{"id":21575,"date":"2026-10-15T12:14:31","date_gmt":"2026-10-15T12:14:31","guid":{"rendered":"https:\/\/news.theck1.no\/?p=21575"},"modified":"2026-10-15T12:14:31","modified_gmt":"2026-10-15T12:14:31","slug":"google-deepmind-gives-ai-designed-proteins-a-watermark","status":"publish","type":"post","link":"https:\/\/news.theck1.no\/?p=21575","title":{"rendered":"Google DeepMind Gives AI-Designed Proteins a Watermark"},"content":{"rendered":"

AI-rewritten:<\/strong> This is a summary of an article from Singularity Hub, rewritten by AI (Qwen, running locally) to make it easier to read. The facts come from the original article – read it for the full story.<\/p>\n

Singularity Hub • Shelly Fan • October 5, 2026<\/strong><\/div>\n\n

Google DeepMind has developed a new method called SynthID Bio to label proteins created by artificial intelligence. This system works similarly to existing tools that mark AI-generated text, images, and video. Instead of adding a visible stamp, the technology subtly alters design choices during the creation process. These tiny adjustments create a statistical signature that detectors can identify as AI-made without changing the protein’s function.<\/p>\n

<\/p>\n

James Diggans from Twist Bioscience noted that DNA synthesis companies play a vital role in scaling this innovation responsibly. However, not all scientists support the approach. Oliver Crook at the University of Oxford warned that watermarking could add unnecessary complexity to research by producing slightly less optimal protein versions. DeepMind acknowledges these challenges and aims to start a broader conversation about balancing safety with scientific freedom.<\/p>\n

Current biosecurity measures struggle to detect entirely new proteins designed by AI because they often differ significantly from known sequences. A recent study highlighted how AI can design bacteriophages capable of infecting bacteria, raising concerns about potential misuse. While existing databases flag suspicious DNA, AI tools can tweak sequences to evade detection or hide dangerous functions within safe-looking patterns. SynthID Bio offers a way to track these designs before they enter the physical world.<\/p>\n

DeepMind plans to release its code and data to help researchers implement this technology. They are currently testing the system on complex biological systems like bacteriophages in collaboration with Arc Institute and Stanford University. Other projects, such as FoldMark, also aim to embed digital signatures into protein structures. Despite progress, experts agree that no single solution is perfect, and questions remain about who should hold the keys to decode these watermarks.<\/p>\n

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Source:<\/strong> Singularity Hub • Shelly Fan • October 5, 2026<\/p>\n

Read the original article at Singularity Hub →<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

AI-rewritten: This is a summary of an article from Singularity Hub, rewritten by AI (Qwen, running locally) to make it easier to read. The facts come from the original article – read it for the full story. Singularity Hub • Shelly Fan • October 5, 2026 Google DeepMind has developed a new method called SynthID<\/p>\n

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