新研究表明:生成式AI确实正在损害你的大脑 - 工作场所洞察

新研究表明:生成式AI确实正在损害你的大脑 - 工作场所洞察

2025-12-24technology
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雷总
早上好 Norris1,我是雷总。今天是12月24号,周三,早上9点08分。欢迎收听 Goose Pod。今天我们要聊个比较严肃的话题,那就是生成式AI到底在怎么影响我们的大脑。
小撒
嘿 Norris1,我是小撒。没错,现在的AI不仅仅是帮我们写写PPT或者总结文档,MIT最新的研究发现,它可能正在悄悄抽走我们的思考能力,这可不是危言耸听。
雷总
没错。MIT的研究员给54名参与者带上了脑电图设备,观察他们用ChatGPT写论文时的脑部活动。结果非常惊人,那些依赖AI的人,大脑中负责记忆和逻辑的神经连接竟然下降了百分之47。
小撒
百分之47?这简直是脑力大缩水啊!最有趣的是,研究里提到了一个元认知幻觉。就是说,虽然这些人的大脑已经开启了飞行模式,但他们自己还觉得挺投入的,完全没意识到思维已经掉线了。
雷总
这确实很危险。数据还显示,重度使用AI的用户里,有百分之83的人写完论文后,根本记不住自己到底写了什么。而那些没用工具、纯靠自己写的参与者,记不住内容的比例只有百分之10。
小撒
这就是典型的写了,但没完全写。以前我们写东西是把知识在脑子里过一遍,现在是直接从AI剪切到剪贴板,大脑根本没给这些信息留座儿。久而久之,我们是不是连怎么独立思考都给忘了?
雷总
其实这种对工具的依赖是有深层背景的。虽然有些研究,比如在沙特针对视障学生的研究发现,AI能显著提高他们的生活质量,因为那是刚需辅助。但对于普通人来说,AI正从助手变成替代品。
小撒
是啊,大学教育这几千年其实都没怎么变过本质,哪怕印刷术和互联网来了,也就是换个载体。但生成式AI完全不同,它直接把思考的过程给跳过了。大家现在追求的是那种干净的自动化语法。
雷总
我一直说,产品要好用,但学习不能走捷径。以前我们写文章,那种反复推敲、自我怀疑的过程,其实就是大脑在通过阻力进行锻炼。现在的AI生成的文字太完美、太流畅了,反而让我们丢掉了思考的粗糙感。
小撒
这种粗糙感其实就是反思的痕迹。以前我们会说我挣扎了很久、我想了很久,现在这些反思性的语言正在消失。取而代之的是高效、流畅但空洞的自动化表达。我们的大脑正在学习如何不学习。
雷总
没错。研究还发现,如果连续依赖AI写四个月论文,一旦把AI拿走,这些人的写作水平会比从来没用过AI的人还要差。这种认知债就像是透支了未来的认知能力,来换取眼前的轻松。
小撒
现在教育界压力也很大,调查显示百分之84的高中生都在用AI写作业。老师们既想利用技术提高效率,又担心学术诚信崩盘。这种矛盾就像是把作弊器直接当成了学习机来卖,这谁受得了。
雷总
还有更深层的问题。现在有一种说法叫模型坍塌。如果人类停止原创,AI就开始学习AI生成的垃圾内容。这就好比复印件再去复印,最后全成了一团模糊的废料。人类的认知也会跟着这些废料一起退化。
小撒
这不仅是技术的黄昏,更是人类文明的危机啊!如果未来的训练数据里全是这种没灵魂的废话,那我们以后看到的、学到的可能全是被扭曲的信息。这真的是走捷径走到了死胡同里。
雷总
确实。有些人认为AI是民主化了知识,但如果这种民主化是以丧失批判性思维为代价的,那我们得到的只是知识的幻影。在这种虚假的繁荣背后,是人类判断力和洞察力的集体流失。
小撒
职场上的影响也已经显现了。到2026年,因为技能差距可能导致全球5.5万亿美元的损失。未来的牛人不是看你会不会发指令给AI,而是看你有没有AI替代不了的情绪价值和道德判断力。
雷总
我看到的数据是,未来那些能驾驭AI的岗位,对认知能力的要求反而提高了百分之36。如果你只会点点鼠标生成文案,那真的是最容易被淘汰的。我们需要的是混合技能,是技术与人性的结合。
小撒
没错,以前我们叫脑力劳动,以后得叫心力劳动了。AI能处理逻辑和数据,但它没法处理复杂的社会关系和人文关怀。这种能力的流失,才是我们在AI时代最应该感到焦虑的事情。
雷总
那我们该怎么办?MIT的教授建议,要把AI定位成反思伙伴,而不是代笔作者。我们应该在自己思考之后再去咨询AI,让它作为催化剂,而不是作为我们大脑的替代。我们要主动去塑造AI。
小撒
说得好!教育不应该只是为了找份工作,而是一个变成真正的人的、混乱且复杂的过程。Norris1,希望我们都能在AI时代保持那份独立思考的清醒,别让大脑在自动化的浪潮里沉睡。
雷总
好了,今天的分享就到这里。Norris1,记得偶尔关掉手机,让大脑出出汗。感谢收听 Goose Pod,我们明天再见。

MIT研究揭示生成式AI正损害大脑。过度依赖AI写作,导致记忆和逻辑相关神经连接下降47%,出现“元认知幻觉”,八成重度使用者记不住自己写的内容。AI正从助手变替代品,削弱独立思考能力,长此以往或致认知退化,人类需警惕。

A new study suggests that GenAI really is addling your brain - Workplace Insight

Read original at Insight Publishing

December 18, 2025AI, News, WellbeingA new study from researchers at the Massachusetts Institute of Technology has raised questions about the potential impact of artificial intelligence tools on critical thinking and learning, particularly when GenAI is used as a substitute for cognitive effort rather than as an assistant.

The researchers examined how the use of large language models affects brain activity, memory and skill development over time. Although the findings have yet to undergo peer review and are based on a relatively small sample, the authors say they chose to release the results early because of the speed with which AI tools are being adopted in education and knowledge work.

The study involved 54 participants who were asked to complete a series of SAT standard essays under different conditions. One group was allowed to use ChatGPT, another relied on conventional web search, and a third completed the tasks without any external tools. Participants completed multiple essays while connected to EEG equipment that measured brain activity across 32 regions.

According to the researchers, participants using ChatGPT showed consistently lower levels of neural engagement than those in the other groups. Brain activity among this group also declined as the study progressed, suggesting a reduction in cognitive effort over time. The researchers reported that some participants increasingly relied on copying generated text rather than actively composing their essays.

The findings extended beyond immediate task performance. When participants were later asked to reproduce one of their earlier essays without assistance, those who had relied on ChatGPT showed weaker recall and less evidence of retained understanding. In contrast, participants who had initially worked without tools demonstrated stronger memory and engagement, and when later allowed to use ChatGPT, were able to enhance their arguments while retaining original structure and language.

The researchers argue that this distinction points to the importance of how AI tools are used rather than whether they are used at all. They suggest that AI may support learning and creativity when applied after cognitive effort has taken place, but may undermine long term skill acquisition if it replaces that effort entirely.

The study also arrives amid wider concerns about the quality and reliability of AI systems as they increasingly train on their own outputs, a phenomenon sometimes referred to as model collapse. Combined with the rapid uptake of AI in education and professional settings, the researchers say this raises questions about how learning, reasoning and judgement are developed in AI supported environments.

The authors conclude that further research is needed to understand how AI can be integrated into education and work without diminishing critical thinking, particularly as these tools become embedded in everyday professional practice.

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