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
The video discusses Agent Swarm, an open-source technology that allows parallel problem-solving through multiple sub-agents, highlighting its potential to challenge closed-source models.
Key Points
- Agent Swarm enables parallel problem-solving with multiple sub-agents.
- Kimi K 2.5 is a trillion parameter mixture of expert model.
- Proprietary models keep their agentic layer secret.
- Open source technology offers a competitive edge against closed source.
- This moment signifies a potential shift in AI development.
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Repurpose Ideas
- LinkedIn post: Discuss the impact of open-source AI on industry.
- Tweet: Share insights on parallel problem-solving with Agent Swarm.
- Blog post: Explore the advantages of open-source technologies in AI.
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