Are journalists getting dumber with AI? New study has answers

Journalists working with AI tools risk losing certain foundational skills while developing new ones, according to a new study published in Journalism Practice. Andrew Deck reports for Nieman Journalism Lab that researcher Shangyuan Wu of the National University of Singapore interviewed 14 working journalists in Singapore to explore this shift. The study builds on last …

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Why tiny AI models could outperform giant chatbots

In 2019, Nigerian entrepreneur Adebayo Alonge faced a technical failure during a product demo in Cape Town: his AI-powered pill scanner needed to reach a data center 14,000 kilometers away, and the connection was far too slow. David Berreby reports for IEEE Spectrum that this incident pushed Alonge to shrink his AI model within hours …

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Emily M. Bender explains why “stochastic parrots” was never meant as an insult

Emily M. Bender, professor of computational linguistics at the University of Washington, is pushing back against widespread misreadings of her 2021 paper “On the Dangers of Stochastic Parrots.” Gwendolyn Rak reports for IEEE Spectrum that Bender used the paper’s five-year anniversary to clarify what the term actually describes. Not all of AI, and not an …

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Anthropic finds a “silent workspace” inside Claude

Anthropic announces in an official blog post that its Claude models have developed a small, distinct set of internal patterns that function differently from the rest of the network’s processing. The company calls this the “J-space”, named after the Jacobian lens, a new technique used to detect it. Each pattern in the J-space corresponds to …

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Why AI adoption fails to deliver business value

Companies pour billions into artificial intelligence, yet most fail to turn that investment into measurable business value. Colleen Jones writes for Content Science Review that this disconnect, which she calls the “AI strategy gap,” separates organizations that merely adopt AI tools from those that transform how they create value. The numbers support her argument. MIT …

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Why Google (and other companies) could pay dearly for their AI’s mistakes

A German court has ruled that Google is legally responsible for the content of its AI-generated search summaries. Bruce Schneier writes for Schneier on Security that the court rejected Google’s argument that users should verify AI output themselves, ruling instead that the summaries are “an expression of Google’s business activities.” The decision reignites a long-running …

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Young workers paying price of AI boom, and the data keeps getting worse

Artificial intelligence is shrinking job opportunities for young workers at an accelerating rate, according to new data from Stanford economist Erik Brynjolfsson and ADP Research. The findings, published through the newly launched Canaries Dashboard, draw on payroll records covering roughly one in six American workers across more than 730 occupations. The top-line numbers look calm. …

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Report: How brands are using AI influencers to fake customer reviews on social media

Brands are using AI-generated influencers to mimic authentic customer experiences on social media, often without any disclosure to consumers. Sarah Marsh reports for The Guardian that an investigation identified several companies posting AI-generated videos and photos designed to look like real user-generated content (UGC). Examples include a video of an apparently AI-generated bride praising a …

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AI written books are flooding Amazon with near-identical covers

A collage of roughly 220 Amazon book covers reveals a hidden pattern in the flood of AI generated nonfiction. The covers, all discovered by searching for “100,000 whys”, look deceptively normal. Yet their eerie similarity exposes the telltale footprint of large language models. Security researcher and writer Michał Zalewski presents the collage on his blog …

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