







I made some notes on the nature of the training of LLMs, and about whether we as a society should consider the material used to train them as a fair use of that material.
How Do We Talk about LLMs?
By Jim Clifford It is never fun to watch friends argue. Generative AI has created multiple fractures across our universities and the community of historians. The stakes are high and we are all deal…


If You’re Going To Defend AI And Whine About Its Critics, You Should Probably Be Honest About Its Actual Harms
I think this recent post by AI industry CEO Matt Shumer is worth a read. In it, he basically explains how quickly LLMs (large language models) are evolving to supplant many developers and prog…

Pluralistic: Why I don’t like AI art (25 Mar 2025) – Pluralistic: Daily links from Cory Doctorow
A law professor friend tells me that LLMs have completely transformed the way she relates to grad students and post-docs – for the worse. And no, it's not that they're cheating on their homework or using LLMs to write briefs full of hallucinated cases.
ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
Will AI cause a political interregnum

AI, Ethics, and Society — Home
The Future of AI Should Serve People, Not Platforms - The Liquid Frontier
AI has begun to reshape every part of our digital experience. I keep coming back to Kranzberg’s first law of technology: “Technology is neither good nor bad;…
Artificial
An LLM is a computer program. We should talk about it like a computer program.

Artificial
An LLM is a computer program. We should talk about it like a computer program.


AI Rage Is Inextricably Fused With Justified Loathing Of The Extraction Class. 'Deal With It'
Commencement AI booing reflects growing class revolt now tightly tethered to AI -- whether the technology's biggest proponents like it or not.

Firms like Meta and A16z admit having to pay billions for training data would ruin their generative-AI plans as they fight new copyright rules
Meta, Google, Microsoft, and Andreessen Horowitz are trying to keep AI developers from having to pay for copyrighted material used in AI training.

"Useful" is not sufficient
So Linus Torvalds, head of the Linux kernel development, put his foot down on the Linux Kernel development mailing list when someone was bringing up criticism of LLMs: “Linux is not one of those anti-AI projects, and if somebody has issueswith that, they can do the open-source thing and fork it. Or just walk away. […]

"AI makes it cheaper to contribute to Open Source, but it's not making life easier for maintainers. More contributions are flowing in, but the burden of evaluating them still falls on the same small group of people. That asymmetric pressure risks breaking maintainers." also relevant to slop science