Google DeepMind has launched a analysis preview of SIMA 2, the up to date model of its synthetic common intelligence (AGI) agent.
This new mannequin combines Gemini’s language and reasoning skills with the talents wanted to function inside digital environments.
The primary SIMA system relied on lengthy recordings of individuals taking part in a wide array of 3D video games. Via this coaching, the mannequin realized the best way to handle varied duties throughout many various sport worlds, together with some it had by no means practiced with.
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SIMA 2 makes use of the Gemini 2.5 flash-lite mannequin. DeepMind makes use of the time period AGI to explain techniques that may deal with many forms of considering duties, be taught new skills, and apply data throughout completely different conditions.
DeepMind’s researchers concentrate on “embodied brokers”, which suggests the system has a digital physique. It could possibly observe its setting and take actions in it, a lot as an individual or robotic would.
Throughout a press briefing, DeepMind senior analysis scientist Joe Marino shared how a lot the mannequin has improved. Joe Marino, senior analysis scientist at DeepMind, mentioned:
SIMA 2 is a step change and enchancment in capabilities over SIMA 1.
One other DeepMind researcher, Jane Wang, famous that SIMA 2 shouldn’t be solely about taking part in video games. She defined that the agent should perceive what is occurring round it, make sense of the person’s request, and reply with primary reasoning.
Google just lately introduced its Gemini AI assistant to Maps in India, together with new instruments centered on highway security and route updates. What did Miriam Daniel, Head of Google Maps, say? Learn the complete story.
