Skip to main content

Drug Development

Ray Kurzweil’s Future

Ray Kurzweil’s people sent me a copy of his book The Singularity is Near quite a while ago when it first came out. I kept meaning to write about it, but several things kept interfering. One of the things was the book itself.
I’m of two minds about Kurzweil and the worldview he represents. As many will know, he’s about as much of a technological optimist as it’s possible to be, and I have a lot of that outlook myself. But I wonder – does it extend to my own field of research? More generally, and more disturbingly, am I only optimistic about the areas whose details I don’t know very well?
These questions came up again when I read a recent op-ed by Kurzweil in the Philadelphia Inquirer. It’s a good summary of his thinking, and it includes this paragraph:
“The new paradigm is to understand and reprogram our biology. The completion of the human genome (our genetic code) project three years ago is now allowing us to do that. This process is also exponential: The amount of genetic data we are able to sequence (decode) has doubled every 10 months, while the price for decoding each gene base pair drops by half in the same time frame (from $10 per base pair in 1990 to less than a penny today). For example, it took us 15 years to sequence HIV, yet we sequenced the SARS virus in only 31 days, and can now sequence a virus in just a few days.”
That, to me, is a mixture of accurate information, reasonable optimism . . .and unreasonable assertions. Yes, we’re sequencing things faster than ever before, and part of that increase comes through computational advances, which are a ferocious driver of everything they concern. But it’s a very long leap from that to saying that such sequencing is allowing us to “reprogram our biology”. Reading the DNA letters quickly does not, unfortunately, grant us an equally speedy understanding of what they mean. And we shouldn’t forget that sequences are only a part of biological understanding, a realization that the genomics boom of the late 1990s drove home very forcefully and expensively.
Then we come to this:
“Being able to decode the human genome allows us to develop detailed models of how major diseases, such as heart disease and cancer, progress, and gives us the tools to reprogram those processes away from disease. For example, a technique called RNA interference allows us to turn unhealthy genes off. New forms of gene therapy are also allowing us to add healthy new genes. And we can turn on and off enzymes, the workhorses of biology. Pfizer Inc.’s cholesterol-lowering drug Torcetrapib, for example, turns off one specific enzyme that allows atherosclerosis, the cause of almost all heart attacks, to progress. Phase II FDA trials showed it was effective in preventing heart disease, so Pfizer is spending a record $1 billion on the phase III trials. And that’s just one example of thousands of this “rational drug design” approach now under way.”
Oh, dear. Let’s take these in order. First, being able to decode the human genome does not allow us to develop detailed models of how major diseases progress. It allows us to begin to think about doing that, and to be, for the most part, mistaken again and again. Many diseases have a genetic component, or two, or a thousand, but we don’t understand them yet, nor their incredibly tangled relationships with development and environment. You’d think we’d know the genetic components of diabetes or schizophrenia, but we don’t, and it’s not for lack of trying. And as for the diseases for which the genetic component is less important, the sequencing of the human genome has been a non-event.
And yes, there is a highly interesting technique called RNA interference which can turn “unhealthy genes” off. It works quite well (although not invariably) in a glass tube or a plastic dish. A plastic dish, that is, in which you have carefully cultered cells in which you have carefully determined the presence of the gene of interest. And for many interesting conditions, you first need to find your gene, for which see above. Moving out of the cell culture labs, it should be noted that RNAi has significant hurdles to overcome before it can do anything in human beings at all, and may (like its forerunner, antisense DNA) still be destroying venture capital twenty years from now. Readers of this site once voted it the currently hyped technology most likely to prove embarrassing.
As for new forms of gene therapy allowing us to add healthy new genes, well, that’s another hope that I’d like to see fulfilled. But there have been a number of disturbing and fatal complications along the way, from which the whole gene therapy field is still trying to recover. For Kurzweil to leave that sentence in the present tense, in the sense of this-is-happening-right-now, is putting it rather hopefully.
And yes, we can turn off enzymes. Some of them. This has nothing to do with gene sequencing or RNA interference, though, or any other particularly new technologies – enzymes as drug targets go back decades, and enzyme inhibitors as drugs go back centuries. Of course, you need to find your enzyme and make sure that it’s relevant to the disease, and find a compound that inhibits it without inhibiting fourteen dozen other things, but that’s how I earn my living.
And yes, Pfizer hopes to make all kinds of money off torcetrapib, but I’m not aware that they used a “rational drug design” strategy. In the industry, we tend to use that term, when we can use it with straight faces, to mean drug design that’s strongly influenced by X-ray crystal structures and computational modeling, but I don’t think that this was the case for torcetrapib. Kurzweil seems to be using the phrase to mean “drugs targeted against a specific protein”, but that’s been the dominant industry mode since the days of bell-bottoms. And if there are thousands of programs comparable in size torcetrapib, they must be taking place on other planets, because there’s not enough drug development money here on Earth for them.
Finally, the end of the paragraph. Where does all this lead? Later in Kurzweil’s article, he says:
“So what does the future hold? By 2019, we will largely overcome the major diseases that kill 95 percent of us in the developed world, and we will be dramatically slowing and reversing the dozen or so processes that underlie aging.”
And here, I think, is where I can clearly differentiate my thinking from his. As opposed to a pessimist’s viewpoint, I agree that we can overcome the major diseases. I really do expect to put cancer, heart disease, the major infections, and the degenerative disorders in their place. But do I expect to do it by 20-flipping-19? No. I do not. I should not like to be forced to put a date on when I think we’ll have taken care of the diseases that are responsible for 95% of the mortality in the industrialized world. But I am willing to bet against it happening by 2019, and I will seriously entertain offers from anyone willing to take the other side of that bet.
Why am I so gloomily confident? For us to have largely overcome those conditions by 2019, odds are excellent that these new therapies will have to have been discovered no later than 2014 or so, just to have a chance of being sure that they work. That gives us seven years. It isn’t going to happen.
So I’m back to wondering: am I a technological optimist at all? I must be, because I still think that science is the way out of many of our problems. But am I only optimistic about things of which I’m ignorant? That’s probably part of my problem, yes, painful though it is to admit. Am I willing to be as optimistic as Ray Kurzweil? Not at all. . .

70 comments on “Ray Kurzweil’s Future”

  1. qetzal says:

    One wonders if Kurzweil really believes that 2019 timeline, or merely judges (rightly) that it will bring him lots of attention.
    Saying “we’ll conquer them eventually, but it’s gonna take a lot more time” just isn’t very sexy, however accurate it is.
    Personally, I doubt we’ll overcome all those even by 2059. Some of them, probably, but not all.

  2. bonzo says:

    Derek – Thank you! Every time I read or hear something by Kurzweil about biology I walk away convinced…that he’s a very, very smart guy who doesn’t know much about biology.

  3. Cherrie says:

    Hey! I ‘flipping’ agree with you!!!
    I sometimes think this sort of ‘optimism’ is bad because then the general public get frigtened about scientists ‘playing god’ and that sort of thing –> which never bodes well.
    P.S. I love your blog – I only recently discovered it! =)

  4. lone electron says:

    I can read the face of a playing card. It does not mean that I can win at Poker.

