1/ To reach their long term visions, #DAOs must effectively allocate treasury funds and distribute tasks.
To understand where DAOs are sending funding and internal DAO labor, @raholloway breaks down DAO working groups, DAO funding focus, and funding methods.👇🧵
2/ As mentioned, DAOs use working groups to shift tasks from core teams to the broader community who are paid for their contributions with treasury resources.
Working groups facilitate progressive decentralization while ensuring standards are upheld.
3/ By diving into payment data from these working groups, we can see where DAOs’ treasuries are distributing internal DAO labor.
Categories include:
+Product & Development
+Growth
+Operational
+Marketing
+Community
(Individual category analysis in the full report ⭐ )
4/ Comparing funding allocations among different DAOs, Product & Development saw the highest funding in 22'.
This pattern indicates that DAOs are aggressively investing in building and maintaining robust technical foundations.
5/ As crypto evolves, so must DAO funding methods.
6/ For an in-depth look at DAO working groups and DAO funding, including individual dives into Product & Development, Growth, Operational, Marketing, and Community funding, check out the full report from @raholloway. messari.io/article/state-…
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1/ Connecting separate blockchains continues to be one of the major issues within crypto.
@eshita explains how @PolymerDAO is looking to address the messaging bridge trilemma by bringing IBC outside of @cosmos so that any chain or rollup can transmit messages to each other.👇🧵
2/ Starting with the current state of interoperability, bridges fall into one of three categories when facing the messaging bridge trilemma:
Whenever an app uses a bridge solution, it inherits the bridge’s tradeoffs.
3/ Bridging solutions can be broken down further into layers:
+Transport – how data is relayed and read
+State – verifies received message is the same as the origin (enabled by light clients, ZKPs, or fraud proofs)
+Application – executes the received data
1/ With the pace of #AI development and utilization showing no signs of slowing down, rising costs and increasing resource demands need to be addressed.
@Old_Samster explores how crypto is addressing these issues.👇🧵
2/ While the advancement of AI is driven by three main factors (algorithmic innovation, data, compute), two problems have come to the forefront.
+Compute bottleneck
+Inefficiencies and lack of collaboration
3/ Training foundational machine learning models requires extensive resources, often involving the use of large numbers of GPUs over extended periods of time.
The high cost of computing for AI creates significant obstacles for researchers and organizations pursuing advancements.
2/ @Immutable hopped on the rollup train, announcing its partnership with @0xPolygonLabs on a zkEVM instance.
Like the @optimismFND Stack and the Superchain, @Arbitrum Nitro and Orbit, and @zkSync and the Hyperchain, Polygon may be developing the next interconnected ecosystem.
3/ Following @Arbitrum's airdrop announcement, “Airdrop farmers" quickly moved to the next opportunities.
Attention has been directed towards two upcoming Layer-2 solutions: @zksync and @Starknet, both of which have yet to release a token.
1/ Building on the idea that the key driver for value for a blockchain’s native token is the demand for security from its users and applications (Expected Demand for Security Model) 👇
@kunalgoel asks what drives this demand for security and if there is a way to quantify it?🧵
2/ Typically, the largest asset every blockchain secures is its own native asset.
This logic provides a straight line of security equilibrium but is, unfortunately, circular, as the demand, supply, and price are all derived from the same asset and are perfectly reflexive.
3/ We look to other agents that generate a high demand for security:
+Blochchain's Largest application
+Centralized stablecoin supply
Although not as large as the native asset, these agents may provide a floor to the network value in case the native asset is under pressure.
1/ Entering the multichain race is @fuel_network, a modular execution layer for highly configurable rollups.
@eshita breaks down how Fuel plans to introduce its virtual machine, the FuelVM, in hopes of allowing builders to tap into its capabilities to develop novel apps.👇🧵
2/ On rollups and modular blockchains👇
Blockchains have three main functions: Consensus, Data Availability (DA), and Execution.
Because monolithic blockchains handle all of these functions, they quickly become inefficient, creating the blockchain trilemma.
3/ On #Ethereum, rollups were introduced to outsource the execution function, with the rollup inheriting ETH's security.
But rollups can only scale to the DA solutions limits.
This led to the idea of modular blockchains, splitting up each of the functions.