还有人跟我一样,厌倦了讨论人工智能吗?
Is anybody else bored of talking about AI?

原始链接: https://blog.jakesaunders.dev/is-anybody-else-bored-of-talking-about-ai/

作者对持续关注人工智能感到日益疲惫,尽管承认其益处并每天使用它。虽然人工智能极大地提高了他们的生产力,但像Hacker News和Kagi Small Web这样的在线技术社区现在充斥着关于人工智能工具的讨论,而不是这些工具所赋能的项目。 这感觉像是从之前关注“产品工程”——交付价值——退化到痴迷于工具本身,就像木匠只讨论锤子一样。作者注意到一个令人担忧的趋势,即管理层现在关注开发者*如何*使用人工智能(衡量token使用量),而不是他们*取得的*结果,这与过去无生产力的指标(如代码行数)如出一辙。 最终,作者呼吁回归分享令人兴奋的创作和解决问题,记住技术的目的是交付价值,而不仅仅是优化工具。 这是一种对围绕人工智能讨论的回音室的自我意识的哀叹。

## AI 疲劳:黑客新闻总结 最近一篇题为“还有人对谈论AI感到厌倦吗?”的帖子引发了黑客新闻的讨论,揭示了人们对持续不断的AI讨论普遍感到疲劳。虽然许多人承认AI的潜力与实用性,但评论员们表达了对炒作、对“AGI”的无休止关注以及围绕它的常常流于表面的对话的不满。 担忧范围从巨大的能源消耗和投资,尽管存在紧迫的全球问题,到AI可能加剧不平等甚至取代人类劳动的可能性。有些人认为讨论被不切实际的期望和“骗局”所主导,而另一些人则哀叹更有趣的技术话题被取代。 许多人对不断需要适应快速变化的AI工作流程以及将AI整合到工作各个方面的压力感到沮丧。一种普遍的观点是,AI真正有趣的部分——潜在的数学和模型行为——被花哨的应用和推测性声明所掩盖。最终,许多人只是希望停止持续不断的AI喧嚣。
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原文

At serious risk of sounding like a heretic here, but I’m kinda bored of talking about AI.

I get it, AI is incredible. I use it every day, it’s completely changed my workflow. I recently started a new role in a tricky domain working at web scale (hey, remember web scale?) and it’s allowed me to go from 0-1 in terms of productivity in a matter of weeks.

With that being said, it’s all starting to feel a bit… routine. I’m not here to argue that the pace of change has been incredible, but on a day-to-day basis I’ve sorta ran out of things to talk about. What makes this worse is it’s completely taken over mindshare across my section of the internet.

Hacker News, my favourite haunt, used to be full of interesting projects and problems being solved but this seems to have devolved into three different people’s (almost identical) Claude code workflow and yet another post about how you got OpenClaw to stroke your cat and play video games so you had way more time to… configure AI tooling. This all feels a little self-fulfilling.

Kagi small web is another great example of this effect. Here’s a challenge, open it up and press the ‘next’ button 20 times. What percentage of posts are AI related?

Before you write me off as ‘old man yells at cloud’, understand where I’m coming from. In the good old days (2023), before we called anybody who could open a Claude code terminal an ‘AI engineer’, being a ‘Product Engineer’ was the hot new term. The idea was that engineers should move away from obsessing over code to obsessing over the product value they were delivering. I loved this, it made loads of sense to me, but we seem to have regressed. It’s no longer the code we’re obsessing over, it’s the overgrown auto-complete we’ve developed to make the easiest part of being an engineer easier.

It’s like if I went onto the woodworking subreddit and they’d all stopped showing pictures of the tables they’d created and just started posting about the hammer they were using. But they were all using basically the same hammer in the same way, so they were just screaming the same shit at each other at the top of their voices.

What makes this worse, is our bosses have bought into it this time too. My managers never cared much about database technologies, IDE’s or javascript frameworks; they just wanted the feature so they could sell it. Management seems to have stepped firmly and somewhat haphazardly into the implementation detail now. I reckon most of us have got some sort of company initiative to ‘use more AI’ in our objectives this year. Management’s involvement in the SDLC has always been a thing, DORA metrics have been around for a while. But historically, it’s always been about the outputs. Faster deploys, time to respond. Now we’re measuring the number of tokens used per-dev, which is no more useful than lines of code ever was.

I guess what I’m saying, other than just having a general whinge, is tell me more about the cool shit you’re building rather than the tools you’re using to build it. And don’t forget that the whole purpose of coding, like any other craft, is to create something that delivers value for someone. Even if that someone is just yourself.

… And yes, I’m painfully aware of the irony of a post about moaning about posts about AI. Sorry.

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