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Jonatan Borkowski
j14i
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Public reports allege that Anthropic gobbled up trillions of tokens of copyrighted material and public data to build their castle. ๐ฐ๐ Now that they're sitting on top, they're begging for special laws to protect their profits while pulling the ladder up behind them. ๐ช๐ซ But the hypocrisy meter just broke! ๐ They are accusing Chinese labs like DeepSeek, Minimax, and Kimi of "huge distillation attacks. The Reality is that You can't just loot the entire internet's library, lock the door, and then sue everyone else for reading through the window. Stop trying to gatekeep the tech you didn't own in the first place. Read the complete article on it: https://huggingface.co/blog/Ujjwal-Tyagi/the-dark-underbelly-of-anthropic
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Stop sending sensitive data across the network. Sanitize it directly in the browser. ๐ก A recent blog post by A. Christmas provides a practical guide on how to achieve exactly that. They demonstrated a powerful form of anonymization: PII masking at the edge. The vision is simple but profound: keep sensitive data off the network entirely by sanitizing it in the browser. With the Ai4Privacy pii-masking-200k dataset serving as the foundation for their work. It provided the high-quality, diverse examples of PII needed to fine-tune a specialized DistilBERT model, one that is accurate, fast, and light enough to run client-side. This is the future we are working towards: a world where developers are empowered with the tools and data to build powerful AI systems that respect user privacy by design. This is exactly why we build our datasets, and we're thrilled to showcase this project that turns the principles of data privacy into a practical, deployable solution. ๐ See their innovative approach in action: https://ronathan.esr-inc.com/automatically-sanitize-data-in-the-users-browser-with-ai/ ๐ Stay updated on the latest in privacy-preserving AIโfollow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/ #OpenSource #DataPrivacy #LLM #Anonymization #AIsecurity #HuggingFace #Ai4Privacy #World's largest open privacy masking dataset
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