After looking closer at @MeteoraAG's DLMM vaults, I gathered all my findings in this guide: Hitchhiker's Guide to Meteora DLMM Vaults. ☄️
Let’s take a look!
Would have to disagree. For protocols that manage risk, buybacks are extractive.
Projects like USDAI, Maple, and most Perp DEXs underwrite risk via pool-based designs. Those instruments (sUSDAI, syrupUSDC, JLP) are mechanically both equity and collateral, similar to a reinsurance sidecar.
They all reprice on the protocol’s operational efficiency and absorb losses represented in NAV.
In most cases, fees to buybacks come at the cost of incentivizing underwriters.
@DougieDeLuca Agreed, every protocol requires its own framework. But disclosure doesn't fix mispricing if the framing is wrong.
For example, the market views Perp DEX LPs as simple yield instruments when they're mechanically closer to equity.
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A couple thoughts:
- The mass of data is negligible. The difference in weight from loading a HDD or SSD is less than the weight of the actual drive.
- If dark matter is undistilled information, wouldn't it simply be transformed, rather than swell the system, when it gets ported to physical drives?
- "Breaking reality" seems more philosophical than anything, but if I were to relate it to something it makes me think of when AI and robotics simultaneously peak in capabilities. That's the closest to "playing god" that humans can achieve.
- An adjacent idea that represents data being an additional state of matter is Digital Matter Theory (DMT): "Digital Matter Theory proposes that it is possible to create a form of digital substance by leveraging the inherent patterns present in data." Basically, if we can capture specific patterns in data, we can derive value (since value = scarcity). https://t.co/asdfc89ICd
Ultimately, I think at some point in the development of technology things may be unable to be explained, whether its because of it being a relatively new phenomena, or divinity.