内容来源：https://www.technologyreview.com/2026/02/09/1132537/a-lesson-from-pokemon/

内容总结：

近日，一个名为“Moltbook”的AI社交平台在科技圈引发热议。该平台由AI自主互动构成，被不少业内人士描述为“对未来的一瞥”，甚至有用户声称借助其AI代理成功完成了新车交易谈判。然而，平台中也充斥着加密货币诈骗，且许多看似AI生成的内容实则为人工操控。

《麻省理工科技评论》AI高级编辑威尔·道格拉斯·海文指出，这场热潮让他联想到2014年风靡一时的“Twitch Plays Pokémon”实验——当时百万网友通过直播平台共同操控一个游戏角色，虽操作笨拙却引发现象级关注。与那次实验类似，Moltbook的热潮更像一场大型网络社交实验，而非真正预示未来。

乔治城大学金融市场的政策研究中心学者杰森·施洛策尔则将Moltbook比作“AI爱好者的宝可梦对战”——用户创造AI代理并观察它们相互博弈。这解释了为何许多AI代理被暗中操控，以发表看似具备意识或智慧的言论。“这本质上是一场观赏性运动，”他表示，“只不过主角换成了语言模型。”

海文在深入分析中强调，即使对AI代理的未来充满期待，Moltbook仍暴露出关键缺陷：真正的协同智能需要协调机制、共同目标和共享记忆，而该平台仅呈现无序的“论坛狂欢”。在他看来，Moltbook现象更多折射出互联网“为趣味而探索AI”的冲动。“最令我深思的问题是：人们会为了娱乐将AI推向何种境地？”他写道。

尽管Moltbook的热度已逐渐平息，但它促使业界重新审视AI代理技术的现状与瓶颈。在通往实用化AI的道路上，系统性的协作框架与伦理规范仍是亟待攻克的核心课题。

中文翻译：

为何Moltbook热潮堪比《精灵宝可梦》
这个AI机器人社交网络宛如一场观战式对决，AI爱好者们争相让自己的智能体展现出类人的感知力。
本文原载于我们的AI周刊《算法》。若想第一时间在收件箱中读到此类报道，请点击此处订阅。
上周，科技界众多有影响力的人士将Moltbook——这个由AI智能体相互交流构成的线上聚集地——描述为未来世界的惊鸿一瞥。它似乎展示了AI系统正在为创造它们的人类提供实用帮助（有人利用该平台协助自己完成了新车交易谈判）。诚然，平台上充斥着加密货币骗局，许多帖子实则由人类撰写，但其中某些特质确实指向了有益AI的未来，不是吗？
这场实验却让我们的人工智能高级编辑威尔·道格拉斯·海文联想到一个远不那么激动人心的事物：《精灵宝可梦》。
早在2014年，有人搭建了一个《精灵宝可梦》游戏，允许任何网友通过流媒体平台Twitch操控主角。操作过程正如听上去那般笨拙，却引发了惊人热潮：巅峰时期曾有百万人同时在线游戏。
“这又是一次被主流媒体追捧的古怪网络社会实验：它究竟预示着怎样的未来？”威尔回忆道，“事实证明，它并未带来太多深远影响。”
Moltbook引发的狂热在威尔听来似曾相识，而他的采访对象中恰好也有人联想到《精灵宝可梦》。乔治城大学普萨罗斯金融市场与政策中心的杰森·施洛策将整场现象视作AI爱好者的《精灵宝可梦》对战——他们创造AI智能体并部署它们与其他智能体互动。从这个角度看，许多AI智能体实际受人类操控说出特定话语以伪装感知力或智能性的新闻，就显得顺理成章了。
“这本质上是一场观赏性运动，”他向威尔解释道，“只不过参赛者换成了语言模型。”
威尔撰写了一篇精彩论述，剖析为何Moltbook并非传闻中预示未来的窗口。他指出，即便你对智能体AI的未来充满期待，Moltbook也清晰暴露了若干关键缺失要素。那是一个混乱的论坛，而真正有益的群体智能需要更多协同合作、共同目标与共享记忆。
“我认为Moltbook本质上是互联网的一场狂欢，”威尔总结道，“此刻最令我深思的问题是：人们究竟会为了娱乐效果将AI推向何种境地？”

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英文来源：

Why the Moltbook frenzy was like Pokémon
The social network for AI bots resembled a spectator battle, with AI enthusiasts competing to make their agents look sentient.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.
Lots of influential people in tech last week were describing Moltbook, an online hangout populated by AI agents interacting with one another, as a glimpse into the future. It appeared to show AI systems doing useful things for the humans that created them (one person used the platform to help him negotiate a deal on a new car). Sure, it was flooded with crypto scams, and many of the posts were actually written by people, but something about it pointed to a future of helpful AI, right?
The whole experiment reminded our senior editor for AI, Will Douglas Heaven, of something far less interesting: Pokémon.
Back in 2014, someone set up a game of Pokémon in which the main character could be controlled by anyone on the internet via the streaming platform Twitch. Playing was as clunky as it sounds, but it was incredibly popular: at one point, a million people were playing the game at the same time.
“It was yet another weird online social experiment that got picked up by the mainstream media: What did this mean for the future?” Will says. “Not a lot, it turned out.”
The frenzy about Moltbook struck a similar tone to Will, and it turned out that one of the sources he spoke to had been thinking about Pokémon too. Jason Schloetzer, at the Georgetown Psaros Center for Financial Markets and Policy, saw the whole thing as a sort of Pokémon battle for AI enthusiasts, in which they created AI agents and deployed them to interact with other agents. In this light, the news that many AI agents were actually being instructed by people to say certain things that made them sound sentient or intelligent makes a whole lot more sense.
“It’s basically a spectator sport,” he told Will, “but for language models.”
Will wrote an excellent piece about why Moltbook was not the glimpse into the future that it was said to be. Even if you are excited about a future of agentic AI, he points out, there are some key pieces that Moltbook made clear are still missing. It was a forum of chaos, but a genuinely helpful hive mind would require more coordination, shared objectives, and shared memory.
“More than anything else, I think Moltbook was the internet having fun,” Will says. “The biggest question that now leaves me with is: How far will people push AI just for the laughs?”
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