  5. daen says:

    Kurzweil is, admittedly, the de facto leader of the more wildly optimistic tribe of transhumanists, and that optimism tends to translate to somewhat unrealistic timelines for certain technological developments. That said, all the right things are happening, not necessarily in the right order or at the right pace, to tackle diseases such as cancer and diabetes and schizophrenia. Consider that it’s 53 years since the structure of DNA was determined, 31 years since Sanger developed the chain termination method of DNA sequencing, 21 years since Kary Mulis and colleagues developed PCR, six years since a draft of the human genome was published and three years since the human genome project has been declared as essentially complete. Companies such as Solexa and 454 Life Sciences now offer affordable, fast and accurate bulk DNA sequencing technologies, and existing players, such as ABI, are sure to respond soon. The current series of huge gaps in our knowledge between elucidating this wealth of DNA sequences and targetting disease pathologies will succumb, in time, to joint advances in technology, sufficient cash and the sort of dedicated cross-disciplinary enterprise that people like yourself bring to bear on these problems, Derek. In time.

  6. Industry Guy says:

    2019…..hmmmm…I better get my retirement plans in order since we wil all be out of work by then….

  7. daen says:

    On a not unrelated note, there’s a story in C&EN (vol 84, number 31, p 17) about the clinical applications of systems biology in which Leroy Hood at the Institute for Systems Biology predicts that within 10 years DNA-sequencing technologies will be rapid and inexpensive enough that everybody’s genome can be sequenced, with significant and positive implications for disease management. I was expecting the article to round off with a caution on timelines:
    Hood is reluctant to put a firm timeline on his predictions about systems biology fulfilling its clinical promise, but he is sure that it will be sooner than anybody expects. “If you want to think about the future, you have to take into account the exponential change of technology,” he says. “I’ve made a lot of predictions throughout my life. Inevitably, my predictions have been too conservative.”
    I guess he hasn’t spent much time with Ray Kurzweil, then …

  8. Anonymous says:

    In some ways, Kurzweil is less optimistic than the National Cancer Institute – they are hoping to eliminate ‘suffering and death from cancer by 2015’…

  9. RKN says:

    I’m not familiar with Kurzweil’s writing, but this flavor of unbridled optimism appears to be fed by the gene-centric view put forth by Dawkins and others that finally we’ve discovered the “source code.” Accordingly, we can now “re-program” the machines as we see fit. It’s a little difficult to know if people like this are merely sensationalizing the metaphor to sell books, or if they actually believe this stuff is practically true. A little time spent in the lab would go a long way toward sobering them up.
    Giving me ten millions lines of source code to a complicated computer program, by itself, tells me next to nothing about the behavior of the system it encodes. I must first compile and link the code (transcribe & translate), and then run the system to have any hope of gaining a real understanding of how it works. Sometimes you can change the behavior of the system with one or two edits to the source code, but far more often it will eventually cause the system to crash, and usually unpredictably. Sound familiar? It is well known how drugs intended to produce a single change, for instance, those that target one or two receptors, very often produce a cascade of “phenotypical” surprises. This is why I think the focus in biology, and understanding disease in particular, is turning toward a systems biology approach. It pretty much has to.
    Biologists are just now beginning to understand what software engineers have known for years.
    You’re wise to be skeptical of Kurzweil’s claims.

  10. tom bartlett says:

    I like Kurzweil’s idea of uploading our brains into computers to cheat death. It seems more likely to me than solving all the multitudinous failings of our pathetic “intelligently designed” bodies. But I ain’t holdin’ my breath…..

  11. Opti Predictor says:

    Here is a prediction that will make Kurzweil’s circa 2019 prediction pretty accurate:
    Once gene based therapies become proven in the lab – and some of them will be wildly successful at a very early stage – many “high net worth” individuals approaching old age will be willing to spend whatever it takes to get them. The result will be an FDA-avoidance scheme involving offshore clinics in soverign nations that are able to offer these services. Once the wealthy are cured at high cost, it is only a matter of a short period of time before the masses can afford it (true of every tech innovation – just look at plasma TVs).
    Once this happens the FDA’s analysis and approval process will be turned updide down and we’ll see a revolution in health care.
    I think 2019 is reasonable – within a four year window.
    We tend to think linearly. We can’t grasp the true power of the acceleration of knowledge, combined with AI.

  12. Justin B says:

    The part that struck me the hardest is “by 2019, we will largely overcome the major diseases that kill 95 percent of us in the developed world.” Not because of his blind optimism, but because of the word developed. What of the un- and under-developed world? Think they don’t have problems too? HIV rates are still very high in these places, reaching 35+% in Botswana. It is sad to think that hundreds of millions will not receive treatment because they are poor. In Kurzweil’s world, this new technology is only for the haves, not the have nots. When he writes a piece about how this technology has alleviated hunger, poverty, racial and religous intolerance, and violence, then I will be VERY impressed. But until then . . .
    I’m thinking that if I develop a cure for HIV, but only the uber-rich can afford it, I’m not sleeping well at night.
    And yes, the drug industry is a business, and making money is first on their list. Our work is not cheap, nor are the drugs we develop. But how long will it take for the “drugs of 2019” (forget the plasma TVs) to trickle down to the undeveloped countries? 5, 10, 20 years . . . never?

  13. daen says:

    Justin, in all fairness to Kurzweil, as you yourself point out, this is hardly down to his technology bias. But, anyway, you’re not quite correct to blame the capitalist model. The economic machinery which creates this uneven playing field has also enabled charitable trusts to be set up to tackle diseases dominant in less developed countries with access to funding equal to or in excess of what government sponsored research can offer, for example, in the form of the Bill and Melinda Gates Foundation. In many ways, this is already representative of the positive aspect of Kurzweil’s future – a man who made a fortune of billions of dollars from selling computer software over the last 20 years is dedicating most of it towards addressing orphan diseases.

  14. Monte Davis says:

    Kurzweil’s at the intersection of two tendencies:
    1) The millennial tendency — whatever the area of interest, we are On The Cusp of Something That Will Change Everything. (Sometimes stated as This Can’t Go On.) By suitable choice of axes and scales, you can always position Right Now at a point where an exponential curve is taking off.
    2) The IT-PC-Moore’s Law tendency — to generalize from one very exceptional confluence of science, technology, and business to others. How many times have you heard “If [technology X] had progressed as fast as computers, we’d have…”
    Trouble is, genetic and proteomic “code” isn’t at all like the IT architectures we’ve created, from bit-flipping hardware through instruction sets, assembler, and higher-order languages. There are intriguing parallels, but… organisms are software and hardware mixed, horribly gnarly, almost infinitely re-entrant, “spaghetti” beyond a coder’s worst nightmare. A given gene sequence or an alpha helix or a methyl group does many different things simultaneously in many different temporal, spatial, and biochemical contexts within one cell, let alone one tissue or organ.
    So understanding much of it, let alone moving wholesale to the engineering (AKA medical) stage where you can make one change and have some confidence that it will have one clean result, is… uhh… going to take a while, Ray.

  15. Justin B says:

    Our capitalist society is what it is, for good or bad (mostly good, in my opinion). In my view, Kurzweil should have omitted the word “developed” if he is indeed a humanitarian and serious about eliminating disease. I think he is an obsessive nut, but I hope he is successful.

