I am no fan of Henry Kissinger. One cannot be, after reading ‘The Blood Telegram’. But, his comments on Artificial Intelligence were very thoughtful. They were written in ‘The Atlantic’ three months ago. I do not know why I never got around to posting the extracts from that article here, although I had saved the extracts for posting as soon I had finished reading that piece. Today, when I read the well-written review of Yuval Harari’s latest book by Manu Joseph in MINT, I resolved to post it here today:
Inundated via social media with the opinions of multitudes, users are diverted from introspection; in truth many technophiles use the internet to avoid the solitude they dread. All of these pressures weaken the fortitude required to develop and sustain convictions that can be implemented only by traveling a lonely road, which is the essence of creativity. ….
…………. Before AI began to play Go, the game had varied, layered purposes: A player sought not only to win, but also to learn new strategies potentially applicable to other of life’s dimensions. For its part, by contrast, AI knows only one purpose: to win. It “learns” not conceptually but mathematically, by marginal adjustments to its algorithms. So in learning to win Go by playing it differently than humans do, AI has changed both the game’s nature and its impact. Does this single-minded insistence on prevailing characterize all AI?…
……. Through all human history, civilizations have created ways to explain the world around them—in the Middle Ages, religion; in the Enlightenment, reason; in the 19th century, history; in the 20th century, ideology. The most difficult yet important question about the world into which we are headed is this: What will become of human consciousness if its own explanatory power is surpassed by AI, and societies are no longer able to interpret the world they inhabit in terms that are meaningful to them?
………… Ultimately, the term artificial intelligence may be a misnomer. To be sure, these machines can solve complex, seemingly abstract problems that had previously yielded only to human cognition. But what they do uniquely is not thinking as heretofore conceived and experienced. Rather, it is unprecedented memorization and computation. Because of its inherent superiority in these fields, AI is likely to win any game assigned to it. But for our purposes as humans, the games are not only about winning; they are about thinking. By treating a mathematical process as if it were a thought process, and either trying to mimic that process ourselves or merely accepting the results, we are in danger of losing the capacity that has been the essence of human cognition….
….. the scientific world is impelled to explore the technical possibilities of its achievements, and the technological world is preoccupied with commercial vistas of fabulous scale. The incentive of both these worlds is to push the limits of discoveries rather than to comprehend them. [Link]
So, what did Manu Joseph write about Artificial Intelligence that triggered this post?
To draw our attention to the impending darkness, Harari mentions a chess contest that was held in December last year. One of the contenders was known to chess players around the world. Stockfish, believed to be the world’s most powerful chess engine, is a computer program that has been designed to analyse chess moves. No human has a chance to beat it. Stockfish played AlphaZero, Google’s machine-learning program. The two programs played a hundred games.
AlphaZero won 28, drew 72 and lost none. The programmers of AlphaZero had not taught it chess; it learned on its own—in 4 hours.
Google’s claim of “4 hours” is actually a bit dramatic and opaque.
Also, AlphaZero has been training through such powerful devices that we should not try to comprehend “4 hours” in human terms. Harari, despite being a historian, is not concerned with the nuances of it all. He wants us to be scared. All things considered, it still is extraordinary that AlphaZero could teach itself chess and become the best chess player in the universe known to us. Harari uses such events to point to the future when machines will do almost all human tasks.
It is fitting (in many ways) to end this post with a link to the article by Nicolas Carr published in 2008 on whether Google was making us stupid. Now, we know the answer or do we?