失去信心
Losing Confidence

原始链接: https://eclecticlight.co/2025/11/30/last-week-on-my-mac-losing-confidence/

## macOS 与人工智能信任度下降 信心是任何技能成功的关键,对技术而言也同样重要。最近,macOS 出现问题——从 Spotlight 故障到计时器损坏——这在微妙地侵蚀用户信任。核心问题不仅仅是*出现*错误,而是 macOS **未能报告这些错误**,将问题埋藏在日志中,导致用户甚至 Apple 支持都感到困惑。 这种缺乏透明度导致令人沮丧的故障排除,常常以系统重装告终,但无法保证问题得到解决。类似的问题也出现在人工智能领域,错误被淡化为“幻觉”,导致信任度下降,尤其是在法律工作等专业领域。 作者认为,诚实且信息丰富的错误报告至关重要。 缺乏它,用户会感到沮丧,寻求解决方法,并传播他们的不信任感,最终损害 macOS 和新兴人工智能技术的可靠性。

## macOS 可靠性问题 一则 Hacker News 讨论集中在对 macOS 可靠性信心下降的问题上。用户报告了静默的文件复制失败和无法解释的系统故障等问题,导致一些人转向 Linux。 核心论点是 macOS 的闭源性质阻碍了故障排除和长期稳定性。Linux 提供了日志访问和操作系统修改的优势,使用户能够独立解决问题,而无需依赖可能存在激励问题的支持。 评论员还注意到苹果的优先级似乎发生了转变,将美学置于性能和可用性之上——这尤其让技术型用户感到担忧。有趣的是,Windows 因其强大的向后兼容性而受到称赞,允许旧软件在新系统上运行。讨论以对人工智能未来简化操作系统迁移的潜力表示乐观的展望。
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原文

Cast your mind back to when you learned to drive, ride a bike, speak a foreign language, perform a tracheostomy, or acquire any other skill. Wasn’t confidence the key to your success? Whatever we do in life, confidence is always critical. If you run a business, one of the metrics that are likely to be collected is confidence in your business, as that’s such an important economic indicator. Confidence is every bit as important in computing.

Over the last few weeks I’ve been discovering problems that have been eroding confidence in macOS. From text files that simply won’t show up in Spotlight search, to Clock timers that are blank and don’t function, there’s one common feature: macOS encounters an error or fault, but doesn’t report that to the user, instead just burying it deep in the log.

When you can spare the time, the next step is to contact Apple Support, who seem equally puzzled. You’re eventually advised to reinstall macOS or, in the worst case, to wipe a fairly new Apple silicon Mac and restore it in DFU mode, but have no reason to believe that will stop the problem from recurring. You know that Apple Support doesn’t understand what’s going wrong, and despite the involvement of support engineers, they seem as perplexed as you.

One reason for this is that macOS so seldom reports errors, and when it does, it’s uninformative if not downright misleading. Here’s a small gallery of examples I’ve encountered over the last few years, to bring back unhappy memories.

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Maybe you saved an important webpage in Safari 26.1 using its Web Archive format, then a couple of days later discovered you couldn’t open it. There’s no error message, just a blank window, so you try again with the same result. Another site shows the same problem, forcing you to conclude that it’s a bug in Safari. Are you now going to devote your time to obtaining sufficient information to report that to Apple using Feedback? Or to contact Apple Support and pursue its escalation to an engineer who might fortuitously discover the cause?

Silent failures like these are least likely to be reported to Apple. In most cases, we find ourselves a workaround, here to abandon Web Archives and switch to saving webpages as PDF instead. When someone else mentions they too have the same problem, we advise them that Web Archives are broken, and our loss of confidence spreads by contagion.

Honest and understandable error reporting is essential to confidence. It enables us to tackle problems rather than just giving up in frustration, assuming that it’s yet another feature we used to rely on that has succumbed in the rush to get the next version of macOS out of the door.

Eroding confidence is also a problem that the vendors of AI appear to have overlooked, or at least seriously underestimated. It’s all very well using the euphemism of hallucination to play down the severity of errors generated by LLMs. But those can only cause users to lose confidence, no matter how ‘intelligent’ you might think your AI is becoming. Go talk to the lawyers who have been caught out by courts submitting AI fabrications whether they still have full confidence in your product.

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