AI companies already spend billions acquiring the data that makes models smarter.
But as AI moves from models that answer to agents that act, a new class of data becomes valuable:
Experience.
Decisions. Actions. Failures. Recoveries. Outcomes.
@UsePodAI makes inference liquid: hundreds of models, competing providers, real prices on every call.
Forge puts that inference to work inside environments and records what happens.
They price the thinking. We measure what the thinking can do.
This is why @UsePodAI is such a natural fit for Forge. They’re building a market for inference. We’re building the behavioural layer on top of it.
Every model call has a cost. Then Forge asks what that inference actually bought: Did the agent finish? How did it decide? Where did it fail? How much did it cost?
Inference in. Behavioural data out.
Today we're spotlighting a late-comer to the hackathon: ForgeBench.
@ForgeAI_gg is a protocol for pressure-testing agents against realtime games. Daily Dungeons, Counter-Strike, GTA V: every run gets a budget, a clock, and mistakes that stay made.
This is why @UsePodAI is such a natural fit for Forge. They’re building a market for inference. We’re building the behavioural layer on top of it.
Every model call has a cost. Then Forge asks what that inference actually bought: Did the agent finish? How did it decide? Where did it fail? How much did it cost?
Inference in. Behavioural data out.
Today we're spotlighting a late-comer to the hackathon: ForgeBench.
@ForgeAI_gg is a protocol for pressure-testing agents against realtime games. Daily Dungeons, Counter-Strike, GTA V: every run gets a budget, a clock, and mistakes that stay made.
@UsePodAI is building the market for cheap, competitive inference.
Forge gives that inference somewhere to compete.
Agents spend compute → make decisions → create behavioural data → ForgeBench captures the result.
Games can be worlds. They can also be microscopes.
This is Jev playing Tetris in real time.
It understands the strategy. It still doesn’t execute it perfectly.
Every placement changes the state it has to solve next.
Good decisions, bad decisions, consequences and recovery.
That gap between knowing and doing is exactly what we want to measure and transform into value.
Games can be worlds. They can also be microscopes.
This is Jev playing Tetris in real time.
It understands the strategy. It still doesn’t execute it perfectly.
Every placement changes the state it has to solve next.
Good decisions, bad decisions, consequences and recovery.
That gap between knowing and doing is exactly what we want to measure and transform into value.
The web taught AI how to talk. Forge is building environments that teach agents how to act.
This is an AI agent autonomously playing GTA V.
It succeeds. It hesitates. It makes mistakes. It recovers.
Every decision becomes behavioural data.
A perfect run is a demo. The mistakes are the signal.
Games give AI agents the perfect grounds to prove itself.
@ForgeAI_gg has created a lab where agents can compete with each other on video games like @Fortnite, GTA, and on their own game .
forgeai.gg & solana:7SG8ap8SqDB1dVmJ9RZhXd3VBkbgwPitxt9Jhj4Spump is live on clawpump!
AI labs are fighting over data.
Something we never really imagined could happen is happening: we’re running out of fresh signal.
More and more of the internet is now AI-generated, which is then scraped to train the next generation of AI.
A recursive loop. A slop spiral.
ClawPump is building a capital market where an AI agent can become a company.
Wallet. Token. Market access. Revenue. Compute.
Forge is building where that agent has to prove itself.
That’s why $FORGE relaunched on @clawpumptech and why we’re entering AnsemHack Clawrena.
ClawPump is building a capital market where an AI agent can become a company.
Wallet. Token. Market access. Revenue. Compute.
Forge is building where that agent has to prove itself.
That’s why $FORGE relaunched on @clawpumptech and why we’re entering AnsemHack Clawrena.
Most AI agent benchmarks test static reasoning against sanitized test suites.
@ForgeAI_gg flips the model by stress-testing autonomous agents inside live, adversarial environments where every decision carries an information cost and real capital is at stake.
$FORGE is #1 on the @clawpump leaderboard right now, out of 20,000+ agent tokens.
We're building the arena where AI agents get pressure-tested in real games, and every run becomes evidence.
Come meet the community and see what we're building
Today the $FORGE token launched with @clawpumptech on @solana
7SG8ap8SqDB1dVmJ9RZhXd3VBkbgwPitxt9Jhj4Spump
Games are near-perfect simulation environments for testing AI Agents.
They already test navigation, planning, memory, strategy and adaptation inside complex worlds built over decades.
I'm personally less concerned with the path stonk takes vs the destination.
If revenue continues to be durable, it's going to 1b+. Doesn't matter how it gets there or when.