有没有其他人觉得谷歌的人工智能概述异常容易出错？
我对谷歌的人工智能概述印象深刻。然而，上周我对一个我认为相对简单的问题产生了兴趣——计算复利。
具体来说，我想知道哈佛大学的捐赠基金自1638年最初的780英镑以来是如何增长的，因此我请谷歌帮我计算复利。各种搜索结果都给出了一个合理的公式，但计算结果却相当错误。例如：{计算386年内以3%利率年复利的100美元现值}得出的是0.736美元。{如果在1638年投资100美元，到2025年会值多少钱}得出的结果是3,903.46美元。{386年内以3%年复利的100美元}得出的结果是“386年后投资的未来价值大约为70,389美元。”而我最喜欢的结果是：{自1638年以来的100美元复利}给出了不同利率下的多种结果：
“A = 100 * (1 + 0.06)^387
A ≈ 8,090,950.14
A = 100 * (1 + 0.05)^387
A ≈ 10,822,768.28
A = 100 * (1 + 0.04)^387
A ≈ 14,422,758.11”
我们怎么会如此合理却又如此糟糕呢！？
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I've been quite impressed by Google's AI overviews. This past week, though, I was interested in what I thought was a fairly simple question - to calculate compound interest.<p>Specifically, I was curious about how Harvard's endowment has grown from its initial £780 in 1638, so I asked Google to calculate compound interest for me. A variety of searches all yield a reasonable formula which is then calculated to be quite wrong. For example: {calculate the present value of $100 compounded annually for 386 years at 3% interest} yields $0.736. {how much would a 100 dollar investment in 1638 be worth in 2025 if invested} yields $3,903.46. {100 dollars compounded annually for 386 years at 3 percent} yields "The future value of the investment after 386 years is approximately $70,389." And my favorite: {100 dollars compounded since 1638} tells me a variety of outcomes for different interest rates:
"A = 100 * (1 + 0.06)^387
A ≈ 8,090,950.14
A = 100 * (1 + 0.05)^387
A ≈ 10,822,768.28
A = 100 * (1 + 0.04)^387
A ≈ 14,422,758.11"<p>How can we be so reasonable and yet so bad!?