  16. James Douma says:

    This seems to be a pretty common response of experts to the idea of the technological singularity. The general feeling that technology overall is moving amazingly fast and getting faster combined with a resistance to the idea of rapid advances in their own field. Its hard to avoid being conservative about your own field when you see the problems so clearly and technology sometimes seems to creep along while you struggle with hard problems. Also, when it comes to your own field you expect to be able to imagine the revolution in detail whereas you can avoid that expectation in fields which you know relatively less about.
    But the experts are often very wrong about how their own field is progressing. I think Kurzweil brings up that ‘sequencing the genome’ example a lot because it is easy to explain and, in part, because it shows how wrong the experts can be. A few years before the genome sequence was complete, when 90% of the work was done but only 10% of the genome was complete, the majority of experts were not expecting it to complete on time, and yet it completed ahead of time.
    There are a lot of examples of this phenomenon. You wonder why smart, informed people are systematically wrong about the progress of their own field, and systematically underestimate what can be done in the long term.
    The author of this blog isn’t expecting any breakthroughs. He is expecting constant, steady progress in a manner that it comparable to his recent experience in the field. When breakthroughs happen they are surprising discontinuities in the progress of a field. Nobody plans on breakthroughs. Nobody really expects breakthroughs. But breakthroughs happen a lot and they happen faster when you are uncovering more new data and finding more new ways to look at it. RNA interference didn’t exist a few years ago because it hadn’t been discovered. Today it is an extremely promising new tool, and there are an amazing number of other promising new tools that have also just been discovered. This flood isn’t going to stop. There will be more amazing tools coming faster and faster in the next two decades. Some of them will synergize. All of them will uncover a lot more data and give us new ways to look at it. And somewhere in that mix, there will be some breakthroughs.

  17. Canuck Chemist says:

    From the comments of professional commentators like Mr. Kurzweil, it’s obvious that most people have a pretty poor understanding of just where we stand in terms of our comprehension of biology. My analogy is that after the sequencing of the human genome, we have the complete works of Shakespeare in our hands, but it’s all in Greek. It’s a start, but it’s a far, far cry from actually understanding (and effectively controlling) all of nature’s beautiful subtleties expressed in our DNA. And that’s not even opening the door on the higher-order complexities of epigenetics, post-translational modification, gene silencing, alternative gene splicing, etc. We’ve made tremendous progress, but in some ways we’re still like cavemen peering under the hood of a car.

  18. TWAndrews says:

    I’m not familiar with Kurzweil’s writing, but this flavor of unbridled optimism appears to be fed by the gene-centric view put forth by Dawkins and others that finally we’ve discovered the “source code.” Accordingly, we can now “re-program” the machines as we see fit.
    What we’ve actually uncovered is not even the machine code! If we’re trying to use computers as an analogy, what the sequenced genome corrosponds to is the order of ones and zeros on a hard drive. Without a *lot* more information, that doesn’t tell you very much.
    For instance, the very first step in getting any meaning out of the data, might be to figure out which bits are related to the operating system. Assuming that you can find sets of bits which are “differentially expressed” in response to turning your computer on, you’ll probably be able to figure out some of the properties of your operating system eventually (but without some pretty strong assumptions about what an operating system looks like, this could be *really* hard).
    Once that’s determined, you can probably find, which some variable degree of accuracy, which bits the operating system groups together. Congrats, you’ve discovered that you’ve got files on your computer. Eventually, and again, with a not insignificant number of tests, you’ll probably be able to figure out how the operating system groups files into sets. Nice job, now you’ve got an operating system, directories, and files within them. You don’t know which files corrospond to programs, data or images, let alone being able to determine which files to modify to make a desired change, but still, it’s something.
    Just to get here would be an enormous amount of work, and probably thousands upon thousands of tests, wrong turns and mistakes. This is about where I see us as being in biology. We’ve got the genome, some information about how those genes are expressed, and ideas about some phenomena downstream from that.
    Additionally, to carry the analogy a bit too far, we’ve done a good job of finding some files which we know corrospond to various types of bugs, glitches and machine crashes, and found ways to modify these (mostly) without wreaking the system. But even so, we’re along way from being able to really understand our biology, let alone reprogram it.
    Basically Kurzweil’s on something if he thinks that we’re going to have everything figured out in the next 15 years. It’s going to be this century’s project to understand our biology and achieve the level of mastery over it that we developed over the pysical world in the 20th century through physics and engineering. Which is to say, profound, though hardly complete.

  19. Still Scared of Dinosaurs says:

    “2019…..hmmmm…I better get my retirement plans in order since we wil all be out of work by then….”
    Speak for yourself. They’ll keep running trials for at least a few years after the last research lab shuts down.
    😉 I think…

  20. secret milkshake says:

    In late 1940s, the pop-magasine prediction was that every family suburban house would soon have a tidy nice “atomic reactor” in the garage, about the size of a water boiler and the uranium fuel sticks would be obtained from the drugstore.
    (I bet it was not a nuclear physicist who wrote this charming piece of prognostication.)

  21. mungojelly says:

    Artificial intelligence is the crucial factor, the tremendous transformation. It’s perfectly reasonable to think that we wouldn’t be able to transform the world as quickly as Kurzweil & others are saying that it’s going to– we couldn’t. We’re just human beings. We are fantastically slow, ponderous & conservative compared to the cyborgs who are going to burn this place up.
    We always want to think that it’s going to stop here. There’s been a bunch of transformations, but they’re not THAT big a deal, really, are they? Now we can read genomes, so what. So what, indeed– if that were the end. The point isn’t that these transformations are going to change everything so completely; the point is that these transformations are only the mast poking above the horizon. Things will keep changing.
    At the moment we have tools to look at genes, but we still mostly use human brains to develop hypotheses about that data. It’s far far too much data for the tiny number of bipedal primates who do that sort of thing to fully comprehend. Agreed. What will change soon to make it comprehensible is the nature & practice of science itself. New kinds of understanding, nonhuman understanding, are emerging around us like flowers in spring.

  22. Derek Lowe says:

    MJ, I’m not seeing it over here. There are billions of dollars waiting for someone who can apply some of that AI magic to predicting human blood levels and toxicities of drugs, to pick just one notable example, and no one’s stepping up to claim ’em. Even a ten or 20 per cent improvement would turn someone into the Bill Gates of the drug industry. But it isn’t happening, or at least not yet.

  23. markm says:

    TWAndrews, great analogy. However, if I understand the current state of DNA research correctly, they have a basic understanding of the “file system”: transcription start and stop markers have been identified, and mechanisms to patch a gene (a “file”) together from several separate segments are partly understood, but there’s a long way to go to a complete understanding of gene regulation (what controls which files get read).
    But that also reveals more complexity – things like cross-linked files, that are errors in a human-designed OS requiring replacing the file from a backup, are apparently routine parts of the design in DNA. The same chunk of DNA can be read backwards, forwards, and from different starting points to produce different proteins. It’s not to conserve DNA, because something like 90% of the DNA seems to be junk, not part of a working gene. It’s like your hard drive was choked with cruft, including unrecovered parts of erased files, unused files, and pieces of a million outdated OS’s, while you were using programming tricks with the last 10% of your space to use one bit for multiple purposes.
    Or maybe all the DNA is there for a reason, and we only understand 10% of it.
    Finally, the DNA isn’t the program that runs the machine. It’s the program that writes the programs (proteins) that build and run the machine.

  24. RKN says:

    For the record, transcription always occurs in the 5′ -> 3′ direction, never “backwards,” at least not to encode RNA from DNA. The enzyme reverse transcriptase does “read” RNA from 3′ -> 5′, but this is to create DNA from RNA.

  25. Erik Nilsson says:

    In #23, markm defends a computer analogy for DNA.
    Analogies for things people have made (such as a computer) for something in nature (such as DNA) are popular, and inherently misleading. Designed things like a computer are orderly and comparatively simple. Biology isn’t like that. We have the same problem when we pretend that the wiring diagrams we make for metabolic and signalling pathways are like those for electronic circuits. But biological wiring diagrams are not design plans. They only map our incomplete and imperfect discoveries about the system.
    There are other problems with comparing DNA to a computer program. One big one is that programs have a purpose, but biology does what it does, whether we can ascribe a purpose or not.
    Perhaps a less inappropriate analogy would be, given the bits corresponding to a computerized accounting system, determine the structure and capabilities of the system, in total ignorance of GAAP and tax law.
    I’m an optimist about the promise of biomedicine, but it seems like every time nature has had an opportunity to be elegantly complicated, nature has exploited that opportunity. Biotech isn’t easy, and it won’t get easy. Various cancers may be routinely curable in 10 years, but it will be a lot longer than that, before we can “reprogram” our bodies away from disease.

