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A paper[1] presented in June at the NAACL 2024 conference describes "how to apply large language models to write grounded and organized long-form articles from scratch, with comparable breadth and depth to Wikipedia pages." A "research prototype" version of the resulting "STORM" system is available online and has already attracted thousands of users. This is the most advanced system for automatically creating Wikipedia-like articles that has been published to date.

[L]ately, Anthropic has been in the headlines for less noble reasons: It’s pushing back on a landmark California bill to regulate AI. It’s taking money from Google and Amazon in a way that’s drawing antitrust scrutiny. And it’s being accused of aggressively scraping data from websites without permission, harming their performance.

The company says it’s proof that quality AI models don’t have to include controversial copyrighted content. Adobe trained Firefly on content that had an explicit license allowing AI training, which means the bulk of the training data comes from Adobe’s library of stock photos, says Greenfield. The company offers creators extra compensation when material is used to train AI models, he adds.

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