布萊嗯研究所

透過開源重建，揭開大模型「隱藏推理」與遞歸深度架構的神秘面紗。 Unveiling the mystery of "hidden reasoning" and recurrent-depth architectures in LLMs through open-source reconstruction. 🔎 工具速覽 / AT A GLANCE Category AI Architecture / Research Pricing Free (Open Source) BestFor AI Researchers, LLM Architects, Deep Learning Enthusiasts GitHub Stars ⭐ 1274 🚀 引言 / Introduction 在當前大語言模型（LLM）的競賽中，人們對 Claude 等頂尖模型如何實現強大的邏輯推理能力充滿好奇。傳統的 Transformer 依賴於堆疊數百層參數，但這是否是唯一路徑？OpenMythos 提出了一個大膽的理論假設：模型可能採用了「遞歸深度變壓器」（Recurrent-Depth Transformer），讓權重在內部循環運算，實現「沉默的思考」。 In the current LLM race, there is immense curiosity about how top-tier models like Claude achieve powerful logical reasoning. Traditional Transformers rely on stacking hundreds of unique layers, but is this the only path? OpenMythos proposes a bold theoretical hypothesis: models may employ a "Recurrent-...

Here is the professionally crafted blog post optimized for SEO and technical authority. --- ### [TITLE] **解密 Claude 的「深度思考」：OpenMythos 帶你探索遞迴深度 Transformer (RDT) 的奧秘 🧠✨** **Decoding Claude's "Deep Thinking": Exploring the Secrets of Recurrent-Depth Transformers (RDT) with OpenMythos 🧠✨** --- ### [IMAGE_PROMPT] *A hyper-realistic 8k cinematic render of a neural network architecture. A central glowing core of a Transformer block with a recursive, looping neon blue energy circuit swirling around it. Background is a dark, futuristic laboratory aesthetic with floating mathematical formulas of linear algebra and tensors. High contrast, cyberpunk blue and gold lighting, volumetric fog, Unreal Engine 5 style.* --- ### [LABELS] `#LLM` `#OpenSource` `#RecurrentDepthTransformer` `#ClaudeMythos` `#GenerativeAI` `#DeepLearning` `#GitHub` `#NeuralArchitecture` --- ### [CONTENT] #### 🚀 引言 | Introduction 在當前 LLM 的軍備競賽中，大家都在討論「推理能力」。但你是否好奇，為什麼某些模型（如 Claude）在處理複雜邏輯時展現出異常的深度？答案可能不在於「堆疊更多...

Here is the professional technology column article optimized for SEO. --- ### [TITLE] **從網頁到 Design System 只要一秒！解析 `design-extract`：將任何網站轉化為開發者就緒的設計令牌 🎨🚀** **From Website to Design System in One Second! Decoding `design-extract`: Turning Any Site into Developer-Ready Design Tokens 🎨🚀** --- ### [IMAGE_PROMPT] `A high-tech, 8k resolution cinematic render of a futuristic digital prism. A complex website interface is entering one side of the prism and emerging from the other side as neatly organized, glowing 3D code blocks, Tailwind CSS configurations, and Figma variable tokens. Neon blue and deep purple lighting, cyberpunk aesthetic, floating holographic UI elements, ultra-detailed, professional software architecture visualization.` --- ### [LABELS] `#DesignTokens` `#TailwindCSS` `#OpenSource` `#FrontendEngineering` `#AI-DrivenDevelopment` `#DesignSystem` `#GitHub` `#UIUX` `#MCP-Server` `#HeadlessBrowser` --- ### [CONTENT] #### 🚀 引言 | Introduction 在現代前端開發中，「從設計稿到程式碼」的轉換過程向來是開發者與設計師之間...

# [TITLE] ## 🔓 解碼 Claude Mythos：OpenMythos 帶你探索「循環深度 Transformer」的推理之謎 🌀 ## Decoding Claude Mythos: Exploring the Mystery of "Recurrent-Depth Transformers" with OpenMythos 🌀 --- # [IMAGE_PROMPT] *A hyper-realistic 8k cinematic shot of a futuristic neural network architecture. The image features a glowing, iridescent, looped crystalline structure representing a recurrent transformer block, with data streams flowing in a recursive spiral. Neon blue and deep violet lighting, cybernetic circuitry background, high-tech laboratory atmosphere, volumetric lighting, Unreal Engine 5 render, extremely detailed.* --- # [LABELS] `#LLM` `#OpenSource` `#Transformer` `#RecurrentDepthTransformer` `#ClaudeMythos` `#DeepLearning` `#AIArchitecture` `#GitHub` `#Python` `#NeuralNetworks` --- # [CONTENT] ### 🚀 引言 | Introduction 在當前 LLM 的軍備競賽中，大家都在關注模型參數的規模，但真正的「思考能力」是否能透過架構創新而實現？**OpenMythos** 是一個令人興奮的開源嘗試，它試圖從第一原理出發，基於公開研究文獻重建被傳說中的「Claude Mythos」架構。 In the current LLM arms race, everyone is fo...

在開發 AI 多智能體（Multi-Agent）模擬時，開發者面臨的最大痛點是： 「環境定義的極高成本」 。傳統方式需要為每個場景編寫大量冗長的 Prompt、硬編碼物理規則，並を手動處理複雜的資訊不對稱（例如：誰能看到什麼）。如果你想從「辦公室政治」場景切換到「茶館間諜」場景，幾乎得重寫整個邏輯層。 WorldSeed 的出現正是為了擊碎這種僵局。它將「世界規則」與「執行引擎」徹底解耦，讓開發者只需通過簡單的 YAML 配置即可生成一個具有物理規則、資訊隔離且能自主演化的 AI 世界。在 LLM 邁向自主 Agent 的今天，WorldSeed 提供了將 AI 從「聊天機器人」轉化為「社會參與者」的關鍵基礎設施。 When developing Multi-Agent AI simulations, developers face a critical pain point: 'The exorbitant cost of environment definition.' Traditional methods require writing exhaustive prompts for every scene, hard-coding physical rules, and manually managing complex information asymmetry (e.g., who sees what). Switching from an 'office politics' scenario to a 'teahouse espionage' setting would typically mean rewriting the entire logic layer. WorldSeed is designed to shatter this bottleneck. By completely decoupling 'world rules' from the 'execution engine,' it allows developers to generate an autonomous, evol...

[CN] 在 AI 驅動開發的時代，開發者面臨的最大痛點不再是寫代碼，而是如何精準地向 AI 描述「視覺風格」。傳統上，我們需要手動分析對手的 CSS、記錄顏色數值、定義間距，再將這些碎片化資訊餵給 AI，結果往往是 AI 生成的界面與預期相去甚遠。 design-md-chrome 徹底擊碎了這個過程，它能將任何網站的視覺基因直接轉化為標準化的 DESIGN.md 檔案。這讓 AI 擁有了一套「視覺指令集」，讓 AI 生成的 UI 不再是隨機的，而是具備精準設計系統的工業級產出。 [EN] In the era of AI-driven development, the biggest pain point for developers is no longer writing code, but accurately describing "visual styles" to AI. Traditionally, we had to manually analyze CSS, record color values, and define spacing, then feed these fragmented bits to an AI, often resulting in interfaces that missed the mark. design-md-chrome shatters this workflow by extracting the visual DNA of any website and converting it into a standardized DESIGN.md file. This provides AI with a "visual instruction set," ensuring that AI-generated UIs are no longer random but professional outputs based on a precise design system. 🛠️ 核心功能 | Key Features [CN] 一...