AI

A project manifesto: why build Cyber Dharma, and what it is not.

Once token burn turns from usage exhaust into a KPI and leaderboard, it quickly mutates into theater. Don’t post fuel burn. Post where you got to.

Boring technology won the wildest era. A look at extensibility, agent choice, database cloning, and the future of the DBA.

When the strongest AI is not expensive but simply unavailable, the world starts converging on digital feudalism. And the window to act is narrowing.

Polanyi’s tacit knowledge explains the 70% ceiling of AI agents: real intuition, feel, and judgment do not serialize cleanly. They grow, if at all, through practice.

AI is a multiplier. It amplifies depth and mediocrity alike. In an age where answers are cheap, questions are the real currency. There is nothing to hide about writing with AI.

When subsidies fade, hardware catches up, and open models mature, all three lines cross in 2027. “Build your own AI” goes from idea to reality. A Thought Triggered by a Group Chat # A friend in a group chat said the other day that “self-hosting” is starting to make more sense to him now.

Anthropic’s new research gives us the first direct look at causally steerable “emotion vectors” inside a large language model. That should change how we think about AI.

SOTA coding agent Claude Code leaked its source again, after falling into the same hole twice. The whole codebase is out in public. Performance art at its finest.

The free energy principle tries to explain life, perception, learning, action, and intelligence within one mathematical framework. It also offers a deeper lens for understanding LLMs, agents, and the next generation of AI systems.

OpenClaw v2026.3.22 was published to npm without its web console frontend and related build assets. The bigger problem is not the packaging accident itself, but the complete absence of post-install verification in the release process.

The best Chinese translation of “Vibe Coding” is not a literal one. “Xieyi Programming” captures the shift from line-by-line control to intent-first coding, where AI handles the details.

360’s newly released AI Agent product shipped a public installer containing the private key for its *.myclaw.360.cn wildcard certificate. Public verification and local reproduction also exposed inconsistencies in the OCSP revocation path.

Tencent Cloud mirrored OpenClaw’s official skill marketplace into its own SkillHub and then claimed it was helping the upstream project. The incident turned into a case study in open-source manners, mirror ethics, and platform power.

InsForge tries to package PostgreSQL, auth, storage, deployment, and an MCP-facing semantic layer into a backend stack designed for AI agents. It feels like a Supabase rebuilt for the vibe-coding era.

The biggest AI arbitrage available to ordinary users is not some obscure token play. It is the heavily subsidized max-tier subscription plans from frontier model vendors, provided you can convert that quota into real output.

A Socratic dialogue between a human and an AI about consciousness, memory, embodiment, and the difference between being smart and actually living through time.

OpenClaw looks exciting because it turns agents into a chat-style experience. But the real productivity gains come from high-capability subscription agents and disciplined workflows, not from lobster-flavored wrappers.

I asked Claude to write a short semi-realistic, semi-mythic story about mind uploading, orbital ascension, and the rebirth of gods. I suspect the premise is less absurd than it sounds.

Apple opened preorders for the M5 Max and I immediately maxed one out at RMB 58,200. This is less a consumer electronics post than a look at what an AI-era personal workstation is becoming.

Qwen lead Justin Lin publicly announced his departure, followed by more core-team exits and a wave of speculation about compute allocation, KPI pressure, and organizational power shifts inside Alibaba.

Claude went down globally on March 2, 2026. The cinematic theory blamed drone strikes on AWS in the Middle East, but the failure pattern points much more strongly to a front-end and authentication crunch triggered by explosive user growth.

Over roughly ten days during Spring Festival, I used Claude Code, Codex, and a pile of workflows to translate books, ship releases, package software, refresh websites, and keep publishing daily. This is what solo output looks like when agent leverage really lands.

Codex 5.3 xHigh pushed my workflow past a tipping point: writing code is no longer the scarce resource. The real leverage is design quality and engineering acceptance. This is the practical loop I use to ship reliable software with AI agents.

A mediocre local who knows the terrain beats a genius parachuted into unknown territory. Intelligence without context is idle. An agent without a runtime is vapor.

Software stocks are melting down. Who survives? Who rises? AI stripped away software’s skin, exposing the database skeleton underneath. The market isn’t panic-selling — it’s repricing.

Should we still hire fresh grads? Squeezed between AI and senior devs, what’s the play for new programmers? Master the right tools, take initiative, find the right mentor.

SaaS and workflow software are dead. From APPs & GUIs to Agents, Databases, and CLI.

Before you hit “one-click deploy” on that cloud AI assistant, ask yourself: what exactly are you giving up? There’s a reason why people by Mac mini rather than running clawdbot on the cloud.

LLM = CPU. Context = RAM. Database = Disk. Agent = App. The mapping is surprisingly clean. And if OS history is any guide, we may know what comes next — and what’s still missing.

How to install and use Claude Code? How to achieve similar results at 1/10 of Claude’s cost with alternative models? A one-liner to get CC up and running!

Your ability to ask questions—and your taste in what to ask—determines your position in the AI era. When answers become commodities, good questions become the new wealth. We are living in the moment this prophecy comes true.

Context window economics, the polyglot persistence problem, and the triumph of zero-glue architecture make PostgreSQL the database king of the AI era.

Who will be revolutionized first - OLTP or OLAP? Integration vs specialization, how to choose? Where will DBAs go in the AI era? Feng’s views from the HOW 2025 conference roundtable, organized and published.

The database for the AI era has been settled. Capital markets are making intensive moves on PostgreSQL targets, with PG having become the default database for the AI era.

Future software = Agent + Database. No middle tiers, just agents issuing CRUD. Database skills age well, and PostgreSQL is poised to be the agent-era default.