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Washington Post – William D. Cohan is a best-selling author and a founding partner of Puck News: “The other day someone sent me the searchable database published by The Atlantic that have been used to train the generative AI systems being developed by Meta, Bloomberg and others. It turns out that four of my seven …
Mashable: “…Researchers Nick Hagar from the New York Times and Nicholas Diakopoulos of Northwestern University have published a study in New Media and Society [Algorithmic indifference: The dearth of news recommendations on TikTok] which investigated how news content was amplified and recommended on the TikTok For You Page. Bear in mind that at the end …
A new index rates the transparency of 10 foundation model companies and finds them lacking. Katharine Miller – Companies in the foundation model space are becoming less transparent, says Rishi Bommasani, Society Lead at the Center for Research on Foundation Models (CRFM), within Stanford HAI. For example, OpenAI, which has the word “open” right in …
The Atlantic – Editor’s note: This searchable database is part of The Atlantic’s series on Books3. You can read about the origins of the database here, and an analysis of what’s in it here. “This summer, I acquired a data set of more than 191,000 books that were used without permission to train generative-AI systems …
Gizmodo: “OpenAI’s world-famous chatbot is free to rummage through the internet’s darkest corners. The company declared Tuesday that the “Browse with Bing” feature is ready for prime time for those ChatGPT users paying for Plus or Enterprise editions. This lets ChatGPT access up-to-date information, rather than being limited to the training data that was cut …
ZDNet: “I tried 5 online tools to find out With the sudden arrival of ChatGPT, educators and editors are facing a worrying surge of automated content submissions. We look at the problem and what might be done. When I first looked at the question of whether it’s possible to fight back against AI-generated plagiarism, and …
Scientific American: “Artists and writers are up in arms about generative artificial intelligence systems—understandably so. These machine learning models are only capable of pumping out images and text because they’ve been trained on mountains of real people’s creative work, much of it copyrighted. Major AI developers including OpenAI, Meta and Stability AI now face multiple …
Wired via PodMust: “Misinformation lives everywhere. False accounts of events, doctored photos, and purposely misleading news stories are quickly shared and passed around on social media, usually by well-meaning people who don’t know they’re sharing incorrect information. It’s a big problem in the best of times, but the stakes become much higher during a heated …
Tech Republic: “…SGE allows Google users to generate AI images and text by typing a prompt into the Google Search bar, working much in the same way as AI-powered text-to-image generators like Midjourney and DALL-E 2 and acting as a rival to Microsoft’s GPT-4 powered Bing Chat. Google said SGE could help in situations where …
palewire – Ben Welsh: “In total, 546 of 1,149 news publishers surveyed by the homepages.news archive have instructed OpenAI, Google AI or the non-profit Common Crawl to stop scanning their sites, which amounts to 47.5% of the sample. The three organizations systematically crawl web sites to gather the information that fuels generative chatbots like OpenAI’s …
ABA Journal – Generative AI and Guidance on Abusiveness May Illuminate a New Focus on “Dark Patterns” for Enforcement and Related Consumer Research: Consumer Protection enforcement authorities are showing a new interest in “dark patterns” which they describe as manipulative design practices that subvert consumer choice, particularly in digital settings. This interest likely stems from …
@The_AI_Skeptic – Long Post: Why Generative AI is Currently Doomed We’re so used to technology getting better. Every year there’s a new iPhone with a faster processor. It’s the way of the world… or so it seems. Sometimes, bigger doesn’t mean better. Take, for example, LLMs like ChatGPT. If you keep scaling them up, they …
