Agent Swarm unlocks parallel problem-solving. O...
This week, you wake up, you go to the office and Kimi K 2.5 is important. So this is why it's so important because it was incredibly profound. It's a trillion parameter mixture of expert model. When you farm out work, the proprietary models keep that agentic layer kind of secret. Kimi K 2.5 was like, okay, look, here's this thing called Agent Swarm. It's a technology that we built. That's also now public. And it allows you to create all, you know, a hundred sub-agents. And what that allows you to do is basically solve any complicated multi-step problem in parallel. So I think this is the moment now, if I had to make a prediction, I think there is the clear shot across the bow of closed source. And I think open source can win.
Summary
Decentralized and efficient local AI models are on the rise, reducing the need for large data centers. Technologies like Agent Swarm allow for the creation of multiple sub-agents to solve complex problems in parallel. There is a growing belief that open-source solutions can outperform closed-source models, as exemplified by the Kimi K 2.5 model's capabilities.
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