Generative AI refers to artificial intelligence systems capable of creating new content, such as text, images, music, or code, based on patterns learned from existing data. These systems utilize complex algorithms, often deep learning models, to produce novel outputs that mimic human creativity. Their function is to synthesize original material rather than simply analyze or classify existing information.
Context
The proliferation of generative AI is a subject of significant discussion across technological and financial sectors, including cryptocurrency. News often explores its applications in content creation for marketing, code generation for smart contracts, and even the potential for generating synthetic data for testing decentralized applications, raising questions about intellectual property, automation, and the future of digital creation.
This research introduces novel pseudorandom error-correcting codes, a cryptographic primitive for provably secure and tamper-resistant watermarking of generative AI outputs.
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