# Google SynthID 水印难以破解，但无法解决 AI 虚假信息问题

- 来源：Ars Technica：AI（RSS）
- 作者：Ryan Whitwam
- 发布时间：2026-07-29 19:00
- AIHOT 分数：53
- AIHOT 链接：https://aihot.virxact.com/items/cms6040vb137lrobkth3u1ich
- 原文链接：https://arstechnica.com/ai/2026/07/tested-google-synthid-works-great-but-labeling-ai-content-may-be-a-losing-game

## AI 摘要

斯坦福大学与南加州大学合作的 Starling Lab 估计，人类在相机发明后 149 年才创造出 15 亿张图像，而生成式 AI 仅用 18 个月就达到相同规模。Google 在 I/O 大会上宣布其工具在短短几年内已生成超 1000 亿张 AI 图像和视频，并扩大 SynthID 水印技术的合作伙伴关系以标记 AI 内容。但水印技术本身无法从根本上解决 AI 虚假信息问题。

## 正文

The scale of AI-generated media can be hard to grasp.

Starling Lab, a research collaboration from Stanford University and the University of Southern California, estimates that it took until 1975—149 years after the invention of the camera—for humanity to create 1.5 billion images. It took generative AI just 18 months to do the same. And AI didn't stop there.

This spring, Google announced at I/O that its tools had been used to create more than 100 billion AI images and videos in just a couple of years, and Google is far from the only source of AI content. The company coupled this staggering statistic with a slew of partnerships to expand the use of its SynthID watermarking technology, which can be used to label AI-generated content and potentially help people identify what's real.