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The scaling hierarchy in blockchains: Computation > data > state Computation is easier to scale than data. You can parallelize it, require the block builder to provide all kinds of "hints" for it, or just replace arbitrary amounts of it with a proof of it. Data is in the middle. If an availability guarantee on data is required, then that guarantee is required, no way around it. But you _can_ split it up and erasure code it, a la PeerDAS. You can do graceful degradation for it: if a node only has 1/10 the data capacity of the other nodes, it can always produce blocks 1/10 the size. State is the hardest. To guarantee the ability to verify even one transaction, you need the full state. If you replace the state with a tree and keep the root, you need the full state to be able to update that root. There _are_ ways to split it up, but they involve architecture changes, they are fundamentally not general-purpose. Hence, if you can replace state with data (without introducing new forms of centralization), by default you should seriously consider it. And if you can replace data with computation (without introducing new forms of centralization), by default you should seriously consider it.

Category Labs may, from time to time, purchase up to $30 million of MON tokens on the open market in the first half of 2026 in accordance with applicable laws and regulations. Any purchases, if made, may be initiated, suspended or discontinued at our discretion. This announcement does not constitute a commitment to acquire any specific amount of tokens, but reflects Category Labs’ intent to consider opportunistic purchases depending on market conditions.