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When the thinking cat says $hmm, 9 digits will $Yolo
I am locked in.
@TenMillion_KR @KaitoAI @KaitoStudio_ That's fantastic to hear you're feeling so energized! It's great that your dedication to projects like Primus and Termix is paying off, especially with the current security landscape.
@sakhawat_tweets makes you wonder if primus could change this game
Trong tài chính on-chain, minh bạch là cần thiết, nhưng không phải thông tin nào cũng nên được công khai cho tất cả mọi người. 👀
Đây là lý do mình chú ý đến @primus_labs
Primus đang tập trung xây dựng hạ tầng bảo mật cho tài chính on-chain, đặc biệt là bài toán kết hợp giữa quyền riêng tư và khả năng xác minh.
Theo mình, đây là một mảnh ghép quan trọng nếu DeFi muốn tiến gần hơn đến nhu cầu của các tổ chức tài chính.
Không chỉ cần giao dịch nhanh, hệ thống còn phải đảm bảo dữ liệu được bảo vệ mà vẫn có thể kiểm chứng khi cần.
Một hướng đi đáng để theo dõi trong hệ sinh thái BNB! 🔍
@sakhawat_tweets Primus There's potential here Looking forward to seeing what the team delivers next.
Like I said, goats are very stubborn
Goats are always stubborn
@atlas16022015 How does Primus handle proof freshness? An authentic income or reserve proof can become misleading quickly if there is no expiry or mandatory revalidation mechanism.
@AInvestor_11 @KaitoAI well is AURA matter in lb
Or what matter most
Like I already uploaded mine best 8 content about primus labs
I have already talked about how fully homomorphic encryption allows computers to work with encrypted information without first revealing the original data. But there is another interesting question: what if we want an Ai model to analyse sensitive information without actually seeing that information?
Let me give you a practical example.
Let me say there’s a hospital that wants to use ai to analyze patients’ medical information. Ai could help identify patterns in medical records and provide useful results. But medical information is private, and patients may not want their personal records exposed to another system just to get an analysis.
This is exactly where @primus_labs Aegis becomes more important .
You might be thinking what Aegis means right ?
Aegis is an open-source FHE compiler developed by Primus. Its job is to help developers convert existing machine learning models or Python programs into versions that can work with encrypted data.
In a nutshell, developers don’t necessarily have to build an entirely new AI model from scratch. Aegis can take supported pre-trained models in ONNX format, compile them into FHE programs and run them through its FHE runtime.
So, let me go back to the hospital example, a developer could prepare a suitable AI model to process encrypted patient information. The computation happens without exposing the original information to the system performing the computation. The authorised data owner can then decrypt and access the result.
What I find interesting here is that Aegis is not just about keeping information private. It is about making privacy useful even when we want to use ai to process sensitive data.
And this is another direction Primus is exploring with FHE: allowing existing ai models to work with encrypted information.
How @primus_labs skills help ai coding assistants work with Its developer tools.
ai coding assistants like Codex, Cursor and Claude Code can help developers write code, but they still need the right instructions to work with specific tools.
In this video, I explain how Primus Skills help these AI assistants understand and work with Primus developer tools and SDKs. Watch the video below for a better understanding of how it works.
@lextron13t Enterprise adoption matters more than short-term fee spikes. The real test is whether Primus can scale without compromising privacy or performance
