gDac guys Let's talk about:- WHY DACT IS FIXED BUT DACC KEEPS GETTING MINTED When a blockchain says it is non-inflationary, the first question you should ask is: which token are we talking about? On DAC Chain, there are two different tokens, DACT and DACC, and they serve different purposes. DACT is the membership token. Its total supply is capped at 1 billion, and the Ethereum contract does not have a function to mint more. So, that supply is fixed. DACC works differently. It is the coin used to pay for transactions and other activities on the network. According to the whitepaper, new DACC is created at the end of each epoch to reward validators and supervisors. Locking DACT can also generate DACC through a mechanism called Rlock. In simple terms, DACT has a fixed supply, while DACC can be created as the network operates. Think of it like a company with a fixed number of ownership shares. The company can still issue receipts and pay for daily operations without creating more ownership shares. The shares and the money used to run the business are two different things. That is the idea behind DAC Chain's token model. The non-inflationary claim applies to DACT, not to every token in the ecosystem. There is also a burning mechanism. A portion of the DACC spent on transactions can be burned, meaning those coins are permanently removed from circulation. Burning DACC can also help unlock DACT from the reserve. These mechanisms help manage DACC, but they do not change DACT's 1 billion supply cap. You should also separate DACT from Interstellar points, Chip Entropico upgrades, and QE. These are part of the platform's reward and progression systems. Farming points does not create more DACT, nor does it prove that DACC issuance is properly controlled. So, whenever you see DAC Chain described as non-inflationary, remember to look at the token being discussed. DACT is the fixed supply membership token. DACC is the working coin that can be minted to reward network participants. Understanding that difference makes the whole token model much easier to follow.