One of the best article on #AI, #GenAI, and #ML I've read this week from a company that develop videogames and even published a couple of books about the topic in #gamedev: https://yarnspinner.dev/blog/why-we-dont-use-ai/

TL;DR: AI companies make tools for hurting people and we don’t want to support that.

AI is now a tool for firing people, in a time when getting re-employed is especially difficult and being unemployed can be life-threatening. We don’t want to be part of that. Until this is fixed we won’t use AI in our work, nor integrate it into Yarn Spinner for others to use.

We don’t want to support the companies making these tools or normalise their behaviour. So we don’t.

Two further results from the project "Human.Machine.Culture" (https://mmk.sbb.berlin/?lang=en) at @stabi_berlin published in Open Access

Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data

https://doi.org/10.5281/zenodo.16418345

Guidelines for the Publication of Cultural Data for AI Research

https://doi.org/10.5281/zenodo.15878097

Feedback to these publications is most welcome!

#bigdata #ML #culturalheritage #ELSI #digitalculturalheritage

Two further results from the project "Human.Machine.Culture" (https://mmk.sbb.berlin/?lang=en) at @stabi_berlin published in Open Access

Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data

https://doi.org/10.5281/zenodo.16418345

Guidelines for the Publication of Cultural Data for AI Research

https://doi.org/10.5281/zenodo.15878097

Feedback to these publications is most welcome!

#bigdata #ML #culturalheritage #ELSI #digitalculturalheritage

Sharp

https://apple.github.io/ml-sharp/

#HackerNews #Sharp #ML #MachineLearning #Apple #OpenSource #GitHub #TechNews

@Tutanota Thanks for sharing those "Translate" AGPLv3 tools , interesting!

What will be the license for Tuta Drive by the way?

That being said, #Microsoft tools are beyond awful. How come this company is still a thing? It's ridiculous 😄

#FreeAndOpenSource #Privacy #Alternative #Internet #Linux #Translation #Deepl #ML

I see a lot of blank, outright rejection of #AI, LLMs general or coding LLMs like #ClaudeCode in special here on the Fediverse.
Often, the actual impact of the AI / #LLM in use is not even understood by those criticizing it, at times leading to tantrums about AI where there is....no AI involved.

The technology (LLM et al) in itself is not likely to go away for a few more years. The smaller #ML variations that aren't being yapped about as much are going to remain here as they have been for the past decades.
I assume that what will indeed happen is a move from centralized cloud models to on-prem hardware as the hardware becomes more powerful and the models more efficient. Think migration from the large mainframes to the desktop PCs. We're seeing a start of this with devices such as the ASUS Ascent #GX10 / #Nvidia #GB10.

Imagine having the power of #Claude under your desk, powered for free by #solar cells on your roof with some nice solar powered AC to go with it.

Would it not be wise to accept the reality of the existence of this technology and find out how this can be used in a good way that would improve lives? And how smart, small regulation can be built and enforced that balances innovation and risks to get closer to #startrek(tm)?

Low-key reminds me of the Maschinenstürmer of past times...

Now the lightning talk on datasheets & data-envelopes presented by @sclaeyssens and Antoine Isaac at #FF2025

The slides of the presentation are available at

https://zenodo.org/records/17725565

#datasheets #data-envelopes #ML #collectionsasdata

Now the lightning talk on datasheets & data-envelopes presented by @sclaeyssens and Antoine Isaac at #FF2025

The slides of the presentation are available at

https://zenodo.org/records/17725565

#datasheets #data-envelopes #ML #collectionsasdata

AI research is "Eating your own dog food" kind of field. It's both amusing and predictable.

Major AI conference flooded with peer reviews written fully by AI https://www.nature.com/articles/d41586-025-03506-6
"Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by artificial intelligence. "

How did they find out, you ask? With the help of AI models, of course. "EditLens: Quantifying the Extent of AI Editing in Textmodel." https://arxiv.org/abs/2510.03154

#ml #science #research #AIResearch #ai

If you want a specific example of why many researchers in machine learning and natural language processing find the idea that LLMs like ChatGPT or Claude are "intelligent" or "conscious" is laughable, this article describes one:

https://news.mit.edu/2025/shortcoming-makes-llms-less-reliable-1126

#LLM
#ChatGPT
#Claude
#MachineLearning
#NaturalLanguageProcessing
#ML
#AI
#NLP

AI research is "Eating your own dog food" kind of field. It's both amusing and predictable.

Major AI conference flooded with peer reviews written fully by AI https://www.nature.com/articles/d41586-025-03506-6
"Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by artificial intelligence. "

How did they find out, you ask? With the help of AI models, of course. "EditLens: Quantifying the Extent of AI Editing in Textmodel." https://arxiv.org/abs/2510.03154

#ml #science #research #AIResearch #ai

If you want a specific example of why many researchers in machine learning and natural language processing find the idea that LLMs like ChatGPT or Claude are "intelligent" or "conscious" is laughable, this article describes one:

https://news.mit.edu/2025/shortcoming-makes-llms-less-reliable-1126

#LLM
#ChatGPT
#Claude
#MachineLearning
#NaturalLanguageProcessing
#ML
#AI
#NLP

Salut le fédi, j'ai besoin de tes miracles !

