Burger King cooks up AI chatbot to spot if employees say ‘please’ and ‘thank you’

· · 来源:tutorial资讯

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As space companies itch to push the most advanced chips into orbit, the problem of cooling those high-powered processors is top of mind.

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根据麦肯锡和贝恩咨询等机构的估计:到2030年AI相关资本支出约5.2万亿美元,再加上传统负载相关资本支出约1.5万亿美元,合计接近7万亿美元,堪比美国联邦年度预算规模;而当前AI市场产生的年度收入约为20亿美元级别。这意味着:投资与收益之间的裂缝接近100倍级别。

Owain Evans’ idea of feeding a historical LLM non-anachronistic images is, I think, well worth doing. But it’s also worth expanding on further. Would it be helpful, when training a historical LLM, to simulate dream imagery based on premodern themes? What about audio of birdcalls, which were far more prominent in the audioscapes of premodern people? What about taking it on a walk through the woods?

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Not allowing the agent to access the Internet, nor any other compiler source code, was certainly the right call. Less understandable is the almost-zero steering principle, but this is coherent with a certain kind of experiment, if the goal was showcasing the completely autonomous writing of a large project. Yet, we all know how this is not how coding agents are used in practice, most of the time. Who uses coding agents extensively knows very well how, even never touching the code, a few hits here and there completely changes the quality of the result.