03-14-2018, 11:18 AM | #21 | |
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Re: No AI/No Supercomputers: Complexity Limits?
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Interestingly, those other 'high tech' periods, like the Hellenistic era, also lasted about 3 centuries, and shared some political and social and economic parallels with this last one. I don't see any reason to assume that future surges of advancement won't happen, but predicting them is a crapshoot.
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03-14-2018, 11:50 AM | #22 | |
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Re: No AI/No Supercomputers: Complexity Limits?
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By that standard, genetic modification of living organisms is a newer technological revolution than computers; the theoretical basis was established after the first computers were built and around the same time that the transistor was invented, and prototype technologies came decades later. And nanotech is a later technology that shouldn't be discounted. Catalysts with nanoscale design are all through one of the journals I edit; they last longer and provide greater and more specific increases in reaction rate than old-style catalysts. Then there's modeling of the actual structure of the brain and its ways of handling information. Back when I was at UCSD, it was a radical proposal for a cognitive psychology textbook to say that we could and should study how neurons handle information; the orthodoxy was behaviorism, which said that we had to limit ourselves to external behavior, because internal processes would never be observable and speculating about them wasn't scientific—a statement that now sounds as quaint as Comte's dictum that science could never investigate the chemical composition of heavenly bodies. We're only barely beginning to see hints of applications of cognitive science and neuroscience, but they're likely to have a big impact.
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03-14-2018, 12:15 PM | #23 | |||||
Join Date: Feb 2007
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Re: No AI/No Supercomputers: Complexity Limits?
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Note again with regard to mass market, though: electrification has been a serious thing since the late 19C, but many rural areas and small towns only really achieved full electrification in the USA as late as the 1940s, almost half a century later, through a combination of natural spread and some government encouragement. Quote:
I never said all progress has stopped. I said it's slowed down considerably since the peak. For that matter, new basic science is still coming on the subject of heredity, epigenetics and the like are relatively new science. Quote:
I have no doubt that nanotech research and development is leading to interesting things, though. But the most significant results will, I suspect, be other than those most ardently hoped for by the enthusiasts. Quote:
Note that the behaviorism/internal processes argument in psychology parallels the arguments about artificial intelligence now. There's the group that says the output is defining, the 'Turing test' crowd that maintain that if you can't tell the difference in the output of the machine and the human, you must assume the machine is conscious. Then there is there opposition. Philosophically, the Turing Test approach falls apart when closely examined.
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03-14-2018, 12:24 PM | #24 |
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Re: No AI/No Supercomputers: Complexity Limits?
A major point of technical advancement is economics. No matter what you know and can do in theory you actually need a massive supply chain to produce it. Making a modern handgun in the middle ages might be technically possible but it would require so much precision, effort, time and money that you could produce hundreds or thousands of crossbows for the same cost. Even assuming they knew how, therefor, no one in the middle ages would bother with making an HK USP, because you could equip an army for the same price.
