Anthropic releases new Mythos and Fable models amid RSI concerns
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.
https://techcrunch.com/2026/11/09/anthropic-releases-new-mythos-and-fable-models-amid-rsi-concerns/Reposted. Will be removed on request. All rights belong to the original author.
More from this batch
Meta releases Muse Ember, a new lightweight model for agent execution
Meta Superintelligence Lab's Muse Ember is its lightest, cheapest model yet at 10 cents per million input tokens, built to handle high-volum…
接替佩洛西进国会的 Scott Wiener:要把 AI 监管带到联邦层面,称 METR 的 RSI 报告「非常令人担忧」
Wiener 在加州参议员任上主导过前沿 AI 风险立法,刚赢下旧金山众议员席位。他接受采访时表示原本希望国会年底前采取果断行动,但看来不会发生。对在美国做 AI 落地的企业来说,联邦层面的前沿模型监管讨论可能会因他提速。
苹果开始卖 AI 用量包:Logic Pro 里 49.99 美元一次性购买,延长依赖 OpenAI / Gemini 云端模型的 Apple Intelligence 功能
Logic Pro 是第一个对 Apple Intelligence 超额用量收费的苹果应用,用量包不能家庭共享,未用完的按月滚存、12 个月后过期;本月还会加到 Final Cut Pro、Pixelmator Pro、Pages、Keynote 等应用。苹果把云端模型成本直接…
Instagram 上线 Effect Builder:用一句提示词生成 Stories 滤镜,审核通过后所有人可用
面向美国 18 岁以上用户的网页工具,可附风格参考图、上传照片预览并多轮修改,提交后需过安全审核。作者实测让 AI 改写提示词后,结果和原来的一句话版本几乎一样。Meta 正把生成式 AI 接进创作者工具链。
Introducing Claude Fable 5.2 and Claude Mythos 5.2
Claude Fable 5.2 and Claude Mythos 5.2, Anthropic's new models for the hardest technical challenges, beat Opus 5.5 on almost every evaluated…
CPU-ARC:把大模型的推理过程缓存成能在 CPU 上跑的程序,复用时比原模型便宜 16–291 倍
NVIDIA 研究者(Belcak、Molchanov 等)认为大模型总在重复造轮子:解题和执行解法混在一起,每次从头推理。他们把 LLM 推理轨迹构造成可在 CPU 执行的「智能体推理缓存」,在多项数学和科学任务上与前沿 LLM 持平,可解释、可持续训练、对输入扰动稳健。对企业…
PCBRouteAgent:大模型智能体离 PCB 布线工程师还有多远?全局规划 + KiCad 原生布线器执行
全局布线规划器结合电路板图像和结构化电气/几何信息,定好连接拓扑、布线顺序、通道和换层;详细执行器调用 KiCad 原生布线引擎并做局部恢复,失败以结构化反馈回传修正。在 247 块合成和真实电路板上,三个真实子集的一次干净通过率比最强基线高 13.9、36、10 个百分点,但最…
用 Holoscan 5 让机械臂「失重」:手把手做重力补偿控制回路,并用 Nsight 看延迟和抖动
Holoscan 5 新增机器人控制能力。教程演示写自定义 Holoscan SDK 算子、连成图,持续计算机械臂逆动力学,让电机刚好托住自身重量,人可以直接用手拖动示教;在真机上测试,并用内置 Nsight Systems 标注检查延迟和抖动,已在 Jetson 上验证。做示教…
Claude Code is accidentally exposing secrets all over GitHub
Apiiro found over 100,000 public GitHub repos containing Claude Code's local settings file, about 1,100 of them with secrets such as API tok…
AWS 给出七层可插拔企业智能体参考架构:每层有稳定契约,可在任一层换技术而不重做整栈(基于 Bedrock AgentCore)
针对 PoC 到生产的鸿沟:上千并发、静默失败、上线后质量和安全是否还达标、安全最佳实践。七层从数据与知识层(检索、向量、结构化/非结构化数据)往上,各层职责独立,图中的服务只是参考实现、可替换成已有设施。适合 FDE 拿来对照客户现有架构做分层评审,深度为 400 级。
CrossnoKaye 案例:把工业「物理 AI」接到实时工厂数据,在 AgentCore 隔离沙箱里跑可验证的 Python,给工程师有数学依据的答案
工业现场的 PLC、DCS、历史数据库、SCADA 各家命名不一,控制逻辑锁在私有控制器代码里,外挂智能体很难用,还要四处分发 OT 凭据。CrossnoKaye 的 ATLAS 平台和 AURA 智能体系统把推理锚定在实时工厂数据上,用沙箱代码执行代替模型瞎猜。做制造业、能源客…
Amazon Quick 改名 AWS Quick 并首投品牌广告:只为工作打造的 AI 工作区,3M、宝马、Mondelez 等在用
AWS 定位它为跨企业已有数据和应用做研究、分析和执行的智能体工作区,强调个人助手的效率提升只停留在个人,而 Quick 让上下文在团队和公司层面复用。广告在美英两地投放。是 AWS 与 Microsoft Copilot、ChatGPT Enterprise 抢企业知识工作入口…