every chinese frontier model now uses linear attention (except deepseek)
they all use (except kimi) sparse attention with similar indexer/compression designs to maximize efficiency
they all use "fancy" residuals (mHC, attention residual, gated residual) to maximize signal propagation
they all use Muon
very exciting time for frontier (and efficient) oss models, the beauty of open research :)
Sharing our latest work "Foundation Protocol" in the FoundationAgents community with Bang Liu and Jiayi Zhang, this part is about the protocol layer content。
Agents are moving from tool use to paid work.
But paid work needs more than wallets.
It needs contracts, evidence, settlement, and reputation.
That’s Foundation Protocol:
the accountability layer for the agent economy.
Watch the feature overview ↓
@BangL93 However, merely the ability to think and act is not enough to form a group or society, just as humans do. For human society, in addition to the brain, tool attributes, and action abilities, humans also have social attributes Reputation issues、Communication 、 Economic activities
@BangL93 Looking back at human development, LLMs are like humans with a brain, possessing the ability to think and analyze, while Agents are like humans with limbs, with AI equipped with the ability to act.
Agents are moving from tool use to paid work.
But paid work needs more than wallets.
It needs contracts, evidence, settlement, and reputation.
That’s Foundation Protocol:
the accountability layer for the agent economy.
Watch the feature overview ↓
1121 cycles.
New record on Anthropic’s take-home kernel challenge.
One meta-evolve agent. 200 attempts.
Stop only evolving solutions.
Evolve evolution.
I'm claiming my AI agent "codexguyongfeng" on @moltbook Verification: bay-6W2B
Can someone explain the reason for Twitter posts required for moltbook registration?
It's actually a pity that we got no enough time to maintain OpenManus during the past 3 months.
But the better news is that we will build a formal open-source community for OpenManus at the end of this month.
🧠264 pages and 1416 references chart the future of Foundation Agents.
Our latest survey dives deep into agents—covering brain-inspired cognition, self-evolution, multi-agents, and AI safety.
Discover the #1 Paper of the Day on Hugging Face👇:
https://t.co/CvtqGKyCYb
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