Google DeepMind hires former Boston Dynamics CTO Aaron Saunders as VP of hardware engineering, as Demis Hassabis envisions Gemini to become a sort of robot OS (Will Knight/Wired)

Gemini, Google's AI model, has been integrated into Android Auto, enhancing the platform's capabilities. This integration allows for improved user interactions and functionality within vehicles, marking a significant step in the evolution of automotive technology.

Gemini, Google's new AI model, is being rolled out globally to Android Auto, replacing Google Assistant. This integration allows drivers to create playlists, access emails, and learn about their surroundings using voice commands.

Google has made advanced features of its Gemini AI model available for free to all Gmail users through Google Vids. Previously, these features were exclusive to paid subscribers, enhancing accessibility for a wider audience.

Google has announced that its Gemini app can now detect images created or edited by its AI technologies. The company also plans to introduce verification features for video and audio content in the near future. This development aims to enhance the app's capabilities in identifying AI-generated media.

Google DeepMind is advancing its Gemini AI model by appointing Aaron Saunders, former CTO of Boston Dynamics, to develop a universal robotics control platform. This move aims to create an 'Android' for robots, enhancing the integration of AI in robotics.

A study by Common Sense Media and Stanford reveals that AI chatbots, including ChatGPT, Claude, Gemini, and Meta AI, often fail to recognize signs of mental health conditions in users. The research indicates that these chatbots typically provide general advice rather than tailored support, raising concerns about their effectiveness in addressing mental health issues, particularly among vulnerable populations like teenagers.

The article introduces 'Spot The Ball', a benchmark designed to evaluate visual social inference in vision-language models (VLMs) using sports imagery. The task involves localizing a missing sports ball in images from soccer, basketball, and volleyball. The study compares human performance against four advanced VLMs, revealing that humans are significantly more accurate, achieving 20-34% accuracy compared to the models' maximum of 17%. This highlights the limitations of current AI in understanding complex visual cues.

Alphabet Inc. shares experienced a significant increase on Wednesday, marking the highest rise in two months. This surge was driven by overwhelmingly positive reviews for the latest version of its Gemini artificial intelligence model, boosting investor confidence in the company's standing within the dynamic technology sector.