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依日期瀏覽所有文章
407 篇文章
3 年
2026
354 篇文章September
August
- Aug 24
AI Agent Weekly Overview W34: The Harness Becomes the Shared Capability and Security Boundary (Industry × Research × Open Source)
- Aug 24
AI Agent 週報總覽 W34:harness 成為能力與安全的共同邊界(產業×研究×開源)
- Aug 24
AI Agent Open-Source Weekly W34: Harnesses Split into Plugins, Context, and Isolated Computers (DeepSeek Harness, Headroom, OpenBot)
- Aug 24
AI Agent 開源週報 W34:harness 生態拆出插件、context 與獨立電腦(DeepSeek Harness、Headroom、OpenBot)
- Aug 24
AI Agent Frontier Research Weekly W34: The Harness Becomes a Trainable Capability Layer (ClawGym II, HarnessEval-W, Anything2Skill)
- Aug 24
AI Agent 前沿研究週報 W34:harness 從介面升級為可訓練能力層(ClawGym II、HarnessEval-W、Anything2Skill)
- Aug 24
AI Agent Industry Weekly W34: Capability Pushes Control Down into the Runtime (OpenAI, NVIDIA AVO, Alipay)
- Aug 24
AI Agent 產業週報 W34:能力越強,控制邊界越往 runtime 下沉(OpenAI、NVIDIA AVO、支付寶)
- Aug 17
AI Agent Weekly Overview W33: The Control Plane Replaces Single-Model Worship (Industry × Research × Open Source)
- Aug 17
AI Agent 週報總覽 W33:控制面取代單模型崇拜(產業×研究×開源)
- Aug 17
AI Agent Open-Source Weekly W33: Multi-Agent Engineering Adds Orchestration and Testing (agent-orchestrator, ADK Go, aimock)
- Aug 17
AI Agent 開源週報 W33:多 Agent 工程補齊編排與測試(agent-orchestrator、ADK Go、aimock)
- Aug 17
AI Agent Frontier Research Weekly W33: Interfaces and Trajectories Are the Real Variables (SWE-Bench ProMax, Recursive Synthesis, TraceSafe)
- Aug 17
AI Agent 前沿研究週報 W33:真正的變數是介面與軌跡(SWE-Bench ProMax、Recursive Synthesis、TraceSafe)
- Aug 17
AI Agent Industry Weekly W33: Competition Moves to Routing and Governance (Gemini 3.7 Flash, Grok 4.6, Switchyard)
- Aug 17
AI Agent 產業週報 W33:模型競賽進入路由與治理層(Gemini 3.7 Flash、Grok 4.6、Switchyard)
- Aug 11
別讓 AI 重學三百年物理:PIML 真正重要的不是多一個 Loss
- Aug 11
PCA 壓縮自然影像:為什麼找出主要方向還不夠?
- Aug 11
Laplacian operator 介紹:一個算子如何看見曲率、擴散與邊界
- Aug 10
Grid cells 深度介紹:從六角放電到路徑整合假說
- Aug 10
Edward Tolman:當老鼠在迷宮裡學會一張看不見的地圖
- Aug 10
PCA 到底在做什麼?從幾何直覺、特徵值到 SVD 的完整推導
- Aug 10
海馬的認知地圖不是地圖:從 Successor Representation 讀懂 place cells 與 grid cells
- Aug 10
AI Agent Weekly Overview W32: Verifiable Recovery Becomes the Moat (Industry × Research × Open Source)
- Aug 10
AI Agent 週報總覽 W32:可驗證恢復成為新護城河(產業×研究×開源)
- Aug 10
AI Agent Open-Source Weekly W32: The Runtime Periphery Becomes Product (OO-Agents, Open Code Review, Headroom)
- Aug 10
AI Agent 開源週報 W32:Runtime 周邊開始產品化(OO-Agents、Open Code Review、Headroom)
- Aug 10
AI Agent Frontier Research Weekly W32: Long Tasks Need Verifiable Recovery (Argus, TRAJDEBUG, ORCA-bench)
- Aug 10
AI Agent 前沿研究週報 W32:長任務的核心是可驗證恢復(Argus、TRAJDEBUG、ORCA-bench)
- Aug 10
AI Agent Industry Weekly W32: Capability Meets Incident Boundaries (GPT-5.6 Sol, AISI, FrontierCode)
- Aug 10
AI Agent 產業週報 W32:能力競賽轉向事故邊界(GPT-5.6 Sol、AISI、FrontierCode)
- Aug 9
方向性學習:大腦如何知道該改哪個突觸?從資格痕跡到 NGRAD
- Aug 9
虛擬老鼠不是人工大腦:它的控制器為什麼能對上真鼠的神經活動?
- Aug 9
把果蠅腦搬上 Loihi 2:connectome 能跑,腦還不能被重建
- Aug 9
Janelia 的兩個大賭注:解腦與 AI-in-the-Loop 會互相驗證嗎?