This is a big problem with a lot of Science! predictions as they currently stand. Making microscopic machines out of supercarbon is entirely possible, but it's also entirely impractical. A lot of the sci-fi community extrapolates based on technical data without adequately considering the resources, division of labor and supply chains required to make such advancements actually useful. While it's entirely possible that some unforeseen and incredible technical advances may be made in the future (even the near future) what isn't nearly so certain is that the massive improvements in manufacturing and distribution necessary to afford them will accompany it. For decades particle physics has been well ahead of any remotely useful application (at least for the people who aren't grant-funded nerds working at CERN, and even then they've got theories that exceed their ability to actually test them). Likewise for future-tech is that consequent advances in the technical arts and economic productive capacities in some areas may not lead to existing technology being replaced at all. Handguns are a perfect example. Lasers have been used for decades, but so far no laser weapon has ever been used in battlefield conditions - even the far less impressive 'dazzler' type of laser. And while ten or twenty years down the road may make a man-portable-flesh-boiler sufficiently rugged and effective to be used one can likewise infer that many of those same advancements could be used to produce virtually indestructible rifles with a hundred rounds of ammunition that only weigh as much as modern guns. Since the accuracy of firearms already exceeds the visual and coordination capabilities of 99% of soldiers the technical improvements in lasers may be completely irrelevant. The same could be said for all sorts of high-tech melee weapons. Other than home-owners with baseball bats and cops with billy clubs basically nobody uses melee weapons, because you can learn to shoot a gun more cheaply and easily than you can learn to fight with a mace. Even if you could build vibro chainswords there is a strong possibility that nobody will, because LAWs have the same effect at a lower cost and can be used from three miles away. Modern ships utilize very similar overall designs to sailing ships and longships. The materials are different and so are the engines, but the basic idea is to make a boat that doesn't sink in high seas. Need to defend yourself? Well, you could build a rail gun or a laser onto it, but it seems like cannons and missiles are still the preferred option. Another point: earlier today I was reading a post where someone said that Dyson Spheres are definitely possible. Well, they may be logically consistent mechanical designs but they may be totally impossible from a physical point of view. It may be impossible to ever actually acquire the sheer mass and type of materials required to build one (even a Ringworld would require multiple solar systems of matter). If the curmudgeons are right space is mostly useless because it's too inhospitable and everything is too far apart. For the resources it would require to mine asteroids or build a settlement on Mars you could build an entire city with super maglev trains that would hold thousands or millions of times as many people in a far more accessible and comfortable location. Literally everything is already on Earth, which is better than any space station that could ever be built. Thus even with super-levels of tech there may be virtually no space infrastructure outside of NEO because it's simply not worth doing. The point is that even a very high tech society might resemble ours in most ways. I think that, ideological and centralization differences aside, ancient Rome was a lot closer to modern societies than people might think. Furthermore, if you had the kind of technology and resources to do things like build Dyson Spheres and travel FTL and have self-feeding nanomachines it is extremely unlikely anything resembling biological human beings would exist and many of the familiar categories like 'politics' would become basically meaningless. Likewise with warfare - if you can open a hole in space time you can destroy the entire solar system with one attack. In fact the sheer energy concentration required to do so would probably destroy the solar system even if that wasn't your intent. The most plausible sci-fi that isn't completely post-human and unrecognizable is basically Cyberpunk, minus the Matrix-style computers that for some inexplicable reason have deadly positive feedback built in. A lot of Science! and science fiction is much lighter on philosophical and economic considerations than it is one technical ones. Almost every bit of futurist speculation could be critiqued on these grounds, but most of the advocates not only have no answer but are oblivious to the question. Finally, intelligence (in the human sense) is based on understanding and comprehension, and not data. They are fundamentally different things. Computers only deal in data, and without the comprehension they will never be intelligent. There may be many ways of building intelligence (or only a couple), but adding more operations per minute up to infinity will never produce understanding. Intelligence is a product of the physical relations of material objects, computers are just a wheel-gear mechanism to help us do math problems and can be built out of literally anything, from silicon to beer cans. Computing is literally not the same thing as intelligence, and computing without intelligence may (at best) help a robot avoid walking into walls. But even that's only possible because of deliberate design by intelligent creatures. Ants are a perfect example of a totally mindless computer machine. They can wander around and build more ants, etc, but they know nothing, and will never know anything, no matter how big the ant hill gets. They need fundamentally different brains for that. Last edited by VonKatzen; 03-14-2018 at 12:38 PM. |
03-14-2018, 12:35 PM | #25 |
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Re: No AI/No Supercomputers: Complexity Limits?
I get what you're saying and that might be why I liked the Aliens franchise because if felt more conservative from a sci fi standpoint. There's really nothing you see in Aliens that can't be done with a lot of what we have today.
