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BackClaude Fable 5.2使用千個 AI 代理30小時完成費馬定理形式化證明
Claude Fable 5.2使用千個 AI 代理30小時完成費馬定理形式化證明
Developing
自由时报22 minutes agoTech5 min readChinaView translation

Claude Fable 5.2使用千個 AI 代理30小時完成費馬定理形式化證明

新模型主打大型程式開發、科學研究及自主執行任務,並同步調降 API 價格

Quick Look

Anthropic 本周一發表高階 AI 模型 Claude Fable 5.2 與專業機構專用的 Claude Mythos 5.2。Fable 5.2 在 Artificial Analysis 取得 65 分登上綜合排行榜首位,API 價格較前代便宜 20%,並展現出在程式開發與科學研究上的自主執行能力。

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Why It Matters

Anthropic 發表最新高階模型 Claude Fable 5.2 與 Mythos 5.2,主打大型程式開發與科學研究。

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Anthropic 本周一發表最新高階模型 Claude Fable 5.2,並同步推出限定專業機構使用的 Claude Mythos 5.2,主打大型程式開發、科學研究及長時間自主執行任務。Fable 5.2 在第三方評測機構 Artificial Analysis 最新 Intelligence Index 取得65分,登上綜合排行榜首位。Anthropic 也調降兩款模型的 API 價格,每百萬輸入及輸出 token 分別收費8美元、40美元,比前代便宜20%。

這次發表最受關注的成果之一,是使用了約一千個 Fable 5.2 AI 代理在30小時內完成費馬最後定理的形式化證明。費馬最後定理早已由數學家證明,形式化工作則是將既有數學推導轉換成電腦可以逐步檢查的內容。Anthropic 今年9月曾利用內部研究模型完成相同工作,當時耗費11天,還需要專門設計的驗證工具及研究人員指導。這次改由大量代理分工處理,人工介入程度大幅降低,產生的證明也比前次精簡許多。

軟體工程方面,Anthropic 表示,Fable 5.2 已協助內部團隊處理原本成本過高、難以推動的大型專案。其中一項測試將重要的正式環境服務從 Python 遷移至 Rust,完成後的系統啟動速度提高約26倍。另一項實驗則讓模型協調超過1000個子代理,花費8天從空白資料夾建立可在筆電啟動的作業系統原型,包含檔案儲存、鍵盤、網路、視窗界面及登入功能。Anthropic 也將 Fable 5.2 用於硬體與理論物理研究。團隊與電路板設計公司 Diode 合作,讓模型負責挑選電子零件、設計電路板、規劃外殼及撰寫軟體,最後製作出語音助理控制器、USB 會議設備及掌上型電子寵物三款可運作裝置。實體電路板的製造與組裝仍由合作廠商參與,並非完全由 AI 獨立完成。

在科學研究方面,Anthropic 宣稱 Fable 5.2 協助解決兩項與黑洞及量子重力相關的未解理論問題。其中一項涉及黑洞在特定量子條件下的形成過程,另一項則針對長年使用的量子重力理論分析方法提出更精確的界限。相關成果已整理為研究預印本,但仍需接受後續學術檢驗。

模型評測也顯示出新版本的進步。依 Anthropic 公布的數據,Fable 5.2 在 FrontierCode 2.0 代理式程式開發測試取得49.1%,高於 Claude Opus 5.5 的45.5%、OpenAI GPT-6 Astra 的42.8%及 Google Gemini 4 Carbon 的41.1%。在 FrontierSWE v2 軟體工程評測中,Fable 5.2 也以69.9%領先。不過,Google Gemini 4 Carbon 在 AutomationBench 取得53.9%,仍高於 Fable 5.2 的51.4%,各模型在不同工作上的表現並不一致。第三方 Artificial Analysis 則給予 Fable 5.2 最高65分的綜合評價,超越先前領先的 Gemini 4 Carbon。不過,高推理設定通常需要消耗更多 token,不能只憑排行榜分數判斷實際使用成本。Anthropic 也建議,多數一般程式開發與知識工作仍可先使用 Opus 5.5,遇到特別複雜、需要長時間規劃的任務,再考慮切換至 Fable。

在價格方面,Fable 5.2 與 Mythos 5.2 均從前代每百萬輸入10美元、輸出50美元,降至8美元與40美元。Anthropic 宣稱,新版本的文字生成速度最高提升30%,另外提供可選的快速模式,最快能再提高約2.5倍,但輸入與輸出費率也分別增加至16美元及80美元。兩款模型均支援100萬 token 上下文,單次最大輸出12.8萬 token,訓練知識截止時間為2026年6月。

Fable 與 Mythos 使用相同的底層模型,主要差別在高風險用途的限制。Fable 5.2 會限制漏洞利用程式開發、部分滲透測試及敏感生物研究等要求,適合一般專業工作;Mythos 5.2 則開放更多資安與生命科學研究能力,但必須通過 Anthropic 的身分及用途驗證。後者已開始提供給符合資格的機構申請,並非一般訂戶可以直接選用的版本。Anthropic 表示,Mythos 5.2 在內部漏洞重新發現測試中,比前代找出更多已知安全問題。Mozilla 也參與了新版本的測試,Firefox 工程團隊回報,新模型在漏洞研究方面比 Mythos 5.1 有明顯改善。一般企業客戶則可透過 Claude Security 使用包含 Mythos 5.2 在內的模型能力,進行程式碼安全掃描。

Claude Fable 5.2 已於11月9日上線,支援符合資格的 Claude 付費方案、Claude Code 及 Claude API,開發者可使用模型識別碼「claude-fable-5-2」串接。Amazon Web Services、Google Cloud 與 Microsoft Azure 也已納入供應平台。Anthropic 同時為部分付費訂戶提供限時額外使用額度,實際可用量依訂閱等級及帳號資格而異。

What to Watch

AI outlook — possibilities, not facts

  • Fable 5.2 與 Mythos 5.2 將透過各大雲端平台提供服務

    Very likely · Within days

Open Questions

  • Mythos 5.2 對一般企業的具體開放時程為何?
  • 實際市場應用的效能反饋如何?

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