training an LLM costs an enormous amount. Companies are basically eating those costs because they expect to be able to make it up by charging for access to the models. And they're also losing money providing the models as a service because they're expensive to operate.

After the bubble bursts who will fund training of new models? Old models gradually use utility (people are already complaining about LLMs that don't know about anything that happened after 2024 because that's the end of their training data set). If inference is not bringing in as much money as it costs to operate the systems, who will continue doing it?

And, when the 'it will massively improve your economic competitiveness' claims are proven to be lies, will governments keep giving companies a free pass from massive copyright infringement?

If you want to claim that companies will keep selling these things after the bubble bursts, you need to answer these questions.

The economics of LLMs are terrible. They have high costs to train (capex) and high costs for inference (opex). The most successful things in the market generally have a different mix:

High capex and low opex means ahigh barrier to entry for new competitors but then increasing profits the larger you are. Microsoft, Google, and Amazon's core products all look like this. The best products in this case have per-unit opex that drops as you increase the number of units, because even a new company with the same amount of up-front capital as you isn't able to match your price without losing money until they have as many customers as you.

Low capex and low opex means things become cheap commodities. They will often become ubiquitous, but generic. It's hard to gain a dominant market position because it's trivial for a new competitor to pop up. A lot of consumer goods look like this.

Low capex and high opex often survives as boutique services. Things like Michelin-starred restaurants: easy to create (lease a building), expensive to operate (hire some very expensive staff).

But there are very, very few examples of things where the capex and opex are both high becoming major parts of an economy. Private jets, for example, are in this class and they're a tiny niche in the corner of travel.

Wealth and power will become even more concentrated, as the largest tech companies buy up their defunct competitors, before leveraging their control over the technological infrastructure that most other businesses require to function

I suspect the latter part of this is misdiagnosed. Big tech firms are massively over leveraged at the moment. NVIDIA has loans that amount to more than its pre-bubble valuation and its current valuation is predicated on completely unattainable growth. It makes sense only if you imagine that it's a company that will, over the long term, be able to sell more than 10x as many chips as Intel at its peak. When these companies' stock prices collapse, they're going to find it very hard to raise money for anything and they won't be able to buy companies with their stock (that's partly why they're on a buying spree now).

The people who will make money are the people who have other liquid assets. Either cash, or things like real estate that they can borrow against as safe assets when the bubble bursts.

would you like to play a game?

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Anna Karina and Jean-Paul Belmond in 'Une Femme est Une Femme' (1961) dir. Jean-Luc Godard caption reads FUCK SOCIAL MEDIA MARRY FRENCH NEW WAVE CINEMA KILL AI

my fellow european sibs, here is my unbiased review of w.eu, i mean w.social, i mean wsocial.eu 👍

#eu #wsocial #w #unix_surrealism #mobilek #phone_bad_book_good

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it's a bluesky instance that you can't use without a mobilek mister mobilek is in a pokit

Entropy’s Rotoscope Issue I; new page everyday starting today: https://kamiokan.de/entropysrotoscope/issue1

RSS: https://kamiokan.de/entropysrotoscope/rss.xml

Support me on ko-fi: https://ko-fi.com/j_g00da

CC0 / Public Domain

#unix_surrealism #comic #art #entropysrotoscope #kamiokande

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Comic cover, text: Entropy's Rotoscope Issue I, kamiokan.de/entropysrotoscope CC/0 2026. A girl with a laptop looks at a humanoid computo, it talks to her but she can't hear it, she has headphones on!

CC: @yassie_j@transfem.social

@RootMoose snac is great. Mastodon is good, but yeah, it's big. littleFedi will be added to the list as soon as it'll be ready 😉

A Jump in My Chair

https://my-notes.dragas.net/2026/07/27/a-jump-in-my-chair/

#MyNotes #Blogging #Memories

There are nice things in this "timeline", so let's find opportunities to be grateful!

#snac2 #fediAdmin #mentalHealth