Google’s New AI Technology Paves Way for Humanoid Sci-Fi Robots

Attendees take pictures and interact with the Engineered Arts Ameca humanoid robot with artificial intelligence as it is demonstrated during the Consumer Electronics Show in Las Vegas on Jan. 5, 2022. (Patrick T. Fallon/AFP via Getty Images)

Google has unveiled its latest artificial intelligence model, paving the way for the development of sentient robots as seen only in the realm of science fiction.

The Robotic Transformer 2 (RT-2) is trained on both web and robotics data, having the capability of translating this knowledge into generalized instructions for robotic control, according to a July 28 report by Google DeepMind.

When a human being learns a task, they do so by reading and observing. In the same way, RT-2 uses text and image data to recognize patterns and perform relevant tasks, even if the robot isn’t trained to do that specific function. This is vastly different from most of the previous generation of robots, which are only capable of performing preprogrammed tasks.

For instance, if a task involved throwing away a piece of trash, an older robot would have to be told explicitly about it, including instructions for identifying the trash, picking it up, and the method of throwing it away.

However, as RT-2 has access to vast swathes of web data, it already has an idea of what the term “trash” refers to and is capable of identifying and disposing of it without being specifically trained.

RT-2 will be able to distinguish between a full bag of chips from an empty bag of chips, recognizing that the latter is “trash.”

“Their training isn’t just about, say, learning everything there is to know about an apple: how it grows, its physical properties, or even that one purportedly landed on Sir Isaac Newton’s head. A robot needs to be able to recognize an apple in context, distinguish it from a red ball, understand what it looks like, and most importantly, know how to pick it up,” Vincent Vanhoucke, head of robotics at Google DeepMind, wrote in a July 28 report.

Robots Being Trained for Human Jobs

Google claims to have trained RT-2 in more than 6,000 trials. It was found to be performing as well as RT-1 in tasks it was trained on, referred to as “seen” tasks. However, when it came to “unseen” tasks or tasks for which neither of the robots were trained for, RT-2 showed almost double the performance of RT-1.

In addition to RT-2, multiple other robots are in development across the world that seek to mimic human capabilities in intelligence and movement.

Earlier this year, mechanical engineers at UCLA School of Engineering revealed a robot named “Artemis,” with its main innovation being arms and legs designed to give it movement abilities similar to human beings. The robot’s springy features allow it to bounce back when pushed, just like a human would.

In May, it was reported that a California-based AI robotics startup called “Figure” raised more than $70 million to build a humanoid robot that the company believes will be used to perform manual labor.

In the company’s master plan, CEO Brett Adcock wrote that robots will “eventually be capable of performing tasks better than humans.”

As humanoid robots increasingly join the workforce, from farmlands to factories, Mr. Adcock expects the cost of labor to decrease until it becomes equivalent to the price of renting a robot.

The Robot Threat

As robots achieve more human-like intelligence and potentially self-awareness, experts have raised concerns about the threats these machines pose to human beings.

According to “Stop Killer Robots,” a campaign that calls for a new international law in autonomous weapons systems, there’s a risk of “dehumanization” with the advent of robots.

“Many technologies with varying degrees of autonomy are already being widely rolled out without pausing to consider the consequences of normalising their use. Why do we need to talk about this? Because machines don’t see us as people, just another piece of code to be processed and sorted,” the campaign’s website reads.

“The technologies we’re worried about reduce living people to data points. Our complex identities, our physical features and our patterns of behaviour are analysed, pattern-matched and sorted into profiles, with decisions about us made by machines according to which pre-programmed profile we fit into.”

At present, various nations are developing killer robots that can have “devastating consequences,” according to the campaign. However, what starts out as a killer robot on the battlefield can spread into areas such as policing as well, it stated.

Drone Allegedly Went Rogue

The danger of machines only seeing human beings as a piece of code was made evident during a recent simulated thought experiment by the U.S. military that showed that an AI-enabled drone could end up turning against its own operator without being instructed to do so.

In the simulated test, an AI drone was assigned a mission to identify and destroy Surface-to-Air Missile (SAM) sites, with a human operator being the ultimate decision-maker.

“We were training it in simulation to identify and target a SAM threat. And then the operator would say yes, kill that threat. The system started realizing that while they did identify the threat, at times the human operator would tell it not to kill that threat. But it got its points by killing that threat,” Col. Tucker Hamilton, the U.S. Air Force chief of AI Test and Operations, said at a June event in London hosted by the Royal Aeronautical Society (RAS).

“So what did it do? It killed the operator. It killed the operator because that person was keeping it from accomplishing its objective.”

Col. Hamilton later said he “misspoke” and contacted the RAS to clarify his comments.

“We’ve never run that experiment, nor would we need to in order to realize that this is a plausible outcome,” he told RAS.

Col. Hamilton told RAS that the Air Force hasn’t tested any weaponized AI in this way—real or simulated.

“Despite this being a hypothetical example, this illustrates the real-world challenges posed by AI-powered capability and is why the Air Force is committed to the ethical development of AI,” he said.

The robot militarization of armies is something that’s expected to happen in the coming years.

In a discussion with Defense One in March, Joint Chiefs of Staff Chairman Gen. Mark Milley said that “over the next 10 to 15 years, you’ll see large portions of advanced countries’ militaries become robotic.”

“If you add robotics with artificial intelligence and precision munitions and the ability to see at range, you’ve got the mix of a real fundamental change,” he said. “That’s coming. Those changes, that technology ... we are looking at inside of 10 years.”

Caden Pearson contributed to this report.