We want to make Piccalilli’s position absolutely clear on LLMs and generative AI. It’s important for you, the reader, to understand our position.
51 Ways to Spell the Image Giraffe: The Hidden Politics of Token Languages in Generative AI
Generative AI models don't operate on human languages – they speak in **tokens**. Tokens are computational fragments that deconstruct lan...
The abstraction you didn't ask for
When I say 'generative AI isn't going away,' people hear 'and you have to like it.' You don't, and you might be right not to. But the is-ought divide here is real and we should all be preparing for both outcomes.
ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
Will AI cause a political interregnum
The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI
Understanding AI/LLM Quantisation Through Interactive Visualisations
AI/LLM Quantisation Visualised
Ars Technica's policy on generative AI
How Ars Technica uses, and doesn't use, generative AI.
The Edge of Mathematics
Terence Tao, the legendary mathematician, explains the promise of generative AI.
Generative AI in a Nutshell - how to survive and thrive in the age of AI
Unmasking Synthetic Realities in Generative AI: A Comprehensive...
The rapid advancement of Generative Artificial Intelligence has fueled deepfake proliferation-synthetic media encompassing fully generated content and subtly edited authentic material-posing...
In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
Where the flower grows
Air gapped intelligence, local LLMs, and the case for private AI
“The task that generative A.I. has been most successful at is lowering our expectations, both of the things we read and of ourselves when we write anything for others to read.” — Ted Chiang
Why A.I. Isn’t Going to Make Art
www.newyorker.com