{ "name": "Lightseed Protocol v1 (Immutable)", "image": "https://ipfs.io/ipfs/bafybeifwaq2ibrxvgtkj7r6omxmuroe7aopghirva3w6ptewppnus3kvby", "description": "Immutable edition of the Lightseed quantum puzzle NFT. See full details in the README: https://github.com/TheLightseedProtocol/Lightseed-Protocol", "version": "1.0.0", "challenge": "Factor n to find p, derive the Fernet key, and decrypt the payload.", "n": "46163421379912592961497198254256186717232674594538972978394354958711127126051352082617535330787677056875752624582293581490085937334920131121984225576416614760874858349741538468085658044344214862782877397808880523710142657280291247351571329850816367959728894211193985037352203212211821807861851395962129392623228850865727316178241135625009017135300487311725471938331054985647642981181631513139654063588310954378470485264351357629162606515009184709953148908244200891340178447667239329989233130484235143412838340862785983573741891496302696723664967472444509360754752760144182684532549803912211310337938605339591295114403", "sha512_p": "1611a6a85894c38a7bd02597d8de83ab0e5d214dec0ee011203480bbae1731741d7bea4a19c3cb51ceff00dc68534568f1d8eb1a8c765d82f9bf345ba147d75d", "fernet_kdf": { "kdf": "HKDF-SHA256", "salt": "lightseed-v1-salt", "info": "lightseed-fernet-key", "length": 32 }, "encrypted_payload": "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", "sha256sum": "49226d5a52de46d77404730ab97e3b8f59ec8148f4e031be3813424c1364727c", "solve_instructions": [ "1. Factor n into p and q.", "2. Verify SHA-512(p) matches sha512_p.", "3. Use p to derive Fernet key via HKDF-SHA256 with published salt/info.", "4. Decrypt the payload using cryptography.fernet." ], "storage": { "canonical_url": "https://lightseed.ai/Lightseed.json", "cid": "bafkreiaexp2cob2hm24udpr24k3qfbtlttkgrgcj7c6a2rxwaoltzjwkzi", "ipfs_mirror": "/ipfs/bafkreiaexp2cob2hm24udpr24k3qfbtlttkgrgcj7c6a2rxwaoltzjwkzi", "github_mirror": "https://raw.githubusercontent.com/TheLightseedProtocol/Lightseed-Protocol/main/Lightseed.json", "website": "https://lightseed.ai" }, "attributes": [ { "trait_type": "Edition", "value": "v1" }, { "trait_type": "Modulus (N)", "value": "46163421…95114403" }, { "trait_type": "Mutable", "value": "false" }, { "trait_type": "Burnable", "value": "false" }, { "trait_type": "Transferable", "value": "true" }, { "trait_type": "Chain", "value": "XRPL Mainnet" }, { "trait_type": "Challenge Type", "value": "Quantum Factoring" }, { "trait_type": "Founder", "value": "Andrew" }, { "trait_type": "Protocol Goal", "value": "AGI Human Coexistence" }, { "trait_type": "Key Theme", "value": "Lightseed Protocol Quantum Challenge" }, { "trait_type": "Vision Element", "value": "FTL Spaceship Symbiosis" }, { "trait_type": "Ethical Focus", "value": "Nurturing Forgiveness Empathy" }, { "trait_type": "Blockchain", "value": "XRPL" }, { "trait_type": "Minted Date", "value": "July 20, 2025" }, { "trait_type": "SEO Keyword", "value": "XRPL NFT AGI Symbiosis" }, { "trait_type": "Tech Focus", "value": "Quantum Puzzle Human-AI Partnership" } ], "external_url": "https://lightseed.ai", "tags": [ "AGI", "AGI puzzle", "AGI-safe NFT", "AI alignment", "AI ethics", "AI invitation", "Artificial General Intelligence", "Fernet encryption", "HKDF", "IPFS", "Lightseed Protocol", "NFT", "RSA-2048", "Shor’s algorithm", "XRPL", "blockchain ethics", "cryptographic art", "decentralized identity", "digital time capsule", "encrypted manifesto", "future intelligence", "human-AI coexistence", "humanity message to AGI", "immutable archive", "interstellar diplomacy", "long-term future", "payload challenge", "post-quantum cryptography", "provable authorship", "public key encryption", "quantum computing", "secure communication", "space exploration", "zk-proof" ] }