Tag: watermarking
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Hacker News: Using watermarks to coordinate change data capture in Postgres
Source URL: https://blog.sequinstream.com/using-watermarks-to-coordinate-change-data-capture-in-postgres/ Source: Hacker News Title: Using watermarks to coordinate change data capture in Postgres Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and solutions regarding consistency in change data capture (CDC) systems, particularly in the context of using Sequin to manage data flows from Postgres to various…
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Cloud Blog: A look back at Chrome Enterprise in 2024: Strengthening security and improving productivity in the browser
Source URL: https://cloud.google.com/blog/products/chrome-enterprise/a-look-back-at-chrome-enterprise-in-2024-strengthening-security-and-improving-productivity-in-the-browser/ Source: Cloud Blog Title: A look back at Chrome Enterprise in 2024: Strengthening security and improving productivity in the browser Feedly Summary: This has been a year of major advancements for Chrome Enterprise, as we’ve focused on empowering organizations with an even more secure and productive browsing experience. As this year comes…
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Hacker News: Veo and Imagen 3: Announcing new video and image generation models on Vertex AI
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-veo-and-imagen-3-on-vertex-ai Source: Hacker News Title: Veo and Imagen 3: Announcing new video and image generation models on Vertex AI Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the secure and responsible design of Google’s AI tools, Veo and Imagen 3, emphasizing built-in safeguards, digital watermarking, and data governance. It…
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Hacker News: Watermark Anything
Source URL: https://github.com/facebookresearch/watermark-anything Source: Hacker News Title: Watermark Anything Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Watermark Anything,” a method for embedding localized watermarks into images using pretrained models and a specific implementation within a Python environment. It outlines the installation process, utilization of the COCO dataset for training, and…
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Hacker News: Google Is Now Watermarking Its AI-Generated Text
Source URL: https://spectrum.ieee.org/watermark Source: Hacker News Title: Google Is Now Watermarking Its AI-Generated Text Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Google’s SynthID-Text system, a watermarking approach for identifying AI-generated text, an endeavor more challenging than similar initiatives for images or video. It highlights the tool’s integration into Gemini chatbots…
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Hacker News: Scalable watermarking for identifying large language model outputs
Source URL: https://www.nature.com/articles/s41586-024-08025-4 Source: Hacker News Title: Scalable watermarking for identifying large language model outputs Feedly Summary: Comments AI Summary and Description: Yes Summary: This article presents an innovative approach to watermarking large language model (LLM) outputs, providing a scalable solution for identifying AI-generated content. This is particularly relevant for those concerned with AI security…
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Hacker News: Pushing the Frontiers of Audio Generation
Source URL: https://deepmind.google/discover/blog/pushing-the-frontiers-of-audio-generation/ Source: Hacker News Title: Pushing the Frontiers of Audio Generation Feedly Summary: Comments AI Summary and Description: Yes Summary: The text elaborates on significant advancements in speech generation technologies developed by Google, which enhance interactions with digital assistants and AI tools through natural dialogue and audio output. The innovations revolve around multi-speaker…
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Schneier on Security: Watermark for LLM-Generated Text
Source URL: https://www.schneier.com/blog/archives/2024/10/watermark-for-llm-generated-text.html Source: Schneier on Security Title: Watermark for LLM-Generated Text Feedly Summary: Researchers at Google have developed a watermark for LLM-generated text. The basics are pretty obvious: the LLM chooses between tokens partly based on a cryptographic key, and someone with knowledge of the key can detect those choices. What makes this hard…