AI Daily News

OpenAI could soon face a billion-dollar fine. Authors and publishers suing the company for copyright infringement have uncovered internal messages and emails about the deletion of a dataset containing pirated books.

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Mark Zuckerberg is still on his AI talent shopping tour. Andrew Tulloch, co-founder of AI startup Thinking Machines Lab, is leaving the company to join Meta.

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Adobe is looking for applicants who use AI in their job applications—especially those who create work samples or designs with AI.

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A research team in China has built a new way for large language models to talk to each other using their internal memory, instead of relying on text. This cache-to-cache (C2C) method lets models share information faster and more accurately.

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A research group from Hugging Face, Nvidia, the University of Cambridge, and Mistral AI has released the Open ASR Leaderboard, an evaluation platform for automatic speech recognition systems.

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A new study from Google DeepMind and several US universities shows that most benchmarks for AI-generated code don't really match what developers value.

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Multi-agent AI systems can outperform solo agents, but it's often unclear whether they're truly working together or just running side by side. A new framework from Northeastern University sets out to measure real teamwork in agentic AI systems.

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Multi-agent AI systems can outperform solo agents, but it's often unclear whether they're truly working together or just running side by side. A new framework from Northeastern University sets out to measure real teamwork in agentic AI systems.

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Reports have surfaced that OpenAI served subpoenas to civil society groups and individuals pushing for stricter AI regulations, including key supporters behind California's new AI law, SB 53.

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