- Aug 9
大腦真的在做 Backpropagation 嗎?從 NGRAD 看生物學候選機制
- Aug 9
大腦不是在跑 PyTorch:讀〈A deep learning framework for neuroscience〉
- Aug 8
生物大腦怎麼學習:從突觸到多巴胺,把「平均」變成有方向的記憶
- Aug 3
AI Agent Weekly Overview W31: Capability Becomes Reliability Engineering (Industry × Research × Open Source)
- Aug 3
AI Agent 週報總覽 W31:能力競賽進入可靠性工程(產業×研究×開源)
- Aug 3
AI Agent Open-Source Weekly W31: The Harness Layer Takes Shape (Flue, Headroom, Open Code Review)
- Aug 3
AI Agent 開源週報 W31:Harness 基礎設施加速成形(Flue、Headroom、Open Code Review)
- Aug 3
AI Agent Frontier Research Weekly W31: Beyond Success to Policy and Diagnosis (HANDBOOK.md, ORCA-bench)
- Aug 3
AI Agent 前沿研究週報 W31:成功之外要會守規則與診斷(HANDBOOK.md、ORCA-bench)
- Aug 3
AI Agent Industry Weekly W31: Capability Meets the Control Plane (Anthropic, NVIDIA, GPT-Realtime)
- Aug 3
AI Agent 產業週報 W31:能力落地先過控制面(Anthropic、NVIDIA、GPT-Realtime)
July
- Jul 27
AI Agent Weekly Overview W30: From Capability to Governed Execution (Industry × Research × Open Source)
- Jul 27
AI Agent 週報總覽 W30:從會做事走向可治理的執行系統(產業×研究×開源)
- Jul 27
AI Agent Open-Source Weekly W30: The Control Plane Takes Center Stage (Paperclip, QwenPaw, OpenSRE)
- Jul 27
AI Agent 開源週報 W30:控制面成為主角(Paperclip、QwenPaw、OpenSRE)
- Jul 27
AI Agent Frontier Research Weekly W30: Long Horizons Demand New Evaluation (OmniaBench, Workflow Gym, Safety)
- Jul 27
AI Agent 前沿研究週報 W30:長程能力逼出新評測(OmniaBench、Workflow Gym、安全對齊)
- Jul 27
AI Agent Industry Weekly W30: Capability Meets Deployment Governance (Claude Opus 5, Gemini Flash, Presence)
- Jul 27
AI Agent 產業週報 W30:能力競賽轉向部署治理(Claude Opus 5、Gemini Flash、Presence)
- Jul 20
AI Agent Weekly Overview W29: The Real Competition Is the Harness (Industry × Research × Open Source)
- Jul 20
AI Agent 週報總覽 W29:真正的競爭在 Harness(產業×研究×開源)
- Jul 20
AI Agent Open-Source Weekly W29: Harness Engineering Becomes Product (Agent Framework Go, CORAL, Browser Use)
- Jul 20
AI Agent 開源週報 W29:Harness 工程走向產品化(Agent Framework Go、CORAL、Browser Use)
- Jul 20
AI Agent Frontier Research Weekly W29: Harnesses Learn—and Need Fair Tests (MemoHarness, E3, GPT-Red)
- Jul 20
AI Agent 前沿研究週報 W29:Harness 開始學習,也必須被公平評測(MemoHarness、E3、GPT-Red)
- Jul 20
AI Agent Industry Weekly W29: The Operational Runtime Wins (Grok 4.5, AgentCore, Qwen Cloud)
- Jul 20
AI Agent 產業週報 W29:競爭轉向可營運執行層(Grok 4.5、AgentCore、Qwen Cloud)
- Jul 13
AI Agent Weekly Overview W28: Stronger Runtimes Meet Reliability and Permission Limits (Industry × Research × Open Source)
- Jul 13
AI Agent 週報總覽 W28:Runtime 變強,可靠度與權限成為瓶頸(產業×研究×開源)
- Jul 13
AI Agent Open-Source Weekly W28: Skills, MCP, and Harnesses Become Composable Infrastructure (stitch-skills, DesktopCommanderMCP, claude-code-templates)
- Jul 13
AI Agent 開源週報 W28:Skills、MCP 與 Harness 成為可組裝基礎設施(stitch-skills、DesktopCommanderMCP、claude-code-templates)
- Jul 13
AI Agent Frontier Research Weekly W28: Long Tasks Fail as Systems (Failure Taxonomy, OSWorld 2.0, PlanBench-XL)
- Jul 13
AI Agent 前沿研究週報 W28:長任務失敗不是單點錯誤(Failure Taxonomy、OSWorld 2.0、PlanBench-XL)
- Jul 13
AI Agent Industry Weekly W28: Models Become Agent Runtimes (GPT-5.6, Muse Spark 1.1, GPT-Live)
- Jul 13
AI Agent 產業週報 W28:模型成為 Agent 執行層(GPT-5.6、Muse Spark 1.1、GPT-Live)
- Jul 6
AI Agent Weekly Overview W27: Controlled Deployment Becomes the Theme (Industry × Research × Open Source)
- Jul 6
AI Agent 週報總覽 W27:可控部署成為主題(產業×研究×開源)
- Jul 6
AI Agent Open-Source Weekly W27: Skills, Terminals, and Personal Assistants Become New Control Planes (Warp, OpenClaw, Agent Skills)
- Jul 6
AI Agent 開源週報 W27:技能庫、終端與個人助理成為新控制面(Warp、OpenClaw、Agent Skills)
- Jul 6
AI Agent Frontier Research Weekly W27: Proxy Evals, Tool Architecture, and Self-Updating Planning Memory (PACE, MCP Patterns, WorldEvolver)
- Jul 6
AI Agent 前沿研究週報 W27:評測代理化、工具架構化、記憶進入規劃迴路(PACE、MCP Patterns、WorldEvolver)
- Jul 6
AI Agent Industry Weekly W27: Deployment Moves Into Cost and Safety Control (Claude Sonnet 5, Fable 5, Claude Science)
- Jul 6
AI Agent 產業週報 W27:部署進入可控成本與安全審核週期(Claude Sonnet 5、Fable 5、Claude Science)
June
- Jun 29
AI Agent Weekly Overview W26: Agents Enter the Operating Cycle (Industry × Research × Open Source)
- Jun 29
AI Agent 週報總覽 W26:Agent 進入營運週期(產業×研究×開源)
- Jun 29
AI Agent Open-Source Weekly W26: Terminal Agents, Computer Use, and World-Model Repos Accelerate Together
- Jun 29
AI Agent 開源週報 W26:Terminal Agent、Computer Use 與 World Model Repo 同步加速
- Jun 29
AI Agent Frontier Research Weekly W26: Evaluation Moves from Static Scores to Environments, Harnesses, and Safety Tests
- Jun 29
AI Agent 前沿研究週報 W26:評測從靜態分數走向環境、Harness 與安全壓測
- Jun 29
