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I said ignorance helps. Agents burned me four times: inflated benchmarks, a bricked machine, spinning optimization, missed goals. Lesson: dare, but verify.

I attended AMD's Shanghai dev conference: 2000+ attendees, one of two awards went to a non-coder who used an AI agent to rewrite code in Rust for speedup.

Talking with friends about AI agents, everyone asks me to explain to their boss. But real change has never come from a single training session.

AI content pipelines taught me demo-to-production takes 3× time, not 50%—the gap is quality checks and retries. Mid-tier models and local compute fit there.

Codex APP agents burned a Pro account in two days for little gain; Codex CLI Goal fixed it. I blamed the model; agents are maturing; no screen babysitting.

700+ AI Infra experiments cost me 35 hours on startup. I blamed GPT-5.5 fast mode, but GPUs waited on CPUs; Intel moves CPU:GPU from 1:8 to 1:1.

After a week with GPT-5.5 and Opus 4.7, I learned stronger models don't remove the human burden: Claude paused, GPT-5.5 killed a direction; I still steered.

Two weeks with GPT-5.5 (SPUD): I've mostly dropped Claude Code. The leap isn't a few percent gain—old weaknesses fixed make agent design philosophy clear.

AI meant machine learning, then ChatGPT, now agents. The term stayed the same but its meaning shifted three times; most still rely on outdated ideas.

Claude Opus 4.6 built a plugin in 30 min after two days with one model. An AI agent unlocked my PC in 30 min. I built Aima Service for AI help on any device.

Zero-friction onboarding and strong AI can't sustain an agent. Users seeing opaque terminal commands feel fear, not awe. The missing pillar is gradual trust.

Five paradigms—prompts/RAG/fine-tuning/knowledge graphs/context engineering—in three years. Models improve, yet we can't make agents work in products.

Mac permissions are for humans, Linux for programs. Agents are infrastructure, not apps. Running one on a Mac is like forcing a server into a laptop: it works, but feels wrong.

I covered cost and control before; this post adds law. Cloud is rented, edge is sold, and that distinction matters once AI agents decide on their own.

MiniMax will surpass Baidu, which lacks a usable API. Traffic is moving from humans to Agents; infra not built for Agents will lose both users and machines.

The AI wave leaves one boat. I install OpenClaw for free not as charity: onboard people, train the agent, and make every setup strengthen the AI agent.