There’s always something to howl about.

The Luddite’s lament at The New Yorker: Why won’t the world just hold still?!

The other day Cathy asked me what a semi-conductor is. It takes courage to ask me an open-ended question, because you risk getting the full answer. We started with integrated circuits, which is what most people mean when that say “semi-conductor,” then got into the conductive properties of metals and minerals, slid from there to quantum physics and electron tunneling, jumping to the idea of electronic gates, which leads back to Boolean algebra, all of which briefly encapsulates the idea of contemporary computer science.

But: The role of semi-conductors in all this is relatively recent, so we talked about Pascal’s automated looms, Babbage’s Analytical Engine, Ada Lovelace’s invention of software engineering, Turing’s Enigma and the idea of the Turing machine — which, despite all the hype you read, is the underlying engineering for the computer in front of you right now, scaled up a bazillion times.

The Turing machine was mechanical. The role of semi-conductors in data processing came even later than that. So: We talked about integrated circuits, about Moore’s Law and most importantly about the information explosion, the practical corollary of Moore’s Law. We continued with the idea of the Semantic Web, the notion that, very soon, instead of you trying to find the data you want, the data you want will avidly be trying to find you.

There’s more: We talked about multi-core computer processors and their implications, particularly about their application in compute-intensive functions. As a matter of physics, there is a finite limit to Moore’s Law. Heat is a significant problem right now, but even postulating computers running immersed in liquid nitrogen, data moves at the speed of light. At some point, no matter how close together chip-makers manage to plant circuits, propagation delay will limit further speed increases.

But this is where massively-parallel multi-core processors come into their own. Imagine not two cores, or four, or eight — the most you can buy in a computer store right now. Imagine 64 cores, or 256, or 1,024 microprocessors running side-by-side, splitting jobs up into 1,024 separate tasks and performing all of them simultaneously.

There’s even more at the outer edges of theory, but it doesn’t matter. We are on the verge of any number of singularities — points beyond which cogent prediction is impossible — but the one we are certain to encounter is the singularity we are racing toward in data-processing.

We are awash in a deluge of information — and we are rapidly acquiring the capacity to apprehend it all. Not “we” as a species. “We” as individuals. There will be a time in the not very distant future when each one of us will own enough “personal” computing power to acquire, synthesize and act upon any body of information we might want to comprehend.

This is for real. This is not flying cars or perpetual motion machines. Computers may never catch up with our ability to find new uses for them, but all of the embodied information of the past — say, the world before 1995 — will not even be a snack to the computer you will own in a few years.

I cite all that to get to this quote from a very long article in The New Yorker:

Sit in your local coffee shop, and your laptop can tell you a lot. If you want deeper, more local knowledge, you will have to take the narrower path that leads between the lions and up the stairs. There—as in great libraries around the world—you’ll use all the new sources, the library’s and those it buys from others, all the time. You’ll check musicians’ names and dates at Grove Music Online, read Marlowe’s “Doctor Faustus” on Early English Books Online, or decipher Civil War documents on Valley of the Shadow. But these streams of data, rich as they are, will illuminate, rather than eliminate, books and prints and manuscripts that only the library can put in front of you. The narrow path still leads, as it must, to crowded public rooms where the sunlight gleams on varnished tables, and knowledge is embodied in millions of dusty, crumbling, smelly, irreplaceable documents and books.

At first face, this is just plain ignorance. There are many things you cannot find on your laptop right now, but there are millions more you can’t find anywhere else. It is the triumphalist cry of form over substance, an obvious error. It is Ludditism, of course, the kind we have come to expect from the printed media. It is the kind of effete snobbery we expect from The New Yorker, the logical fallacy known as No True Scotsman: No true intellectual does research except from within a cloud of dust mites and mold spores. And it is a treacly romanticism, a reiteration of the sappy assertion that has driven the idea of literature in The New Yorker (and literature emanating from New York) since the Roaring Twenties: My adolescence is the only adolescence. It is all of these things and more.

But what it is, mostly, is uninformed.

Everything the author hates and fears is almost here. Not in fifty years but perhaps in as few as five. Even now, you can easily store the digital equivalent of The New York Public Library on a suitably-equipped desktop computer. The ability to synthesize all that data will require better tools, but those tools are coming along apace. I would dearly love to have a direct interface between my brain and the nets — imagine setting up a huge problem and just letting it chug away on a multi-core computer running as a peripheral to your mind! — but we don’t need any miracles of integration between silicon and wet-ware to foresee that each one of us will soon have the power — not necessarily to say the wit — to comprehend whatever we like, from English literature to particle physics to heart surgery, in its entirety.

And whether that frightens you or thrills you to the core or simply leaves you indifferent, it is upon us. It will happen.

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