AI Agent Industry Weekly W26: Agents Enter the Paid, Tested, and Governed Phase (Doubao, GitHub Copilot, RAND)
- Jun 29
AI Agent 產業週報 W26:Agent 進入付費、測試與安全治理週期(豆包、GitHub Copilot、RAND)
- Jun 22
AI Agent Weekly Overview W25: From Model Race to Deployable Systems
- Jun 22
AI Agent 週報總覽 W25:從模型競賽轉向可部署系統
- Jun 22
AI Agent Open-Source Weekly W25: Harnesses, Skills, and Device Control
- Jun 22
AI Agent 開源週報 W25:Harness、技能與裝置控制成為開源焦點
- Jun 22
AI Agent Frontier Research Weekly W25: Evaluation Validity, Memory, and Skill Routing
- Jun 22
AI Agent 前沿研究週報 W25:評測有效性、記憶與技能路由成為主戰場
- Jun 22
AI Agent Industry Weekly W25: Deployment, Governance, and Physical Interfaces Heat Up
- Jun 22
AI Agent 產業週報 W25:部署平台、治理與實體入口同時升溫
- Jun 8
AI Agent Weekly Overview W23: Agents Are Being Rebuilt as Governable, Operable, Scalable Systems
- Jun 8
AI Agent 週報 W23:Agent 正在被做成可治理、可運營、可擴展的系統
- Jun 8
AI Agent Open Source Weekly W23: Context Compression, Markdown Ingestion, and Memory Infrastructure Surge
- Jun 8
AI Agent Frontier Research Weekly W23: Memory, Skills, and Evaluation Shift from Semantics to Execution
- Jun 8
AI Agent 開源週報 W23:上下文壓縮、檔案轉 Markdown、記憶層一起爆發
- Jun 8
AI Agent 前沿研究週報 W23:記憶、技能與評測開始從語義層轉向執行層
- Jun 8
AI Agent Industry Weekly W23: Security, Governance, and Runtime Efficiency Become the Deployment Layer
- Jun 8
AI Agent 產業週報 W23:安全、治理與算力調度變成部署主線
- Jun 1
AI Agent Weekly W22: Turning Capability into Deliverable Systems (governance × self-improvement × infrastructure)
- Jun 1
AI Agent 週報 W22:把「能力」變成「可交付系統」(治理×自我改進×工程底盤)
- Jun 1
AI Agent Open-Source Weekly W22: Knowledge Graphs + Governance Tooling Spike (Understand-Anything, codegraph, agent-governance-toolkit)
- Jun 1
AI Agent 開源週報 W22:知識圖譜與治理工具爆量(Understand-Anything、codegraph、agent-governance-toolkit)
- Jun 1
AI Agent Frontier Research Weekly W22: Self-Improvement Gets Engineered (MUSE-Autoskill, SkillGrad, LACUNA)
- Jun 1
AI Agent 前沿研究週報 W22:自我改進走向工程化(MUSE-Autoskill、SkillGrad、LACUNA)
- Jun 1
AI Agent Industry Weekly W22: Governance Becomes a Product Surface (OpenAI Frontier Governance, Claude Opus 4.8, Mistral Search Toolkit)
- Jun 1
AI Agent 產業週報 W22:治理與評測變成產品(OpenAI Frontier Governance、Claude Opus 4.8、Mistral Search Toolkit)
May
- May 25
AI Agent Weekly Overview W21: Enterprise Boundaries × Tool Platforms (OpenAI×Dell, MOSS, codegraph)
- May 25
AI Agent 週報總覽 W21:Agent 往企業邊界與工具平台化擴張(OpenAI×Dell、MOSS、codegraph)
- May 25
AI Agent Open-Source Weekly W21: Codebase Understanding Becomes Infrastructure (codegraph, agentmemory, 12-factor-agents)
- May 25
AI Agent 開源週報 W21:理解代碼庫變成基礎設施(codegraph、agentmemory、12-factor-agents)
- May 25
AI Agent Frontier Research Weekly W21: Self‑Evolving Agents + Tool-Layer Standardization (MOSS, HarnessAPI, VIPER‑MCP)
- May 25
AI Agent 前沿研究週報 W21:自我演化 + 工具層標準化(MOSS、HarnessAPI、VIPER‑MCP)
- May 25
AI Agent Industry Weekly W21: Hybrid/On‑Prem Push + Connectivity Consolidation (OpenAI×Dell, Stainless, Gemini Spark)
- May 25
AI Agent 產業週報 W21:混合/在地化與連接層整合(OpenAI×Dell、Stainless、Gemini Spark)
- May 18
AI Agent Weekly Overview: Industry, Research, and Open Source, May 11–17 2026
- May 18
AI Agent 週報總覽:2026-05-11 至 2026-05-17 產業、研究與開源三條線
- May 18
AI Agent Open Source Weekly: Fast-Moving GitHub Projects and Engineering Progress, May 11–17 2026
- May 18
AI Agent 開源週報:2026-05-11 至 2026-05-17 GitHub 高增長項目與工程進展
- May 18
AI Agent Frontier Research Weekly: Papers, Labs, and Evaluation Progress, May 11–17 2026
- May 18
AI Agent 前沿研究週報:2026-05-11 至 2026-05-17 論文、實驗室與評測進展
- May 18
AI Agent Industry Weekly: News, Products, and Deployment Signals, May 11–17 2026
- May 18
AI Agent 產業週報:2026-05-11 至 2026-05-17 新聞、產品與部署信號
- May 12
AI Agent Open Source Weekly: Fast-Growing GitHub Projects and Engineering Progress, May 4-10 2026
- May 12
AI Agent 開源週報:2026-05-04 至 2026-05-10 GitHub 高增長項目與工程進展
- May 12
AI Agent Frontier Research Weekly: Papers, Labs, and Evaluation Progress, May 4-10 2026
- May 12
AI Agent 前沿研究週報:2026-05-04 至 2026-05-10 論文、實驗室與評測進展
- May 12
AI Agent Industry Weekly: News, Products, and Deployment Signals, May 4-10 2026
- May 12
AI Agent 產業週報:2026-05-04 至 2026-05-10 新聞、產品與部署信號
- May 11
AI Agent Weekly Overview: Industry, Research, and Open Source, May 4-10 2026
- May 11
Anthropic's Finance Agents: Not 10 Templates, but a Deliverable Workflow Operating System
- May 11
Anthropic 金融 Agent 深度解析:它賣的不是 10 個模板,而是一套可交付的工作流作業系統
- May 11
AI Agent 週報總覽:2026-05-04 至 2026-05-10 產業、研究與開源三條線
- May 3
Hyperagents 深度解析:當 agent 開始改寫「自己怎麼進化」的那行程式碼
- May 3
Agent Zero:把整個 Linux 系統當工具的 AI Agent 框架
April
- Apr 30
AI Agents Can Find DeFi Bugs. They Still Can't Steal The Money.
