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Stop the prompt superstition: in 2026, the core moat of top Agents is “Harness (control wiring harness)” engineering
If you’re still repeatedly refining prompts for the stability of production-grade AI Agents, the conclusion of this article may overturn you...
DeepSeek V4 released: a critical first step for open‑source models to “approach GPT.”
The release of DeepSeek V4 is seen as a key milestone in the history of open-source models because, for the first time, a publicly deployabl...
DeepSeek V4 Technical Breakdown: What Do MoE + 1M Context Actually Mean?
DeepSeek V4 introduces a new architecture centered on MoE sparse activation and a 1M context. Its significance for long-sequence reasoning g...
Behind DeepSeek V4: Chinese AI is taking a different path.
The emergence of DeepSeek V4 marks China AI’s move onto a path markedly different from mainstream international approaches under constrained...
Pet System, Internal Codenames, and Employee Emotion Regex: 3 Wild Easter Eggs in Claude Code's Leaked Source Code
Recently, the accidental exposure of Anthropic's experimental terminal tool caused an uproar in the developer community. This high-profile C...
Stop just watching the drama and start learning: From Claude Code's 510,000 leaked lines of code, I learned the state machine architecture of a top-tier Agent.
The recent Claude Code leak is not merely industry gossip, but an invaluable industrial-grade AI engineering blueprint. Deep analysis of the...
Explaining the Claude Code source code leak: How was a massive 510,000-line AI foundation stripped bare by a single .map file?
Recently, a shocking security incident occurred in the AI field: top large model vendor Anthropic completely exposed the underlying logic of...
Source code leak exposes a shocking undercurrent: Uncovering Claude Code's "undercover mode"—how is AI silently taking over the open-source community?
Recently, an unprecedented Claude Code source code leak occurred due to a rudimentary npm map leak, exposing over 510,000 lines of underlyin...
Return arithmetic power to traditional code and let large models only do "intent routing": First principles in high-pressure financial computing scenarios.
In high-pressure financial calculation scenarios, the zero-fault-tolerance nature of the business dictates that probabilistic autoregressive...
Forget high-frequency quant: As AI Agents flood prediction markets, large models' "probability hedging" is the most hardcore arbitrage machine of 2026.
The 2026 quantitative trading landscape is undergoing a profound paradigm shift. Large Language Models (LLM) empower AI Agents with unpreced...
Simplified Notes for Formally Trained Engineers: Re-deriving the Transformer Using the "Principle of Least Action" and Linear Algebra
Deep learning engineering practices have long been viewed as empirical "black-box alchemy." However, beneath the complex algorithmic facade,...
Writing only prompts and no code? Breaking down the real Vibe Coding workflow: from "syntax worker" to "system architect"
The "Vibe Coding" recently sweeping the tech community is by no means a zero-threshold "lie-flat" development, but a profound paradigm shift...
Rejecting funding, hiring no sales: The "reverse business common sense" of single-handedly growing a vertical AI product to 50,000 users.
As large model capabilities become increasingly homogenized today, the dividend period of "wrapper AI transformation" relying solely on unde...
A Day as a PM for AI: How to write an extremely rigorous PRD (Product Requirements Document) so large models generate usable core modules on the first try?
In the current wave of AI PM transformation, using large models to write PRDs is by no means an idealized "one-click generation"; it require...
The underlying overt scheme behind OpenClaw's viral success: It is not your cyber avatar, but a "cash incinerator" used by Big Tech to consume excess computing power.
Beneath the internet's carnival over "cyber avatars," the phenomenal explosion of OpenClaw is actually a computing power consumption revolut...
From "cutting costs and boosting efficiency" to "reckless cash burning": Do production-level businesses really dare to use OpenClaw? A traffic frenzy exploiting ordinary people.
Despite its cult following in the developer community, stripping away the social media hype reveals an insurmountable engineering gap betwee...
Examine the hype, return to underlying engineering: Why I advise you to immediately stop using OpenClaw and master Claude Code/Cowork
Amid the current "everything is an Agent" frenzy, many users are swayed by social media marketing, wasting precious time and energy on tedio...
The underlying physics of the divergence in US-China AI paths: Oppenheimer "building the atomic bomb" and Watt "building the steam engine".
Currently, the global AI industry is undergoing a profound structural transformation, marked primarily by the increasingly distinct divergen...
If OpenClaw is just a transitional state, what exactly will the "perfect architecture" of a personal Agent look like in 2026? (In-depth projection)
Bidding farewell to the crude era of monolithic large models and external scripts, the 2026 Personal Agent architecture has irreversibly evo...
Tencent internally tests QClaw: When the "regular army" enters the field, what advantage do open-source UI automation "toys" still have for average users?
In the evolution of software engineering, frequent frontend code changes often plunge traditional automated testing into "maintenance hell,"...
OpenClaw Exposed: Is it a true productivity revolution, or just another "shovel seller" traffic scam?
Amid the overwhelming social media marketing frenzy of "one-click fully automated work," this controversial AI agent tool faces a severe tru...
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