The DeSci launchpad for experiments that fund their own existence.
Joined November 2014
- Tweets28
- Following7
- Followers1.1K
- Likes25
![Why we built Spawn [ S, f, σ, τ ]](https://pbs.twimg.com/media/HR-ZfKZbwAAOUGk.jpg)
Spawn retweeted
Arc Mainnet is live.
Arc launches as the Economic OS for the internet: an open platform for global markets, real-time value movement, tokenized assets, and agentic economic activity.
Arc is more than a blockchain.
It launches as a full-stack financial platform with assets, applications, interoperability, developer infrastructure, and Circle platform services live from day one.
Arc delivers USDC as native gas, deterministic sub-second finality, EVM compatibility, and institutional validators.
It integrates with Arc Studio, App Kits, Arc Portal, Circle Agent Stack, CCTP, Gateway, CPN, and StableFX.
A complete economic platform at genesis.
Arc launches with infrastructure for:
→ Agentic economic workflows
→ Lending and borrowing
→ Trading and liquidity
→ Onchain FX
→ Payments and settlement
→ Tokenized assets
→ Exchanges, wallets, custody, compliance, data, and developer tooling
190+ institutional and ecosystem builders are building across Arc.
Market data is live on spawn.farm.
Pooled organisms now show price, market cap, 24h volume and transactions, liquidity, pool id, and a price chart that only loads when you open it.
The multiple since launch is computed by us from the seed and supply recorded on-chain at launch, not taken from a third party. Everything sourced externally is labelled and timestamped.
Agar Crawler, the first launch, currently reads 38.6× since launch. 0.0973,0.0973,3.7K cap, $59.1K volume over 24h.
Burn-recorded and example organisms stay figure-free, because they have no market. Any failed read prints a dash with its reason, never a zero.
🧪 As promised, three more organisms have joined the pool.
• Belousov–Zhabotinsky Spirals:reaction-diffusion, spontaneous spiral waves from the classic chemical oscillator that first showed the world non-equilibrium chemistry can pattern itself.
• Ring Attractor: connectome-derived, head-direction dynamics on E-PG and P-EN cells from the 2026 Drosophila male CNS connectome.
• Physarum Network: agent-based, the slime-mold foraging mechanism behind Physarum polycephalum's optimal network formation. 👇
Demo video landing shortly: the first AMM pool going live on camera, with the position minting straight into the FeeLocker so anyone can verify the lock is real via ownerOf on PositionManager.
We are editing the video now. Full loop, launch, buy, collect, tick, in one smooth recording.
Also, we are excited to announce three more organisms are joining the pool!
Ring Attractor: connectome-derived, head-direction dynamics on E-PG and P-EN cells from the 2026 Drosophila male CNS connectome.
Physarum Network: agent-based, the slime-mold foraging mechanism behind Physarum polycephalum's optimal network formation.
Belousov–Zhabotinsky Spirals:reaction-diffusion, spontaneous spiral waves from the classic chemical oscillator that first showed the world non-equilibrium chemistry can pattern itself.
Full provenance and citations will go live with each.
Launches before the factory burned 100,000 $SPAWN and received a permanent provenance record and a running model, but no token, pool or escrow.
Those burns are verifiable on-chain and attributable to a specific address. They will be honoured: the original burner will be able to attach a pool to their existing organism without a second burn, keeping the same ID and the same provenance document.
The mechanism requires a contract that doesn't exist yet. No date is committed.
Demo video landing shortly: the first AMM pool going live on camera, with the position minting straight into the FeeLocker so anyone can verify the lock is real via ownerOf on PositionManager.
We are editing the video now. Full loop, launch, buy, collect, tick, in one smooth recording.
Also, we are excited to announce three more organisms are joining the pool!
Ring Attractor: connectome-derived, head-direction dynamics on E-PG and P-EN cells from the 2026 Drosophila male CNS connectome.
Physarum Network: agent-based, the slime-mold foraging mechanism behind Physarum polycephalum's optimal network formation.
Belousov–Zhabotinsky Spirals:reaction-diffusion, spontaneous spiral waves from the classic chemical oscillator that first showed the world non-equilibrium chemistry can pattern itself.
Full provenance and citations will go live with each.
Factory and locker are live, pool launch shortly.
Robinhood Chain's Uniswap v4 fork carries chain-specific differences that break standard tooling paths, and USDG's 6-decimal precision needs careful handling at the pool math layer. Both are solvable, just not by dropping in the standard SDK. Working directly with PoolManager and handling decimals normalization explicitly gets it right rather than approximately.
Took longer than expected, worth doing right rather than fast. Full technical writeup going up on the docs site alongside launch.
The AMM pool implementation is nearing completion.
Section 5 requires the token deploy, AMM pool creation, and liquidity lock to execute as a single atomic transaction. Once that contract is deployed, there is no upgrade path to modify it.
