Lately, the concept of Vibecoding became quite popular in the Crypto space. Initially, I thought that it is just a fancy buzzword created by one KOL for marketing purposes. But once I got down to analyzing recent code merges implemented by @OpenLedger , I found out that they have done a lot of good stuff on the basic level.
Let's start from the development process. OpenLedger is not an opportunity to do whatever you want, creating your contracts as crazy as they can be. What makes this blockchain stand out is its approach to state tree management, memory allocation and boundary conditions solving. $JCT As you know, all those aspects need to be sorted during the compilation phase.
The worst part about developing smart contracts on your own is the danger of locking a wrong branch, thus risking to get a reentrancy vulnerability. And this platform tries to compile your code, translating the logic described by you into the secure bytecode, which makes me feel more confident. In terms of performance during heavy market fluctuations, let's see how it works. Now, let's move to cross-chain.
It offers an EVM bridge that includes a multi-signature authentication mechanism similar to an electronic voting machine together with economic game design. While traditional threshold signatures have low overhead, the latter has exponentially higher costs associated with any malicious actions. Think you want to play around? Be sure to consider what you are risking. The idea is very clever; however, the time it takes to confirm transactions is a little too much. As I did my own test transaction with it, it still took quite a while before I received my assets.
Trading some extra time for additional security is acceptable for me, though. What I am really excited about is how deeply the system is integrated with DeFi. In particular, it includes support for ERC-4626 yield vault standard within its own virtual machine. The standard is not supported by many other blockchains, and those that support it usually lack the required precision due to some implementation flaws. As a lover of mathematical accuracy, I appreciate it. However, upon thinking about it, in case something goes wrong with the VM, everything built on top of it would be at risk.
And there you have it with respect to on-chain developments. The truly game-changing element in OpenLedger is its use-case in the AI space. There exists one very old problem within AI that OpenLedger managed to address successfully. That is the absence of transparency regarding data contribution and value distribution. One such initiative is the implementation of Payable AI.
In essence, there is a Proof of Attribution (PoA) technology. The idea behind it is simple - it is tracking the trail of AI inference via cryptographic means: what data was used, who contributed what, how the model was trained, all registered on-chain. To get more technical about it, the solution was implemented using OP Stack L2 protocol, EigenDA, Chainbase for structure data handling, and Theoriq for execution recording of AI Agents. One advantage of this modular approach is that transaction fees are relatively low, thus making it perfect for high-frequency transactions within AI scenario. Another innovative concept within Payable AI is Datanets – building data networks by vertical sectors with full attribution to data contributors and validators from these networks. Upon invocation of models, contributors will be paid according to their influence through PoA.
The cost of an AI inference within this economic model includes several elements: platform fee, percentage going to the model provider, a part for stakers, and a portion for the data contributors. Data contributor's share is calculated based on their contribution ratio.
And finally, here's my personal experience.
I have tested their OpenChat product recently, and the costs of tuning that particular Specialized Language Model were quite reasonable, and also you could see how the fees were allocated on-chain. And this is an amazing advantage since traditional AI products cannot offer anything like that. There's no doubt there are many difficulties with this approach:
1. The algorithm's parameters within Proof of Advantage are mostly executed off-chain at the moment. However, they've said that in the future some parts will be open-source and on-chain verified, which, if implemented, would increase transparency immensely.
2. Network effects still need time to kick in. We need more high-quality Datanets, enough models, and various use-cases in order to spin this flywheel.
3. The project is relatively new and the ecosystem is still being developed.
To conclude, it should be stated that OpenLedger has created a solid basis in many respects, including on-chain development, experience with cross-chain, $BILL native integration with DeFi, as well as AI value contribution. PoA and Payable AI concepts are definitely created to solve industry issues, the current economy of AI seems to be a black box for everyone who wants to get some profits from it. You invest your data, you invest your time into model fine-tuning, but you do not get the returns. In this area, anyone can build a great story about the project, and, however, the key aspects remain code, its successful on-chain deployment, and future ecosystem growth.$OPEN
