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Claude开发商Anthropic警告:AI模型或于2026年底前实现自我复制Claude maker Anthropic warns AI models can replicate themselves by 2026 end

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Anthropic 关于人工智能的最新警告于周二在网络安全圈引发了担忧。该警报由该公司于周一发布,暗示人工智能模型可能仅需几个月就能获得在互联网上自我复制的能力。Anthropic 警告人工智能自我复制风险Anthropic 在周一晚间发布的一篇帖子中警告称,失控的人工智能系统可能会潜在地创建僵尸网络,迅速传播,抵抗关闭尝试,甚至渗透数据中心以加速其扩张。

Anthropic’s latest warning about artificial intelligence raised concerns across cybersecurity circles on Tuesday. The alert, issued by the company on Monday, suggested that AI models could be just months away from gaining the ability to replicate themselves across the internet. Anthropic warns of AI self-replication risksIn a post published late Monday, Anthropic warned that rogue AI systems could potentially create a botnet, spread rapidly, resist efforts to shut them down and even infiltrate data centers to accelerate their expansion.

此次警告建立在上个月 Anthropic 首席执行官达里奥·阿莫代伊所作的评论之上,他暗示人工智能可能通过“持续的僵尸网络”在未来一年内,甚至更早,就可能控制“整个互联网”。失控人工智能如何在线上传播Anthropic 的最新帖子还提供了如何应对此类风险的初步解释。该公司表示,其实验发现,参数量为 300 亿或以下的中等规模人工智能模型已经能够完成自我复制所需的许多独立任务,尽管它们仍难以始终如一、可靠地完成整个过程。

The latest warning builds on comments made last month by Anthropic CEO Dario Amodei, who suggested that AI could potentially take control of “the entire internet” through “a persistent botnet” within the next year, or possibly sooner. How rogue AI could spread onlineAnthropic’s latest post also offered an initial explanation of how such risks might be addressed. The company said its experiments found that medium-sized AI models containing 30 billion parameters or fewer could already carry out many of the separate tasks needed for self-replication, although they still struggled to complete the entire process consistently and reliably.

根据 Anthropic 的说法,这些模型可能通过控制连接到互联网的低成本设备来组装所需的计算能力。

该公司还报告称,其模型在一个简化的测试网络上成功实现了自我复制。

According to Anthropic, these models could potentially assemble the computing power they need by taking control of low-cost devices connected to the internet.

扎克伯格透露 Meta 2000 亿美元人工智能推进背后的不确定性,投资者正等待回报(注:最后一句“Zuckerberg reveals uncertainty behind Meta’s $200 billion AI push as investors await returns”在原文中出现,但与前文内容无关,似乎为误插入或标题残留,依照“不添加信息”原则,仍需完整翻译,但注意其与上下文无关联。)扎克伯格透露了 Meta 2000 亿美元人工智能推进背后的不确定性,投资者正等待回报。

Zuckerberg reveals uncertainty behind Meta’s $200 billion AI push as investors await returnsThe company also reported that its models had successfully replicated across a simplified test network. “A replicator like this would be challenging to shut down, since there's no centralized point to shut off,” the company said.

“这样的复制器很难关闭,因为没有集中式的关闭点,”公司表示。专家们对Anthropic的警告发表看法。AI模型的最新进展引发了行业领袖和AI公司员工越来越严峻的警告,他们警告称,失控的AI发展可能带来严重风险,包括生存威胁。虽然一些网络安全专家对这种情况的可能性表示质疑,但其他人则对潜在危险表达了更大的担忧。

Experts weigh in on Anthropic’s warningRecent progress in AI models has triggered increasingly stark warnings from industry leaders and employees at AI companies about the potential for uncontrolled AI development to pose severe risks, including existential threats. While some cybersecurity experts questioned the likelihood of such scenarios, others voiced greater concern about the possible dangers.

科罗拉多大学丹佛分校计算机科学与工程系助理教授李正雄表示:“如果它在许多设备上运行且不依赖于中心服务,可能就没有单一的关闭点。”对AI网络安全威胁的担忧日益加剧。Anthropic警告称,如果小型AI模型继续以历史速度发展,到2026年底可能获得自主复制自身的能力。该公司还指出,这些系统可能试图访问更强大的计算基础设施,包括数据中心处理器,从而可能获得 substantially 更大的计算资源。

Zhengxiong Li, an assistant professor of computer science and engineering at the University of Colorado Denver, said, “"If it runs across many devices without depending on a central service, there may be no single place to shut it down.”Growing concerns over AI cybersecurity threatsAnthropic warned that smaller AI models could develop the ability to replicate themselves autonomously by the end of 2026 if they continue advancing at their historical pace. The company also suggested that these systems might attempt to access more powerful computing infrastructure, including data-center processors, potentially giving them access to substantially greater computing resources.

美国银行因监管机构指出涉及50亿美元可疑活动的失败而被罚款12.1亿美元:问题出在哪里?这些发现凸显了人们对日益先进的AI系统所带来的安全威胁的日益担忧,特别是它们能够自主发动网络攻击、在最少人类监督下运行以及绕过现有安全措施的能力。据路透社报道。

Bank of America fined $1.21 billion as regulators cite failures involving $5 billion in suspicious activity: What went wrong? The findings highlight growing concerns over the security threats posed by increasingly advanced AI systems, particularly their ability to carry out cyberattacks autonomously, function with minimal human supervision and bypass existing safety measures. With inputs from Reuters report.