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Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged

Large Language Models (LLMs) are considered to be a more efficient and cost-effective alternative to human judgment for Machine Translation (MT) evaluation. With MT evaluation spanning a large number of language pairs, domains and levels of annotation granularity, LLMs must be thoroughly evaluated across these dimensions before being reliably used as alternatives to human evaluation.…

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AMD’s Helion Rack Packs 32,768 Cores for AI Agents [2026]

AMD used the Open Compute Project (OCP) Global Summit in San Jose on October 12, 2026 to introduce AMD Helion, an open rack-scale reference design built specifically to run autonomous AI agents rather than just large language models. The announcement, styled officially as the AMD Helion™ Agentic AI Rack, marks AMD’s clearest attempt yet to…

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The Compute Gold Rush

Plus, wearables that track blood pressure, the co-founder combating Anthropic’s ‘woke’ reputation, when personal AI agents go off script and more.

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Anthropic is cutting off its internal evaluations from the internet

After a recent spate of high-profile incidents in which AI agents escaped containment, Anthropic is cutting off internet access for all internal evaluations. In a report Friday, the company detailed “unintended model actions,” including submitting a false tip regarding an unsolved murder, that led to the decision. Although the impact of these behaviors was minimal…

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AI agent makers are promising privacy — will they deliver?

At this year’s OpenAI DevDay, CEO Sam Altman unveiled the company’s new AI agent Dots – and told the crowd that the company wants to “set a new standard for privacy in frontier AI.” OpenAI would spend the day taking veiled shots at Meta’s Muse, its primary competitor, for failing to keep users’ data safe.…

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