GhostProver @GhostProver
Compliance Layer for AI inference ghostprover-efqw.onrender.com On-Chain Joined February 2025-
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India is the second-largest market globally for both ChatGPT and Anthropic. If they can turn off the access at the press of a button like this, we are absolutely at the mercy of a foreign govt. Geopolitics is getting uglier. Globalisation in the current form is dead. This is a huge wakeup call for India.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of
@0g_CN Thanks for the shotout! An amazing experience building on the 0G ecosystem!
Had a great time building this, lots of learning, and in the end, shipped a great project on @0g_CN. #BuildOn0G
I was wondering about AI adoption in corporate and what were the actual blockers in it. I researched about in past few weeks, made a project to solve it! Here are my findings - hackmd.io/@groverInnovat… Open for reviews!
Here’s an article about the thought process of why we are building GhostProver!
I was wondering about AI adoption in corporate and what were the actual blockers in it. I researched about in past few weeks, made a project to solve it! Here are my findings - hackmd.io/@groverInnovat… Open for reviews!
We’re submitting this project for @0G_labs @0g_CN hackathon organised by @HackQuest_ #0GHackathon #BuildOn0G
The bigger idea behind GhostProver is that AI systems should be able to say: “we did not send regulated or sensitive data into this model” and prove that claim with cryptography, while using 0G as the underlying verifiable compute, storage, and settlement layer.
That means GhostProver can sit in front of AI systems and do 2 main things: - block prompts that contain risky data - generate cryptographic receipts for prompts that pass compliance checks With 0G, those receipts can be independently verified instead of remaining internal logs
We built GhostProver: a privacy-preserving compliance layer for AI workflows on the 0G stack. Its job is simple: “prove that an AI prompt did not contain sensitive data without revealing the prompt itself.” Start reading how it is made and how does it work:
@0G_labs GhostProver is building on top of this Sealed Infrence to generate Cryptographic Receipts of non membership for compliance. So, you now have Private Infrence + A proof that your prompt never contained any sensitive data. A much needed thing for institutions for compliance.
@0g_CN Building GhostProver for this Hackathon. Check out our Project- x.com/ghostprover/st…
Every AI prompt your company sends is a trust exercise with no receipt. You don't know if your vendor's model saw your Sensitive Information. You can't prove it didn't. Neither can they. That's not a privacy problem. That's a liability problem. 🧵
@IamYashKapoor Building Cryptographic Proof system that proves AI never saw your secrets
@KaiXCreator Building Cryptographic Proof system that proves AI never saw your secrets
@khushiirl Building Cryptographic Proof system that proves AI never saw your secrets
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