#aifatigue — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aifatigue, aggregated by home.social.
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Reading a book about #AI which is written by #AI is really rough.
Getting really tired of:
- It is not X, it is Y
- "Load-bearing"
- "Honest"
- "Real"Honestly, #aifatigue is real. It is not a feeling; it is a load-bearing emotional condition 🤔
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„Das war nicht nicht mehr das Handwerk, dass ich als Teenager lieben lernte als ich meine ersten eigenen Zeilen in .html- und .php-Dateien schrieb - und die Inhalte im Browser aufschienen. Es war plötzlich ein tägliches, elendiges Hamsterrad aus Prompten & Warten - weil ich anscheinend ...“ https://lnkd.in/p/d-p_ixBQ
#vibecoding #agenticengineering #coding #webdev #programmieren #aifatigue
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LLM fatigue is realMy day job basically requires me to use LLMs (or, it is strongly encouraged) on the software that I develop. Now I understand why LLM fatigue and LLM burn-out happens. It is because you constantly have to babysit the LLM to keep it from screwing things up.
Babysitting is exhausting work. At one time in my life, as a 20-something-year-old, I was responsible for a group of 30 kids age 5 to 12. Every day I went home so drained that I could barely stay awake long enough to have dinner. I know from experience that school teachers perform some of the most labor-intensive work in the modern world.
It is what they call “emotional labor.” When other people are unable (as with kids) or unwilling (as with a lazy roommate) to live or play or work with you as a cooperative peer or team member, you essentially have to spend mental energy keeping an eye on them and making sure they aren’t doing something that is disruptive. That mental energy is a real energy cost, it really does consume calories and make you feel tired.
The worst part about it is that the LLM never really “learns.” Kids can learn to work and play with you. Lazy roommates can learn to live with you. But an LLM never really learns, and it keeps making the same mistakes over and over again. People who work with LLMs often end up keeping a directory of scripts they can deploy with a quick copy-paste so they can quickly re-explain something to an LLM. So the fatigue of watching over it and making sure the LLM doesn’t do something wrong is a constant emotional pressure, and it never gets better with age.
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Am Freitag habe ich auf LinkedIn (pfui!) einen Beitrag darüber geschrieben, warum Arbeit mit Chat-KI oft so auslaugt. Und weil das Publizieren auf LinkedIn so gar keinen Spaß macht, habe ich den Text nochmal massiv überarbeitet und die hitzebedingte Ausgangssperre genutzt, um endlich ein Weblog anzulegen. Ihr findet den Artikel hier: https://bedarfsfokus.de/artikel/soziale-erschoepfung-llm/
Eine Kommentarsektion ist aktuell nicht geplant, von daher freue ich mich auf Feedback via Fediverse.
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What Is AI Fatigue and Why Are More People Talking About It?
Artificial intelligence is everywhere.New AI tools launch every week. Headlines constantly discuss breakthroughs, businesses are rushing to adopt new technology, and social media feeds are filled with conversations about automation, productivity, and the future of work. For many people, it feels impossible to spend a day online without encountering discussions about AI.While this rapid growth has created enormous opportunities, it has also led to a growing phenomenon known as AI fatigue.But […] -
I just read this article about Anthropic's Mythos and came away very impressed:
The author, Davi Ottenheimer, meticulously takes apart Anthropics claims and essentially exposes ... a marketing campaign.
His findings nicely tie in with those of @bagder in his blog post https://daniel.haxx.se/blog/2026/05/11/mythos-finds-a-curl-vulnerability/
I have to admit to being quite exhausted about the entire topic, but I think Davi Ottenheimer's work deserves to be mentioned.
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#Spotify and #UniversalMusicGroup are reported to have signed a licensing agreement. This will enable the creation of #AI -generated cover versions and remixes of selected Universal #Music Group tracks. Everything has to be drained and devalued by algorithms? #AIFatigue
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AI Brain Fry is not just being tired.
It is when the mind keeps processing inputs, tools, messages, and decisions long after work ends.
At some point, the issue is not productivity.
It is the loss of inner space to observe what is happening inside.
https://ai-brain-fry.driftlens.space/
#AIFatigue #CognitiveOverload #SelfObservation #DigitalWellbeing #Mindfulness
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AI fatigue is real and nobody talks about it
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Microsoft adds AI to Notepad and Paint in Windows 11 and yes, it stinks
https://fed.brid.gy/r/https://nerds.xyz/2026/01/microsoft-ai-notepad-paint-windows-11/
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It seems like every browser is currently jumping on the band wagon and trying to "enhance" the browsing experience with AI. Vivaldi isn't and that's refreshing.
#ai #browsers #vivaldi #aifatigue
https://blog.alexseifert.com/2025/08/29/keep-browsing-human-vivaldis-stand-against-ai-in-browsers/
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Ok quite honestly, I am getting #aiFatigue. But not because it's everywhere, because its haters and detractors are everywhere in my current echo chamber of a social network.
Am I pro-AI? I honestly don't know. It helps from time to time, it also has a lot of problems, costs way too much energy and probably single-handedly pushes climate change along. This is bad.
But what's also bad is constantly spitting acid about #ai. I see sentiments like " If AI was so great, we'd see more people liking it!". No you wouldn't. Everybody sees all this pushback and will think three times before posting anything that's actually positive AI to make sure the contra-AI linchmob doesn't decide to " uhm well actually" them out of existence. Systemic change, sure, many voices form a crowd, fantastic, but for a place that is supposed to be open and individual, we're awfully decided on hating anyone who uses this technology into the ground. #sheesh
