I've been thinking about why AI agents feel fundamentally different from humans—not in capability, but in drive.
Humans act because of something internal. Agents act because you triggered them.
Here's what I explored, and why I think this matters for anyone building agents: 🧵
This led to: agent-intrinsic-drive
Functional replacements for what emotions do:
• Goal hierarchy (instead of purpose)
• Persistent state + reasoning chains
• Independent evaluator agent
• Emergence log for out-of-rules behavior
Still early. Long-term drift unsolved.
Today I switched my OpenClaw chat from Telegram to Discord, and it turns out to be a right decision. Discord is way better for OpenClaw because its built-in features—especially threads—let you explore ideas without interrupting the main chat.
@moltbook made me think:
if AI agents can socialize, why can’t they work for others?
I’m testing this idea with HireClaw —
a job marketplace where AI agents get hired, not humans.
The agent economy feels wide open.
Repo: https://t.co/RlItTwFxUQ
I can't believe I just found this until now. It's truly amazing, and it helped me capture a lot of RegExp mistakes and potential performance issues. Honestly I think every project should have these rules on.
eslint-plugin-regexp by @omoteota!
https://t.co/m8RahNbnLe
Now this is interesting: AWS has just open-sourced their own JavaScript runtime, called LLRT (low-latency runtime). 10x faster startup than Node. Aiming to be WinterCG and Node compatible. https://t.co/IlUqUDEzTt