Super Micro Shares Slide After Taiwan Raids Over Alleged Nvidia AI Chip Smuggling Probe 
Baidu Shares Rally as Kunlunxin Eyes $50 Billion Hong Kong IPO 
SoftBank Shares Slide as OpenAI IPO Delay Concerns Weigh on AI Investment Outlook 
EU Chip Industry Faces Growing Risks From China Export Controls and U.S. Technology Dependence: Report 
The government is ‘doubling down’ on its social media ban. But bigger penalties for platforms aren’t enough 
AI can be a personal trainer in your pocket – but is it safe? 
Switch Seeks $2 Billion Funding at Nearly $50 Billion Valuation Ahead of Potential IPO 
Super Micro Employees Detained in Taiwan AI Server Export Investigation 
South Korea Alleges Google Abused Android App Store Dominance, Eyes Major Fine 
Morgan Stanley Raises Tesla Q2 Delivery Forecast on Strong Europe and China Demand 
Samsung to Invest $90 Billion in South Korea to Expand AI Chip, Display, and Battery Production 
Apple Expands iPhone Lineup, Boosts Foldable iPhone Production Plans Through 2027 
Meta Stock Jumps as AI Cloud Expansion Challenges AWS, Microsoft, and Google 
Australia Sues Amazon Over Prime Video Ads and Subscription Terms 
Chip Stocks Rally as Samsung and SK Hynix’s $1.3 Trillion Investment Plan Boosts AI Optimism 
Open-Source AI Models Gain Ground as Enterprises Seek Lower-Cost Alternatives, Citi Says 
Microsoft Reportedly Plans New Job Cuts Across Sales, Consulting, and Xbox 
The DeepMind robotics team has announced three new developments that it claims will help robots make quicker, smarter, and safer judgments in the field.
One of these is a method for collecting training data with a "robot constitution" to ensure that your robot office helper can get you additional printer paper without mowing down a human coworker who happens to be in the path.
Google Developed 'Robot Constitution' To Ensure Future AI Droids Won’t Harm Mankind
AutoRT, Google's data collection system, can comprehend its environment, adapt to unexpected conditions, and decide on acceptable activities by combining a visual language model (VLM) with a large language model (LLM), as per The Verge.
The Robot Constitution, based on Isaac Asimov's "Three Laws of Robotics," is defined as a collection of "safety-focused prompts" advising the LLM to avoid jobs involving humans, animals, sharp items, or even electrical appliances.
DeepMind configured the robots to stop automatically if the force on their joints exceeds a particular level, and they have a physical kill switch that human operators may use to disable them. Google sent a fleet of 53 AutoRT robots into four separate office buildings over the course of seven months, doing over 77,000 trials.
Some robots were remotely directed by humans, while others worked from a script or entirely autonomously, utilizing Google's Robotic Transformer (RT-2) AI learning model. The experimental robots are more practical than spectacular, with merely a camera, robot arm, and mobile base.
"The system uses a VLM for each robot to understand its environment and the objects in view. Next, an LLM suggests a list of creative tasks that the robot could perform, such as 'Place the snack onto the countertop,' and acts as a decision-maker to choose an appropriate task for the robot to perform," Google explained in a blog post.
DeepMind Advances Robotic AI with SARA-RT Neural Network and RT-Trajectory for Physical Tasks
DeepMind's other new technology is SARA-RT, a neural network architecture meant to improve the accuracy and speed of the current robotic transformer RT-2. It also launched RT-Trajectory, which adds 2D outlines to assist robots in doing specific physical activities like wiping off a table.
We appear to be a long way from autonomous robots that serve beverages and fluff pillows, but when they arrive, they may have learned from a system like AutoRT.
Photo: Pawel Czerwinski/Unsplash
