GoKawiil
Tech News
Google DeepMind has released WeatherNext 3, an upgrade to its AI weather model that generates hourly forecasts on a 5-kilometer grid, five times finer than its predecessor. The improvement comes from feeding the model live satellite imagery and sparse weather station readings instead of relying mainly on lagging numerical prediction data.
Google DeepMind has released WeatherNext 3, a new AI-driven global weather model that the company says improves precipitation forecast accuracy by up to 50% for predictions made a day or more ahead. The system is positioned as an upgrade over prior AI weather tools and traditional forecasting methods.
Google DeepMind and Google Research launched WeatherNext 3, a deep-learning forecasting model that outperformed rival AI systems from Microsoft, Nvidia and ECMWF, as well as traditional forecasts from the US National Weather Service and ECMWF, on the Operational WeatherBench benchmark. Google says the model will soon power weather data shown in Search, Maps and Gemini, and will also be offered to researchers and developers through its cloud platform.
Google unveiled Gemini 3.8 Flash, its third Flash-tier model release in six weeks, alongside a new cybersecurity model for government and enterprise clients. The launch coincided with a federal judge rejecting the Justice Department's demand that Google divest its ad exchange, and with Berkshire Hathaway's Greg Abel publicly praising Alphabet's AI standing.
Google is reportedly preparing to launch Gemini 3.8 Flash imminently, a model DeepMind's internal testing found outperforms Anthropic's Opus on coding tasks. The release would follow Gemini 3.7 Flash, launched just weeks earlier, and comes as Google shelves plans for a separate Gemini 3.5 Pro model, pushing the next Pro-tier release to Gemini 4.0.
Google has moved its AI-responsibility team out of the DeepMind research division as part of an internal reorganization. Researchers within the team have voiced concerns that the shift could compromise their independence and reduce their ability to identify risks in Google's newest AI models.
Robotics startup Generalist has raised nearly $200 million more in an extension of its Series B round led by 8VC, pushing its valuation to $3 billion and total round funding to $600 million. The company, founded in 2024 by ex-Google DeepMind and Boston Dynamics engineers, builds AI foundation models meant to control multiple types of robots, with its Gen 1.5 model reportedly learning new tasks from short video clips.