0G Labs released a tech update of what the development team has been up to last week.

Here's a brief overview of key things you missed👇🏾

📍1. Multi-cloud TEE Integration

@0G_labs has announced that it is expanding its secure computing to include @alibaba_cloud and @googlecloud TEEs. But what does this mean?

A TEE is a secure data processing area that allows for the secure computation of sensitive data. In other words, TEEs allow data to be computed with maximum flexibility without security or privacy risks.

For 0G Labs, this means that all AI computations now get a massive privacy boost while simultaneously leveraging Alibaba and Google's multi-cloud support to guarantee better flexibility and scalability.

Good stuff!

📍2. Restaking Is Coming

It's no secret that 0G Labs has been working on restaking powered by AI. However, it would seem that restaking events are coming sooner, rather than later.

According to the 0G Labs tech team, they're already working on syncing restaking events with the DeAI L1's consensus layer (CometBFT-ABCI).

Definitely something exciting to look forward to.

📍3. Testnet Fixes

The Galileo V3 testnet has been fun to interact with but there have been some annoying bugs. Luckily, recent updates have taken care of that.

=> Faucet bugs have been squashed so you can now seamlessly request for testnet tokens.

=> The scanner tools (Chainscan and StorageScan) are working better now

=> You can also now upload datasets and models with ANY filename! So no more focused formats.

Meanwhile, I should also mention that inference providers now run entirely within TEEs, allowing for optimal security and privacy during executions.

This already tells you that 0G Labs is prioritizing the security and privacy of its AI-powered processing and computation.

You shouldn't need me to tell you this but things are heating up on the AI and 0G Labs landscape. If you're still sitting on your hands, it's time to wake up and get active!

0gm