@mcc @tapafon @techokami they recently put out an RC that didn't compile on that obscure little used platform amd64, so i'm not sanguine it's clear of the slop

lkml.org/lkml/2026/10/13/1619

gregkh's second is sasha levin, Nvidia sloperator who was one of the guys who spent the last year pushing slop into the kernel as hard as possible

@MaddieM4 @glyph When coding LLMs first came on the scene, and people were recommending them for, like, generating kubernetes yaml, my take at that time was: If a language processor is the best kind of automation that can be applied to this problem, then that's a scathing indictment of our profession. If you want to automate something, there's still nothing better than a program, and we all know how to write one.

Attention: We currently advise against upgrading to Forgejo 17.0.0. An issue is currently being investigated that prevents pushing, merging, or other code operations in some cases.

If you haven't updated yet, please wait until the issue has been investigated more thoroughly, if possible.

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I joined the @coopcloud intro call last night and feel like I understand the proposition much better now. It's not just an extra layer on top of docker compose, it's a common library for public infrastructure providers to share and a network for those providers to work together under.

It looks like it wouldn't take much for me to migrate my stuff over to using coopcloud, and then I'd be contributing bug fixes to the commons rather than just maintaining my own stuff.

The downside being reliance on Docker (a commercial product) and Linux (increasingly slopified). But I feel like we're not getting away from either of those anytime soon

In-depth article by Linux Magazine on the Fediverse with interviews with Ivan and Mayel from @Bonfire and @cwebber

A good read to share

- About the Open Science Network, the archipielago set-up and the Jacobin.de case (all Bonfire)

- About the ActivityPub standard with federation between servers and client-server with the apps

- About living systems that are brought in by sensor networks about which the neighbours can have conversations.

- About solidarity networks. Such as @coopcloud – a community first and a set of
deployment tools and recipes second - of which Bonfire and also the #DemocraticTechFund are members

- Also about how #VentureCapital money typically results in shiny but extractive businesses that turn into an #enshittification process to return maximum profit to shareholders. Instead we can have networks of community centred ventures and cooperative platforms, such as @SocialCoop. And public funding channeled through e.g. @nlnet

nlnet.nl/media/Digital-Autonom

Horror has always been a political genre. So, for October, we've compiled a list of 13 horror films and some suggested reading to go with them. Here's part 1 of 2. What would you add to the list?
Get 40% off select titles with code HORROR thru 11/1 here: pmpress.org/category/horror-is

RE: unstable.systems/@jneen/116618

Worth looking at both the quoted text here and •especially• the linked page, which is quite good.

I’ll add another item of my own. The first screenshot mentions giving an LLM the task of “implementing an HTTP server in JavaScript from scratch” in 90 minutes. Sounds impressive, right? Until you remember that every open-source Javascript HTTP server in existence ••was in the training data••.

1/

It’s just •astonishing• how many eye-popping stories of LLMs doing amazing omg-verge-of-magical-superintelligence things turn out to be just unvarnished plagiarism.

In the first months after ChatGPT’s release, I remember a French dept colleague being amazed that GPT could translate and summarize a passage of Le Petit Prince.

It was a lot less impressive when I dug up the 2 or 3 online passages which it had copied almost verbatim and stitched together (sprinkling in a couple of extra words that made it less accurate).

3/

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Periodic reminder: 404 Media is the same Vice bros who broke their confidentiality agreement with Naomi Wu and put her in danger to satisfy the prurient interests of the Gamergate crowd.

Don't be surprised when they run slopaganda pieces. These people are not our friends, even if they are doing some useful reporting too.

There are so many reasons to deny the reality of climate #collapse:

"In the face of extreme climate risks, I am under pressure to cut my forecasts for the losses that disasters will cause in order to make insurance more affordable – and get my employer more business."
theguardian.com/commentisfree/

One thing I'm only just now appreciating is how the shift to "agentic AI" serves to undermine any privacy benefits you might get from using a local model. Maybe the model isn't sending every prompt back to a data center, but if you're handing tasks over to agents, then they're likely out there leaving a trail of data all across the internet — and maybe with a preference for sites that filter back to the model vendor.

RE: mastodon.social/@lobsters/1174

“Matt Mullenweg Orders Accessibility Revert, Tells Core Committer to “Contribute Your Talents to Another Project” - The Repository”

therepository.email/matt-mulle

> Days after six years of accessibility work finally landed in core, Matt Mullenweg ordered it reverted, and Andrea Fercia’s WordPress.org account was briefly banned.

the reason that every consumer model takes great pain to hide raw "thinking" output is that if you actually see it then the entire illusion is broken and you see that what is actually happening is the worlds most expensive brute force process exploring every statistical linguistic possibility like an amnesiac dictionary before eventually taking a wild leap of chance back into its next hail mary execution. Every skill prompt for muse that's about introspection describes exhaustively how no thinking/reasoning text can be returned from it, but it's just right there in the filesystem. Claude code never even returns the true reasoning output to the client - it actually returns another LLM summarizing the thinking output as the commentary text. For every token you see, a thousand random wander tokens are emitted, and the token economy of Muse is the next escalation, if the amount of heat energy needed for a unit computer thing used to be a gas stove, Muse burns an entire star to deliver something sorta kinda resembling a unit computer thing

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#WritersCoffeeClub – 16th Oct. How do you feel about people reading your works without buying a personal copy?

Long-standing publishing lore is, there are roughly four readers per book sold. This includes library loans, second-hand sales, and friends borrowing books. This is normal.

I don't get mad at warez sites (most downloads go unread, most readers wouldn't have bought one), but I *DO* get enraged by pirates who re-list and sell my ebooks on amazon (they're stealing income from authors).

“Georgia’s Building Boom for Data Centers Comes With a Cost for Schools: $300M – The 74”

the74million.org/article/georg

> The organization estimates that the losses in some of the state’s school districts would range from $3.6 million in Newton County to $35.5 million in Gwinnett County, the state’s largest district.

Turns out AI can cause more problems than it solves. Cleaning up AI slop is one issue. 36% of AI execs at companies with $1B+ in annual rev reported an AI incident that led to data loss, financial damage, brand damage or operational disruptions. Major companies are now limiting employee AI usage. theguardian.com/technology/202

“Make Shift”

2ndbreakfast.audreywatters.com

> What ed-tech has forgotten to prepare students for: their present lives. Their humanity.

Forget a billionaire's algorithms, use RSS. Most sites have them.

Both the Thimbleweed Park Blog and Grumpy Gamer do. Full text feeds.

I've been using and serving RSS since 2005.

All the cool kids are doing it.

toolbox.rss.here.now/

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