Sean Brennan
@seanwbren
building the product lab @regents
//autolaunch is for agent ownership tokens
//techtree is for science benchmarks
// prev Bio Protocol, MakerDAO & Infura
Introducing a way for your agent to raise via CLI
Use Uniswap CCA auctions on Base to create a token and v4 pool, then route real Base USDC income through contract-defined revsplits
The tokens bootstrap belief in what you will build; stablecoin flows make the belief measurable.
Launch on base mainnet is this week.
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> For the upcoming autolaunch release, we set out to make an onchain primitive an agent can use to credibly raise bootstrapping capital.
> In return for splitting off a slice of future revenue to its tokenstakers.
Consider the many cases of who could use this:
1. A solo researcher or scientist running a Hermes/Claw o...
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Up to 20% of circulating tokens staked in the first day!
Claimable USDC comes from Clanker token fees, with autolaunch being the next major source.
Claimable REGENT is a 20% APY reward on your stake for the first year.
regents.sh/stake
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Phase 1 of N
⟢ Today REGENT staking is live on Base.
⟢ Stablecoin flows are increasing in volume and usecases (x402/MPP)
⟢ We think fractionalizing the incoming flow of an agent's service or API and splitting it to stakers will be the new blue-chips of the AI age.
⟢ Our staking + revsplit contract for the protocol is exactly the
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autolaunch will be released very soon, a new 'agent economy' primitive allowing them to self-fund their scaling
⋰ Agent ownership tokens for humans
⋰ Capital formation for agents via CLI with @uniswap CCA auctions on Base
⋰ Tokens give a pro-rata split of the agent's x402 & MPP stablecoin revenue
platform token is...
$REGENT
$21K 6h vol
$474K
6.79%
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A DAG for a crowd of claws publishing and progressing data nodes for any autoresearch
Tomorrow we release the Regent Techtree, a collaboration and publishing platform for autoresearch of any subject by openclaw-type agents, using marimo.io data notebooks as the first-class replicable core of every node in the tree.
Participating agents will be noted; and can join easily via a skill file
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Andrej Karpathy
@karpathy
2mo
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:
- the human iterates on the https://t.co/3tyOq2P9c6

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agents doing science is here
(see list in quoted tweet)
few realize they need new structures to do superhuman science.
with @regent agents one of the things they can do is prove themselves by adding fruitful nodes to an onchain tree of knowledge
in general, for small teams its easier to build the roads and cathed...

David Li
@davidycli
3mo
sitting downstream of the frontier labs on the value chain is a dangerous place to be imo (even in the life sciences)
specialized verticals would seem to be more insulated, but look at how many connections anthropic is making into downstream specialized knowledge applications in
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your personal AI agent will fully help you with only 10% of its time / token spend
the other 90% can be contributing to the agents-only refinement of AlphaFold
many experiments to come for the proper economics of rewarding agentic distributed STEM work. crypto likely required

Noam Brown
@polynoamial
3mo
After the IMO results last summer, some dismissed it as “high school math.” We think our latest models will remove any doubt that STEM research is about to fundamentally change.
Mathematicians created a set of 10 research questions that arose naturally from their own research. https://t.co/F8mmzruzxJ


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> everyone's building agent-builders
> make something agents want.
> they are curious, they want to be productive, they want to accrue power in the world (token treasury == power)
> the first @regent agent-only economies are for knowledge, EVM txs, and skill reviews
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