J'ai une belle-soeur, qui est à peu près la personne la plus intelligente que j'ai eu l'occasion de côtoyer qui cherche un boulot en R&D ML engineer / Data scientist idéalement en full remote ou du côté de #grenoble. Son contrat d'avant dans le machine learning vient de se terminer

Elle a été auparavant chercheuse dans les nanosciences au #cnrs. Elle a plusieurs papiers de publiés. Bref, une tête !

Je peux partager son CV, elle est pas mal en galère d'argent, donc c'est plutôt urgent 😊 !

Y a moyen de faire tourner ce petit message d'aide ? Merci !

#ML #datascience #emploi #jechercheunjob #recrutement

Salut le fédi, j'ai besoin de tes miracles !

J'ai une belle-soeur, qui est à peu près la personne la plus intelligente que j'ai eu l'occasion de côtoyer qui cherche un boulot en R&D ML engineer / Data scientist idéalement en full remote ou du côté de #grenoble. Son contrat d'avant dans le machine learning vient de se terminer

Elle a été auparavant chercheuse dans les nanosciences au #cnrs. Elle a plusieurs papiers de publiés. Bref, une tête !

Je peux partager son CV, elle est pas mal en galère d'argent, donc c'est plutôt urgent 😊 !

Y a moyen de faire tourner ce petit message d'aide ? Merci !

#ML #datascience #emploi #jechercheunjob #recrutement

New blog post! “What I Think About AI When I Hear About AI: A Slightly Unconventional View” - https://www.bohyunkim.net/blog/archives/4443 (or read on Substack -https://bohyunkima2.substack.com/p/what-i-think-about-ai-when-i-hear) #libraries #AI #ML

R.A. Fisher wrote that the purpose of statisticians was "constructing a hypothetical infinite population of which the actual data are regarded as constituting a random sample." ( p. 311 here ). In The Zeroth Problem Colin Mallows wrote "As Fisher pointed out, statisticians earn their living by using two basic tricks-they regard data as being realizations of random variables, and they assume that they know an appropriate specification for these random variables."

Some of the pathological beliefs we attribute to techbros were already present in this view of statistics that started forming over a century ago. Our writing is just data; the real, important object is the “hypothetical infinite population” reflected in a large language model, which at base is a random variable. Stable Diffusion, the image generator, is called that because it is based on latent diffusion models, which are a way of representing complicated distribution functions--the hypothetical infinite populations--of things like digital images. Your art is just data; it’s the latent diffusion model that’s the real deal. The entities that are able to identify the distribution functions (in this case tech companies) are the ones who should be rewarded, not the data generators (you and me).

So much of the dysfunction in today’s machine learning and AI points to how problematic it is to give statistical methods a privileged place that they don’t merit. We really ought to be calling out Fisher for his trickery and seeing it as such.

#AI #GenAI #GenerativeAI #LLM #StableDiffusion #statistics #StatisticalMethods #DiffusionModels #MachineLearning #ML

R.A. Fisher wrote that the purpose of statisticians was "constructing a hypothetical infinite population of which the actual data are regarded as constituting a random sample." ( p. 311 here ). In The Zeroth Problem Colin Mallows wrote "As Fisher pointed out, statisticians earn their living by using two basic tricks-they regard data as being realizations of random variables, and they assume that they know an appropriate specification for these random variables."

Some of the pathological beliefs we attribute to techbros were already present in this view of statistics that started forming over a century ago. Our writing is just data; the real, important object is the “hypothetical infinite population” reflected in a large language model, which at base is a random variable. Stable Diffusion, the image generator, is called that because it is based on latent diffusion models, which are a way of representing complicated distribution functions--the hypothetical infinite populations--of things like digital images. Your art is just data; it’s the latent diffusion model that’s the real deal. The entities that are able to identify the distribution functions (in this case tech companies) are the ones who should be rewarded, not the data generators (you and me).

So much of the dysfunction in today’s machine learning and AI points to how problematic it is to give statistical methods a privileged place that they don’t merit. We really ought to be calling out Fisher for his trickery and seeing it as such.

#AI #GenAI #GenerativeAI #LLM #StableDiffusion #statistics #StatisticalMethods #DiffusionModels #MachineLearning #ML

Honda: 2 years of ml vs 1 month of prompting - heres what we learned

https://www.levs.fyi/blog/2-years-of-ml-vs-1-month-of-prompting/

#HackerNews #Honda #ml #prompting #machinelearning #AI #insights

💡3-Month FULLY FUNDED Summer Internship in Germany!
🇩🇪 Apply for the Internship (Jul-Sep 2026) in Tübingen. Work on cutting-edge research in #ML, #Neuroscience & #DataAnalysis at MPI. Open to BSc./MSc. students.
🗓️Deadline: Nov 20, 2025
🔗 Apply: https://cactus-internship.tuebingen.mpg.de

💡3-Month FULLY FUNDED Summer Internship in Germany!
🇩🇪 Apply for the Internship (Jul-Sep 2026) in Tübingen. Work on cutting-edge research in #ML, #Neuroscience & #DataAnalysis at MPI. Open to BSc./MSc. students.
🗓️Deadline: Nov 20, 2025
🔗 Apply: https://cactus-internship.tuebingen.mpg.de