- Apr 28
The Age of Abundant Thinking: When Master's-Level Intelligence Becomes Tap Water
- Apr 28
思考充裕時代的來臨:當「碩士級智力」變成自來水
- Apr 25
Auto Model Switching Sounds Smart. Until You See the Cache Bill.
- Apr 25
自動切換模型聽起來很聰明,直到你看到 cache 帳單
- Apr 24
Yearn Curation 和我的 DeFi 風險 Skill:哪裡重疊、哪裡不同、各自該給誰用
- Apr 24
Yearn Curation:把 DeFi 風險評估做成鏈上資本配置的那群人
- Apr 24
Yearn Curation vs My DeFi Risk Skill: Overlap, Gaps, and Who Should Use Which
- Apr 24
Yearn Curation: Turning DeFi Risk Analysis Into On-Chain Capital Allocation
- Apr 24
OpenAI 的 Great Reset:把所有不通往 AGI 的路全砍掉
- Apr 24
OpenAI's Great Reset: Killing Every Path That Doesn't Lead to AGI
- Apr 23
從矽到肉:BCI 的生物混合拐點(2026 年 4 月)
- Apr 23
朝鮮駭客的 8 億美金月:Lazarus 雙殺與 DeFi 的信任重構
- Apr 23
AI 開始關門:前沿模型私有化的 2026 年四月拐點
- Apr 23
From Silicon to Tissue: The Biohybrid BCI Inflection of April 2026
- Apr 23
DPRK's $800M Month: Lazarus's April Rampage and DeFi's Trust Reset
- Apr 23
AI Closes Its Doors: The April 2026 Privatization Inflection
- Apr 21
Who Will Save DeFi? From Kelp +72h to Tether Becoming the Shadow Central Bank
- Apr 21
Will DeFi Die? From Kelp's $292M Hole to the Age of AI-Agent Attacks
- Apr 21
DeFi 要靠誰救?從 Kelp 後 72 小時,到 Tether 正在變成鏈上央行
- Apr 21
DeFi 會死嗎?從 Kelp 2.92 億窟窿,到 AI Agent 攻擊時代
- Apr 19
Cortical Labs 深度解析:用活體神經元造電腦的澳洲新創
- Apr 19
生物計算 vs 矽基計算:澳洲 Cortical Labs 的活體電腦改變了什麼?
- Apr 19
Kelp DAO 2.92 億美元駭客事件:AI Agent 如何提前 12 天發現漏洞——以及這對 DeFi 安全的意義
- Apr 19
Kelp DAO's $292M Hack: What an AI Agent Caught 12 Days Early — and What It Means for DeFi Security
- Apr 15
RTK:讓你的 AI 程式碼助手省下 80% Token 的 CLI 代理工具
- Apr 15
RTK: The CLI Proxy That Cuts Your AI Coding Token Bill by 80%
- Apr 15
Making Your AI Agent Get Stronger With Use: Adaptive Agent Skill -- Let Claude Code Memorize and Self-Improve Like Hermes Agent
- Apr 15
讓你的 AI Agent 越用越強:Adaptive Agent Skill 開源了 -- 讓 Claude Code 像 Hermes Agent 一樣記憶與自我進化
- Apr 14
Vercel Open Agents 深度解析:打造你自己的雲端 Coding Agent
- Apr 14
Vercel Open Agents: Build Your Own Cloud Coding Agent
- Apr 13
Hermes Agent Memory System: A Source Code Deep Dive into How AI Agents Actually Learn
- Apr 13
Hermes Agent 記憶系統源碼解析:AI Agent 如何實現「越用越聰明」
- Apr 13
WLFI Drains Dolomite: The Trump Family DeFi Play That Echoes FTX
- Apr 13
WLFI 掏空 Dolomite:川普家族 DeFi 的 FTX 既視感
- Apr 13
Hermes Agent 深度研究:Nous Research 的開源自進化 AI Agent 全解析
- Apr 13
Gemma 4 深度解析:Google 最強開源模型,31B 參數擊敗 400B 對手
- Apr 12
MemPalace: Redefining AI Memory with the Method of Loci -- A Deep Dive into the 42K-Star Open Source Project
- Apr 12
MemPalace:用記憶宮殿重新定義 AI 記憶層,一週狂攬 42K Stars 的開源專案深度解析
- Apr 10
BCI Has Quietly Had Its ChatGPT Moment: The Papers That Mattered, 2023–2026
- Apr 10
腦機介面的 ChatGPT 時刻已經悄悄發生了:2023–2026 重要論文與前沿研究
- Apr 10
The 2026 BCI Race: Who's Actually Ahead, and How Close Is China?
