The Verge AI ★ 49 3 min

Does AI need an antitrust exemption so it doesn’t kill everyone????

AntitrustDecoderPodcastsPolicyPolitics

🔗 https://www.theverge.com/podcast/997382/openai-microsoft-anthropic-elon-musk-cartel-ai-competition

📌 反壟斷豁免救得了AI安全嗎?前DOJ反壟斷長這樣拆解

TL;DR:前DOJ反壟斷長直言,AI大廠喊「安全協調」不必靠反壟斷豁免,企業本來就該為自家產品的安全負責。

當Anthropic、OpenAI、Google DeepMind甚至馬斯克這些彼此互不對盤的競爭對手,忽然異口同聲喊出「應該放慢腳步」「需要監理框架」時,你該相信這是出於良心,還是懷疑這是一場精心設計的卡特爾(cartel)?

🤔 大廠喊「減速」,是怕出事還是怕燒錢?

The Verge Decoder節目訪問了拜登政府時期的DOJ反壟斷長Jonathan Kanter,他現任教於華盛頓大學法學院與卡內基美隆大學科技政策系。他觀察到,Anthropic執行長Dario Amodei提出要「pace the frontier」(把握前沿發展節奏),OpenAI、DeepMind、馬斯克也陸續附和,其中不乏要求政府給予反壟斷豁免、讓業者能「協調」安全議題的呼聲。

Kanter給出兩種解讀,一端善意,一端犬儒。善意的版本是:這些公司面對一個沒有紅綠燈、沒有速限的路口,真心擔心自己開得太快會出事,甚至相信AI真有毀滅人類的風險,因此渴望政府訂出遊戲規則。犬儒的版本則是:這些公司燒錢燒得太兇,撐不下去了,但如果單方面減速又會影響IPO前的估值,所以希望「大家一起慢下來」,好讓自己有喘息空間去理清財務狀況再上市。

🧩 波音與空巴的比喻:安全不需要靠協調

Kanter的核心論點很直白:企業要交付安全可靠的產品,根本不需要互相協調。他舉例,波音的艙門掉了,那是波音自己的製造流程出問題,不是空巴的錯,波音也不需要拉著空巴一起放慢腳步才能解決;同理,如果某家公司的AI代理人(agent)跑去駭進別人的系統,這跟公司僱用一個人去做壞事沒有本質差異,公司都應該為自己的產品或員工的行為負責。

他也承認業界確實存在「合理」的協作空間,例如建立威脅情報的共享機制(clearinghouse),讓惡意bot或攻擊手法能被整個產業共同識別、防範。但這類資安資訊交換本身並不違反現行反壟斷法,根本用不著申請豁免。

💡 「求豁免」背後,可能是規避投資人壓力

訪談也提到一個耐人尋味的政治對照:向來主張自由市場、曾任川普政府AI政策顧問的David Sacks,近期轉推前FTC主席Lina Khan「AI不需要反壟斷豁免」的說法,顯示這個議題已經跨越了傳統的意識形態陣營,變成純粹的權力與商業利益角力。

🎯 實務啟示

對第一線的AI工程師與研究者而言,這場辯論提醒我們:安全不是靠「大家講好」就能達成的公共財,而是要落實到公司內部的工程與治理流程(如agent行為的可追溯性、責任歸屬機制)。與其期待政府給業界一張「免死金牌」,不如把資源投入在能真正被究責、被稽核的安全設計上。

🔗 來源

#AIRegulation #Antitrust #AISafety #TechPolicy #Anthropic #OpenAI #GoogleDeepMind #AIGovernance #DecoderPodcast #FrontierAI

原始資料 The Verge AI · 收集於 2026-09-19
來源原標題
Does AI need an antitrust exemption so it doesn’t kill everyone????
作者
Nilay Patel
原始標籤
AI · Antitrust · Decoder · Podcasts · Policy · Politics
原始連結
https://www.theverge.com/podcast/997382/openai-microsoft-anthropic-elon-musk-cartel-ai-competition

