Elon Musk unveils Tesla Cybercab self-driving robotaxi
Billionaire says autonomous car expected ‘before 2027’ will have a pricetag of less than US$30,000, with a ‘Robovan’ that can carry 20 people to follow
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Fuseproject proposes "friendly" design for AI-enabled robot
Fuseproject has designed a body for a robotic system by a tech studio Kind Humanoid designed for various domestic and commercial environments.
The synthetic social network is coming
Between ChatGPT’s surprisingly human voice and Meta’s AI characters, our feeds may be about to change forever
State of AI outtakes #1: scaling in defense
The State of AI Report aims to provide a comprehensive overview of everything you need to know across AI research, industry, politics, and safety.
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'Better than real men': Young Chinese women turn to AI boyfriends
Users say they are driven by a desire for companionship because China's fast pace of life and urban isolation make loneliness an issue for many.
AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?
The effort to give robots AI brains is revealing big practical challenges—and bigger ethical concerns
a physical robot arm and a virtual robot. In the virtual setting, ProgPrompt came up with plans the robot could basically execute almost all the time, and these plans succeeded at a much higher rate than any previous training system. Meanwhile the real robot, given
RT-2: New model translates vision and language into action
Introducing Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control, while retaining web-scale capabilities. This work builds upon Robotic Transformer 1 (RT-1), a model trained on multi-task demonstrations which can learn combinations of tasks and objects seen in the robotic data. RT-2 shows improved generalisation capabilities and semantic and visual understanding, beyond the robotic data it was exposed to. This includes interpreting new commands and responding to user commands by performing rudimentary reasoning, such as reasoning about object categories or high-level descriptions.