- ai
- cryptography
- defi
2024 Crypto Meta-Analysis
A meta-summary of various 2024 crypto market outlooks.
A meta-summary of various 2024 crypto market outlooks.
Semiotic Labs explores the integration of Private Set Intersection (PSI) in blockchain to tackle Maximal Extractable Value (MEV) issues. Utilizing fully homomorphic encryption, the protocol aims for trustless operations and enhanced performance in tasks like access list comparison and private auctions.
This article was co-authored with Howard Heaton, from Edge & Node, and with Hope Yen, from GraphOps.
This article explores the principles and mechanisms behind the many popular Automatic Market Maker designs currently used in production. While the mathematical details of these designs are fascinating in their own right, this article seeks to instead focus on graphical representations and high-level concepts, allowing for a more approachable and exhaustive exploration of the space._ _Watch our related Devcon 2022 talk here: [https://www.youtube.com/watch?v=KxuyHfmLHP0](https://www.youtube.com/watch?v=KxuyHfmLHP0).
Indexers in The Graph have control over the pricing of the GraphQL queries they serve based on their shape. For this task, The Graph created a domain-specific language called Agora that maps query shapes to prices in GRT. However, manually populating and updating Agora models for each subgraph is a tedious task, and as a consequence, most indexers default to a static, flat pricing model._ _To help indexers with pricing in the relative resource cost of serving different query shapes, as well as following the query market price, we are developing AutoAgora, an automation tool that automatically creates and updates Agora models._ _See our related Devcon 2022 talk here:_ _[https://www.youtube.com/watch?v=LRl9uFfmjEs](https://www.youtube.com/watch?v=LRl9uFfmjEs)_.
Indexers within The Graph Protocol are rewarded via an indexing reward. How can indexers optimise their allocations so as to maximise the reward they receive? In this blog post we formalise the problem in terms of a reward function and use convex optimization to find a solution.
It is expensive to run transactions on the Ethereum EVM. Verifiable computing (VC) lets us outsource computing away from the EVM. Today, a popular and exciting form of VC algorithm is the SNARK. There are various families of SNARKs that use the sum-check protocol, which is a simple algorithm to introduce VC. This is a tutorial on the sum-check protocol. This post is focused on how the sum-check protocol is implemented - it does not go into theory. You can skip straight to the finished code [here](https://github.com/0xsamgreen/sumcheck)._Thank you to Gokay Saldamli, Gabriel Soule, and Tomasz Kornuta for providing valuable feedback on this article._