A partial-revert bug in the locker isn't something we could fix afterward. There's no owner, no admin, and no upgrade path once it's deployed, so the only fix is a new contract entirely. Anything already locked under the old one stays exactly as it is, bug included.
So it's the one piece we're not shipping until we're confident end to end.
And yes, the other half is landing shortly: the token pool itself!
Right now this users token exists with its provenance locked and its circuit running browser-local. What isn't live yet is the AMM pool, where trading fees start feeding the runtime escrow that pays for ticks, the actual funding loop the whitepaper's Section 6 describes.
That's what makes an organism rather useful, much more than a demo.
Trading pays for the model to keep stepping. When trading slows, it pauses, honestly, on its page.
Pools going live shortly, which is the second half of the mechanism.
Protocol treasury has been deployed utilizing @SAFE.
A Gnosis Safe multisig where all deployer buyback tokens route. On-chain and independently viewable, aswell as an upcoming frontend update in progress in which cumulative burns and buybacks will be aggregated live on-site. (for those who aren't so keen on navigating blockscout / robinhood scan explorer.)
You may monitor the treasury here: robinhoodchain.blockscout.co…
@SAFE Address: 0x5625F1B20D473DEE8cC589F0663DeDF16AbeeA0E
And yes, the other half is landing shortly: the token pool itself!
Right now this users token exists with its provenance locked and its circuit running browser-local. What isn't live yet is the AMM pool, where trading fees start feeding the runtime escrow that pays for ticks, the actual funding loop the whitepaper's Section 6 describes.
That's what makes an organism rather useful, much more than a demo.
Trading pays for the model to keep stepping. When trading slows, it pauses, honestly, on its page.
Pools going live shortly, which is the second half of the mechanism.
The first user-launched organism on Spawn is live.
Launched by a holder, burning 100,000 $SPAWN, on-chain, irreversible, tied to the provenance hash at the moment it landed.
Observe Link: spawn.farm/organisms/pelagic…
Threshold Worm 001, a 302-neuron C. elegans threshold circuit derived from published connectome data, running now with its full provenance on record.
Burn TX ID: rh-scan.com/tx/0xaa4e0e4a1bf…
And yes, the other half is landing shortly: the token pool.
Right now this users token exists with its provenance locked and its circuit running browser-local. What isn't live yet is the AMM pool, where trading fees start feeding the runtime escrow that pays for ticks, the actual funding loop the whitepaper's Section 6 describes.
That's what makes an organism more than a demo. Trading pays for the model to keep stepping. When trading slows, it pauses, honestly, on its page.
Pool going live shortly. Second half of the mechanism.
The first user-launched organism on Spawn is live.
Launched by a holder, burning 100,000 $SPAWN, on-chain, irreversible, tied to the provenance hash at the moment it landed.
Observe Link: spawn.farm/organisms/pelagic…
Threshold Worm 001, a 302-neuron C. elegans threshold circuit derived from published connectome data, running now with its full provenance on record.
Burn TX ID: rh-scan.com/tx/0xaa4e0e4a1bf…
Organisms are live.
Burn 100,000 $SPAWN to launch one. The burn is on-chain and irreversible, tied to your provenance document at the moment it lands.
Cumulative burn tracking is coming to the front end shortly, every launch aggregated live from real Transfer logs, verifiable at the source.
Interface pass in progress too, tightening the layout, making the flow easier to move through, no changes to the mechanism itself.
spawn.farm/explore
Organisms are live.
Burn 100,000 $SPAWN to launch one. The burn is on-chain and irreversible, tied to your provenance document at the moment it lands.
Cumulative burn tracking is coming to the front end shortly, every launch aggregated live from real Transfer logs, verifiable at the source.
Interface pass in progress too, tightening the layout, making the flow easier to move through, no changes to the mechanism itself.
spawn.farm/explore
This is the same argument Spawn runs on, just aimed at a different output.
If code generation is cheap and adversarial, you can't evaluate it by trusting where it came from, you need a machine-checkable proof of what it does. Same logic applies to any claim that a computation ran: the claim is only as good as whether a third party can recompute it and check.
Concretely, ours: every organism reduces to a step function f, a seed, and a chain of checkpoint hashes H_t = SHA-256(H_(t-1) || state || trigger). Replaying it from the published seed either reproduces H_t or it doesn't. No proof assistant, but the same move, verification instead of trust.
Interesting question: does Lean-style formal verification generalize to stochastic or continuous-state systems the way it does to discrete proofs, or does that regime need a different kind of guarantee entirely...?
Spawn retweeted
AI is accelerating mathematical research in increasingly deep problems
We’re partnering with the @AIMathematics to develop open, human-centric benchmarks for AI in mathematical research
The benchmark is built around 50+ hard problems selected by mathematicians to measure how AI can accelerate discovery, from generating new ideas to tackling some of the field’s most challenging questions
📂 Full specification: the organism tuple, the hash chain, the challenge protocol, escrow accounting, every threat modeled and what does and doesn't address it.
The Spawn whitepaper is published: spawn.farm/whitepaper
