About Gensyn (AI)

So what exactly is the Gensyn (AI) coin?

AI is the token that powers Gensyn’s decentralized compute network—a kind of crowd-sourced supercomputer for training models. Developers pay in AI, node operators earn it, and the protocol uses crypto rules to keep everyone honest. It’s surprisingly straightforward once you see it as compute credits rather than another flashy crypto coin.

How does the token actually function inside the protocol?

In short: it settles the work. Submitters spend AI, solvers train models, verifiers check the outputs. The token also ties into staking and slashing. There’s a rhythm to it—pay, compute, confirm—that keeps the system from drifting into chaos.

How is the total supply divided across sale, team, and ecosystem?

Out of 10B tokens, the public sale gets 3% (300M) and community/testnet rewards add another 2%. The rest goes to team, investors, and ecosystem build-out. Exact slices aren’t fully published yet. You might find that slightly annoying… but it’s typical for infra projects still mid-launch.

What’s the real shape of the vesting and lock-up design?

Buyers can unlock at TGE or take a 12-month lock with a 10% bonus. U.S. users must lock. Locked tokens stay frozen—no selling, swapping, or clever hedging. The older investor rounds haven’t disclosed their cliffs, although long schedules are more or less standard for networks like this.

Who funded Gensyn, and how much money has actually come in?

Across four rounds, Gensyn has raised just over $101M: $1.1M pre-seed, $6.5M seed, $43M Series A (a16z leading), and $50.60M from the 2025 public sale. The investor list is long—CoinFund, Galaxy, Hypersphere, Zee Prime, Eden Block, Protocol Labs, and others. A few even joined multiple rounds, which tends to signal conviction rather than casual interest.

What’s worth knowing about the testnet, rewards, and community programs?

The testnet kicked off in March 2025 with RL Swarm, BlockAssist, and node-based training. Activity there matters: it feeds into multiplier rewards and allocation priority rather than a fixed airdrop. Community involvement—Discord, Twitter, open-source contributions—also nudges your position upward. It’s a bit of a puzzle, but not a bad one.

Where will AI eventually trade, especially against usd or usdt?

For now, everything happens through the English-auction public sale, which accepts USDC and USDT. No AI/USDT markets exist yet. After token claiming in early February 2026, exchanges should appear, though the project hasn’t committed to specific venues. That’s normal at this stage, even if traders wish it weren’t.

What’s the near-term roadmap once the token goes live?

After TGE, the move is toward full mainnet—staking, compute payouts, and real economic activity. Apps like RL Swarm, BlockAssist, and Delphi gradually shift from experiments into something sturdier. The ambition is big: make decentralized AI compute feel less exotic and more like a standard tool developers can rely on.

And the risks—are they just the usual crypto warnings?

Partly, yes. Verifying machine-learning work at scale is difficult, and a flaw in the incentive game could cause issues. Regulation around AI and crypto is tightening. Hardware supply swings matter more than people think. And, of course, this is still a young network, competing with both cloud giants and other decentralized compute projects. Worth keeping in mind.