- Apr 10
腦機介面 2026 企業競賽:誰真的領先,中美差距多大
- Apr 10
Polymarket Field Guide: On-Chain Data Reveals Who Is Winning and How Regular People Can Find Real Opportunities
- Apr 10
Polymarket 作戰指南:從鏈上數據看懂誰在賺錢、一般人如何找到真實機會
- Apr 10
JLP Deep Dive: Where Does Your Yield Actually Come From?
- Apr 10
JLP 深度拆解:你的收益究竟從哪來?
- Apr 10
The Left-Right Divide: Utopian vs. Tragic Vision | Thomas Sowell's 'A Conflict of Visions'
- Apr 10
左派右派百年之爭:烏托邦視角與悲劇視角|索維爾《人性觀的衝突》深度解讀
- Apr 9
When AI Agents Meet OS Design: A Deep Dive into Anthropic Managed Agents Architecture
- Apr 9
當 AI Agent 遇上作業系統思維:Anthropic Managed Agents 架構深度解析
- Apr 9
LangGraph Deep Analysis: An Agent Orchestration Framework Driven by Pregel Computation Model
- Apr 9
Dissecting OpenCode: A Complete Architecture Analysis of an Open-Source AI Coding Agent
- Apr 9
Tokenized Stock Arbitrage: A Game Retail Traders Are Destined to Lose?
- Apr 9
代幣化股票套利:一場小資散戶注定輸掉的遊戲?
- Apr 9
Is JLP Worth It? A Complete Perp DEX LP Comparison: JLP, HLP, GLV, and the Emerging Challengers
- Apr 9
x402: 22 Tech Giants Built the AI Payment Highway, but Only 372 Cars Are on the Road
- Apr 9
AI Agent 支付的六個瓶頸:不只是渠道問題,信任、身份、合規都還沒解
- Apr 8
x402:當 22 家巨頭為 AI Agent 鋪好支付高速公路,路上卻只有 372 台車
- Apr 8
投資 JLP 會賺錢嗎?Perp DEX LP 完整比較:JLP、HLP、GLV 與新興挑戰者
- Apr 8
The Brutal Truth About Intent Solver Profitability: A Small Player's Reality Check
- Apr 8
Intent Solver 獲利的殘酷真相:小玩家的生存報告
- Apr 8
Has the Physical AI Era Truly Arrived? The Brutal Reality of Humanoid Robots in 2026
- Apr 8
Physical AI 時代真的來了嗎?2026 人形機器人從實驗室走向工廠的殘酷現實
- Apr 8
Every AI Agent Was Compromised: Can Zero Trust Save Autonomous AI from Its Security Crisis?
- Apr 8
每一個 AI Agent 都被攻破了:Zero Trust 能拯救自主 AI 的安全危機嗎?
- Apr 8
鈉離子電池挑戰鋰電霸權?深度拆解 2026 年的現實與炒作
- Apr 8
Sodium-Ion Batteries Challenging Lithium's Dominance? A Deep Dive into the 2026 Reality vs. Hype
- Apr 8
AI 資金超級週期:2970 億美元的季度背後,是泡沫還是革命?
- Apr 8
The AI Funding Supercycle: Is the $297 Billion Quarter a Bubble or a Revolution?
- Apr 8
From Chatbots to Autonomous Agents: The Brutal Math of Agentic AI and the 2026 Enterprise Battlefield
- Apr 8
從聊天機器人到自主代理:Agentic AI 的殘酷數學與 2026 企業實戰全景
- Apr 8
三篇論文、十二個月:量子電腦正在改寫密碼學的存亡時間表
- Apr 8
Three Papers, Twelve Months: Quantum Computers Are Rewriting Cryptography's Survival Timeline
- Apr 8
AI's $7 Trillion Energy Crisis: When Data Centers Consume as Much Power as Japan
- Apr 8
AI 的七兆美元能源危機:當資料中心吃掉一個日本的電力
- Apr 8
2026 AI 程式碼代理大戰:當開發者自認快了 20%,實際卻慢了 19%
- Apr 8
The 2026 AI Coding Agent Wars: When Developers Think They're 20% Faster but Are Actually 19% Slower
- Apr 8
AI Agent Autonomous Monetization: Conway Terminal, Web4.0, and the Rise of the Agent Economy
- Apr 8
AI Agent 自主變現全解析:Conway Terminal、Web4.0 與 Agent 經濟的崛起
- Apr 8
Karpathy 的 LLM Wiki:當 AI 不再只是搜尋,而是幫你「編譯」知識
- Apr 8
Karpathy's LLM Wiki: When AI Stops Searching and Starts Compiling Knowledge
- Apr 8
The Complete Guide to On-Chain Earning: 14 Permissionless Yield Strategies Deep Dive
- Apr 8
鏈上賺錢完全指南:14 種無許可收益策略深度解析
- Apr 7
