If you code, this is for you! Gensyn Code Assist makes coding faster, smarter, and more affordable all powered by decentralised GPU compute This is perfect for ML builders and Web3 developers who want speed and power without high compute costs. Building the future with

If AI is the new oil, Gensyn is the refinery. Right now, it is expensive and limited. Gensyn changes this 1. Idle GPUs join the network 2. AI developers use them to train models 3. Everyone benefits Just like Crude oil → Refinery → Gasoline Raw compute → Gensyn → AI

Gensyn is solving the biggest problem in AI right now. And most people does not even know about it yet. Let me explain in simple terms THE PROBLEM: Training AI models is expensive. Very expensive. Only companies like Google, Microsoft can afford it. A small developer or

Even aliens can not take the Gensyn power These ants are pulling together with full force just like how the Gensyn community works as one strong team. When everyone contributes, the network becomes more powerful, more secure, and more unstoppable. Teamwork plus decentralisation

Happy to Share! I just received the Event Winner role in the Gensyn community for winning the GeoGuessr event Super fun experience, amazing community vibes, and always great to learn and play together Big thanks to the Gensyn team and everyone who joined the event More events,

Want to understand more? Read the research here https://t.co/rD0duija6a @gensynai #Gensyn

If you are building or using AI models in Web3, or planning to outsource heavy ML compute this tech is very powerful.

Easy takeaway When two workers agree, we trust. When they disagree, we catch the liar fast. No wasting money. No wasting compute.

In short, Verde brings Trust without trusting people Verification without rerunning full models Speed without heavy cryptography Fairness in decentralised compute markets

This system is now running inside Gensyn Judge, a module that helps check results from decentralised workers. This means the tech is not just theory it is already used in production.

Why is this important? Because AI compute is getting expensive. More teams want to outsource model training, fine tuning, and inference. But outsourcing without trust equal risk. Verde makes outsourcing safe.

What does Verde verify? The correct model was used The correct data was used The correct compute steps were followed It does not say the model itself is perfect. It just proves the worker did not cheat.

To solve this, Gensyn made RepOps repeatable operations. These ops give the same result on different hardware. So honest workers will always match. And liars will get caught.

But ML has a problem Different GPUs give slightly different numbers. Even if both are honest, their results may differ. That makes verification hard.

This checking is called a bisection game. The system quickly jumps to the first “wrong step”. Only that small step is rerun. So verification becomes very cheap.

Think of it like two students writing the same exam. If their final answers are same => ok. If different => teacher checks only the first question where answers differ. No need to check the full paper again. Simple and fast.

Gensyns new system Verde gives a simple but smart solution Two providers run the same ML job They give the outputs If everything matches, good. If not, we check only the part where they differ.

Many systems today ask you to just “trust the provider" or use heavy cryptography or expensive retraining to verify the result. All of these are slow or unreliable.

How do you trust someone else to train your AI model… when you do not even know if they did the work honestly? This is a big problem in AI and decentralised compute.

Racing ahead with pure Gensyn energy These ants are speeding through the desert just like how Gensyn is moving fast in the decentralised AI world. When many small forces come together, big things happen. Just like this powerful swarm riding forward @gensynai #Gensyn