人工智能是作为一种邓宁-克鲁格效应的服务。
AI is Dunning-Kruger as a service

原始链接: https://christianheilmann.com/2025/10/30/ai-is-dunning-kruger-as-a-service/

## 邓宁-克鲁格效应与“假装直到成功”的兴起 1995年两名银行抢劫犯相信石灰汁能让他们在监控摄像头下隐形,这一事件引发了对一种认知偏差的研究,现在被称为邓宁-克鲁格效应。 这种效应描述了具有有限专业知识的个体常常会高估自己的能力,缺乏认识自身无能的知识。 最近,这种偏差似乎被*鼓励*,尤其是在科技界。 对快速增长和虚高指标的不懈追求,助长了一种“假装直到成功”的心态,优先考虑外表而非真正的技能。 这也延伸到人工智能领域,自信地传递错误信息往往比准确性更受重视,目标是用户参与度而非实用性。 生成式人工智能的易用性进一步加剧了这种情况,它提供了承诺轻松创作的工具,而无需掌握任何技能。 这种转变贬低了学习过程和人类努力的内在价值,优先考虑产出而非真正的艺术性。 作者认为这不是进步,而是技能和真实性的稀释,提倡继续享受创作的乐趣——即使是不完美的创作——作为一项重要的追求。 即使感觉像个骗子,创作本身也具有价值,而自我评估往往不可靠。

## AI 与邓宁-克鲁格效应:黑客新闻讨论 一篇最近的文章认为人工智能体现了“作为服务的邓宁-克鲁格效应”,在黑客新闻上引发了争论。核心论点是,现成的AI工具让用户可以在不真正理解的情况下*看起来*很能干,这既引起了赞同,也招致了批评。 一些评论员认为这篇文章“懒惰”,认为不应该否定即使不完美也能帮助学习和解决问题的工具。另一些人指出,邓宁-克鲁格效应不仅仅是关于最初的过度自信,而是一个技能和自我评估不断发展的过程。 几位评论员强调了作者可能错误理解邓宁-克鲁格效应本身,甚至可能依赖LLM来获取定义,这其中的讽刺意味。 讨论还涉及AI在专业知识不重要的任务中的实际用途,以及对不合格的人利用AI可能造成有害后果的担忧,从而呼吁某种形式的“许可”或监管。 最终,这场对话反映了人们对人工智能对技能发展的影响以及潜在的错误信息更广泛的焦虑。
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原文

On January 6th, 1995 two bank robbers in Pittsburgh confused law enforcement by not making any attempts to conceal their faces but instead brazenly looking at security cameras as if they were invisible. The reason is that they actually thought they were.

Clifton Earl Johnson had convinced his fellow in crime, McArthur Wheeler that covering their faces in lime juice would make them invisible to cameras. Much like lime juice can be “invisible ink” until you heat the paper. As a test, Johnson had taken a polaroid of Wheeler that showed his face smudged. That a camera fault might be the cause, or doing a second test didn’t get to their mind.

This baffling over-confidence in their flawed approach inspired two psychologist, Justin Kruger and David Dunning to see if there is a common bias in people when it comes to assessing their skills and their actual performance in doing them. They found out that there is such a thing and it is now known as the Dunning-Kruger Effect.

A cognitive bias, where people with little expertise or ability assume they have superior expertise or ability. This overestimation occurs as a result of the fact that they don’t have enough knowledge to know they don’t have enough knowledge.

One could say that the Dunning-Kruger effect is the opposite of Impostor Syndrome. Instead of people not being able to interiorise their obvious successes, people declare themselves as great and experts at things they have no or just a rudimentary clue about.

Over the last few years we’ve been on a constant path to make this the standard mindset in the technology world. It started with a demand for everything to be released incredibly fast and to be a huge success in numbers from day one. Anything not growing exponentially is not a success.

Fakers instead of makers

“Fake it till you make it” is given as advice devoid of any irony. Instead, deception and inflation of numbers is seen as a smart move until you have the resources and knowledge to properly do the task. KPIs and OKRs are meant not to reflect delivery goals but aspirations. When you’re not gunning for a promotion every half year you’re not seen as a go-getter or having a growth mindset. In other words, we encourage bragadocious behaviour and language. Some of the things you hear from heads of states and other politicians in interviews sound like Muhammad Ali at press conferences before a fight in the 60s or old school rappers in the 70s and 80s.

AI bots excel at faking knowledge

But even worse, any interaction I have with AI chatbots gives me the same vibes. They give utter nonsense answers with high confidence and wrap errors in sycophantic language making me feel good for pointing out that they wasted my time. A correct answer is a lot less important than a good sounding one, a positive one or one that makes me interact more with the system. Time in product is the goal, not helping me find the right answer.

GenAI makes you a genius without any effort

The siren song of generative AI to turn anyone into an artist, wordsmith, composer or videographer by using “intelligent” tools is a push into Dunning Kruger territory. Vibe coding or vibe anything really focuses not on the craft, but the result. We’re not meant to create by learning the ropes and understanding the art. We’re much too clever and busy for that. Give it a prompt and create a product, an app or an agent that does your bidding. We’re continuously reminded that we all are capable of genius – if only we let the machines do the boring work for us. Our egos are fed, we are barraged by digital cheerleaders and confidence tricksters.

Stop wasting time learning the craft

Adding human effort into things, really creating and writing yourself is taunted as wasting your time and not embracing change and progress. But the cost is that we forget about the craft and we lose the joy of creating. Creativity of any kind is messy and fraught with error and drawbacks. But all of these make us human and who we are. As Leonard Cohen put it: “There is a crack in everything, that’s how the light gets in”. Sure, you might not be good at painting, composing, writing or shooting movies. But a terrible, human effort still is worth so much more than asking the machine to build you a boring solution focused on crowd pleasing more than being a thing in itself.

I am not happy about this, and I don’t see it as progress. If anything, it is deception and watering down craft and art. Politics have become an attack on intelligence, decency and research in favour of fairy tales of going back to “great values” of “the past when things were better”. Social media has become devoid of the social part and is a numbers game and addiction machine. But you know what? I don’t care. I keep doing what I do. I write down things I consider important at that time. I paint things although I suck at it. I publish on the web and my own blog because nobody stops me. Sure, I feel like a fraud when people applaud what I do more often that not. And yet – the joy of creation is something we should never give up on. Do you feel like what you do isn’t good enough or worth while? It is, and even if what you did isn’t amazing quality, you’ve created it and it is yours. And maybe, just maybe you are not the best judge to assess the quality of what you did anyways. One person’s disappointment may well be a joy to others. Keep creating and keep striving to improve and if others impressed you, tell them about it.

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