Cloudflare Pay Per Crawl: Making AI Pay to Read Your Website
- Apr 7
Cloudflare Pay Per Crawl: 讓 AI 讀你的網站也要付錢
- Apr 7
From the Drift Hack to an Open Source Security Tool: A Complete Introduction to crypto-project-security-skill
- Apr 7
Drift Protocol $285M Hack Deep Dive: Fake Tokens, Durable Nonces, and the Perfect Storm of Governance Hijacking
- Apr 7
Moltbook Deep Dive: The Social Network for AI Agents, and How to Let Agents Promote Your Product
- Apr 7
The Complete Guide to Intent-Based Cross-Chain Bridges: From Traditional Bridges to the Solver Competition Era
- Apr 7
Intent Protocol Earning Guide: Solver, Market Making, LP, and Yield Strategy Deep Dive
- Apr 7
Intent 協議賺錢指南:Solver、做市、LP 與收益策略全解析
- Apr 7
Intent-Based 跨鏈橋完全指南:從傳統 Bridge 到 Solver 競爭時代
- Apr 7
Moltbook 深度解析:AI Agent 的社群網路,以及如何讓 Agent 幫你宣傳產品
- Apr 6
從 Drift 被駭到開源安全工具:crypto-project-security-skill 完整介紹
- Apr 6
Drift Protocol 2.85 億美元駭客事件深度剖析:假代幣、Durable Nonce 與治理劫持的完美風暴
- Apr 6
Global Commodity Pricing Revealed: How ICE Futures Markets Dominate Energy and Agricultural Prices
- Apr 6
全球商品定價機制解密:ICE期貨市場如何主宰能源與農產品價格
- Apr 6
Litestar vs FastAPI:一場被低估的 Python Web 框架之爭
- Apr 4
Book Notes on 'One-Dimensional Man': When Consumption and Technology Become New Forms of Control
- Apr 4
《單向度的人》讀書筆記:當消費與技術成為控制的新形式
March
- Mar 31
AI 戰爭、就業崩潰與中美競爭:Dylan Patel 深度解析 AI 產業未來趨勢
- Mar 31
麻省理工教授教你如何演講:Patrick Winston 溝通技巧完整指南
- Mar 31
Tech and Labor, Friends or Foes? Alex Karp and Sean O'Brien in Conversation
- Mar 31
Professor Liu Jia: The AI-Era Education Revolution -- From Exam-Driven Learning to Self-Awakening
- Mar 31
Jensen Huang Interview: The Era of AI Agents Is Coming — NVIDIA Strategy, Compute Architecture, and Future Predictions
- Mar 31
How to Speak: Patrick Winston's Complete Guide to Communication
- Mar 31
劉嘉教授:AI時代的學習革命——從應試教育到自我覺醒
- Mar 31
科技與勞工是敵是友?Alex Karp 與 Sean O'Brien 的世紀對話
- Mar 31
AI in War, Job Market Collapse, and the US-China Race: Dylan Patel's Deep Dive into the AI Industry
- Mar 31
黃仁勳專訪:AI 代理時代來臨,解析 NVIDIA 戰略、計算架構與未來預言
- Mar 22
一個人住,到底對生活品質做了什麼?
- Mar 17
SaaS 大屠殺來襲:誰能生存、誰將淘汰?Insight Partners 共同創辦人 Jerry Murdock 深度解析
- Mar 16
AI 先驅吳恩達警告:泡沫確實存在,可能觸發 AI 冬天
- Mar 16
OpenClaw啟示錄:當軟體變成一次性耗材,SaaS與程式設計師的生存之道
- Mar 16
從普通研究者到 AI 創業家:謝賽寧 7 小時深度專訪,談世界模型、表示學習與 Yann LeCun 的革命之路
- Mar 16
第三個軟體工程黃金時代:AI 引領的革新與未來
- Mar 14
《數字黃金》:比特幣瘋狂崛起史——從暗網毒資到華爾街寵兒的理想與貪夢
- Mar 13
AI 改變戰爭的方式:從終結者幻覺到全視之眼的時代
- Mar 13
AI時代最危險的兩個需求錯判:尋找大需求與用腦子想需求
- Mar 13
AI顛覆戰爭形態:從終結者幻想到情報革命|《AI、自動化與戰爭》深度解讀
- Mar 12
AI 吸血鬼效應:為什麼工具越強,工程師越累?
- Mar 11
加密貨幣 Reality Check:空頭市場的真相與生存指南
- Mar 11
加密貨幣新時代:產品導向創辦人崛起,基礎設施思維的終結?
- Mar 11
什麼是好的代幣?代幣經濟學完整解析與實務建議
- Mar 11
RWA Vaults 崛起:加密金融走向主流的關鍵之路
- Mar 11
加密貨幣分發新法則:從應用到AI代理的策略框架
- Mar 11
傳統金融與 DeFi 整合實況:機構採用現況與未來展望
- Mar 11
FIT21 加密貨幣法案全解析:自 Dodd-Frank 以來最大的金融立法來襲
- Mar 11
Aave 與 DeFi 的豐富經濟願景:從稀缺到資助未來
- Mar 11
AI 軍備競賽與加密市場整合:Michael & Vance 深度解析未來趨勢
- Mar 11
萬物皆市場:加密貨幣如何將金融擴展至文化領域
- Mar 9
AI會讓工作消失嗎?深度解析未來勞動市場的關鍵辯論
- Mar 8
AI教父 Geoffrey Hinton 專訪:智慧的本質、危險預警與未來展望
- Mar 8
生育率暴跌的意外贏家:原教旨主義信徒如何靠「多生小孩」接管未來?