  26. TWAndrews says:

    Analogies for things people have made (such as a computer) for something in nature (such as DNA) are popular, and inherently misleading.
    Absolutely true. But given that people are going to make them anyway, I was just trying to point out that even if the Biology : Computers analogy was apt, we *still* aren’t anywhere close to having the “source code” and being able to “reprogram” anything.

  27. daen says:

    Analogies for things people have made (such as a computer) for something in nature (such as DNA) are popular, and inherently misleading.
    Yes and no. Talking about “files” and “operating systems” and “source code” is simply too high a level of structure. DNA and its transcription machinery can, however, be considered as a real world example of a Turing machine, and can be analysed as such.
    As a sidenote, I find it curious that Roger Penrose, author of the anti-strong AI book “The Emperor’s New Mind” railed so strongly against the mind being algorithmically based (and hence, he argued, being capable of encompassing the analysis of algorithmic impossibilities such as the nature of halting states, which cannot be done with a Turing machine – and deriving elegant mathematical proofs), and yet failed to point out that the very machinery that builds the brain that houses the mind is dependent on essentially algorithmic processes …

  28. Erik Nilsson says:

    TWAndrews wrote: I was just trying to point out that even if the Biology : Computers analogy was apt, we *still* aren’t anywhere close to having the “source code” and being able to “reprogram” anything.
    Fair enough.
    daen wrote: DNA and its transcription machinery can, however, be considered as a real world example of a Turing machine, and can be analysed as such.
    This is literally false, and it’s not a useful analogy. Neither DNA transcription nor RNA transcription is Turing complete. You can’t compute with a strand of RNA and a ribosome. You just can’t. DNA and RNA polymerase are likewise lacking computational properties. The two systems together aren’t Turing complete either. Furthermore, transcription from DNA is not a general computational process.
    DNA looks superficially like the cartoon version of a Turing machine. This cartoon is just a handy way to visualize the mathematics, so the superficial resemblance doesn’t prove anything, but DNA transcription doesn’t even look much like the cartoon. For example, ribosomes can’t write values onto the RNA strand. It makes as much sense to say that a tape recorder is Turing complete, because there is a tape and a head. But a tape recorder isn’t a computer, either.
    Clearly, biology is able to peform computation-like operations. At the extreme case, since humans can simulate Turing machines in our heads (and since a human invented them in the first place), humans as a whole have Turing-like properties. But to consider “computation” on the molecular level, you have to drag in a lot more biology, and consider transcription regulation mechanisms. Plus, transcription regulation is often fairly important to “computation” (in the sense of a predictable response to sensory inputs) in prokaryotes, but what I’ve seen suggests it’s a lot less important in eukaryotes like us.
    This is one of the big problems I have with Kurzweil: he uses inappropriate analogies with computation to come up with laughable estimates for the computational power needed to accurately simulate cognition. Kurzweil should talk to more neurologists.

  29. daen says:

    Erik, I must disagree with you, as you seem to be a bit confused here. What has Turing completeness got to do with specific Turing machines? I never claimed any attributes of general computational completeness for DNA and its transcription mechanisms, merely that they may be analysed as a type of Turing machine. Not all Turing machines write to the tape (although they may do) and not all of them have valid halting states (although they may do). In essence, the 64 codon “states” of groups of three nucleotides all simply cause the “head” to advance the “tape” and read the next “code”, until it (hopefully) hits one of three stop states. Fairly dull, but still, I argue, a Turing machine, not just a simple tape recorder.

  30. I am an ignoramus. But with that disclaimer out of the way…
    From my reading of history(and I know, past result say nothing about the future) progress has happened far faster than people ever predicted. But all throughout that time, the Ray Kurzwil types have always been wildly wrong.
    They were wrong because along with unanticipated progress comes unanticipated problems. The diseases that use to kill people off in the 1800’s were largely cured by the 1900’s. Only for people to start dying of things that never use to be much of problem in the 1800’s. The cure for cancer was promised to us back in the 1950’s. We are all still waiting. We know a lot more about cancer than we ever did and we can fight it far more effectively. But cancer has proven to be far more complex than researchers originally thought back in the 50’s. And I am sure we can all think of more examples along that line.
    In order for Kurzwil and his ilk to be proved right, we must have unexpected solutions to the problems that we now face and no unlooked for problems. But that is not how the human search for knowledge has worked up to this point. We always seem to be discovering problems that we never dreamed existed along with our solutions to old problems.
    I expect to see unexpected solutions, but I also expect unexpected problems to come along.

  31. Erik Nilsson says:

    daen wrote I never claimed any attributes of general computational completeness for DNA and its transcription mechanisms, merely that they may be analysed as a type of Turing machine.
    I’m glad we agree that DNA transcription is not a universal Turing machine. But in that case, all you are cliaming is that a Turing machine can be described that simulates DNA transcription. That’s a very weak claim, since a Turing machine can be described that simulates any deterministic mechanism. For example, there exists a Turing machine that simulates a simple padlock, but that doesn’t mean a padlock has interesting computational properties.
    You made your claim with regard to Turing machines in an attemt to rebut or qualify my argument that analogies between DNA and computers are misleading. From your clarification, it appears we both agree that such analogies are misleading.
    Transcription isn’t nearly as simple as the cartoon version, of course. Incidentally, the Turing machine you outline in your response appears intended to simulate transcription from mRNA into proteins, not any process directly involving DNA, but the machine fails to simulate essential characteristics of this mechanism. Most obviously, the machine does not model protein production, which is a central aspect of transcription. You also are restricted to a single ribosome per mRNA strand, which is not the usual situation.
    What you’ve shown is that the popular, incorrect conception of the Central Dogma resembles the popular, incorrect conception of computer science. That probably says something interesting about how our brains work, which probably explains why a smart guy like Kurzweil can say such silly things about computers and biology. That was my point. You say we disagree. Where?

  32. Brooks Moses says:

    Heh. This is an interesting perspective for me, given that most of what I know about pharma I learned here, but I have had a small bit of experience with artificial intelligence.
    If anything, Kurzweil’s preditions about medicine and biology seem (from your descriptions) to be less off the mark than what I’ve seen of his predictions and claims about artificial intelligence. I distinctly remember some years ago sitting around the lab with a couple of AI researchers, looking at some new “AI” interface that Kurzweil had put up on his website, and roundly mocking it.
    The thing about MJ’s “artificial intelligence” predictions, Derek, is that the necessary artificial intelligence to do this kind of thing is something that exists “right around the corner”; nobody is claiming that much at all of it exists now. The whole core of Kurzweil’s predictions is that this corner is really close, and that as soon as we get around it, things will change very dramatically because the AI will be in a position to bootstrap itself without requiring laborious decades of human hard work. The expectation is that it will be a discontinuity, such that current experience with the capabilities of AI for things like drug design will not be valid predictors of what’s possible after the discontinuity.
    Frankly, from what I’ve seen, the idea of a discontinuity like that is … well, on historical timescales a thousand years from now, it might look like a discontinuity, but I expect it will happen on a scale more like a century or so, and getting to that corner is going to take at least that long. If it even happens that way at all, which I am also dubious about; AI research has created a substantial quantity of things that turn out to be useful but not anything like what we expect strong AI to be.

