I put together the allocation table $OPG line by line and got stuck on one point. Core Contributors: 15 percent, and next to it — 1.5 billion tokens. It doesn’t add up. Supply @OpenGradient is fixed — 1 billion, that’s MiCA white paper and trackers. Fifteen percent of a billion is 150 million, not 1.5 billion. The remaining six lines are being squeezed into a billion; the percentages sum to 100. This looks more like a misprint than a hidden giveaway.
While the posts are retelling the marketing, I’m checking the numbers by hand. I paid for real usage of OpenGradient and wrote down the prices. The Image Studio images from OpenGradient cost 99 and 30 credits for different models, the Agent task is 62. Operations cost differently depending on computation weight, not on branding. Credits mapped to a computer — that’s economics, not a casino.
And what the hype misses: 4 percent of the airdrop is unlocked immediately, while Core Contributors are under a 12-month cliff with linear vesting over 36 months. Vesting keeps OpenGradient insiders on a leash; it doesn’t let them dump at launch. That’s to your benefit.
Take a look: chat.opengradient.ai — it has both usage and tokenomics. #opg
Open question: is the tenfold mistake specifically in the line about insiders just a typo nobody fixed, or does it indicate how carefully the numbers you’re looking at are being tended to before publication?
While the posts are retelling the marketing, I’m checking the numbers by hand. I paid for real usage of OpenGradient and wrote down the prices. The Image Studio images from OpenGradient cost 99 and 30 credits for different models, the Agent task is 62. Operations cost differently depending on computation weight, not on branding. Credits mapped to a computer — that’s economics, not a casino.
And what the hype misses: 4 percent of the airdrop is unlocked immediately, while Core Contributors are under a 12-month cliff with linear vesting over 36 months. Vesting keeps OpenGradient insiders on a leash; it doesn’t let them dump at launch. That’s to your benefit.
Take a look: chat.opengradient.ai — it has both usage and tokenomics. #opg
Open question: is the tenfold mistake specifically in the line about insiders just a typo nobody fixed, or does it indicate how carefully the numbers you’re looking at are being tended to before publication?