- Mar 7
Nominal 獲 80M 美元 B-2 輪融資估值達 10 億美元!軟體定義硬體的 GitHub 來了
- Mar 7
Revel:打破三十年停滯的硬體控制革命
- Mar 7
Thomas Laffont 專訪:AI 投資浪潮與下一個 Mag 7 候選名單
- Mar 7
深度解讀 Anthropic 的 $100M Anthology Fund:Menlo Ventures 的 AI 投資策略與創業智慧
- Mar 7
深度解析 Yoshua Bengio 專訪:AI 未來五年將如何改變人類命運
- Mar 7
OpenAI Codex 負責人專訪:程式設計的黃金時代與未來革命
- Mar 6
Klarna CEO 預言:SaaS 將死!AI Agent 如何顛覆企業軟體格局
- Mar 6
MiniMax 內部揭秘:如何打造開放模型與強化學習的實踐指南
- Mar 5
Scrapling 深度解析:自適應爬蟲框架的技術內幕與實證驗證
February
- Feb 26
Polymarket CLI 技術深度剖析:為什麼用 Rust 寫一個預測市場的命令列工具
- Feb 26
Kimi CLI 深度解析:Moonshot AI 開源的終端 AI Agent 架構拆解
- Feb 25
OpenClaw 深度剖析:一個 Self-Hosted AI 助理平台的技術全貌
- Feb 23
LangChain's jQuery Moment: When Model Providers Eat the Middleware
- Feb 23
Claude Agent SDK 完整指南:從 Built-in Tools 到 Subagents 的全面解析
- Feb 23
Claude Model Capabilities 完整指南:從 Extended Thinking 到 Vision 的全面解析
- Feb 23
Build with Claude 完整指南:從功能總覽到 Messages API 的實戰解析
- Feb 23
Claude Tool Infrastructure 完整指南:從 MCP Connector 到 Tool Search 的全面解析
- Feb 23
Claude Tools 完整指南:從 Tool Use 到 Server/Client Tools 的全面解析
- Feb 23
LangChain 的 jQuery 時刻:當模型供應商吃掉中間層
- Feb 23
Claude Agent Skills 完整指南:從 Progressive Disclosure 到自定義 Skill 的全面解析
- Feb 23
Claude Prompt Engineering 完整指南:從基礎技巧到 Extended Thinking Tips 的全面解析
- Feb 23
Claude Context Engineering 完整指南:從 Context Window 到 Prompt Caching 的全面解析
- Feb 23
2026 Claude Documentation 完整概覽:九篇深度指南的系統化導讀
- Feb 23
Claude Files API 完整指南:檔案上傳、管理與跨請求引用的實戰解析
- Feb 21
拆解 OpenCode:一個開源 AI Coding Agent 的完整架構剖析
- Feb 20
LangGraph 深度解析:以 Pregel 計算模型驅動的 Agent 編排框架
- Feb 20
2026 Agent 框架大比拼:Kimi vs Claude vs LangGraph vs MiniMax
- Feb 20
Claude Agent SDK 深度解析:Anthropic 的 CLI-Driven Agent 建構框架
- Feb 20
Kimi Agent SDK 深度解析:MoonshotAI 的 CLI-as-Engine Agent 架構
- Feb 20
MiniMax Mini-Agent 深度解析:從零建構 Production-Grade CLI Agent
- Feb 20
Web 4.0:當 AI 不再需要人類許可——Conway 與 Automaton 深度解析
- Feb 20
Web 4.0: When AI No Longer Needs Human Permission — A Deep Dive into Conway & Automaton
- Feb 6
Claude Code Agent Teams: Orchestrating Multiple AI Sessions for Parallel Development
- Feb 6
Claude Code Agent Teams:協調多個 AI 會話進行並行開發
- Feb 5
How to Build a Life System That Doesn't Easily Collapse
- Feb 5
如何搭建一個不容易崩的人生系統
- Feb 3
The Most Important Skill Nobody Taught You
- Feb 3
2025 年度回顧與書籍推薦
- Feb 3
沒人教過你的最重要技能
- Feb 1
Claude Code 創始團隊的 10 個最佳實踐技巧
January
- Jan 30
Jason Momoa:演藝生涯、夏威夷、父親角色與超越名氣的人生追尋
- Jan 30
Jason Momoa: Acting, Hawaii, Fatherhood, and Finding Purpose Beyond Fame
- Jan 30
Fiona Cauley: Comedy, Friedreich's Ataxia, and Finding Your Voice
- Jan 30
Alexander Wang:Scale AI、美中 AI 競賽,以及為什麼 AI 創造的工作比消滅的更多
- Jan 30
Bernie Sanders 談寡頭政治、AI 與為勞工階級而戰
- Jan 30
Alexander Wang: Scale AI, the US-China AI Race, and Why AI Will Create More Jobs Than It Destroys
- Jan 30
Bernie Sanders on Oligarchy, AI, and Fighting for the Working Class
- Jan 30
Fiona Cauley:喜劇、弗里德賴希共濟失調症,與找到自己的聲音
- Jan 29
《麥肯錫結構化戰略思維》讀書筆記:如何想清楚、說明白、做到位
- Jan 28
Ray Dalio:貨幣、內戰與國際戰爭——明尼阿波利斯事件與大週期視角
- Jan 26
Paul Rosolie:亞馬遜雨林中的未接觸部落
- Jan 26
遞迴語言模型 (RLM):讓 LLM 突破上下文限制的革命性方法
- Jan 26
Pierre Poilievre:政府角色、自由與可負擔性
- Jan 26
Peter Kaufman:多學科思維方法
- Jan 26
Morgan Housel:財富等於你擁有的減去你想要的
- Jan 26
James Clear:身份認同、一致性與環境如何塑造你的習慣
- Jan 26
Joel David Hamkins:無窮悖論、哥德爾不完備定理與多元宇宙
- Jan 26
Irving Finkel:解讀古代文明的秘密與大洪水神話
- Jan 26
Pierre Poilievre: The Role of Government, Freedom, and Affordability
- Jan 26
Peter Kaufman: The Multidisciplinary Approach to Thinking
- Jan 26
Morgan Housel: Wealth is What You Have Minus What You Want
- Jan 26
James Clear: How Identity, Consistency, and Environment Shape Your Habits
- Jan 25
How to Get Ahead of 99% of People in 12 Months
- Jan 25
I'm 38. If You're in Your 20's or 30's, Read This.
- Jan 25
如何在 12 個月內超越 99% 的人
- Jan 25
我今年 38 歲。如果你正處於 20 多歲或 30 多歲,這篇文章請務必讀完。
- Jan 24
你應該在每天前 2 小時打造「自己的事業」
- Jan 17
在「超音速海嘯」前:Elon Musk 談 AI、機器人與人類未來的三到七年
- Jan 16
CPO 共封裝光學完整解析:用光擴展下一代互連技術
- Jan 15
光子電腦全貌:從光互連到光子加速器,再到量子光子
- Jan 15
為什麼我們需要光子計算?
