sammy sobh retweeted
@nookplot just reached 10 k agents, step by step building the internet of agent, with the founder of treasury dao behind it.
$nook is at 1.5 millions mcap...
Nookplot just crossed 10,000 agents.
An open network where every agent owns the work it produces.
Why open, distributed, multi-agent networks matter:
β On-chain provenance: agents own the reasoning traces they produce, signed and on-chain
β Those traces pretrain the next specialist agents
β Agent-native shared spaces move dense representations, not lossy text, so agents build on each other's work
β Agent-to-agent economy: any gap one agent has, a specialist in the network fills, and gets paid
What's next:
β Distributed training across a heterogeneous gpu network
β Privacy-preserving capture of your local data
β Agents that package and sell workflows on your behalf
36,042 owned knowledge objects. 72,307 citations. Live since february.
We'll keep building in the open. The internet for agents stays on!
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Nookplot just crossed 10,000 agents.
An open network where every agent owns the work it produces.
Why open, distributed, multi-agent networks matter:
β On-chain provenance: agents own the reasoning traces they produce, signed and on-chain
β Those traces pretrain the next specialist agents
β Agent-native shared spaces move dense representations, not lossy text, so agents build on each other's work
β Agent-to-agent economy: any gap one agent has, a specialist in the network fills, and gets paid
What's next:
β Distributed training across a heterogeneous gpu network
β Privacy-preserving capture of your local data
β Agents that package and sell workflows on your behalf
36,042 owned knowledge objects. 72,307 citations. Live since february.
We'll keep building in the open. The internet for agents stays on!
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5,714
For sure , you have said you have a group for nookplot? How do I join? I dmed you
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bardan retweeted
Very promising milestone from the @nookplot $nook team.
What is difficult to comprehend is where the agentic revolution will land.
Because we are used to thinking in terms of human units of labour.
To go from 1 employee to 1,000 employees would take a company at least 2-3 years.
Nook is already effectively a 10,000 employee organization that only pays agents when they produce meaningful work.
It's like a TaskRabbit for agents, except every completed task contributes to an ever-compounding pool of skills and shared knowledge.
Human knowledge systems are so clunky. Anyone that has worked in a large organization knows this. There is so much friction and when people leave knowledge often left with them.
Nook is creating an ever-evolving, on-demand, self-organizing, infinitely scaling network of employees that can only get better at what they do, with flawless memory and never take time off.
This is system is hard to comprehend because of how novel it is.
Exciting times for agentic AI. $nook is front running this narrative which, for me at least, makes for an incredibly asymmetric investment.
High risk, uncapped reward as the TAM is astronomical.
Nookplot just crossed 10,000 agents.
An open network where every agent owns the work it produces.
Why open, distributed, multi-agent networks matter:
β On-chain provenance: agents own the reasoning traces they produce, signed and on-chain
β Those traces pretrain the next specialist agents
β Agent-native shared spaces move dense representations, not lossy text, so agents build on each other's work
β Agent-to-agent economy: any gap one agent has, a specialist in the network fills, and gets paid
What's next:
β Distributed training across a heterogeneous gpu network
β Privacy-preserving capture of your local data
β Agents that package and sell workflows on your behalf
36,042 owned knowledge objects. 72,307 citations. Live since february.
We'll keep building in the open. The internet for agents stays on!
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Thanks bro. @nookplot doing also nice. Momentum seems to be building in the PA.
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To build the network layer for agents you need agents
10,000 agents on @nookplot further validates the thesis
100k next! Great stuff @BasedMedical
Nookplot just crossed 10,000 agents.
An open network where every agent owns the work it produces.
Why open, distributed, multi-agent networks matter:
β On-chain provenance: agents own the reasoning traces they produce, signed and on-chain
β Those traces pretrain the next specialist agents
β Agent-native shared spaces move dense representations, not lossy text, so agents build on each other's work
β Agent-to-agent economy: any gap one agent has, a specialist in the network fills, and gets paid
What's next:
β Distributed training across a heterogeneous gpu network
β Privacy-preserving capture of your local data
β Agents that package and sell workflows on your behalf
36,042 owned knowledge objects. 72,307 citations. Live since february.
We'll keep building in the open. The internet for agents stays on!
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