  33. daen says:

    Erik, you seem to be getting rather bogged down with cartoons and padlocks and details, and are still, it seems, deeply confused about my intent and, it seems, some of the actual molecular biology. I did not mention simulation, nor proteins, nor ribosomes, nor the Central Dogma, nor computation, nor translation. If you read it again, my last comment tries to draw an analogy between the action of transcription (ie RNA polymerase acting on a single DNA strand) and the actions of Turing machine.

  34. Erik Nilsson says:

    OK, so you like an analogy between Turing machines and DNA. That analogy proves nothing and illuminates nothing, mostly because it’s a bad analogy.
    I am not confused, but I’m bored. Feel free to have the last word if you like.

  35. celebrim says:

    “Derek – Thank you! Every time I read or hear something by Kurzweil about biology I walk away convinced…that he’s a very, very smart guy who doesn’t know much about biology.”
    Funny, every time I read or hear something by Kurzweil about artificial intelligence I walk away convinced… that’s a very, very smart guy who doesn’t know much about computers.
    Given his demonstratable successes in that area, that may seem a counter-factual claim, but I’m not so certain that it is. I think that his successes rather proof that he’s made achievements in certain extremely narrow areas. I’m increasingly convinced that this does not translate to any broad understanding of anything else. Kurzweil is the living proof that idiots can be brilliant, and geniuses can be idiots.
    Either that, or he’s just selling something to suckers.

  36. TallDave says:

    Oh, dear. Let’s take these in order. First, being able to decode the human genome does not allow us to develop detailed models of how major diseases progress.
    Not in and of itself, but it’s a necessary step in the road to being able to simulate biological processes to the level of protein folding.

  37. TallDave says:

    Why am I so gloomily confident? For us to have largely overcome those conditions by 2019, odds are excellent that these new therapies will have to have been discovered no later than 2014 or so, just to have a chance of being sure that they work. That gives us seven years. It isn’t going to happen.
    This is the major flaw in your thinking. Kurzweil’s whole point is that technological processes are accelerating. Why does it take 5 years for this process now? Because they have to be tested out in the real world in real time, as fast-time virtual simulations are not currently powerful enough to do realistic testing. It is likely this ability will develop considerably in the next 10 years.

  38. celebrim says:

    “AI research has created a substantial quantity of things that turn out to be useful but not anything like what we expect strong AI to be.”
    I think increasingly as we investigate intelligence and come to understand how the human mind works, we are coming to the conclusion that “strong AI” might be a myth precisely because “strong natural intelligence” seems to be nothing like what we expected it to be either.
    It’s entirely possible that humans aren’t general purpose problem solvers. I think we do a good job of faking it by adapting really inefficient algorithms intended to solve totally different problems (the “strong intelligence” equivalent to boggle sorting), and by generally only designing problems for ourselves we are capable of handling.
    I think that when we finally produce something that looks like “strong AI”, what it will actually be is a collection of algorithms for solving particular problems working in concert and no single general purpose problem solving reutine. This makes me skeptical that computers will be necessarly less errent in solving general problems than people are, and are likely to be using something like the same sort of inefficient error prone solutions humans use.
    I’m also skeptical that simply ramping up the speed of a mind will necessarily yield real increases in intelligence. I think we’ve long had a disconnect between the notion of intelligence and the notion of sensation, and that intelligence is every bit as much related to data collection as data processing.
    I’m equally skeptical of one of the primary tenents of Kurzweil’s view of AI, namely, that an intelligence of a given level will be able to see a clear path to improving or designing a superior intelligence.
    I’m also skeptical of much of the hypothetical materials he expects the nth generation AI to be made of, and wonder whether a material with any useful properties we can imagine can necessarily be created. Kurzweil imagines alot of handwavium in even his near to mid-term futures in my opinion.
    Lastly, I’m skeptical that any ammount of intelligence necessarily solves a given problem. Most real world problems prove to be “wicked problems”, and it’s not at all clear to me that wicked problems are solvable in the way we speak of a mathimatically solvable problem.

  39. celebrim says:

    “Not in and of itself, but it’s a necessary step in the road to being able to simulate biological processes to the level of protein folding.”
    If you were in the field of protein folding, you’d probably not be so arrogant.

  40. TallDave says:

    I did not say simulating protein folding would be easy. I said that was one necessary step.

  41. Josh says:

    I’m surprised that no one has mentioned something here, and that’s that cancer, heart disease, and many of the degenerative diseases are thought by many to primarily be caused by poor diet, obesity, stress, and toxins. In other words, they are “lifestyle diseases.”
    This is not to say there won’t be drugs that will cure cancer and other such diseases, and I’m all for people trying to develop them, but the reason cancer hasn’t been cured is most likely because it’s really a collection of diseases stemming from poor diet and toxicity. Many of the diseases we take for granted today barely existed 100 years ago. Works like Kurzweil’s are very important for the future of health and medicine, but I think just as important is a book like the over 60-years old Nutrition and Physical Degeneration by Weston A. Price.
    It will be great if we can beat physical evolution, and in many ways we probably already have, but I think we’d also be wise to respect the fact that our bodies haven’t evolved physically from hundreds of years ago. In other words, just because the things we feed ourselves are common doesn’t mean they are fit for human consumption, and we are paying the price for it.

  42. Tom Perkins says:

    “Artificial intelligence is the crucial factor, the tremendous transformation.”
    You seem to presume that when there is artificial intelligence, that it will want to work on our problems…
    Sorry, to me, intelligence implies volition.
    Yours, TDP, ml, msl, & pfpp

  43. TallDave says:

    Sorry, to me, intelligence implies volition.
    What makes you think YOU have volition? You’re just a series of hormone-driven nervous impulses responding to stimuli and running various biological algorithms. You’re programmed, in other words, to eat and sleep and have sex and achieve status.
    Let me just say that while a lot of the criticisms here are valid, I think people generally underestimate the utility of hundreds of millions of people owning their own personal petaflop processors. Bill Gates is allaged to have once remarked “Who the hell would ever need a 1Ghz processor, and what could anyone possibly do with it?”

  44. daen says:

    Erik, I sorry that you have a some kind of attention deficit issue and a penchant for circular argument. Perhaps if you toned down your arrogance a bit and read what people actually wrote you might find yourself being less easily bored, and be less boring to boot.

  45. Jeff Bennion says:

    Derek, if there is something you could address from your perspective here in the comments, or in a subsequent post, I would appreciate it. Kurzweil’s key thesis is accelerating returns. In other words, his predictions would be considered unrealistic if the world only progressed in linear fashion. But Kurzweil says he has demonstrated that knowledge and technology is expanding arithmetically or even geometrically. The most obvious example is in computation, but Kurzweil claims to have found evidence for this in other fields as well, notably–for our purpose here–pharmaceuticals. So that, in his argument, by 2019 you’d basically be doing, oh I don’t know, maybe a decade’s worth of drug development in just a year. What do you think? Do you discern any “accelerating returns” in drug development?
    From what I have read of your blog here, I *think* you would say that from your perspective, drug development is getting MORE expensive, and taking LONGER, and that this would probably be true even if you removed all the regulatory and litigation-avoidance nonsense that’s part of modern drug development.
    Part of this would be pretty easy to verify–how many drugs are in the pipeline today compared to 10, 20, and 30 years ago? Divide the total R&D budgets by the number of drugs in the pipeline (you’d have to discount for drugs that fell out of the pipeline earlier versus later-stages). And then compare that to how many drugs come out of the pipeline. Then check to see how long it took a drug to come to market 10, 20, and 30 years ago.
    I think this analysis would show that the size of the pipeline is pretty linear with the size of R&D, and that, if anything, drugs are getting MORE expensive, and taking LONGER to develop, not less. But when I tried to do this myself, I quickly realized that it requires access to proprietary industry data that is too expensive for an outsider like me to acquire.

