Anthropic Releases New Claude Fable 5 and Mythos 5 AI Models
Anthropic 發佈全新 Claude Fable 5 與 Mythos 5 AI 模型
Introduction
Anthropic has released Claude Fable 5 for the general public and Claude Mythos 5 for a small group of trusted partners. This marks the first time the company has made its most advanced model architecture widely available.
Anthropic 已向大眾發佈 Claude Fable 5，並向少數受信任的合作夥伴提供 Claude Mythos 5。這標誌著該公司首次將其最先進的模型架構廣泛開放。
Main Body
The release follows a preview version of the Mythos model, which was known for its ability to find serious software bugs. To prevent people from using the AI for harmful purposes in fields like cybersecurity, biology, and chemistry, Anthropic added safety filters to Claude Fable 5. If a user asks a dangerous question, the system automatically switches the request to the older Claude Opus 4.8 model. Anthropic emphasized that after more than 1,000 hours of safety testing, about 95% of sessions stayed on the Fable 5 model without needing to switch.
此次發佈繼 Mythos 模型的預覽版之後，該版本以能發現嚴重的軟體漏洞而聞名。為了防止人們將 AI 用於網路安全、生物學和化學等有害目的，Anthropic 在 Claude Fable 5 中加入了安全過濾機制。如果使用者提出危險問題，系統會自動將請求切換至舊版的 Claude Opus 4.8 模型。Anthropic 強調，經過 1,000 多小時的安全測試，約 95% 的對話仍維持在 Fable 5 模型而無需切換。
At the same time, Claude Mythos 5 is available to a limited group called Project Glasswing, which includes 200 organizations and the U.S. government. This restricted access allows researchers and security experts to use the model's full power to create new scientific theories and find system flaws. Furthermore, the company has introduced a mandatory 30-day data storage rule for all users to protect against new types of attacks, even for clients who previously had no data stored.
與此同時，Claude Mythos 5 僅向名為 Project Glasswing 的限定小組開放，其中包括 200 個組織及美國政府。這種受限的訪問權限允許研究人員和安全專家利用模型的全部能力來創造新的科學理論並發現系統缺陷。此外，公司為所有使用者引入了強制性的 30 天數據儲存規則，以防範新類型的攻擊，即使是先前未儲存數據的客戶亦然。
From a business perspective, both new models cost twice as much as Opus 4.8, with prices set at $10 per million input tokens and $50 per million output tokens. Despite the higher cost, companies like Rakuten and Base44 reported that the models provide a better return on investment because they are much better at autonomous tasks and software engineering. This rollout happens as Anthropic prepares for a public stock offering (IPO) and reaches a reported value of $965 billion.
從商業角度來看，這兩款新模型的成本均為 Opus 4.8 的兩倍，價格設定為每百萬輸入 token 10 美元，每百萬輸出 token 50 美元。儘管成本較高，但 Rakuten 和 Base44 等公司報告稱，由於模型在自主任務和軟體工程方面的表現大幅提升，因此提供了更好的投資回報。此次推出正值 Anthropic 準備首次公開募股 (IPO) 且據報估值達到 9,650 億美元之際。
Conclusion
Anthropic has moved its most powerful AI from a private preview to a tiered system for the public and partners, combining strict safety measures with a premium pricing strategy.
Anthropic 將其最強大的 AI 從私人預覽轉為面向大眾與合作夥伴的分層系統，將嚴格的安全措施與高端定價策略相結合。
Vocabulary Learning
🚀 The 'B2 Logic' Shift: Moving from Simple to Complex Connections
At the A2 level, you usually connect ideas with and, but, or because. To reach B2, you need to use Logical Connectors that show a professional relationship between two ideas.
Look at how this text moves beyond basic English:
🛠️ The Transition Toolkit
| Instead of A2 (Simple) | Use B2 (Advanced) | Example from Text |
|---|---|---|
| And / Also | Furthermore | "Furthermore, the company has introduced a mandatory 30-day data storage rule..." |
| But | Despite | "Despite the higher cost, companies... reported a better return on investment." |
Why this matters:
- Furthermore tells the reader: "I am adding a new, important point to my argument."
- Despite tells the reader: "I am acknowledging a problem (high cost), but the result is still positive."
💡 Pro-Tip: The 'Despite' Structure
A2 students often say: "The cost is high, but it is good." B2 students say: "Despite [Noun/Phrase], [Main Clause]."
Example: Despite + the higher cost (The Problem) companies reported a better return (The Surprise/Result).
🔍 Vocabulary Upgrade: From 'General' to 'Precise'
Stop using "good" or "bad." Notice these B2-level replacements in the article:
- ❌ Good for business ✅ Better return on investment
- ❌ Available for some ✅ Restricted access
- ❌ Danger ✅ System flaws / Harmful purposes