Page 151 - Google Deepmind News Today

Researchers found the trick to having ChatGPT generate sensitive and private information. OpenAI has always always been a closed book when asked where its training data is scraped.

In an exclusive interview leading up to the 10th anniversary of Meta’s AI lab, LeCun reflects on the artificial intelligence boom as the tech giant introduces new tools for generating audio, researching video and detecting biases in language models.

A team of researchers from Google DeepMind and top universities successfully extracted personal data and verbatim text from ChatGPT, pulling back the curtain on what was used to train the model.

The DeepMind researchers it was possible to launch a “Prompt Injection Attack” to extract more training data by spending more money querying the model.

A group of researchers from Google DeepMind have cleverly tricked OpenAI's chatbot into revealing individuals' phone numbers and emails — a worrying sign that its training data contains large amounts of privately identifiable information that could unpredictably spill out. "It's wild to us that our attack works and should've, would've, could've been found earlier," the […]

The Entire Business World on a Single Page with the Web's Most Comprehensive One-Stop Finance News Hub.

Google DeepMind has used artificial intelligence (AI) to predict the structure of more than 2 million new materials, a breakthrough it said could soon be used to improve real-world technologies. In a research paper published in science journal Nature on Wednesday, the Alphabet-owned AI firm said almost 400,000 of its hypothetical material designs could soon be produced in lab conditions. The discovery and synthesis of new materials can be a costly and time-consuming process.

Google DeepMind has used artificial intelligence (AI) to predict the structure of more than 2 million new materials, a breakthrough it said could soon be used to improve real-world technologies. In a research paper published in science journal Nature on Wednesday, the Alphabet-owned AI firm said almost 400,000 of its hypothetical material designs could soon be produced in lab conditions. Potential applications for the research include the production of better-performing batteries, solar panels a...

Google DeepMind researchers say they’ve expanded the number of known stable materials by 10-fold. Some could be useful for everything from batteries to superconductors—if they make it out of the lab.

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