Rendering Video Gamers Obsolete

DeepMind’s AlphaStar AI can now beat almost any human player of StarCraft II, one of my favorite video games of all time, according to the MIT Technology Review.

Its programmers figured out that it wasn’t enough to enable AlphaStar to play zillions of simulated games in its silicon brain, using them to teach itself how to win through a process called reinforcement learning. So, they equipped it to trigger mistakes or flaws in its competitors games so it could learn how to exploit their weaknesses.

AlphaStar doesn’t just know how to win StarCraft, it knows how to make its competitors lose.

Who knew that one of the first jobs obviated by AI would be video gamers, who are perhaps the ultimate digital natives?

Further, its turns out that reading imperfections in others is a very useful aspect of being intelligent, generally, as it also applies to assessing the variables and risks of things and situations. The algorithms could be applied to autonomous driving or the behavioral triggers for self-actuated robots, according to the MIT Review story.

But that also means they could apply to reading the weaknesses in people when it comes to making decisions to buy toothpaste or, more ominously, political choices. Imagine telling AlphaStar’s evil twin to go forth into the chat warrens of the social mediaverse and convince people that climate change isn’t real, or that a race war is.

I’m just bummed because StarCraft was so much fun to play, in large part because it kinda played itself every time you made a choice to collect a resource, build something, or go on the offensive.

I wasn’t prepared for it to figure out how to play us.

The Materialist Case For AI

The belief that development of a sentient or self-aware AI is simply a matter of enough data, connections, and processing speed is based on the premise that human consciousness is the product of material objects and processes, too.

Francis Crick, the less overtly racist half of the duo who discovered DNA’s double helix, published a book in 1994 called The Astonishing Hypothesis that proposed that consciousness, or a “soul,” results from the actions of physical cells, molecules, and atoms.

It’s a reasonable proposition, since we can only measure the material world, so everything must be a product of it. Bodies obey the same physical laws as rocks and weather patterns. If something defies explanation, it’s only because we don’t have enough information yet.

Just as a mind is the product of a brain, AI is the outcome of a computer. Any nagging questions are just details, Mr. Descartes, not a debate.

Only they’re not.

We can’t explain consciousness as a product of material processes. We can describe it, and make assumptions about whether it’s the result of vibrations from the brainstem (thalamocortical rhythms), the instructions from a prehistoric virus (Arc RNA), or only a “user illusion” of itself (Dan Dennett’s molecular machines).

But we can’t say what it is, or what those enabling processes are, exactly. How is there a you or me to which we return every morning? Nobody has a clue.

Similarly, we can describe that our brains control everything from muscle movement to immune system health, and both where and when they capture sensory information.

But we haven’t got the faintest idea how our minds do it…how that ephemeral thing called consciousness issues commands to flex muscles, secrete hormones, or remember a favorite song.

It gets even weirder when you consider the vagaries of quantum physics, which rely on consciousness as the mechanism for pulling elementary particles out of a hazy state of probable existence into reality. Consciousness literally creates the material world through the act of perception or, maybe more strangely, it emerges from the universe in the act of creating it?

Fortunately, we don’t need to solve that problem in order to invent incredibly capable AI that can autonomously learn and make increasingly complex decisions. Chips in coffee makers are “smart,” technically, and AI that can mimic human behaviors is already in use in online service chatbots. There’s no obvious limit to such material functions.

But I don’t think a machine is going to stumble on actual consciousness, or sentient agency of action, before we figure it out for ourselves.

We are nowhere near cracking that code.