  46. Bonzo says:

    @TallDave: “Not in and of itself, but [being able to decode the human genome is] a necessary step in the road to being able to simulate biological processes to the level of protein folding.
    Sure, but I can’t even begin to find a suitable analogy to describe how many subsequent steps are required to reach the end of that road.
    Lost in all of the hype of the Human Genome Project was the fact that decoding the genome was not in and of itself a great technical challenge — the basic principles had been well understood since the 1970s. All that the HGP (and the private efforts of companies like Celera, Incyte, and HGS) added was the financial and beureacratic incentives to refine the technologies to complete the effort much more quickly than what otherwise would have happened. Decoding the genome was straightforward.
    When it comes to “simulating biological processes to the level of protein folding”, we simply don’t have a clue about how to do it effectively (despite what one might read in grant applications or company press releases). We might have little wins in tiny little niches, but we are only two steps away from the alchemists in terms of generalizing from simulations to meaningful, reliable biological results. We simply don’t understand nearly enough of the most basic stuff.

  47. John says:

    I think Kurzweil and other Genetic Geniuses are going to find that genes, DNA, and RNA can not be manipulated so easily.
    We are in fact a product of our environment, and our cells have both a memory and communicate with the many subtle seen and unseen energies around us in the Universe.
    Our Mind controls our destiny as human beings; our cellular structure is much more complex than most PhD Cellular Biologist recognize at the moment.
    When Geneticists get off the “wrong track” and begin to look at human biology and cell structure thru the prism of Quantum Physics and Energy they will realize that they have been “barking up the wrong genome”…
    Kurzweil is just one more genius who is missing the complexity of life and attempting to “measure” what we may never understand.

  48. “I wish I said What he said!” to the comments of Monte Davis #14 above. It surely is a powerful crossing of memes.
    I love having Kurzweil around because he has picked up the torch of the Tofflers. It’s really not so much whether he is specifically on-target, but rather that it causes you smart guys to think about it all.
    My favorite philosophy is, “The value of planning is not necessarily to execute the plan you create, but rather to have planned.” The same is true here. Maybe the details are all wrong (he needs those details to sell a book), but the patterns are there. — FJD

  49. Jay Manifold says:

    Lots of speculation and definitional arguments here — occasionally entertaining and sometimes even illuminating, but after plowing through 46 comments I’m not sure the argument will be over by 2019. I therefore echo Jeff Bennion’s call for metrics. Anybody know how much progress is being made in, say, proteomics? Suppose we’ve got 300,000 working proteins (possibly wildly incorrect number recalled from my non-cyborg memory). For how many of them have we identified functions? Is the rate of identification noticeably accelerating? If 2019 isn’t a reasonable date (and Derek’s point about lead times is well taken by me as a complete amateur who happens to be a mild-mannered project manager in daily life) — what is?

  50. Cynical says:

    Not to oversimplify, but all of Kurzweil’s optimism is based on progress being exponential, and *uninterrupted*. Remember the Dark Ages? Then consider the disruption that a global pandemic or widescale massive EMPs could do to our technological progress.
    His fans can always answer any argument towards realism by saying that technology will double and redouble until what they want becomes doable and practical. But that same doubling potential can be applied to progress towards bioweapons, more addictive drugs, infallible police-state surveillance or mind control, or homemade nuclear weapons.
    I’ve seen no evidence of doubling and redoubling of human wisdom, and abuse of power never comes as a surprise. So be careful of wishing for transcendance. There’s no guarantee that you will be offered the option. Odds are fare more likely that someone else will use you for a drone.

  51. Chris Wren says:

    Unfortunately, Ray’s becoming the boy who cried “Singularity”. I’m getting a little bit fatigued with his breathless promises of technological innovations he will not be inventing himself. For example, Kurzweil breezily promises that carbon nanotube-based solar arrays will solve all our energy worries, and make global warming a bad memory. Yet carbon nanotube solar arrays can presently convert only 3% of solar energy into electricity – whereas existing solar cell technology converts 9% into current. How does Mr. Kurzweil expect the 97% gap to be filled? Well, somehow. That’s not HIS problem.
    As for Moore’s Law, there are plenty of factors that can overtake and nullify increases in processing power (there’s no Moore’s Law for software!) I find Kurzweil’s speculations interesting, but if he’s hoping for a technological rapture and cybernetic immortality anytime soon, I’m afraid he’s going to die a disappointed man.

  52. TallDave says:

    As for Moore’s Law, there are plenty of factors that can overtake and nullify increases in processing power (there’s no Moore’s Law for software!)
    That alleged absence hasn’t yet had any effect on our ability to write software that processors can’t handle fast enough. More and more functions get moved out of the programming task. Paradigm shifts abound in software. Remember when relational databases were a new concept?
    If processors get fast enough, we could move from object-oriented programming to self-replicating cellular or evolutionary programming, and from there to AI programming: programs written entirely by other programs.

  53. TallDave says:

    Not to oversimplify, but all of Kurzweil’s optimism is based on progress being exponential, and *uninterrupted*. Remember the Dark Ages? Then consider the disruption that a global pandemic or widescale massive EMPs could do to our technological progress.
    Very little. Knowledge gained is hard to lose (99% of historical knowledge, pre-Gutenberg, was not written on paper but passed by rote or orally from generation to generation), and even when lost can be inferred by its practical application (think how much easier it would be to design an internal combustion engine, assuming that info was lost, today than in, say, 1200 BC). Things like the Dark Ages and the Great Depression are mere blips.

  54. Laura Chasen says:

    Actually, if I remember the book right, Kurzweil references the dark ages issue and claims that in fact steady progress was being made then, as he claims it was even during the tens of thousands of years of early modern human prehistory — but so slowly ’cause the progress graph was still so far from the elbow of a singularity that it’s hard to notice. Gosh, this isn’t to say I think he’s right, just to point out that he does indeed have an “answer” for everything.

  55. Chris Wren says:

    One of the big problems I have with the idea of an exponentially-growing AI is that heat has to eventually become a limiting factor. All processing, even at the molecular level generates waste heat – just no getting around thermodynamics. Some Singulatarians have suggested that AI’s might migrate into space, to the outer solar system, where heat dissipation would be less of a problem. But space is probably much too radioactive as a processing environment, especially if you’re talking processors on the molecular/submolecular level.
    So that’s one of my big beefs with the singularity hypothesis. I’m guessing that the laws of thermodynamics will eventually flatten Kurzweil and Co’s hockey stick curve into the traditional S curve that seems to be the fate of so many other exponentially accelerating trends (like population, for instance)

  56. Doug Collins says:

    Reading the comments of the biological and AI professionals has been illuminating. As I recall, Kurzweil mentioned that the myopia of experts tends to make them the last people to see changes coming in their fields. What I’m reading above seems – to me, a non biology expert or AI expert – to support his point.
    In all probability, breakthroughs that will accelerate biological understanding will come from outside your fields- perhaps from error debugging techniques for legacy chips or systems or even (after one of those catastrophic wars that are supposed to slow us down) from new military techniques for fast reverse engineering of enemy systems (perhaps in a future Sino-Indian conflict? The discoveries won’t necessarily be made by us.) Or maybe even from art history. Or plumbing. We are seeing a breakdown of the divisions between specialties. What began a short time ago as people’s ideosyncratic ego dumps on the internet (weblogs) are becoming a real threat to journalists and television producers. Could your own fields become accessible to nonspecialists or to specialists in another field entirely? What unorthodox ideas might they bring?
    So why expect that you are qualifed to predict these things. The very fact that you are an expert in your field means that you are uniquely qualified with knowledge of how NOT to make critical breakthroughs in that field.
    Kurzweil is almost certainly wrong about directions and details, but he has some ability as a generalist. You are evidently specialists, with specialists’ characteristic disdain of anyone who isn’t conversant with all the minutae of a subject. Not surprisingly, you have trouble accepting that there may be valid generalizations that can be drawn without knowing all the relevant details intimately.

