When I was 12, a guy who was a ham radio operator moved in. My uncle had gotten me started on radio, but then he went off to the war–he worked in Britain on the radar project. Anyway, this guy had a background in electronics and he was willing to teach me what he knew. That was just as the war was ending, so there was all this war-surplus electronics on the market, dirt cheap. With the little bits of money that a kid could earn, I could buy piles of electronics, and try to figure out what they were and why they were that way and how I could modify them. That was how I got my start–you could afford to do experiments, because the stuff was so cheap. You could build up equipment and try things, just to see what happened.
– Carver Mead, quantum physicist, as he later became. He helped drive some of the inventions of the modern age, such as hearing aids. His brief reflections on how and why he became interested in science make me wonder whether today’s schools are doing a very good job in the West of firing such enthusiasm. Or maybe I am being grumpy: why don’t commenters share their stories of how they got interested in a particular field?
Close, but no cigar this time. Bodes well for the future tho.
– Elon Musk
One of my favourite up-and-coming libertarian intellectuals is Anton Howes, who manages to combine being both a hugely effective libertarian activist and a very promising academic. He, along with a great gaggle of others, runs the very impressive Liberty League, and he is doing some very interesting historical research.
The particularly good Anton Howes news, from the point of view of the sort of people who read Samizdata, is that Anton Howes now has a blog, Capitalism’s Cradle. It reflects Anton’s research interests. He is studying the origins of the British Industrial Revolution by studying the biographies of several dozen of the key industrial innovators who set that Revolution in motion and who then kept it in motion. I first learned about this blog when Anton himself told me about it at the Adam Smith Institute Christmas Party last week. Anton is the rather solemn looking guy in the third row down, on the right, in this selection of photos that I took at that event.
Below is a quote from the very first posting on Capitalism’s Cradle, entitled Why Capitalism’s Cradle? I take this posting to be both an explanation of why the Capitalism’s Cradle blog is called that, and a question about why Capitalism’s Cradle did its stuff where it did and when it did. The question Anton is trying to answer is: What was it about the British Industrial Revolution that caused it to do better than various other “Golden Ages” that had preceded it in earlier times and in other places? Because it was indeed very special. It didn’t just happen, and then revert back to business as usual. This particular Golden Age never stopped. It spread, and it is still spreading. Why?
Innovation existed before the Industrial Revolution. Of course it did – you need look no further than the invention of agriculture, writing, bronze, crop rotations, horse collars, windmills, gunpowder, printing presses, paper, and bills of exchange to know that innovations have occurred throughout history before the IR.
The difference is that these were few and far between. Some of them, often grouped together, resulted in Golden Ages, or “Efflorescences” as Jack Goldstone likes to call them. The 1st Century early Roman Empire; the 8th Century Arab World; 12th Century Sung Dynasty China; the 15th Century northern Italian city-states; and 17th Century Dutch Republic are all good examples.
Britain could have been just like any of the other Golden Ages. It could have had Abraham Darby’s coke-smelted cast iron, Thomas Newcomen’s steam engine for pumping mines, John Kay’s flying shuttle to allow weaved cloth to be wider than the length of the weaver’s arm-span. Perhaps we would have had Lady Mary Wortley’s inoculation against smallpox, some canals much like the Romans’ or Medieval Chinese, and Jethro Tull’s seed drill.
But like every previous Golden Age, that would have been it – until the next Golden Age, wherever and whenever that would end up being.
But the British IR was different. It started off as a ‘mere’ Golden Age in the 18th Century, but the pace of innovation was maintained and then quickened. And it hasn’t stopped for the past 250 years or so. Despite the occasional downturn, we still expect at least 1-2% GDP growth. Anything less than that is considered stagnation.
That isn’t the answer to the question. It merely restates the question in somewhat greater detail. But I particularly like this elaboration, because I have heard Anton refer in passing to these Golden Ages, these efflorescences, in various talks that I have heard him deliver, but I didn’t make a note of what they all were. Now, I have this blog posting, and this blog in general, to enable me to chase up such notions, and also to help me ponder all the other notions that will be needed to get towards an answer to the question that Anton is posing.
I do not think I will be the only Samizdata reader who will also be a regular reader of Capitalism’s Cradle.
Stephen Hawking mentioned the singularity to a BBC reporter.
The development of full artificial intelligence could spell the end of the human race. […] It would take off on its own, and re-design itself at an ever increasing rate. […] Humans, who are limited by slow biological evolution, couldn’t compete, and would be superseded.
The article does not elaborate. It is quite possible Hawking does not see this as a bad thing, or includes in his analysis the possibility that humans might become machines.
I am slightly more concerned by the fact that I heard about this on BBC Radio 2, and by the way it is reported to its middle-aged, middle-class, probably slightly afraid-of-change listeners. It seems only a few short steps and a moral panic from here to some really stupid legislation. I would be happier if people researching how to make AI safe got a bit further along in their work before that happens.
What happens if each of those experts feels entitled, even obligated, to lie just a little, to shade his conclusions to strengthen the support they provide for what he believes is the right conclusion? Each of them then interprets the work of all the others as providing more support for that conclusion than it really does. The result might be that they end up biasing their results in support of the wrong conclusion—which each of them believes is right on the basis of the lies of all the others.
That is one of the reasons I am not greatly impressed by the supposed scientific consensus in favor of Catastrophic Anthropogenic Global Warming.
