By mid-2025 roughly 35% of new websites are AI-generated or AI-assisted, correlating with lower semantic diversity and higher positive sentiment but showing no significant drop in factual accuracy or stylistic diversity.
Adoption of watermarking for generative ai systems in practice and implications under the new eu ai act.arXiv preprint arXiv:2503.18156, 2025
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The thesis presents a kernel method for multiaccuracy across overlooked subpopulations, information-theoretic optimal watermarking for LLMs, and a simulator showing LLM agents outperforming humans in supply chains while creating tail risks.
C2PA manifests and AI watermarks can independently validate contradictory claims on the same asset, and a cross-layer audit protocol resolves this with 100% accuracy on 3500 images.
ArcMark is a multi-byte LLM watermark that achieves distortion-free embedding of several bytes per few hundred tokens by treating generation as a channel coding problem and using optimal transport to match distributions.
citing papers explorer
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The Impact of AI-Generated Text on the Internet
By mid-2025 roughly 35% of new websites are AI-generated or AI-assisted, correlating with lower semantic diversity and higher positive sentiment but showing no significant drop in factual accuracy or stylistic diversity.
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Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents
The thesis presents a kernel method for multiaccuracy across overlooked subpopulations, information-theoretic optimal watermarking for LLMs, and a simulator showing LLM agents outperforming humans in supply chains while creating tail risks.
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Authenticated Contradictions from Desynchronized Provenance and Watermarking
C2PA manifests and AI watermarks can independently validate contradictory claims on the same asset, and a cross-layer audit protocol resolves this with 100% accuracy on 3500 images.
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ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
ArcMark is a multi-byte LLM watermark that achieves distortion-free embedding of several bytes per few hundred tokens by treating generation as a channel coding problem and using optimal transport to match distributions.