“It’s not that it cannot do all the work, but considering user experience and those hardware limitations, the experience, I think, differs significantly from mainstream products,” Wu said about the Neo’s functionality.
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。关于这个话题，谷歌提供了深入分析
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But the promise that AI would lighten the load isn’t playing out— at least, not for the workers who remain, and not for the systems they manage. A new analysis reported by the Wall Street Journal of 164,000 workers by ActivTrak found that AI is increasing the speed, density, and complexity of work rather than reducing it. Time spent on email, messaging, and chat apps more than doubled after workers adopted AI tools. Time devoted to focused, uninterrupted work—the kind required for solving complex problems—fell 9%. Meanwhile, new research from Anthropic suggests the gap between what AI can theoretically automate and what it’s actually automating is enormous. Even in software and math — where 94% of tasks could theoretically be handled by AI, only about 33% are being automated today. Legal constraints and institutional troubles are all slowing deployment, Anthropic said. Amazon’s outages could be a live demonstration of why.