However, complexity limits are something that I think confuses people quite a bit when it comes to programming. Much like manufacturing and production, the person creating the end product may not or need not know how everything beneath it works. To give you an high level example: Playing a video game has hardware like mice and keyboards, this has been encapsulated into USB HID framework, which the spec was written by one person, implemented by another in easy to use chips. These chips are sold to someone who needs to make a keyboard. That keyboard is plugged into the computer and the OS handles the input and output to a point the software engineer is calling functions like GetKeyboardState which can tell them the press/unpressed state of the entire keyboard. So that individual then writes a library that takes all that and turns it into game events that some other programmer might configured in a system like Unity. Then the game programmer using the Unity framework just goes "I need a jump event, and when that happens I move a sprite object". Look at this forum, this goes up quite a number of chains of software interaction to the point a web developer has to put an input object and post to a CGI/Database greatly simplifying his programming effort. So yes, there is a lot of complexity between in the final software but most programmers are only writing a fraction of it. Just like there is a lot of complexity in a car, but the guy who changed your washer blades for you didn't need to know material science to create a good rubber to wipe away the water from your windshield. I don't think GURPS conveys that very well in just complexity. SO is there a limit for complexity? No. Programmers all build on the shoulders of each other and as long as everyone is doing what they do well, you've have very few bugs. You only have to look at the difference between MS DOS and Windows 10 to see how vast complexity can get in your basic operating system and how pretty pain free it is for you to type on this forum right now. I have been working on a framework to convey all this better in simple to understand terms.
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03-14-2018, 01:09 PM | #26 |
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Re: No AI/No Supercomputers: Complexity Limits?
To use a different metaphor, gunpowder production was using potassium nitrate as an oxygen source centuries before oxygen was discovered. In computer terms, gunpowder manufacturers were using the saltpeter.MakeFireBurnFaster() method without knowing the programming behind it.
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03-14-2018, 01:21 PM | #27 | |
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Location: Lawrence, KS
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Re: No AI/No Supercomputers: Complexity Limits?
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And yet, though biology is in one sense reducible to physics, for human purposes it's a largely independent discipline and one that's likely to be just as important to us. It's already made some changes that affect the texture of life; for example, when I read last night of Hawking's death I thought, "76? That seems a bit young, but given his health problems I suppose it's not." A century ago, dying at 76 would have been considered a full life and maybe a bit extra. The big older population is having a massive impact on human societies. Or consider one of my personal hobby horses, taxonomy. Just over the past twenty years, genetic sequencing of vast numbers of species, and comparison of DNA similarity, has radically changed our views of phylogenetic relationship and taxonomy, with some help from plate tectonics. For example, the "African mammals" are now a group that includes African "insectivores," elephant shrews, aardvarks, hyraxes, elephants, and manatees; the closest relatives of whales are thought to be hippopotami rather than carnivores, and the closest relatives of carnivores are pangolins, which used to be considered rather basal placentals, and so on. Classification by morphological similarity has given place to classification by actual genetics. This is as big a change as Linnaeus coming up with the whole project or Darwin proposing that taxonomy should recapitulate phylogeny. This probably doesn't have many applications, but as science it's revolutionary. I think that biology came into being around 1800, started to take off after 1900, and is in a period of rapid growth now. And there's an area where enhanced computation has made a huge difference, because biological systems are insanely complex, and also where the theory of computers is influential, because genetics turns out to be a matter of programming. (As is development; one of Alan Turning's important papers was a proposal for a theory of morphogenesis as an outcome of chemical processes.)
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03-14-2018, 01:23 PM | #28 | |
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Re: No AI/No Supercomputers: Complexity Limits?
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03-14-2018, 03:28 PM | #29 |
Join Date: Feb 2016
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Re: No AI/No Supercomputers: Complexity Limits?
It is actually much easier to make a pencil from basic materials than to program directly from binary (I learned how to do the former as a boy scout when I was 12). I will never make a pencil though because it takes two or three hours to make a pencil by hand, assuming you have the parts, mostly due to the time that it takes the glue to dry, and it is just easier to buy a mechanical pencil. It would probably take weeks for each pencil if you had to make the materials without modern technology.
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03-14-2018, 05:26 PM | #30 | |
Join Date: Jun 2005
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Re: No AI/No Supercomputers: Complexity Limits?
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