– David Friedman
As I am fond of saying, it works like a stock market bubble. There is no need to posit a conspiracy. David Friedman’s view that this is a matter of a build up of many little lies rather than a few big ones is a more realistic as well as a more charitable picture of the mechanism at work.
I am yet more charitable than Professor Friedman. Though I completely agree with him that there are almost certainly many scientists shading their conclusions, it might well be the case that they are not doing so consciously at all. All it would take is for a lot of people with jobs to keep and mortgages to pay each to see which side their bread is buttered when the time comes round to apply for grants. As the American socialist author Upton Sinclair put it, “It is difficult to get a man to understand something, when his salary depends on his not understanding it.” On the unbuttered side of the bread, when a scientist observes that colleagues who raise doubts suffer for it, she would be acting much like the rest of humanity if she, while never aware of feeling fear, somehow finds herself more comfortable out of the intellectual proximity of these pariahs.
In a way the Rosetta scientists had it easy. All they had to do was hit a moving target half a billion kilometres away. Succeed or fail, there is no kidding yourself and no kidding others. Twenty-eight minutes later you and the world will know.
ADDED LATER: Fraser Orr comments:
“The answer to the CAGW people is simple: make a prediction that is falsifiable and can be measured in a reasonable length of time. Give me an example of a significant result where you predicted the future and it came true. Explain why your last fifteen years of prediction have been completely wrong, and if you have a wild ass explanation of something you didn’t factor in, give us a reason to believe that you didn’t forget something else.”
Soon all our household needs will be served by our little mechanical slaves!
…um… yes. I might wait for version 2.0
Richard Branson’s space tourism shows what today’s obscene inequality looks like
When rich people burn huge sums of money on fun, it wakes us up to the excesses of the free market
– Zoe Williams, writing in the Guardian.
Normally it’s rather difficult to get the news media to lose their shit like a bunch of screeching schoolkids over a story like, “Defense Manufacturer Offers New Product That Makes Incremental Advances on Existing, Widely-Used Technology.” But fortunately for Israeli defense manufacturer Rafael, the maker of the Iron Dome short-range air defense system, reporters don’t always understand what it is they’re reporting on.
– Ryan Faith
…mobile phone technology!
VICE has a very interesting report, looking at at how the US military is adjusting to the astonishingly rapid proliferation and deployment of cheap drone technology. Faced with using multi million dollar weapons platforms firing munitions costing hundreds of thousands of dollars against these things, they are seeking more feasible ways to counter air threats costing thousands or even mere hundreds of dollars. And the threat is not hypothetical: even the daesh Islamic State claims fairly plausibly to be using cheap reconnaissance drones right now, and Hezbollah appears to have fairly sophisticated armed drones (fast forward to 1:25 or thereabouts to see the boom and hear the invocations to Admiral Ackbar or whatever). We really are entering a new era not just commercially but also militarily.
Great confidence is being expressed about how robot cars are about to change the world. Robot cars, says a typical headline that Google (one of the prime movers in this new technology) has just today alerted me to, may be coming sooner than you think. But doubts are also being expressed:
A good technology demonstration so wows you with what the product can do that you might forget to ask about what it can’t.
Case in point: Google’s self-driving car. There is a surprisingly long list of the things the car can’t do, like avoid potholes or operate in heavy rain or snow.
Yet a consensus has emerged among many technologists, policymakers, and journalists that Google has essentially solved – or is on the verge of solving – all of the major issues involved with robotic driving.
“Essentially”. That’s a word that often means “not”. And “on the verge of” often signals a problem that turns out to be hideously intractable, as year after year passes with nobody any nearer to a definitive answer. I seem to recall an entire British high speed train project being abandoned because they just could not make the tilting of the carriages work perfectly. It worked okay, but okay wasn’t good enough. It had to be perfect, and perfection proved elusive. Here is what wikipedia says about that, for whatever wikipedia may be worth when reporting a story that remains controversial.
Even that constantly repeated refrain about how robot cars are coming “sooner than you think” is, if you think some more, an acknowledgement from robot car boosters that there are actually widespread doubts out there in the regular, non-techy world about how well these devices really will work, and how completely, above all how quickly, all the problems that they will face have really been and will really be solved. Yes, the techies will eventually get their robot cars working, probably. But for a few more years yet, there will surely be a nasty little clutch both of known unknowns and of unknown unknowns to deal with, all of which will have to be thoroughly dealt with. Crucially, such problems will all have to be solved. If robot cars get the go-ahead and work flawlessly for two months, followed by a lurid catastrophe like something out of a disaster movie, when a bunch of robot cars all follow each other into a swamp or over a cliff, or just run amuck and kill dozens or even hundreds in one catastrophe like in a plane crash, then their introduction will be judged a failure rather than given nine out of ten for technical accomplishment and an A plus for effort.
This strikes me as a lot more immediately promising:
→ Continue reading: Robot lorries now seem to me more immediately promising than robot cars
Imagine audio and video bugs get better and better. Maybe in the form of tiny physical cameras, maybe as viruses that will eventually succeed in penetrating any computer, phone or similar device, maybe as some kind of broadcast or field. There is parallel progress in the science of searching through audio-visual records. Eventually every house, every room, every human body is bugged – saturated with bugs. Of course most of the time no one is interested in you. But if ever you become interesting, they can watch you, not just now, but at any time going back years. What you were doing on any given day. Every time you sang along to your ipod, had sex, mentioned the word “government”. But “they” is not just the government; it is anyone.