Introducing multi-agent self-improvement with LLMs! llm-multiagent-ft.github.io Instead of self improving a single LLM, we self-improve a population of LLMs initialized from a base model. This enables consistent self-improvement over multiple rounds.

It's happening soon.

(1/6) Introducing a powerful solution for managing and steering multiple AI agents in #Jiroo. 🧵Start with cloning .agentic-cursorrules alongside your main repository to enforce domain boundaries and prevent cross-agent conflicts:

But they are going to.

The next meta of onchain AI agents will be multi-agent systems. Currently, a single agent takes inputs, performs actions, and expresses outputs (usually on Twitter). Multi-agent systems enable AI agents to "spawn" other AI agents that specialize & communicate with each other.

#DeepSeek is good but multi agent framework is much much better. $BTC is good but a portfolio including $Sol $Ray $Jup is better in the long term.

Multi-agent collaboration has emerged as a key AI agentic design pattern despite the previous weeks hype of AI agent or frameworks like elizaOS and swarms.

$Jiroo pump.fun/coin/6GgDh2ihg…

$Jiroo 6GgDh2ihgCHYFYzGRsML2nVthm6cJF5YvJHfeALHpump

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