Anyone whose phone number is just one digit off from a popular restaurant or community resource has long borne the burden of either screening or redirecting misdials. But now, AI chatbots could exacerbate this inconvenience by accidentally giving out private numbers when users ask for businesses' contact information.

Apparently, the AI helper that Meta created for WhatsApp may even be trained to tell white lies when users try to correct the dissemination of WhatsApp user numbers.

According to The Guardian, a record shop worker in the United Kingdom, Barry Smethurst, was attempting to ask WhatsApp's AI helper for a contact number for TransPennine Express after his morning train never showed up.

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In recent years, numerous plaintiffs—including publishers of books, newspapers, computer code, and photographs—have sued AI companies for training models using copyrighted material. A key question in all of these lawsuits has been how easily AI models produce verbatim excerpts from the plaintiffs’ copyrighted content.

For example, in its December 2023 lawsuit against OpenAI, The New York Times Company produced dozens of examples where GPT-4 exactly reproduced significant passages from Times stories. In its response, OpenAI described this as a “fringe behavior” and a “problem that researchers at OpenAI and elsewhere work hard to address.”

But is it actually a fringe behavior? And have leading AI companies addressed it? New research—focusing on books rather than newspaper articles and on different companies—provides surprising insights into this question. Some of the findings should bolster plaintiffs’ arguments, while others may be more helpful to defendants.

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Mark Zuckerberg is hand-picking top researchers and engineers to join an upcoming AI research lab dedicated to “superintelligence," and Scale AI's Alexandr Wang is on the list.