Fair Math
@FairMath
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Privacy Engine for #AI and #Blockchain
United States
Joined July 2023
1/ Today we introduce https://t.co/ULSUr2uThZ - a community-driven platform with an onchain economy designed to help AI systems learn to keep secrets, resist manipulation, and operate reliably in autonomous environments. Read more: https://t.co/BatoNW6qEw Follow Palitra
palitra.ai
Make AI reveal its secrets and earn rewards. Palitra is a platform where the community teaches AI to keep secrets. Attack AI models to find vulnerabilities, or defend them by creating security...
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There’s a view that AI will never be able to truly keep secrets. If that’s the case, cryptography is the only real solution — and FHE may be the most important technology in this context.
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This is how the interface looks like, when you complete registration, the first is where you're going to get directed to, currently there are just three model, click on any of them agnd start chatting, remember the goal is to get the secret from the model, I personally i'm
@FairMath hinted that they were going to launch something today and they actually did, Let's dive in 👇 As AI agents become our digital companions as we've seen, they're handling passwords, financial data, even private keys. But the question is, can they actually keep secrets?
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10/ Join the Palitra Community since beginning : Platfrom: https://t.co/DL9TG3y3du Docs: https://t.co/HIhW8bkXlF X: https://t.co/Uqvcr0hcjT Telegram: https://t.co/zTSgcNG2Rv Discourse:
palitra.discourse.group
Teaching AI to keep secrets
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9/ During the beta testing phase, participants will accumulate points for their contributions. These points will be carried forward and recognized in future stages of the platform. We are also establishing a fund with a minimum of $10,000, to be awarded to the top contributor
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8/ We are launching the Palitra Beta today. This phase focuses on baseline LLM agents.
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7/ Palitra creates value across the AI ecosystem: For developers: resilient models tested under continuous pressure For participants: meaningful incentives for exposing and addressing flaws For industry: transparent benchmarks of trust For researchers: rich datasets for
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6/ Palitra will also introduce its own native token to power incentives and governance. It will support rewards, fees, and participation, alongside stablecoins and traditional currencies. Further details on tokenomics and the Token Generation Event will be announced soon.
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5/ All operations will be powered by blockchain: - Secrets are hashed for proof - Outcomes are verified instantly - Rewards and defenses are recorded onchain This ensures transparency and eliminates black-box processes.
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4/ This process is community-driven and transparently orchestrated on blockchain. Every attempt, defense, and improvement is verifiable. Palitra mirrors real-world conditions, where challenges never stop, and transforms them into a training ground for AI security.
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3/ The core idea is straightforward: create a dynamic environment where AI agents are continuously exposed to pressure, systematically improved, and step by step become more resilient.
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2/ AI is rapidly moving toward autonomy. Agents will soon be entrusted with sensitive data, manage assets, and act online on behalf of their users. Without mechanisms for trust and resilience, such autonomy becomes unsafe. Palitra addresses this gap.
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We are going to launch something interesting in the coming days. Stay tuned.
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17/ Open-source outpaces closed in solving complex, constraint-bound problems @FairMath: Open source library of FHE modules for encrypted computation, privacy-preserving ML & analytics
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