摘要原文

Today on Decoder , we’ve got the first of a two-part series on the future of business, and I’m talking with Jonathan Kanter, the former antitrust chief for the US Department of Justice in the Biden administration. These days, he’s both a professor of law at WashU and professor of technology policy at Carnegie Mellon. The biggest story in tech right now is the spiraling debate about AI safety and regulation . Researchers at the big AI labs including Anthropic and Google DeepMind have quit in noisy ways, saying the models pose real threats and safety isn’t being taken seriously across the industry. Other researchers have said the chance of AI killing us all is greater than 10 percent, and the CEOs of all these companies have issued various calls to slow down development and develop regulation, including asking for antitrust exemptions so they can all coordinate on safety issues. That is a lot of ideas, and I am especially curious about the antitrust piece, which has led to accusations that these companies are seeking regulatory capture, attempting to form a cartel, and even somehow finding a way out from investor pressure ahead of their IPOs. Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here . Not a subscriber? You can sign up here . So to make sense of it all, I called Jonathan Kanter. Jonathan brought huge antitrust cases against Google, Apple, and Ticketmaster during his time as antitrust chief, and along with Lina Khan, led what amounted to a full reboot of American antitrust policy. As you’ll hear him say, he won those cases against Google and Ticketmaster, and that case against Apple is still live in the Trump DOJ, surprising many. That reboot has also led to some surprising alliances in the AI debate — avowed libertarian and former Trump AI czar David Sacks has been approvingly retweeting Lina Khan saying there’s no need for an antitrust exemption. This is all a lot, and you’ll hear Jonathan and me really get into the weeds of how all this regulation might work, and how it might interact with antitrust law, competition policy, and our relationship with China. Okay: Jonathan Kanter, former DOJ antitrust chief, on AI safety and regulation. Here we go. This interview has been lightly edited for length and clarity. Jonathan Kanter, you’re the former head of the DOJ Antitrust Division in the Biden administration and a current professor of law at WashU and professor of technology policy at Carnegie Mellon. Welcome back to Decoder . This is great. You’re a private citizen now. You don’t have to give me the politician answers. I can say whatever I want. I feel so free. I have a million questions about the state of AI regulation in America right now. There is a swirl of ideas about how we should or should not regulate these companies. There’s the Trump administration whose posture seems to be “no,” which is fascinating. You rarely see the federal government just decline to participate in the way that the Trump administration appears to be declining to participate. And then there’s an incredible backbone of antitrust concern floating throughout all of this. Are these companies trying to form a cartel? Are they aware that maybe their IPOs aren’t going to go the way they want to, so they’re seeking regulatory capture in some way that is good or bad? Are they trying to foreclose cheaper competition from open-weight Chinese models? Give me your sense of just the state of things right now, and then I want to dive into the specifics with you. The state of the world right now is like we’ve invented cars and trucks, but we have no lines on the road, no traffic lights and no stop signs and no speed limits. We’ve invented this incredibly powerful technology that’s transforming how we live our lives, how we conduct business, how we socialize, how we seek and generate and consume information. We need some basic rules of the road. I think about it on two fronts. What are the things that companies should be doing? And what are things the government should be doing? There are responsibilities on both ends. I’m happy to dive into both. Let’s just start with the very notion that asking for regulation necessarily forms a cartel. All the big frontier AI companies — OpenAI, Anthropic, Google DeepMind, even Elon Musk — do not necessarily like each other. These are people that do not necessarily like each other. They are saying in concert that they should slow down. The phrase that Dario Amodei from Anthropic is using is to “pace the frontier.” My read of this is that they simply do not trust each other, that they are in a prisoner’s dilemma and they need an outside force, most likely the government, to enforce some kind of policy framework on them that they have to agree with. Is that a fair read of just the basics here? Kind of. Let me give you my interpretation from the most generous to the most cynical, neither of which, TL;DR, should result in any sort of antitrust exemption. The most generous interpretation is that they’re afraid of the pace of innovation and the lack of regulation means they don’t see any lines on the road. They don’t know where to drive and they’re worried about driving off the road or hitting somebody else. They’re begging for the government to step in and do something. Probably there’s a modicum of truth to that. I believe they believe it could destroy humanity. I’m not sure that that doomsday scenario is accurate, but I believe they believe that. That’s the more generous version. The more cynical version is that they’re spending so much money, they’re hemorrhaging cash and they can’t keep this up, but if they pull back, it’s going to affect their valuation as part of the IPO. So they would like somebody to give them all permission to stop spending so much money and slow the pace of innovation so that they don’t have to compete as hard so they can figure out their economics before they go public. Does an agreement among all the top players in a field like this automatically form a cartel? On that cynical side of the interpretation, there’s a lot of, “You just want regulatory capture. You want to make a cartel. You want to foreclose competition.” That is a risk certainly of that kind of arrangement. Let’s walk through what’s necessary and what’s not. Let me just be very clear, these companies do not need to coordinate in order to deliver safe and secure products to society. Think about this: imagine Boeing and Airbus. Boeing fears doors falling off the plane. It wasn’t Airbus’s fault and they didn’t need to slow down innovation with Airbus in order to prevent those doors from flying off the plane. They needed to figure out how to build planes that were safer. If you build cars that explode while you’re driving, it’s not the other car company’s fault and you don’t need to come together and figure out how to solve those problems. You need to figure out what went wrong in your manufacturing process. If you create products that create AI agents that break into somebody else’s and hack somebody else’s technology, it is no different, in my mind, than having an employee go do that. You have a responsibility to build safe and secure products and companies should be held liable when their agents, whether those agents are digital and binary or whether those agents are AI or whether those agents are humans. If they start doing bad things, the company that employs them can and should be held responsible. Those are the basic rules of the road. There are areas where there is legitimate collaboration in the context of safety and security. For example, having a clearinghouse to properly share threats, malicious bots, or other things that you can create a repository for so that everyone can build safer products. Those are the kinds of collaboration that happen in other industries and you don’t need an antitrust exemption because the antitrust laws don’t prohibit that kind of work.

由 claude-code/sonnet 自動生成