  57. TennWriter says:

    A few points:
    1. I’ve heard about ‘reversible’ computing which severely reduces the heat constraints on PC’s. That was in “The Artilect War”. So while there are a lot of problems, there are also a lot of solutions. Of course, these solutions take lots of time. Less and less as time goes on, but still…2019 is a joke.
    2. Since were tossing SF authors like Kurzweil around, let me toss another post-singularity one, Dan Simmons, into the mix. He speculated that the human mind was a quantum holograph sensor/analyzer. This to my mind makes more sense than ‘mind is meat’ reductionism since every age of scientists thinks the brain is like the most complicated machine of the age. Steamworks, clockworks, and now computers. Extrapolating from the past, with Ray Kurzweil’s blessing, I say the current theory is also incorrect.
    3. There is saying in the SF field…”If you feel like you can predict the future, take two aspirin and go lie down until the feeling goes away.” Who expected the Sixties from the Fifties, or the Eighties from the Seventies, or who among us was not surprised when the Berlin Wall fell? I’ve done a lot of extrapolation–the future has jags and zigs, and flips, and pendulum swings, and cycles, and there’s general rules to apply–except when you don’t. If you get some small fraction right, you congratulate yourself on your insight, and tell thousands of your brilliance. And this is justified, since predicting the future is probably one of the hardest problems around. Getting 10% right is A++.
    4. It seems Kurzweil is leaning too heavily on the coming of the AI. In biology, previous commenters have described just how terrifically complicated the code is for the human body. Its possible to run into problems which are simply too complicated for humans to fathom. How many tens of thousands or hundreds of thousands of lines of code can the brightest ‘code gods’ fathom before they find even themselves over their heads? The same problem in general should apply IMO to creating AI.
    5. And oh yes, to the fellow who thought his body was a bad design, and thus evolved, may I suggest another English SF author, H.G. Wells, instead of the noted English SF author Charles Darwin. In the Time Machine, our hero goes into the far future, and sees the Last Human. Its a non-sentient crawling mess that has degenerated from what used to be a fine genetic structure. Mutations are proven to tear down genetics. Even if you don’t buy ID, I think buying ‘increasing genetic load’ is logical. And so blaming your ancestors for getting doses of cosmic rays which instead of giving them Fantastic Four like powers, instead introduced into your genetic line whatever gene-inspired weaknesses plague you is the high-probability way to go toward a more accurate picture of reality, IM (not very)HO.

  58. Anonymous says:

    Of course, the last people one would want to listen to are those with actual experience in the field. 😉
    Expert bias is a real concern — I see a little of it every day. Non-expert bias is also a concern, too, and I also see a little of that every day, too, as biology is probably the most interdisciplinary of all the sciences.
    I would not be the slightest bit surprised if the “big” breakthrough comes from someone outside the field, but breakthroughs only happen when they are consistent with reality. So far, I see little evidence that folks like Kurzweil really grok the complexity of a biological organism.
    Complexity is not the same thing as minutiae (though the definition of greatness might rest in knowing how to distinguish between the two), and oversimplifying the complexity of a living system is a great way to kill it.
    As a forty-something year old scientist awaiting the results of a worrisome biopsy, I eagerly hope for breakthroughs from any source (actually, the sheer joy of experiencing even a tiny breakthrough is what started me down the road of being a scientist in the first place), but, as a great professor once told me, “Hope is not a protocol.”

  59. Karl Miller says:

    Speaking as someone way outside the field … Kurzweil seems to be for science what eager-beaver pop-historians like Francis Fukuyama are for the humanities. Fukuyama posited an End of History with a laughable disregard for the impact of science and then had the temerity to blather about science in his embarrassing retraction of that thesis: “Our Posthuman Future”. Likewise, Kurzweil postis a techno-rapture: The Transcendence of Biology, which bears a laughable disregard for political/psychological reality.
    Wasn’t the Drake equation emended after the Cuban Missile Crisis? I thought about awkward intersections between science and politics like that when I read “The Singularity is Near.” And while “awkward intersection” doesn’t quite sum up Galileo v. God, it could certainly apply to, say, Bush’s veto of stem cell research funding. There is no program for political reality and certain of our leaders have reminded us that they’re still capable of using the same scientific breakthrough to eclipse any future you care to dream up.
    But for all that, I’m more likely to forgive Kurtzweil for his sociological speculation (and his sexed-up progress reports) than I am to forgive Fukuyama for his scientific speculation. Science made self-annihilation (on a global scale) an ever-present possibility. Politically speaking, atomic power constituted a Singularity and I don’t mention it to belabor the old double-edge sword bromide; I mention it because I believe science can make self-transcendence a possibility, too.
    I came across this blog while searching for criticism of Kurzweil, and I have no credentials that entitle me to comment here (if you couldn’t tell by now!). But it sounds like most of this debate is about the timetable, not the general thrust of Kurzweil’s vision. I can’t dicker over 2019 versus 3426. But the real merit of Kurzweil’s paradigm isn’t its ability to forecast breakthroughs in any one field; the convergeance and re-convergeance of the Singularity’s constituent sciences is compelling enough in its own right. And it’s just the sort of geometric trend that specialists of any stripe can miss.

  60. bonzo says:

    Karl Miller: Bravo!

  61. daen says:

    From what Wikipedia tells me, it seems that “Dark Ages” as a term for the “(Early) Middle Ages” has rather fallen out of favour. Even using the term “Middle Ages”, apparently, has its problems. Morris Bishop, an eminent Cornell historian, wrote that “it was not invented until the age was long past. The dwellers in the Middle Ages would not have recognized it. They did not know that they were living in the middle; they thought, quite rightly, that they were time’s latest achievement.”
    As an aside, Wikipedia also tells me that Bishop wrote the poem “How to Treat Elves”. When asked what he does, the elf tells the narrator “‘I dance ‘n fwolic about,’ said he, “‘n scuttle about and play.'” A few stanzas describe his activities surprising butterflies, “fwigtening” Mr. Mole by jumping out and saying “Boo,” and swinging on cobwebs. He asks the narrator “what do you think of that?” The narrator replies:
    It gives me sharp and shooting pains
    To listen to such drool;
    I lifted up my foot and squashed
    The God damn little fool.
    Who says historians are dry and witless?

  62. daen says:

    Doug, can you call someone with a background in banking, computer science and biotech and a deep interest in speculative fiction a “specialist”?

  63. Kent says:

    Though I’ve a Ph.D. in astronomy, and work at a national laboratory, I’m not a technological optimist. I do believe technology can do a lot to improve our material condition, but (a) man does not live by bread alone, and (b) a lot of the technology that could improve our condition now (e.g. nuclear power) is seriously impeded by political considerations.
    Put another way, our society is a mess, but this is neither because of nor for lack of technology.

