Should We Actually Use Huge Japanese Robots in Warfare?

OK, so I know the headline to this post isn’t really the sort a stable and serious scientist, or even a futurist, should be asking. But I was asked this question in Quora, and thought it warranted some thought. So here’s my answer to this mystery that had hounded movie directors for the last century or so!

If Japan actually managed to create the huge robots / exoskeletons so favored in the anime genre, all the generals in all the opposing armies would stand up and clap wildly for them. Because these robots are practically the worst war-machines ever. And believe it or not, I know that because we conducted an actual research into this area, together with Dr. Aharon Hauptman and Dr. Liran Antebi,

But before I tell you about that research, let me say a few words about the woes of huge humanoid robots.

First, there are already some highly sophisticated exoskeleton suits developed by major military contractors like Raytheon’s XOS2 and Lockheed Martin’s HULC. While they’re definitely the coolest thing since sliced bread and frosted donuts, they have one huge disadvantage: they need plenty of energy to work. As long as you can connect them to a powerline, it shouldn’t be too much of an issue. But once you ask them to go out to the battlefield… well, after one hour at most they’ll stop working, and quite likely trap the human operating them.

Some companies, like Boston Dynamics, have tried to overcome the energy challenge by adding a diesel engine to their robots. Which is great, except for the fact that it’s still pretty cumbersome, and extremely noisy. Not much use for robots that are supposed to accompany marines on stealth missions.

Robots: Left – Raytheon’s XOS2 exoskeleton suit; Upper right – Lockheed Martin’s HULC; Bottom right – Boston Dynamics’ Alpha Dog.

 

But who wants stealthy robots, anyway? We’re talking about gargantuan robots, right?!

Well, here’s the thing: the larger and heavier the robot is, the more energy you need to operate it. That means you can’t really add much armor to it. And the larger you make it, the more unwieldy it becomes. There’s a reason elephants are so sturdy, with thick legs – that’s the only way they can support their enormous body weight. Huge robots, which are much heavier than elephants, can’t even have legs with joints. When the MK. II Mech was exposed at Maker Faire 2015, it reached a height of 15 feet, weighed around 6 tons… and could only move by crawling on a caterpillar track. So, in short, it was a tank.

And don’t even think about it rising to the air. Seriously. Just don’t.

Megabots’ MK. II Mech, complete with the quiessential sexy pilot.

But let’s say you manage to somehow bypass all of those pesky energy constraints. Even in that case, huge humanoid robots would not be a good idea because of two main reasons: shape, and size.

Let’s start with shape. The human body had evolved the way it is – limbs, groin, hair and all – to cope with the hardships of life on the one hand, while also being able to have sex, give birth and generally doing fun stuff. But robots aren’t supposed to be doing fun stuff. Unless, that is, you want to build a huge Japanese humanoid sex robot. And yes, I know that sounds perfectly logical for some horribly unfathomable reason, but that’s not what the question is about.

So – if you want a battle-robot, you just don’t need things like legs, a groin, or even a head with a vulnerable computer-brain. You don’t need a huge multifunctional battle-robot. Instead, you want small and efficient robots that are uniquely suited to the task set for them. If you want to drop bombs, use a bomber drone. If you want to kill someone, use a simple robot with a gun. Heck, it can look like a child’s toy, or like a ball, but what does it matter? It just needs to get the job done!

You don’t need a gargantuan Japanese robot for battle. You can even use robots as small as General Robotics’ Dogo: basically a small tank the size of your foot, that carries a glock pistol and can use it efficiently.

Last but not least, large humanoid robots are not only inefficient, cumbersome and impractical, but are also extremely vulnerable to being hit. One solid hit to the head will take them out. Or to a leg. Or the torso. Or the groin of that gargantuan Japanese sex-bot that’s still wondering why it was sent to a battlefield where real tanks are doing all the work. That’s why armies around the world are trying to figure out how to use swarms of drones instead of deploying one large robot: if one drone takes the hit, the rest of the swarm still survives.

So now that I’ve thrown cold ice water on the idea of large Japanese humanoid robots, here’s the final rub. A few years ago I was part of a research along with Dr. Aharon Hauptman and Dr. Liran Antebi, that was meant to assess the capabilities that robots will possess in the next twenty years. I’ll cut straight to the chase: the experts we interviewed and surveyed believed that in twenty years or less we’ll have –

  • Robots with perfect camouflage capabilities in visible light (essentially invisibility);
  • Robots that can heal themselves, or use objects from the environment as replacement parts;
  • Biological robots.

One of the only categories about which the experts were skeptical was that of “transforming platforms” – i.e. robots that can change shape to adapt themselves to different tasks. There is just no need for these highly-versatile (and expensive, inefficient and vulnerable) robots, when you can send ten other highly-specialized robots to perform each task at a turn. Large humanoid robots are the same. There’s just no need for them in warfare.

So, to sum things up: if Japan were to construct anime-style Gundam-like robots and send them to war, I really hope they prepare them for having sex, because they would be screwed over pretty horribly.

