Süleyman Yüksel

Galatasaraylıyım. Sokak Kedisine Lens Takar Van Kedisi Diye Satarım. Havaalanında Dedektörden En Az 2 Kere Geçer Yine Öterim.| Akdeniz Üniv. - Sistem Mühendisi

[Süleyman Yüksel @yukcell07]

@BlumTalk 0.05

[Süleyman Yüksel @yukcell07]

@blumcrypto https://t.co/bVImCcl7Yu

[Hera @HeraAggregator]

The first step of Hera's 3rd generation is here! 🌟

As the spearhead of the Hera V3 upgrade, which we're developing with full force, we've revamped our branding and website. Let's dive deeper into this exciting journey.

Take a first look at the new: https://t.co/Daj5l7xX6e ✅

[Hera @HeraAggregator]

The rebranding, release of the new website, and introduction of the new Hera vision will take place next week. Also the audit process for Hera V3 is planned to begin before the eom.

Stay tuned! 👀🥰

[Hera @HeraAggregator]

F O C U S 🫵

Don't let our silence cause concern; things are moving full steam ahead in the background, and soon we'll start the countdown for v3 along with new Hera branding.

[Süleyman Yüksel @yukcell07]

@CryptoHelinss https://t.co/tBleEeLPbT

[Hera @HeraAggregator]

We’ve wrapped up our work for the @LayerZero_Labs RFP and officially submitted the draft we discussed with the community.

As the Hera team, we prioritized using #LayerZero technology in our allocation while also considering the use cases of Hera's products and token. In the end, we created a fair and reasonable allocation plan that includes the entire community.

And big shoutout to the LZ team for running a flawless operation from day one.

Here is our RFP: https://t.co/dyAhYmKlwc

[Hera @HeraAggregator]

rejuvenation is on the way 🧑‍🎨

[Hera @HeraAggregator]

Our #AI core is surpassing expectations, achieving near-perfect routing precision and processing trillions of possibilities in an instant. After more than two years of development, core finally ready to V3!

We're also making steady progress on new landing and dApp. Stay tuned!

[Hera @HeraAggregator]

We'd like to announce the progress on upcoming #Hera upgrades and other matters: 👇

1⃣ The pathfinder-core and ai-core modules for the V3 upgrade are fully ready.
2⃣ Work continues on updating the landing page and logo as part of the new branding effort. We are revamping both the website and the docs.
3⃣ We're preparing new router contracts as Assembly, approaching completion, followed by auditing processes.
4⃣ Work on the new dApp UI, which will be released with V3, started yesterday. We're also creating a detailed GraphQL module, aiming for the UI to feature swapping, a portal, and history. This also means that Hera Dashboard will be integrated into the UI.
5⃣ We've implemented a solution that enhances the stability of load balancers in offchain pathfinder modules. We've integrated another AI module as a layer where all instances will be optimized.
6⃣ Our desire to create not just an aggregator but also a swap portal is clear. Thus, we've prepared an advanced token-db module. There will be a data layer for all details of each token, and both the UI and pathfinder will directly connect to this data repository. Each thread will operate in isolation during the progress process but will act connected to the command-chain during operation.

Steps are already being taken to pave the way for the transition to the interchain process. All modules will meet standards that allow connection to multiple chains, and when the time comes, they will be activated directly with messenger models.

We understand and agree with the community's concerns about our silence; however, we will be even quieter until everything is ready, then we are preparing our arsenal for a strong voice. Rest assured that the kitchen is extremely busy, and everyone is making great efforts. This stressful development period will bear sweet fruits.

Keep working! 🦾✌️

[Metis🌿 @MetisL2]

If you're looking for the best swap rates on #Metis, do yourself a favor an check out @HeraAggregator!

Hera's AI-powered aggregator and novel features help users find the best routes and get the best swap rates across the Metis ecosystem.

Try it out! 🔗https://t.co/rOaD8kQhdK

[Süleyman Yüksel @yukcell07]

@s_selamet Iyi bayramlar Devrem

[Hera @HeraAggregator]

Liquidity Migration Announcement

The HERA/USDC pool on @TheHerculesDEX v3 has been successfully deployed. Addy, this LP has been integrated into the liquidity sources for the our dex aggregator on Metis.

[Hera @HeraAggregator]

New liquidity sources! @TheHerculesDEX is now integrated into the Hera on @MetisL2 ✅

As we continue our efforts on V3 upgrade, we're also striving to keep our current model up-to-date.

Btw, UI upgraded to v6.1. It's recommended to hard refresh or clear cache to avoid errors.

[Hera @HeraAggregator]

Is Hera truly powered by artificial intelligence #AI, or is Hera just another project opting for it as a pump trend term?

Nah! Hera has its own AI core and dozens of modules for a long time now. For over two years, it has been continuously fed by data from various chains, and it will be ready for the upcoming v3 upgrade. So, how does Hera's AI-core work and where does it come into play within the protocol?

