One Genius vs. a Whole Crowd
The CEO behind Kimi made a point that stuck: pushing one agent to be ever smarter hits a wall fast, so instead you wire up many agents and let them collaborate. An agent here is a small AI worker that decides and uses tools on its own, and multi-agent just means a crowd of those workers splitting the job. It sounds visionary. For Paxis and Metis it’s Tuesday. The catch: a swarm may clear the wall, but the invoice grows right along with it.
Source: RT @Serantych: Kimi’s CEO Zhilin Yang: (build many agents, not one smarter one) · twitter
What this means for ThakiCloud
Paxis already does the thing this news describes. It orchestrates a crowd of agents like a conductor, so when one worker stalls another role steps in to route around the wall. Metis carries the inference that keeps the swarm running. But the real price of collaboration is infrastructure. More agents means more calls, more GPUs, more billing. Run that swarm inside your own facility, on-prem, and the math flips. Deploy as many agents as you like and the invoice never leaks to someone else’s ledger, while the wall you clear stays your own. A sovereign on-prem floor to release the crowd on: that’s the Paxis and Metis pitch.
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