That’s a cool comment from an alternate universe where there is both a strong social consensus and sufficient strike funds to wage labour action against the use of AI for work. Sounds nice over there.

Of course you should resist. I would prefer it if OP wouldn’t sell out his data for AI training, but I can’t reasonably demand that he would rather become destitute than support AI. Especially if he is dying on this hill farily alone.

While there may be popular opposition against AI datacenters, the same can not be said for the encroachment of AI on society in general. Many of the people we would need for a mass anti-AI movement are compromised by “convenient” chatbots or income based on the AI bubble. This will not be the case forever, but you need to realize when the cultural force is not behind you and shape your resistance accordingly. Right now that may mean, lay low, consolidate your allies, persuade people, and be ready for when this stupid doomed technofash project collapses under its own weight.

For me the good points were about avoiding unhelpful purism and being compassionate with people who were pushed to using genAI for understandable reasons. I found it helpful for being patient with loved ones who aren’t quite the firebrand that I am.

As far as your problem is concerned, I’d say don’t bother. If you are forced to interact with AI for economic reasons, I think it’s healthier to be proper pissed about it rather than some forced conciliatory bullshit.

I don’t think AI is going away by not using it.

I don’t agree this is what the video said. It’s about compassion and little steps to untangle people’s brains from LLMs. In no way does that imply, that not using LLMs yourself is not the superior option. (Notwithstanding economic pressures like OP was describing)

I’m on techtakes and I didn’t even know that.

Found this gem buried in !fuck_ai: This is a Conflict and there are Sides

Seems to be making the rounds. Baldur Bjrarnason commented on it (as seen in the webmentions; webmentions are so rad, does Lemmy do those?)

Leider keine Option, zu gruselig 😬.

Any other answer [than accepting code produced by slave labour] is a first step towards splitting our community along the many lines of political and ideological divides that have nothing to do with software freedoms.

I’ve been reading Means and Ends recently, and this reminded me of syndicalist unions being hung up about political neutrality, because interacting with “politics” would interfere with their overarching mission. Believing your work is metapolitical seems to be a good trick to shut down that embarassing self-reflection part of your brain.

Danke für den Tipp 😊

Milky knots sounds like something a mammogram is screening for…

A tragedy in 3 acts.

2026-03-05 Why I Don’t Vibe Code

Like many developers, I have a whole folder of draft hobby projects that have never been finished. […] From the LLM perspective, these are folders of failures and I could indeed use LLM to make an app a day or whatever challenge I want. However, the process was far more important than the product (again!). Not every whimsy needs to become a reality. Often, I get more from the fun of brainstorming and the process of learning enough to know that I don’t need to continue and finish the job.

2026-04-29 The LLM Is Not a Junior Engineer

Contrary to how I might seem at times, I do think there could be a place for LLM models in modern software development. I do understand why some developers are entranced with the ability to create applications in hours and turn prototypes into products. I see how it could be highly useful for home hobbyists, back-office bureaucrats and expert engineers to build the low-stakes software they’ve never had the time or skill for.

2026-10-25 My Local LLM Stack

And yet, as a developer, I do feel like I need to work with these tools to understand their potential for augmenting my own software development work. There are some cases (basically as a limited coding assistant) where a LLM can be useful. Some recent examples I have used across several projects:

• Look through this codebase and find all the areas where I have # FIXME comments. Collect them in a report and analyze if any no longer apply.
• Improve the test coverage for this file to be above 90%
• Update the openapi spec for this project in the repo to match what the API actually implements today […]
• Look through the data here and find all cases where there are likely errors. For instance, if a person has an end date before their start date.

This reminded me of @rhamph’s post last week. Is this an archetype of guy that is concious of the harms of LLMs, but cannot trust his own gut enough to see they are fundamentally wrong? So they try to come up with their own super-ethical spin on the beast and try to change the rotting carcass from within. But was anything gained here? I feel that an ideal of simple, elegant, and empowering code was lost.

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You know that people in the Sovier Union also faced consequences if they didn’t work, and did in fact get paid wages, right?

What makes people put in effort is a complicated mix of material, social and psychological incentives, and I don’t think sweeping generalizations like that are very helpful to understand anything.

Was für ein selbst-Bericht, das erinnert mich an ein echtes Nestlé Plakat das ich mal gesehen hab:

WIR WOLLEN DASS KINDER ARBEITEN

Irgend ein Stock Foto von Kindern hier

AN IHREN HAUSAUFGABEN

It’s quite something. Found deep in the discussion section:

Inserts ignored provided columns, creating rows best described as “deeply cursed” ¹²

12. Jepsen encourages the consistency model research community to come up with more official terms for this.

Thanks! Well generating the summary would have the downside (for me), that I would have to look at it.

But the semantic search bit was the one thing I felt was an actual new capability. I’m trying to imagine what if Google tried to pick this as their new moat (a better but resource-intensive way to search, scaling benefits if you establish yourself as the Internet’s main vector store, people might actually pay for queries…), but no they joined the team that wants so shove slop down everybody’s eyeballs.

Can you answer a question about RAG for me? My understanding is based entirely on this diagram from Wikipedia

If RAG takes into account vector similarity between query and reference material, do you need an LLM to regurgitate the found best vectors back to you? Could you get back a list of documents that best matched your query, or are the results in an inscrutable LLM-internal representation that need to be transformered back into readable text?

Depressingly plausible, thanks!

Looks like instead they will commit their capacity to AI In Space and a little Starlink (so probably mostly Starlink, even if Elon currently drinks his own Cool-Aid).

Really drives it home for me how institutionally cucked the US gov is. For this to be as big a deal, no-one must have the slightest concern that the US will claw back or conscript SpaceX capacity for national security. And correctly so.

I didn’t expect a Mastodon web client with monospace font could go as hard as it does. It goes so well with the cyberpunk theme.