An exploration of the problems and possible futures of flooding the web with generative AI content
The Dark Forest and Generative AI
Proving you're a human on a web flooded with generative AI content
Generative artificial intelligence: The Times and Sunday Times editorial guidelines
As we explore the potential of generative artificial intelligence our commitment is to uphold our high editorial standards.
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.
Study Finds A Third of New Websites are AI-Generated
Researchers found the internet is becoming aggressively positive as AI-generated text floods the web.
Glossary of Terms: Generative AI Basics - MIT Sloan Teaching & Learning Technologies
Learn key AI terms. This glossary defines and explains important concepts like generative AI, large language model, natural language processing, and more.
Where does the rigor go? Research software and the future of trustworthy science.
Generative AI now makes it dramatically easier to produce something that looks like research: analysis code, figures, literature reviews, even whole pap…
The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI
Use of generative artificial intelligence | ÉPICBiodiversity
An alternative version of this document was initially drafted by Timothée Poisot with input from members of the Viral Emergence Research Initiative, and further revised based on a conversation with group members. For this reason, it is excluded from the CC BY-NC-SA license under which the rest of the website is published, and may not be reproduced without permission.
Unpredictable Black Boxes are Terrible Interfaces
Why generative AI tools can be so difficult to use and how we might improve them
The AI Aesthetic
Writing about the big beautiful mess that is making things for the world wide web.
AI is turning research into a scientific monoculture
Generative AI deserves scientific attention. But the rush to study it is producing a feedback loop of topical and methodological convergence, flattening scientific imagination and crowding out the pluralism needed to keep research adaptive, resilient, and intellectually generative.
The AI feedback loop: Researchers warn of 'model collapse' as AI trains on AI-generated content
As a generative AI training model is exposed to more AI-generated data, it performs worse, producing more errors, leading to model collapse.
The Omg Lol Times · We have to talk about AI “art”
Note: In this post I’m going to use the term “AI” as a lazy shorthand for “generative content creation via large-scale pre-trained models” because time is tight and I’ve got arthritis. I know it’s not really “AI”, but please, let me give my typing fingers a break here.