David Chalmers is a philosopher of mind, best known for his argument about the difficulty of what he termed the “hard problem” of consciousness, which he typically discusses by way of a thought experiment featuring zombies who act and talk exactly like humans, and yet have no conscious thought (I explained clearly what I think of that sort of thing in my essay on “The Zombification of Philosophy”).
Yesterday I had the pleasure of seeing Chalmers in action live at the Graduate Center of the City University of New York. He didn’t talk about zombies, telling us instead his thoughts about the so-called Singularity, the alleged moment when artificial intelligence will surpass human intelligence, resulting in either all hell breaking loose or the next glorious stage in human evolution — depending on whether you typically see the glass as half empty or half full. The talk made clear to me what Chalmers’ problem is (other than his really bad hair cut): he reads too much science fiction, and is apparently unable to snap out of the necessary suspension of disbelief when he comes back to the real world. Let me explain.
Chalmers’ (and other advocates of the possibility of a Singularity) argument starts off with the simple observation that machines have gained computing power at an extraordinary rate over the past several years, a trend that one can extrapolate to a near future explosion of intelligence. Too bad that, as any student of statistics 101 ought to know, extrapolation is a really bad way of making predictions, unless one can be reasonably assured of understanding the underlying causal phenomena (which we don’t, in the case of intelligence). (I asked a question along these lines to Chalmers in the Q&A and he denied having used the word extrapolation at all; I checked with several colleagues over wine and cheese, and they all confirmed that he did — several times.)
Be that as it may, Chalmers went on to present his main argument for the Singularity, which goes something like this:
- There will soon be AI (i.e., Artificial Intelligence)
- There will then soon be a transition from AI to AI+
- There will then soon be a transition from AI+ to AI++
Therefore, there will be AI++
All three premises and the conclusion where followed by a parenthetical statement to the effect that each holds only “absent defeaters,” i.e., absent anything that may get in the way of any of the above.
Chalmers was obviously very proud of his argument, but I got the sense that few people were impressed, and I certainly wasn’t. First off, he consistently refused to define what AI++, AI+, or even, for that matter, AI, actually mean. This, in a philosophy talk, is a pretty grave sin, because philosophical analysis doesn’t get off the ground unless we are reasonably clear on what it is that we are talking about. Indeed, much of philosophical analysis aims at clarifying concepts and their relations. You would have been hard pressed (and increasingly frustrated) in finding any philosophical analysis whatsoever in Chalmers’ talk.
Second, Chalmers did not provide a single reason for any of his moves, simply stating each premise and adding that if AI is possible, then there is no reason to believe that AI+ (whatever that is) is not also possible, indeed likely, and so on. But, my friend, if you are making a novel claim, the burden of proof is on you to argue that there are positive reasons to think that what you are suggesting may be true, not on the rest of us to prove that it is not. Shifting the burden of proof is the oldest trick in the rhetorical toolbox, and not one that a self-respecting philosopher should deploy in front of his peers (or anywhere else, for that matter).





















On ai
"likely for the very good reason that human intelligence is not algorithmic, at least not in the same sense in which computer programs are... "
I'm not entirely sure what you mean by that. But I will say that the operation of the brain is guided by the rules contained in a digital system, the DNA. There exist rules governing the extent of connections, the formation of circuits, and the strengthening|weakening of said connections. It all seems like something that could be implemented in a computer.
"...should make it pretty clear that the problem is not computing power or speed."
I wouldn't be so sure of that, computing power is not the only problem but it is very likely part of the problem. Right now, based on the estimates I've heard, the required memory|power is only being approached on supercomputers(which not all researchers have access to). Memory and Computation seem tightly coupled in the brain providing access to what would seem to be massive amounts of stored content in real-time.