S. LottApr 30

“There’s also the underlying unreliability of hallucination-prone Large Language Models. While a premium request chasing its tail and spitting out half-broken code might be frustrating, that same fuckup is a lot less forgivable when you’re paying the costs yourself.”

#llm_ai #slopware

AI's Economics Don't Make Sense
https://www.wheresyoured.at/ais-economics-dont-make-sense/

AI's Economics Don't Make Sense

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Ed Zitron's Where's Your Ed At
caffetinoApr 23
One thing that's been irking me about the adoption of AI is the homogenisation it brings. Not only in sentence structure, like the tell-tale 'It's not X, but Y', but in the loss of local phrases and culture. For instance, a colleague highlighted someone's work, but their message was clearly 'AI'ed and it felt slightly false and unnatural (while their English is excellent, it isn't so clearly US English). I found it quite sad that they trusted the AI more than themselves and felt the AI rewording gave the best chance of 'landing' the sentiment in our global team.

More than that loss of 'local colour' (we're all going to speak American eventually anyway), it got me thinking about the plurality of thought, and how our thought is governed by our words. What if there's a good reason Italian is structured the way it is, or that German has a perfect word for something that we simply don't have in English? We aren't just losing local dialects or 'flavour' but whole ways of perceiving and interpreting the world, through the adoption of AI trained on a subset of a subset of the Anglospheric world. Even if you're using ChatGPT in French, the LLM is trained on English language data, and thus the resultant French will be in an English (well, US English) style.

I know many on the Fediverse take a dim view on LLMs and GenAI anyway, but this isn't 'just' a technology or jobs issue, we could be losing far more of our diversity this way.

#genAI #genaiuse #llm_ai #Culture
Va_Te_Faire_VousApr 14

The #HolyFather, #PopeLeoXIV, confirmed what my colleagues, some journalists, and I have asserted about #AI #LLM #LLM_AI #chatbot #chatbots in the article: https://catholicreview.org/we-are-not-created-for-algorithms-but-human-encounter-pope-leo-says-in-programmatic-message-on-ai/

— although we were not as clear and descriptive as he was! As an Augustinian, and the leader of the Catholic Church, he is much wiser than my friends and I are.

Here are the most insightful quotes from the webpage (to follow): #Wisdom

We are not created for algorithms, but human encounter, Pope Leo says in programmatic message on AI - Catholic Review

Pope Leo XIV didn't just write his first message as pontiff for World Communications Day Jan. 24. He wrote a programmatic document on artificial intelligence in response to the challenges of the modern world, just like Pope Leo XIII faced the industrial revolution more than a century before.

Catholic Review
SchneeBTabanicMar 18
The Inverted Eucatastrophe of LLM Work
Tolkien coined term. It describes the buildup of hopelessness and certain defeat and the precise point when, the hero is about to fall, something utterly unexpected breaks in from outside the story’s own logic and turns everything toward joy and redemption. The Eagles arrive.
With LLMs I believe the inversion of this is unique ......
https://x.com/i/status/2034261958602465709
#Anthroposophy #LLMs #LLM_AI #llm #ethicalai
Schnee Bashtabanic (@Schnee_BTabanic) on X

The Inverted Eucatastrophe of LLM Work Tolkien’s Eucatastrophe was coined in his 1944 letter to his son Christopher and later expanded on in “On Fairy-Stories.” It is the precise moment when, at the blackest hour when Sauron's hordes are about to destroy all, something utterly

X (formerly Twitter)
valoMar 12
Für Leute welche @home mit KI Sprachmodellen also LLM experiemtieren, könnte der llm Proxy (ollama-openai-bridge) ganz hilfreich sein: https://github.com/o-valo/llm-proxy--ollama-openai-bridge #ai #ki #llm #llm_ai #ollama #openAI #opensource #python #vibecoding
Show threadAstroHydeMar 11
@_elena I think everyone I follow is #NoAI lol, I went from teaching data sci and physics to teaching how to circumvent/remove #LLMs in data sci and physics... it's tough for the kids trying to learn through this slop 🙃 One thing I think helps a bit is to specify when dragging #LLM_AI vs #DecisionTree_AI #NeuralNet_AI or #Statistical_AI etc. Alot of phys/ data sci here uses #AI as a catchall for all of #datascience including #MachineLearning so it can get confusing (is likely meant to be lol).