Google Is Testing Its Latest AI-Powered Robot In a Kitchen

Google’s Pathways Language Model (PaLM) is a relatively new 540-billion parameter network built to complete a variety of complex language-based tasks. It’s said to be intelligent enough to describe how it solved a math problem and annoy you by explaining your own jokes. Rather than focusing on one area of “expertise” and starting fresh every time it learns a new skill, PaLM can “stack” previously-learned knowledge to devise solutions to novel problems, similar to how humans assess new situations. This is important if a robot is meant to help humans in their jobs or day-to-day personal lives.

It just so happens that Google’s parent company, Alphabet, has been working on a new robotics firm called Everyday Robots. As its name suggests, the firm’s goal is to build robots that learn on their own and take care of “time-consuming, everyday tasks.” Combined with PaLM, Everyday Robots’ SayCan robot becomes the PaLM-SayCan, a bot capable of assessing its own capabilities, its environment, and the task at hand, then breaking that task into smaller sub-tasks to achieve the desired goal.

While most robots are tested within the confines of a lab, the whole point of PaLM-SayCan is to assist with diverse and often unplanned problems and tasks. This inspired the Google and Everyday Robots teams to take PaLM-SayCan into an office kitchen instead. Here, PaLM-SayCan can be asked to fetch a bag of chips from a drawer, pick between Coke and Pepsi, and even help humans tackle the problem of a spilled beverage.

Upon hearing “I spilled my Coke, can you bring me something to clean it up?” PaLM-SayCan planned and executed the steps necessary to find a sponge, pick it up, and bring the sponge to the person who’d spilled the drink, according to a post on GitHub. A slight alteration to the robot’s instructions successfully changed the outcome: “I spilled my Coke, can you bring me a replacement?” prompted PaLM-SayCan to locate a Coke can and bring it over. Similarly successful outcomes occurred when humans told PaLM-SayCan they’d just completed a workout and wanted a drink and a snack to recover, or that they wanted the robot to clean up some left-behind items on the kitchen counter. PaLM-SayCan could even solve these problems when they were presented in Spanish, French, and Chinese.

What’s both impressive and terrifying about the PaLM-SayCan combination is that once one robot learns a skill, other PaLM-equipped robots can forgo the learning process by having the skill quickly transferred to themselves. That being said, this process appears to require human intervention, so it’s unlikely that a fleet of PaLM-SayCan bots will learn and spread how to take over the world anytime soon.

Continue reading

Amazon’s Satellite Internet Antenna Pulls 400Mbps During Testing

Amazon's upcoming Project Kuiper service will be similar to Starlink, but the company claims its prototype Ka phased-array antenna will give it the edge.

Microsoft Now Testing Dual-Screen Gaming in Xbox Game Pass on Surface Duo

Dual screen support has arrived in the latest Xbox Game Pass beta. Only a handful of devices can use the mode today, but it could meaningfully improve gaming on dual screen hardware.

Microsoft Kicks Unsupported PCs From Windows 11 Testing Program

As the October launch date for Windows 11 grows closer, Microsoft is standing firm on the new software's spec requirements. In fact, anyone running the beta on unacceptable hardware is being booted from the program, and their only option is to accept defeat and reinstall Windows 10.

NASA’s Ingenuity Helicopter Is Now Testing the Laws of Physics on Mars

Pull out your red-and-blue 3D glasses: Ingenuity's latest flight, at its lowest altitude ever, has returned a three-dimensional tableau of the Martian landscape, including one big rock.