#data-scraping

#data-scraping

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"I scraped millions of Google Maps restaurant reviews, and gave each reviewer's profile picture to an AI model that rates how hot they are out of 10," says San Francisco-based website creater Riley Walz. "This map shows how attractive each restaurant's clientele is. Red means hot, blue means not."

The letter outlined not only the improper access engineers had to WhatsApp user data, but a variety of other shortcomings, including a "failure to inventory user data," as required under privacy laws in California, the European Union, and the FTC settlement, failure to locate data storage, an absence of systems for monitoring user data access, and an inability to detect data breaches that were standard for other companies.

Reddit has charged Anthropic with training its AI, Claude, on user posts without consent, highlighting a shift towards monetizing access to digital content.

AI compensation models are shifting from flat-fee licensing to varied systems that compensate publishers based on multiple functions of data usage.

Without ongoing contributions from content creators, AI systems risk becoming outdated, biased, or less reliable-ultimately diminishing user trust and the value of AI products.

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