Top 20 AI News Highlights Every Investor Needs to Know

Published On Sat Oct 26 2024
Top 20 AI News Highlights Every Investor Needs to Know

20 AI News Investors Should Not Miss - Insider Monkey

Alphabet Inc. (NASDAQ:GOOG) is the company behind Google. Google offers a vast array of sophisticated artificial intelligence products, solutions, and applications on a trusted cloud platform, enabling businesses to build and implement AI algorithms and models. Its AI product lineup features consumer-focused solutions like Google One AI Premium and Gemini, alongside developer tools such as Gemini models.

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Google DeepMind Develops New AI Text Watermarking Tool

On October 23, Alphabet Inc. (NASDAQ:GOOG)'s Google reported that Google DeepMind has developed a tool for identifying AI-generated text and that it is making it available open source. SynthID, the new tool, is a member of a larger family of watermarking tools for generative AI outputs. Watermarks are an important way of letting people determine whether something is AI-generated, allowing people to counter harms such as misinformation.

The new tool can be downloaded from the AI platform Hugging Face, or Google’s updated Responsible GenAI Toolkit.

According to Google, SynthID Text will not compromise the quality, speed, or accuracy of text generation. It will even work on text that has been cropped, modified, or paraphrased. However, the company also reports that it has some limitations. For instance, SynthID Text doesn’t perform well on short text, responses to factual questions, or text that has been rewritten or translated from another language.

Google DeepMind has launched a watermarking tool for AI-generated ...

Quote from Google DeepMind's Vice President of Research

“We’re open-sourcing our SynthID Text watermarking tool. Available freely to developers and businesses, it will help them identify their AI-generated content.” - Google wrote in a post on X.

Pushmeet Kohli, the vice president of research at Google DeepMind, stated, “Now, other [generative] AI developers will be able to use this technology to help them detect whether text outputs have come from their own [large language models], making it easier for more developers to build AI responsibly”.

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