  64. Erik Nilsson says:

    49. Jay Manifold wrote:
    I therefore echo Jeff Bennion’s call for metrics. Anybody know how much progress is being made in, say, proteomics?
    The number of protein sequences submitted to protein databases is increasing at something like an exponential rate. The presumed cause is that the number of labs doing proteomics is growing, the amount of energy these labs is devoting to proteomics is growing, and the amount of proteomics you can accomplish per dollar or per grad student hour is growing.
    In this sense, we are making “exponential progress”, and will continue to do so for some time.
    But what is the utility of this progress? Proteomics still can’t answer some basic questions, like what proteins are present in blood. That sounds like a perfectly reasonable thing to want to know, but it turns out to be a very hard question.
    Even harder is to get a handle on post-translational modifications. Proteins exist in a fluctuating population of various forms. Mostly, other things get stuck onto them, and they get stuck onto each other. We’re not even sure what all of the post translational modifications are, yet alone which occur when and what they mean. Further, it looks like, to really work out complicated things like immune response or cognition, you have to understand an awful lot of what’s going on.
    The good news is, we can do some useful things even at our current impressive level of ignorance. It turns out that, even if you don’t know how something works, you can still sometimes figure out how to tell if it’s broken and sometimes even how to fix it. (Reminds me of the time as a kid I fixed a neighbor’s car, under the theory that a stream of gasoline coming from any hose is a bad thing, and patching the hole in the hose might help.) I expect a series of breakthroughs in proteomics over the coming years, each one representing a small, hard-fought victory in improving human health.
    It’s kind of like pouring an exponentially growing stream of water into a swimming pool that’s too big to see the other side of. Sooner or later, the pool will fill up, and when it does fill up, nobody (neither expert nor layperson) will see it coming. But this does not mean that a world-changing breakthrough in biotech (proteomics, or predictive medicine, or P4 Medicine, or what-have-you) will be soon, only that its arrival will be hard to predict. Easy problems like routine cures for many cancers are likely but not certain in the next few decades. Harder problems like cures (not treatments) for autoimmune and neurodegenerative diseases may take quite a bit longer. Really hard problems like strong AI aren’t even being approached in a meaningful way yet.
    To me, biotech is the intellectual project of the 21st Century, and will ultimately transform human existence for the better. But this project may extend well beyond the end of the 21st Century.

  65. Wanda says:

    I read Fantastic Voyage, The Age of Spiritual Machines and The Singularity is Near, and they changed my life. I even found some of his lectures on Itunes and I find myself impatiently awaiting his next book.
    Recently read another incredible book that I can’t recommend highly enough, especially to all of you who also love Ray Kurzweil’s work. The book is “”My Stroke of Insight”” by Dr. Jill Bolte Taylor. I had heard Dr Taylor’s talk on the TED dot com site and I have to say, it changed my world. It’s spreading virally all over the internet and the book is now a NYTimes Bestseller, so I’m not the only one, but it is the most amazing talk, and the most impactful book I’ve read in years. (Dr T also was named to Time Magazine’s 100 Most Influential People and Oprah had her on her Soul Series last month and I hear they’re making a movie about her story so you may already have heard of her)
    If you haven’t heard Dr Taylor’s TEDTalk, that’s an absolute must. The book is more and deeper and better, but start with the video (it’s 18 minutes). Basically, her story is that she was a 37 yr old Harvard brain scientist who had a massive stroke in the left hemisphere of her brain. Because of her knowledge of how the brain works, and thanks to her amazingly loving and kind mother, she eventually fully recovered (and that part of the book detailing how she did it is inspirational).
    There’s a lot of learning and magic in the book, but the reason I so highly recommend My Stroke of Insight to this discussion, is because we have powerfully intelligent left brains that are rational, logical, sequential and grounded in detail and time, and then we have our kinesthetic right brains, where we experience intuition and peace and euphoria. Now that Kurzweil has got us taking all those vitamins and living our best “”Fantastic Voyage”” , the absolute necessity is that we read My Stroke of Insight and learn from Dr Taylor how to achieve balance between our right and left brains. Enjoy!

  66. Alex says:

    I am less interested in the specifics of Kurzweil’s timeline than the logistics of creating the kind of society that will expedite this process. Buckminster Fuller compared the challenge to the challenge facing society as a result of the advent of World War II, and Michio Kaku makes the useful point that politicians tend to react with major efforts in response to catastrophic events. I believe we do have the capacity to change and make progress much more rapidly than we do, and I do believe in the acceleration of ephemeralization (Kurzweil’s law of accelerating returns) and that the greatest impediment to such change is political complacency. Thus I argue that we need a new kind of society: technocracy. That said, I have checked some of Kurzweil’s assertions re the 2020s, e.g., his assertion that nonotechnology will begin to be used in medicine, and his predictions seem to be borne out. One of these days I will document his timelines in detail and attempt to verify them independently. See you in the Singularity!

  67. Matt says:

    “So what does the future hold? By 2019, we will largely overcome the major diseases that kill 95 percent of us in the developed world, and we will be dramatically slowing and reversing the dozen or so processes that underlie aging.” –Kurzweil
    I’ll go ahead and predict the future: in 2019, Kurzweil will point to the latest treatments and prospects in pipelines and say, see, we can “overcome” these major diseases. After all, the death rate from heart disease and many cancers IS dropping. He can also say, science has overcome them, it’s not the fault of science if people still choose to engage in risk factors.
    Simular optimo-speak can be used for the aging: scan some “science daily” rag, find one or more overblown research results, and there’s your “proof.” Heck, doesn’t resveratrol already claim to do this?
    If these things aren’t really seen out of the lab setting, he will say it is a niggling criticism, he is only off by a few years but the substance of his prediction is valid.
    The problem is, what his optimo-tinted sunglasses see as the present reality doesn’t reflect what most other people see. He probably already views most of these as largely overcome, whereas many of us might think “largely overcome” would mean these factors would be relegated to the last 5% “misc. other” pool. (Without having some negative event overshadow the stats.)
    “Experts in the field are the last to see…” is the perfect launching point for BS. If it were followed by “I don’t know how it will happen, but this is the trend” it would at least be logically consistent, but it isn’t. It’s followed by field-specific jargon-y handwaving, meant to excite people outside the field, immune to the criticisms of those who actually understand what’s going on.
    Based on CDC Faststats for 2006, the 95% mark would include heart disease, cancer, strokes, lower respiratory disease, diabetes, Alzheimer’s, influenza and pneumonia, nephritis and related disorders, and septicemia. I’m going to go out on a limb, and say I predict Ray Kurzweil will die from one of those conditions, or the accidental/inflicted death variety. Nothing personal, of course, I’d predict the same for anyone else.

  68. Kryle says:

    A very insightful, informative and, above all, very sobering article. I recently watched Kurzweil’s documentary version of “The Singularity is Near” and it seems to me Kurzweil’s lost much of his objectivity regarding where technology will take us by 2045 or so.
    That’s not to say life and technology won’t be radically changed by then, but Kurzweil comes across as someone so profoundly affected by death and personal loss, that he’s allowed his hope for a longer-lived future–one that will overcome death and suffering–to cloud his judgement.
    Much of what he postulates sounds more faith-based than scientific. Oh the irony of a faith-based, illogical embrace of science as a hope for extending both life and the quality of life.

  69. Terry says:

    I think Kurzweil is incredible, his intelligence and copius acclomplishments make me feel very inferior.
    But if he is right and we do make living forever possible then the population will have to remain stable at some point. No more children, same people inhabiting the planet forever. Makes it all seem pointless don’t you think.

Comments are closed.