Have you ever thought about the fact that every time you chat with AI or upload files for analysis, your stuff is actually flying to servers thousands of kilometers away? Conversation records, contracts, photos... all under someone else's nose. You can only stare in disbelief and tell yourself, "It should be fine, right?" — this feeling is somewhat similar to handing your diary to a stranger; it gives you a bit of a chill inside.
Current AI systems are basically like this: for speed and usability, we have given up all data and control, but how it is processed and who can see it is completely a black box. If it leaks once, everything leaks, and trusting anyone feels risky.
Is there a way to play without being so anxious?
Recently saw a project called Nesa @nesaorg, the idea is quite bold: the queries you send (for example, "Help me check if there are any pitfalls in this contract") are encrypted from start to finish.
Then it breaks the large model into a bunch of small pieces and sends them to thousands of nodes around the world to compute. The amazing part is— 🔹No node can understand your complete data 🔹No node can obtain the complete model.
Each node only processes its own small piece of encrypted fragment, and once calculated, it combines the results, finally verifying the goods through proof to ensure no one has tampered with it.
The changes brought about by this are actually quite tangible: 🔹Your data has never been exposed; no one can sneak a peek at it. 🔹The model itself is also confidential, and those who train the model are not afraid of being stolen. 🔹The answer isn't determined by any single company, but rather is verified by the entire network, making it much more reliable.
In simple terms, you can still use very powerful AI, but the whole process is transparent and verifiable, without having to stake your privacy on "trust us."
For ordinary people, it may just mean an extra sense of security;
For industries like finance, healthcare, and law, which often check your data compliance, this may be the only bold path to embracing AI.
@nesaorg @KaitoAI
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Have you ever thought about the fact that every time you chat with AI or upload files for analysis, your stuff is actually flying to servers thousands of kilometers away? Conversation records, contracts, photos... all under someone else's nose. You can only stare in disbelief and tell yourself, "It should be fine, right?" — this feeling is somewhat similar to handing your diary to a stranger; it gives you a bit of a chill inside.
Current AI systems are basically like this: for speed and usability, we have given up all data and control, but how it is processed and who can see it is completely a black box. If it leaks once, everything leaks, and trusting anyone feels risky.
Is there a way to play without being so anxious?
Recently saw a project called Nesa @nesaorg, the idea is quite bold: the queries you send (for example, "Help me check if there are any pitfalls in this contract") are encrypted from start to finish.
Then it breaks the large model into a bunch of small pieces and sends them to thousands of nodes around the world to compute. The amazing part is—
🔹No node can understand your complete data
🔹No node can obtain the complete model.
Each node only processes its own small piece of encrypted fragment, and once calculated, it combines the results, finally verifying the goods through proof to ensure no one has tampered with it.
The changes brought about by this are actually quite tangible:
🔹Your data has never been exposed; no one can sneak a peek at it.
🔹The model itself is also confidential, and those who train the model are not afraid of being stolen.
🔹The answer isn't determined by any single company, but rather is verified by the entire network, making it much more reliable.
In simple terms, you can still use very powerful AI, but the whole process is transparent and verifiable, without having to stake your privacy on "trust us."
For ordinary people, it may just mean an extra sense of security;
For industries like finance, healthcare, and law, which often check your data compliance, this may be the only bold path to embracing AI.
@nesaorg @KaitoAI