First and foremost, you should know this: Hera has an off-chain AI-powered pathfinder. It supports the incredible need for interoperability with great strength. While workload is handled by servers, your swap transactions are executed in a decentralized manner. Now, let's delve into what Hera AI's off-chain model does:

◾️ Hera-AI: It self-trains, continues to be fed by chain data in real-time, and has backpropagation capability with each user action. It's packable, distributable, upgradeable, and optimizable. It can scale on the Artificial Neural Network (ANN) to coordinate with datasets, rebooting itself for each chain's characteristics. In short, it's Hera's core and the backbone of the protocol.

Our High Conversion Argument (HCA) module, developed by our team, has been redesigned from scratch, and all liquidity access has now been homogenized. The HCA module is triggered by active chain requests and embedded into the AI core as a data packet. Our AI modules play an active role in finding liquidity paths. Through Hera-AI, billions of possibilities are computed, and a fast response is obtained. Addy, the search depth is dynamically changeable, determining how deep the pathfinder will search. If you want a quick response, it offers you an easy path by selecting only the most efficient LPs; however, if waiting a bit longer for maximum output isn't an issue, it can route through all LPs at maximum search depth. Or, an agent can be selected to optimize everything for you.

Let us tell you about another feature. Within a route, a liquidity pool can be used multiple times. This is a structure that makes the potential of a liquidity pool within the same route available for multiple uses, significantly increasing the workload. Multiple calculations form new layers within the computation. Optimization is managed by Hera AI.

We build and operate AI models in Python, and we handle routing and computation in a layerable low-level manner, akin to Rust, C, etc. We observed a 52% increase in performance and stability from our existing model.

◾️ Meet Hera AIVM! AIVM is Hera's AI-powered virtual machine. Hera's AI core only takes commands from the VM. It breaks down requests coming to the pathfinder, directs them to waiting cores, and is responsible for responding to the obtained calls. It also houses multiple AI models internally.

▫️ AI-Based Load Balancing in Cloud Computing Environment for Hera: Managed and responsible for tasking requests, overseen by Hera AIVM. It monitors all loads in real-time and manages the routes of requests with AI-supported performance reports. It determines which processors will handle incoming requests based on the type of requests.

▫️ We are currently working on the Chaotic Horse Ride Optimization Algorithm (CHROA). With this metaheuristic algorithm, we aim to increase instant decision-making abilities through the compilation of large data sets. We will implement a fast, sustainable, and stable load balancer model. We are also exploring transition pathways to Telemetry applications, which will directly impact our communication model in load balancing. Revolutionary!

◾️ AI Clustering: We apply an approach model among all liquidity pools on the chain. We do this by creating data clusters. Upper clusters and dynamically changeable lower clusters relative to them can change dynamically based on movements on the chain. Here, there is a LM that organizes unsupervised clusters and persistent clusters. While the LM takes strategies from the algorithm, it uses them with Hera-AI.

For example, we classify major liquidity pools for each chain as part of a persistent cluster. In addition to these side clusters and LPs associated with each cluster are identified. There is an AI core that scores criteria such as the health status, characteristics, accessible resources, and risk status of LPs. The management of clusters is also organized here and presented to Hera-AI as data in pathfinding.

◾️Price & Liquidity Aggregator: It is a new generation oracle structure revolutionized by artificial intelligence strategies with bidirectional data flow provided by Hera AI. Hera or derivative products source all token data from here. AI modules here define some datasets for all tokens and liquidity and continuously update them via on-chain data. Hera will track each token and liquidity for all integrated chains and send them when requested.

This is where we've loaded the power of #Nvidia into Hera models for the first time. We've turned the inability of GPUs to process 256-bit data into an alternative tool during the computation phase and entrusted it with the optimization of on-chain data. In the next phase, we will leap onto a path that is still theoretical and unproven, so let's keep that a secret for now because Nvidia's door will be knocked on! 🤫

It's quite challenging to simplify the improvements made here for everyone to understand. That's why we've rolled up our sleeves for a V3 introduction encompassing all these Hera modules' outcomes. We want to prepare a performance report including tests on the mainnet.

Currently, all AI models affiliated with Hera are running smoothly and flawlessly. All AMM models to be integrated have been identified, and 80% of these protocols have been placed into the core. We are now addressing the details of packaging these models for user use and request optimizations. Our initial goal is to release V3 on @MetisL2 and @arbitrum. Then we will expand to all major chains one by one.

In the next post, we'll delve into the price & liquidity aggregator in detail.

Keep on building! - Elips from Hera Kitchen 👨‍🍳

$HERA

[Süleyman Yüksel @yukcell07]

@AlbertoMetis $hera @HeraAggregator

[Süleyman Yüksel @yukcell07]

@btcoinmag @HeraAggregator $hera

[Süleyman Yüksel @yukcell07]

@binance @HeraAggregator $hera

[Hera @HeraAggregator]

Hey fam, we've also completed the AI integration into the modules on the HCA side for V3 upgrade. Pathfinder is finally working exactly as we wanted. Now we're starting to turn this into a product. Our excitement level is increasing more and more :)

⌛️

[Süleyman Yüksel @yukcell07]

@teknikyolcusu26 @teknikyolcusu26