“A long distance to go”: DeepMind’s AI verified Signal encryption code in four weeks, but only for one-to-one chats, not Signal’s apps.
One in five people have experienced this frightening state – and the Harvard neuroscientist Baland Jalal has dedicated his career to studying it. Could it be a portal to a deeper understanding of the mind?
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The four-week project hints that AI could make formal verification far more practical.
The new model is up to twice as successful at some tasks.
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With Gemini Robotics 2.5, robots can “perform significantly more tasks with greater performance and dexterity,” according to Carolina Parada, DeepMind’s head of robotics. The model lets robots combine a “number” of skills, including “advanced tool use, complex manipulation of deformables, and handling delicate objects with finesse,” Parada says. [Link: Gemini Robotics 2.5: Accelerating Physical Intelligence | https://deepmind.google/blog/gemini-robotics-2-5-accelerates-real-world-physical-intelligence/ | Google DeepMind]
‘Understanding and simulating the world is a crucial aspect of building AGI,’ says Google DeepMind as it previews its Genie 4 world model.
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Genie 4 will roll out to developers and Google AI Ultra subscribers soon.