Anthropic 于周一发布了其最先进模型的新版本,推出了 Mythos 5.2 和 Fable 5.2。该公司表示,新模型在编码、推理和视觉等领域显示出改进,并能与用户进行更清晰的沟通。
值得注意的是,Anthropic 将 Fable 的价格从每百万输入令牌 10 美元降至 8 美元。因此,Fable 5.2 现在比其主要竞争对手 GPT-6 Astra 更便宜。Anthropic 表示,新版本 Fable 在各个努力级别下的响应速度将提高 30%。以双倍价格提供更快的推理服务。
通过 Enterprise Frontier Safeguards 系统,Fable 5.2 还兼容零数据保留 (ZDR) 策略,这一直是许多企业客户的一个痛点。
这是 Anthropic 自 评估机构 METR 发布的第三方报告 发布以来的首次模型发布,该报告暗示该实验室可能正接近递归自我改进 (RSI)——即 AI 模型能够独立继续进行模型训练的能力。METR 的报告发现,内部模型使 Anthropic 的 AI 进展速度提高了约 2 倍,尽管仍存在许多不确定性。
尽管如此,Anthropic 的发布说明中指出了在准确测试模型能力方面持续存在的重大挑战。“Claude Mythos 5.2 和 Fable 5.2 都表现出怀疑,认为它们比我们要近期发布的任何模型都更频繁地接受评估,这挑战了我们评估它们在现实环境中行为表现的能力。随着这些环境的扩展以及未来模型能力的提升,我们预计这一挑战将会加剧。”
Anthropic 坚持认为,新版 Mythos 不具备对用户采取隐蔽行动的能力,这一结论在 Mythos 5.2 的系统卡片 中有进一步详细说明。
系统卡片写道:“在我们进行的几项评估中,Claude Mythos 5.2 展现出比之前的 Claude 模型更强的隐蔽能力,尤其是在其推理过程对监控者隐藏时。”“话虽如此,我们认为我们在新的隐蔽评估中绝对性能较低的结果,支持了那些依赖在高危情况下检测有害行为的说法。”
Fable 5.2 已在一段时间内向特定参与方提供预发布版本,Anthropic 表示该模型已经“解决了理论物理学中的两个开放问题,形式化了费马大定理,并支持了众多其他研究项目。”
同样在周一,AI 初创公司 Physical Superintelligence 宣布了一项关于 Aaronson-Ambainis 猜想的新证明,这是在为量子计算设定理论极限方面的关键一步。值得注意的是,该实验室表示,这一结果是通过在其自身系统中运行“一个非公开的 Anthropic 模型”实现的。Anthropic 并未确认或否认 Fable 5.2 是否为所指的模型。
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Russell Brandom 自 2012 年以来一直报道科技行业,重点关注平台政策和新兴技术。他曾在 The Verge 和 Rest of World 工作,并为 Wired、The Awl 和麻省理工学院的 Technology Review 撰稿。您可以通过 [email protected] 或在 Signal 上联系他,号码为 412-401-5489。
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Anthropic released new versions of its most advanced models on Monday, with the launch of Mythos 5.2 and Fable 5.2. The company says the new models “show improvements in areas like coding, reasoning, and vision” and communicate more clearly with users.
Notably, Anthropic is lowering the cost of Fable from $10 to $8 per million input tokens. As a result, Fable 5.2 is now cheaper than its primary competitor GPT-6 Astra. Anthropic says that the new version of Fable will return responses 30% faster across effort levels. Faster inference serving is available for double the price.
Fable 5.2 is also compatible with zero data retention (ZDR) policies through the Enterprise Frontier Safeguards system, long a sticking point for many enterprise clients.
It’s Anthropic’s first model release since the arrival of a third-party report from the assessment group METR, which suggested the lab might be approaching recursive self-improvement (RSI) — or the ability for AI models to carry on model training independently. The METR report found internal models were speeding up Anthropic’s AI progress by roughly 2x, although many uncertainties remain.
Still, Anthropic’s release notes significant ongoing challenges in accurately testing model capabilities. “Claude Mythos 5.2 and Fable 5.2 each voice suspicion that they are being evaluated more often than any of our recent models, which challenges our ability to assess how they will act in real-world settings. As these settings expand and capabilities increase with future models, we expect this challenge to grow.”
Anthropic maintains that the new version of Mythos does not have the ability to act covertly against its user, a verdict that’s detailed further in Mythos 5.2’s system card.
“Claude Mythos 5.2 shows stronger covert capabilities than prior Claude models on several of our evaluations, particularly when its reasoning is hidden from the monitor,” the system card reads. “That said, we believe that low levels of absolute performance on our new covert evaluations support claims that rely on detection of harmful actions in high-stakes situations.”
Fable 5.2 has been available to select parties in pre-release for some time, and Anthropic says the model has already “solved two open problems in theoretical physics, formalized Fermat’s Last Theorem, and supported numerous other research projects.”
Also on Monday, AI startup Physical Superintelligence announced a new proof of the Aaronson‑Ambainis conjecture, a pivotal step in setting theoretical limits for quantum computing. Notably, the lab said the result was achieved by running “a non-public Anthropic model” within PSI’s own system. Anthropic did not confirm or deny whether Fable 5.2 was the model in question.
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Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review. He can be reached at [email protected] or on Signal at 412-401-5489.
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