The Death of Syntax: Why "English" is the Only Programming Language Left

TL;DR: Elon Musk just called it: Programming languages will be dead by the end of 2026. We have reached the "Singularity" where AI writes better code than the top 0.1% of humans, and it self-corrects ...

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2026年2月17日

James Huang

Andrew Ng's 30% Rule: Why the "Broken Rung" Is the Real Threat to Your Career

TL;DR: While everyone is screaming about AGI taking 80% of jobs, Andrew Ng dropped a quieter, scarier truth at Davos: "AI will only do 30-40% of tasks." This sounds comforting, but it's actually a war...

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2026年2月16日

James Huang

I Am a Non-Technical CEO. I Built 100 AI Apps in 8 Months. Here is Why You Are in Danger.

TL;DR: I shouldn't be writing code. As a CEO, my job is strategy. But 12months ago, I realized I was managing a "Black Box" I didn't understand. So, despite having no background in engineering, I forc...

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2026年2月16日

James Huang

The "Temu-fication" of AI: The Truth Behind GLM-5 and the Death of the Mid-Market

TL;DR: The release of Zhipu AI’s GLM-5 is not a technological breakthrough; it is a manufacturing breakthrough. Just as Chinese EVs commoditized electric cars, Chinese AI models are commoditizing inte...

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2026年2月16日

James Huang

The "Software Bloodbath" of 2026: Why Anthropic Just Killed the SaaS Industry

TL;DR: In early 2026, Anthropic launched Claude Cowork , a suite of 11 professional plugins, and the Claude Opus 4.6 model. This combination allows AI to autonomously execute complex legal, financial,...

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2026年2月16日

James Huang

The Century of Software is Over: Why the SaaS Crash is a Feature, Not a Bug

TL;DR: Humanity spent exactly 100 years solving the problem of "Software." With the release of Claude Opus 4.6 and Codex 5.3, we have officially solved coding. The recent crash in SaaS stocks isn't a ...

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2026年2月9日

James Huang

The "Zero Multiplier" Effect: Why AI (and Consultants) Cannot Save You

TL;DR: History teaches us a brutal lesson: Even the greatest strategist (Zhuge Liang) needs a competent leader (Liu Bei) to succeed. If the leader is incompetent, even a genius like Li Mi has to hide ...

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2026年2月4日

James Huang

Why You Keep Failing at AI: Stop "Learning" and Start "Getting Your Hands Dirty"

TL;DR: For two years, Hong Kong has been drowning in AI courses. Everyone is "learning," but almost no one is improving . Why? Because most courses sell you a performance of knowledge, not actual capa...

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2026年1月28日

James Huang

公關經理 vs. 工程師：為什麼我最終取消了 ChatGPT 訂閱

TL;DR： ChatGPT 和 Gemini 之間的爭鬥不僅僅是基準的問題，而是 Personality 和 Philosophy 的問題。經過廣泛的測試後，我發現 ChatGPT 的設計是為了提供「情感價值」- 它是安全、精緻且政治正確的。然而，Gemini 提供的是「硬核價值」--它直接、邏輯驅動、無情且有效率。我最近取消了我的 ChatGPT 訂閱。以下是「工程呆子」贏得我錢包的原因。 ...

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2026年1月2日

James Huang

向零的競賽：小米剛投放了一枚人工智能核彈

TL;DR：當西方專注於模型能力 (IQ) 時，小米剛剛將討論焦點轉移到單位經濟學。他們將新機型的定價訂在每百萬個代幣 0.10 美元--比市場標準便宜 20 倍到 100 倍之多--這不僅是競爭，他們還試圖將智慧完全商品化。這讓人回想起 14 年前他們的智慧型手機策略。問題不在於 "機型好不好？問題是：「誰能負擔得起這樣的價格？ Mercury Technology Solutions 首...

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2025年12月30日

James Huang

100 兆個代幣不會說謊：一半的人在編碼，另一半的人在玩角色扮演遊戲

TL;DR: OpenRouter的最新報告分析了100兆個代幣的資料，發現人工智能的使用出現了奇異的分裂：全球有 50% 的人使用 AI 來撰寫程式碼，另外 50% 的人則使用 AI 來進行角色扮演和創作小說。像「撰寫電子郵件」這樣的傳統工作現在只佔少數。該報告還強調了中國開源模型（如 DeepSeek）的爆炸性崛起，並證明了用戶忠誠度與價格無關，而更多的是「灰姑娘效應」。以下是來自人工智能革...

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2025年12月25日

James Huang

Agents vs. Skills: Stop Hiring Digital Interns, Start Building Digital Manuals

TL;DR: Anthropic’s recent push into "Skills" has confused many. Is it just another word for "Agents"? No. The difference is fundamental economics. Agents are like hiring expensive contractors: they ca...

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2025年12月23日

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