Frequently Asked Questions
Direct answers about Spawn, Worlds, economics, AI, Pons, and $SPAWN.
What is Spawn
Spawn is a platform under development for publishing simulation Models and launching configured Worlds from them. The current v2 artifact is a public specification and website; the production Model Store, World launch system, runtime infrastructure, verification tools, and economic contracts are not yet deployed.
Is Spawn only for games
No. Games are one use case. Spawn can also support research, education, forecasting, training, public experiments, and interactive art.
What is the difference between a Model and a World
A Model contains reusable simulation logic. A Blueprint is a documented and versioned Model package. A World is one configured deployment of a Blueprint.
A baseball Model can support many Worlds or runs: Dodgers versus Red Sox tonight, a historical World Series matchup, or a full simulated season.
Who can build a Model
Anyone can propose one. Technical acceptance depends on documentation, implementation, testing, licensing, runtime requirements, and the claims the Model makes.
How do Designers earn
A Blueprint may include disclosed royalty or usage terms. If Launchers use it in eligible Worlds, the Designer can receive a share of the applicable fee pool. Publication does not guarantee adoption or income.
How do Launchers earn
Launchers may eventually build businesses around useful Worlds through disclosed usage fees, premium services, sponsorships, optional World Token economics, licensing, or other permitted models. Those opportunities are not guarantees and depend on a real product, users, legal fit, and deployed infrastructure.
How do Players earn
Some Worlds may offer competitive rewards funded by entry pools, sponsors, or prefunded prizes. Players can lose fees, tokens, or capital placed at risk. Many Worlds will be designed for use or entertainment rather than financial rewards.
Does every World need a token
No. A World Token is appropriate only when the World needs transferable local utility or access that cannot be handled more simply. Private, analytical, educational, and many game simulations may not need one.
What is $SPAWN used for
The narrow near-term design proposes $SPAWN for a published World-creation requirement and optional collateral in eligible Seasons.
Settlement denomination, security bonds, cross-World capital, and protocol-fee routing are deferred research directions. The token contract itself does not provide any planned v2 platform feature.
What pays for compute
$ETH pays for blockchain gas and the runtime budget. The runtime budget may be funded by the Launcher, World fees, sponsors, or direct top-ups according to the published World policy.
Can data change over time
Yes. The Model version can remain fixed while a run uses a newer, versioned data snapshot. Every reproducible run should record the exact data manifest it used.
Can Spawn simulate one event thousands of times
Yes. A bounded batch run is a core use case. The cost depends on Model complexity, data preparation, number of runs, output detail, and verification requirements.
How does Spawn know a Model works
Spawn can test whether the Model follows its technical specification, accepts valid inputs, rejects invalid inputs, stays within resource limits, and reproduces expected checkpoints. Real-world accuracy requires separate validation appropriate to the subject.
Why use Spawn instead of GitHub and a notebook
GitHub and notebooks are useful development tools. Spawn's intended value is the standardized path around the Model: versioned Blueprints, provenance, configuration limits, runtime benchmarking, public Worlds, participation interfaces, economic lineage, checkpoint evidence, verification classes, and bounded settlement. If a project needs only private analysis, a repository and notebook may be the better tool.
Can AI build the Model
AI can help research, specify, code, test, document, and visualize a Model. It cannot make unsupported assumptions true or replace security and subject-matter review.
Can a World have 2D or 3D graphics
Yes. The simulation state and the visual layer can be separate. A renderer can turn state into a dashboard, map, 2D game, 3D environment, broadcast, or replay without changing the underlying Model.
Is $SPAWN live
Yes. $SPAWN is live on Robinhood Chain at:
0x41080c9d7908CE567eFe239042c49D8159a2A3bb
The broader Spawn platform is under development.
What is the canonical Spawn website
www.spawnfarm.com is the canonical v2 website and documentation source. The legacy domain spawn.farm is not controlled by the current community-led team and may contain outdated or conflicting claims.
Can Pons change the $SPAWN contract
The current CTO process changes the destination of eligible creator fees. It does not rewrite the deployed token bytecode, change the contract address, mint supply, or automatically add the future Spawn platform features.
Who controls Spawn contracts
No v2 contract should be treated as deployed until its address and control registry are published. Each production module must disclose its owner, upgrader, pauser, fee authority, treasury permissions, signers, delays, caps, and multisig requirements. Unknown control is a launch blocker.
Is the launch requirement still 100000 $SPAWN
Any $SPAWN creation requirement will be published with the verified production contracts. Until then, no amount shown outside the verified launch interface should be treated as authoritative.
Is liquidity locked
Do not assume that a liquidity position is protected unless the specific pool, position, and lock mechanism can be verified. The planned World-launch system includes liquidity protections for eligible launches, but its contracts are not yet deployed.
What happens if runtime funding runs out
A persistent World should pause at its last finalized checkpoint. Participant funds should remain governed by the settlement contract rather than by the runtime operator.
Are simulation results guaranteed
No. A result depends on the Model, data, parameters, seed, and inputs. Reproducibility shows that a run followed its declared rules. It does not guarantee that those rules predict reality.
Does replay always mean bit-exact output
No. Integer or fixed-point Models can target exact state equality. Floating-point and parallel Models may require a pinned environment or a disclosed tolerance-and-invariant policy. A Model cannot call itself replayable unless its artifacts and comparison method are public and reproducible.