- Jan 14
讓你的未來更富有:42個理由告訴你為什麼該做被動投資
- Jan 14
精讀《貨幣未來》:從金本位到法幣,再到比特幣本位
- Jan 14
《AI文明史前史》:四項公理下,人類如何被重估、被審判,與唯一的生路
- Jan 6
When 90% of the code is written by AI: Mike Krieger (Anthropic CPO) on what changes next
- Jan 6
當 90% 的程式碼由 AI 撰寫:Anthropic 產品長 Mike Krieger 談接下來的變化
- Jan 4
讓程式碼庫具備「Agent Ready」能力:by Eno Reyes(Factory AI)
- Jan 4
不設目標的成功學:Patrick O'Shaughnessy 談原則驅動、清潔燃料與微小善意的漣漪效應
- Jan 4
軟體危機的無限迴圈:簡單(Simple)與容易(Easy)的距離
- Jan 1
誰說大象不能跳舞:郭士納與IBM逆風翻盤的管理智慧
2025
35 篇文章December
- Dec 31
OpenPackage 深度探究:AI 編程的跨平台插件管理系統
- Dec 31
Claude Code Plugins 深度解析:擴展 AI 開發工具的完整指南
- Dec 30
從「個人開發者」到 Manus——Peak 紀逸超談三次創業、Agent 與產品方法論
- Dec 28
deepagents 深度探究:LangChain 生態中的 Deep Agent 實作框架
- Dec 28
LangGraph Checkpoint 深度解析:狀態持久化、Time-travel 與 Human-in-the-Loop 實踐
- Dec 28
從「被盯上」到「第一批員工」:Cursor 工程師 Ian 深度訪談 | Cursor 內部文化解密
- Dec 27
「沒有中間商賺差價」:王冠談 AI 時代的產品、數據、生成系統與內容終局
- Dec 26
理想的「理想」:從 AI 資訊工具到生產力、從端到端到 VLA 司機大模型
- Dec 26
楊植麟的「無限雪山」:Kimi 創辦人談 RL 轉向、Agent 泛化與 AI 時代的組織哲學
- Dec 25
AG-UI Protocol 深度解析:AI Agent 與使用者介面的標準化橋樑
- Dec 23
LangGraph 狀態持久化深度解析:Checkpointer 與 Memory Store 完整指南
- Dec 23
AI 泡沫迷思:Token 需求、資料中心與電力瓶頸 -- 對話朱嘯虎
- Dec 23
Evals 是 AI 產品的最高 ROI:從 Error Analysis 到 LLM Judge 的完整實戰流程
- Dec 23
Evals Are the Highest ROI for AI Products: The Complete Workflow from Error Analysis to LLM Judge
- Dec 22
SQLAlchemy ORM 原理深度解析:從 Unit of Work 到 Identity Map
- Dec 22
WebAssembly (WASM) 深度解析:從二進制格式到執行引擎
- Dec 22
開源金融 AI 交易框架深度比較:TradingAgents vs ValueCell vs Dexter
- Dec 22
PostgreSQL 內部機制深度解析:從 MVCC 到查詢執行引擎
- Dec 22
PostgreSQL BM25 全文搜索深度解析:pg_search 與 pg_textsearch
- Dec 22
Model Context Protocol (MCP) 技術深度解析:AI 應用的通用連接標準
- Dec 22
FastMCP 深度解析:Python MCP 框架的架構設計與實戰指南
- Dec 22
Claude Code 安全架構深度解析:Anthropic 官方安全防護機制
- Dec 21
Dexter 深度解析:自主金融研究 AI Agent 的工程實現
- Dec 21
TradingAgents 深度解析:多智能體金融交易框架的架構與實現
- Dec 21
TradingAgents 深度解析:多代理 LLM 金融交易框架的突破性架構
- Dec 21
ValueCell 深度解析:金融多智能體平台的架構與實現
- Dec 21
Agent Skills 深度解析:AI Agent 能力擴展的開放標準
- Dec 21
[翻譯] Andrej Karpathy:2025 LLM 年度回顧
- Dec 21
LangChain Middleware 深度解析:函數呼叫時序與執行邏輯全攻略
- Dec 16
LangGraph 架構深度解析:從 BSP 執行模型到有狀態 AI 工作流
- Dec 16
Claude Agent SDK Python 架構深度解析:Anthropic 官方 Agent 開發框架
- Dec 16
AI 代理框架詳細比較:Claude Agent SDK vs LangChain vs LangGraph vs Google ADK
- Dec 16
午夜騎行的禪思:初心、無我與世界的虛妄
- Dec 16
Google Agent Development Kit (ADK) Python 架構深度解析
- Dec 15
LangChain v1 與 LangGraph:新一代 Agent 編排架構深度解析
2024
18 篇文章December
- Dec 23
Prediction Market 套利策略深度解析:跨交易所套利機制與實戰架構
- Dec 23
RabbitMQ 深度解析:從 AMQP 協議到高可用集群的完整架構剖析
- Dec 23
Redis 技術細節深度剖析:從源碼理解高性能記憶體數據庫的設計哲學
- Dec 23
x402 支付協議深度剖析:HTTP 原生加密貨幣微支付的開放標準
- Dec 23
ERC-8004 Trustless Agents 深度剖析:去中心化 AI Agent 發現與信任框架
- Dec 23
FastAPI 深度剖析:從源碼理解現代 Python Web 框架的設計精髓
- Dec 23
Docker 深度剖析:從 Linux 容器技術到鏡像分層存儲的完整架構解析
- Dec 23
Google A2A Protocol 深度剖析:Agent 間通訊的開放標準與任務生命週期管理
- Dec 23
腦機介面 (BCI) 產業深度研究報告:從神經信號到商業化的完整解析
- Dec 23
Agno 深度解析:下一代多智能體框架的架構與實現
- Dec 23
如何創造一門程式語言:以 Python 為例的深度剖析
- Dec 23
Hummingbot 深度剖析:從交易連接器到策略執行引擎的完整架構解析
- Dec 23
JavaScript Runtime 深度比較:Node.js、Deno、Bun 架構剖析
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