Researchers Suggests More Safety Measures Needed for Robots than AI Chatbots

Insider Brief PRESS RELEASE — China has launched its 15th Five-Year Plan by placing robotics at the heart of its modern industrial system. The aim is to pivot its AI research towards physical applications with robots as main drivers for economic growth. This is a next step in the country´s strong automation development: China´s manufacturing […]

Insider Brief AI research group Allen Institute for AI, or Ai2, announced it is releasing a new open-source robotics model and large training dataset aimed at improving how robots perform physical tasks in real-world environments. The updated system, called MolmoAct 2, is designed to help robots better understand spatial environments and respond to instructions while […]

The Elon Musk versus OpenAI trial intensified this week with two significant developments: the emergence of threatening pre-trial text messages from Musk, and testimony from a prominent AI safety expert called by Musk’s legal team. According to a court filing submitted by OpenAI’s lawyers, Musk contacted OpenAI president Greg Brockman two days before the trial […]

Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […] The post Physical AI raises governance questions for autonomous systems appeared first on AI News.

AI chatbots are the new norm. What earlier was “ask Google” has now largely become “ask Claude”. And that is not just a change of platforms. The new form of conversational guidance goes a whole lot deeper than trying to find the best car for you or looking for an upskilling course. It now spills […] The post How People are Figuring Out Life With Claude appeared first on Analytics Vidhya.

Plus, Meta’s largest data center to date goes up in Louisiana, robots will soon work out at a gym in Germany, and Uber makes a $1.25 billion deal with Rivian.

We are in a world where robots compete against humans and while perfect scores might be impressive, they are also dull It hurts to miss an unmarked shot in basketball. And it certainly seemed to pain the Alvark Tokyo shooter, halfway through April’s Japanese league game against Shimane Susanoo Magic. As the ball bounded off the rim, the player wheeled away, head lowered, eyes downcast. The disappointment looked glaringly real. Which is interesting, because it was not. The player could not have cared less. They literally could not care at all, and not just because this was a half-time exhibition. It was because they were a robot, created by Alvark Tokyo’s team sponsor, Toyota. Continue reading...

AI is getting faster. But slow-responding AI is perceived as better by users.  At least that’s the conclusion reached by new research presented at CHI’26, which is the Association for Computing Machinery’s Barcelona conference on Human Factors in Computing Systems.  Two researchers — Felicia Fang-Yi Tan and Professor Oded Nov at the NYU Tandon School of Engineering — tested 240 adults by having them use an AI chatbot. The answers were artificially delayed by two, nine, or 20 seconds. (The delay had nothing to do with the question or the answer.) Afterwards, the researchers asked how they liked the answers. In general, participants preferred the answers that took longer (although sometimes users got frustrated with the 20-second delay).  Why? Because a delay led the users to believe the AI was “thinking” or showing “deliberation” — invaluable input for AI companies and an interesting result. In almost every product category, faster usually means better. But for AI chatbots, it turns out