致达里奥的一封公开信:如果你是认真的,就公开权重。
An open letter to Dario: if you mean it, open the weights

原始链接: https://jacob.gold/posts/open-letter-to-dario-amodei-about-open-weights/

作者向 Anthropic 公司首席执行官达里奥·阿莫代(Dario Amodei)发起挑战,要求他超越近期提出的“嵌入式评估员”方案,转而倡导一项真正能减缓人工智能发展的政策:**强制要求所有公开发布的人工智能模型必须采用开放权重。** 作者认为,当前的监管提案(如算力阈值和行业协调)容易受到“监管俘获”的影响。这些规则通过制造小型竞争对手难以负担的复杂合规负担,有效地保护了成熟企业,最终不仅没能减缓发展,反而巩固了现有巨头的市场垄断地位。 相比之下,要求任何面向公众的模型必须以开放权重的形式发布,将从根本上改变该行业的经济模式。通过削弱这些模型的专有价值,可以减少驱动快速、失控训练运行的大规模资本投入。作者呼吁阿莫代秉持其一贯的原则与使命感,并指出作为一家公益公司,Anthropic 具有独特的地位来引领这一牺牲。通过呼吁开放权重,阿莫代可以证明其将安全置于利润之上的承诺,并迫使整个行业实现无法被操纵或规避的减速。

一篇最近在 Hacker News 上发布的文章《给 Dario 的公开信:如果你是认真的,就公开模型权重》引发了广泛争议。作者认为,如果人工智能前沿实验室真的关心安全并希望放缓 AI 发展速度,就应在法律上强制要求其公开模型权重。作者认为,这将降低专有模型的价值,从而切断目前推动人工智能飞速发展的巨额投资。 社区对此反应冷淡,大多持怀疑态度,许多人称该提议“逻辑不通”或“不切实际”。批评者认为: * **适得其反的后果:** 强制公开权重很可能会导致实验室彻底停止发布公共模型,从而导致更严重的私有化和封闭。 * **安全风险:** 许多人认为,开源前沿级模型会带来严重的安全隐患,例如助长网络攻击或生物武器的开发。 * **全球竞争:** 反对者指出,此类法律仅适用于美国公司,反而会让外国实验室获得不受约束的竞争优势。 * **商业模式失效:** 批评者指出,公司可以简单地转向销售“算力”或提供企业独享访问权,使监管失去效力。 总的来说,该讨论反映了在如何监管人工智能,以及“开放”究竟是提升还是损害了安全的问题上,人们存在巨大的分歧。
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原文

Dear Dario,

You published We Must Pace the Frontier today, which committed Anthropic to embedded third-party evaluators and asked governments to require every other frontier company to match. Sam Altman agreed within hours.

Dario Amodei's face rendered out of glowing zeros and ones

I believe you’re being sincere, so I’m asking you to call for a different law, one that would actually slow things down, even though it would require real sacrifice on your part.

Any AI model a company offers to the public has to be released as open weights.

This wouldn’t cover every model you train, just the ones you make available to the public. Internal and research models wouldn’t be affected, and governments could still get access to unreleased models.

But Anthropic would have to publish Fable’s weights the day it was released, OpenAI would have to do the same with Astra, and so would everyone else.

As you know, funding for frontier model development depends on valuations that assume the weights remain proprietary. By changing that assumption, we can reduce the money available for future training runs and slow progress at every lab at once, without a regulator deciding anything.

There’s no slowing down frontier models by regulation that wouldn’t lead to regulatory capture. Embedded evaluators, compute thresholds, industry coordination with antitrust waivers. All of it gets written with the help of the current frontier labs, because nobody else understands the technical details well enough to write it.

Once it’s law, it only gets more complex, because every incident adds a rule and no rule ever gets removed. The big companies can afford the compliance teams and lawyers to keep up, and each new requirement makes it harder for anyone else to catch them. Instead of slowing you down, it protects your position and profits.

You seem like a good and principled person, and you have a record of giving things up for what you believe. You left OpenAI to start a company with safety built in from the beginning, when the safe career move was to stay. You’ve spent years asking for regulation of your own industry and getting called a doomer and a regulatory capturer for it. You pushed for export controls that shrink your own market. Anthropic paid $1.5 billion to settle with authors rather than fight to the end. And today you committed to slowing down before anyone else did.

You also had the foresight to make Anthropic a PBC (Public Benefit Corporation), so you can legally put the mission first:

The responsible development and maintenance of advanced AI for the long-term benefit of humanity.

This is exactly the kind of mission over short-term profit decision the PBC structure exists for. You remain the only person who could propose a law like this and be taken seriously, and the only one likely to actually do it.

If you really want to slow down frontier AI, call for a law that makes every publicly available model open weights. There’s nothing in it to game or dodge, even for you.

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