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Do You Want to Keep Your Job? Then You Have to be Nice

The Uber driver was being exceptionally nice to me this morning.

“Nice to meet you, sir!” He greeted me cheerily. “I see you want to get to the university. Please, come on in! Can I offer you a bottle of mineral water? Or maybe some pretzels?”

“Thanks.” I said. I looked at the ceiling. No hidden cameras there. “You’re very nice. Very, very nice.”

“Yes, I know.” His face shone in understanding. “But it pays big time. I get good grades from the customers, so Uber’s algorithm is providing me with even more passengers all the time. It just pays to be nice.”

“Oh, so you’re just like those lawyers, physicians and accountants?”

“I don’t know.” He said. “Am I?”

“Absolutely.” I said. “Or rather, soon they’re going to be a lot like you: just plain nice. The thing is, the knowledge industries – and by that I mean professions which require that human beings go over data and develop insights – are undergoing automation. That means artificial intelligence is going to perform a major part of the work in those professions, and then the human workers – the successful ones, at least – will become nice and more polite to their customers.”

“Take Uber for example.” I gestured at the smartphone at the dashboard. “Taxi drivers partly deal with knowledge generation: they receive information from the passenger about the desired destination, and they have to come up with the knowledge of how to get there, based on their memory of the roads. In the past, a mere decade ago, taxi drivers needed to know the streets of the city like the back of their hand.”

“But today we have GPS.” Said my driver.

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“Exactly.” I said. “Today, modern taxi drivers rely on a virtual assistant. It’s not just a GPS that tells you where you are. More advanced apps like Waze and Google Maps also show you how best to reach your destination, with vocal instructions at each step of the way. These virtual assistants allow anyone to be a taxi driver. Even if you never drove in a certain city in the past, you can still do a satisfactory job. In effect, the AI has equalized the playing ground in the field of taxi driving, since it lowered to a minimum the needed skill level. So how can a cabby still distinguish himself and gain an advantage over other drivers?”

“He has to be nice.” Smiled the guy at the wheel. I wondered to myself if he ever stops smiling.

“That’s what we see today.” I agreed. “The passengers are rating every driver according to the experience they had in his cab, since that is the main criteria left when all the others are equal. And Uber is helping the process of selecting for niceness, since they stop working with drivers who aren’t nice enough.”

“But what does it have to do with lawyers, accountants and physicians?” Asked the driver.

“We’re beginning to see a similar process in other knowledge-based professions.” I explained. “For example, just last week a new AI engine made the news: it’s starting to work in a big law firm, as a consultant to lawyers. And no wonder: this AI can read and understand plain English. When asked legal questions, the AI conducts research by going over hundreds of thousands of legal papers and precedents in seconds, and produces a final answers report with detailed explanations about how it has reached each answer. It even learns from experience, so that the more you work with it – the better it becomes.”

“So we won’t even need lawyers in the future?” Finally, the guy’s smile became genuine.

“Well, we may reach that point in the end, but it’ll take quite some time for us to get there.” I said. “And until that time, we’ll see AI engines that will provide free legal consultation online. This kind of a free consultation will suffice for some simple cases, but in the more sophisticated cases people will still want a living lawyer in the flesh, who’ll explain to them how they should act and will represent them in court. But how will people select their lawyers out of the nearly-infinite number of law school graduates out there?”

“According to their skill level.” Suggested the driver.’

“Well, that’s the thing. Everyone’s skills will be near equal. It won’t even matter if the lawyers have a big firm behind them. The size of the firm used to matter because it meant the top lawyers could employ tens of interns to browse through precedents for them. But pretty soon, AI will be able to do that as well. So when all lawyers – or at least most – are equal in skills and performance, the most employed lawyers will be the nice ones. They will be those who treat the customer in the best way possible: they will greet their clients with a smile, offer them a cup of tea when they set for in the office, and will have great conversational skills with which to explain to the client what’s going on in court.”

“And the same will happen with accountants and physicians?” He asked.

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“It’s happening right now.” I said. “The work of accountants is becoming easier than ever before because of automation, and so accountants must be nicer than ever before. Soon, we’ll see the same phenomenon in the medical professions as well. When AI can equalize the knowledge level of most physicians, they will be selected according to the way they treat their patients. The patients will flock to the nicer physicians. In fact, the professionals treating the patients won’t even have to have a deep understanding in the field of medicine, just as today’s cabbies don’t need to fully remember the roads in the city. Instead, the medical professionals will have to understand people. They will need to relate to their patients, to figure them out, to find out what’s really bothering them, and to consult with the AI in order to come up with the insights they need in order to solve the patients’ issues.”

“So we gotta keep the niceness on.” Summarized my driver, as he parked the car in front of the entrance to the mall. “And provide the best customer service possible.”

“That’s my best advice right now about work in the future.” I agreed. I opened the door and started getting out of the car, and then hesitated. I turned on my smartphone. “I’m giving you five stars for the ride. Can you give me five too?”

His gaze lingered on me for a long time.

“Sorry.” He finally said. “You talk too much, and really – that’s not very nice.”