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User: kajod_kaka

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  1. Those worried about grey goo: please read this on Nanotech or Nano-Not? · · Score: 0, Flamebait

    I am not going to vent my own bitterness about how stupid the grey goo/nanobots crowd is. Instead, read this extremely interesting and insightful article that contains a discussion on the subject between Drexler and Richard Smalley. http://pubs.acs.org/cen/coverstory/8148/8148counte rpoint.html OK, I am going to vent a little bit of my bitterness: Drexler is a moron, and in that article, Smalley exposes him as one.

  2. Re:Computer interfaces on Tim Brown On Current Design Challenges · · Score: 1

    when I press the on button, I want it to turn on. Instantly. I don't want to have to wait several minutes for it to "warm up" like the old TVs used to. And when I press the off button, I want it to turn off. Instantly. Last I checked, that was a technology issue rather than an interface design issue.

  3. Re:Design Challenges Part 2 on Tim Brown On Current Design Challenges · · Score: 1

    Number of CDs to install RedHat 9 = 3 Number of CDs to install WinXP + OfficeXP + IIS + MS Visual Studio + ..... = 15 gazillion. Your point?

  4. Re:Make Ergonomics Open Source! on Tim Brown On Current Design Challenges · · Score: 1

    Why has this been modded "Interesting"? Sheesh, where's your sense of humor, people?

  5. More on benchmarking on Apple Hardware VP Defends Benchmarks · · Score: 4, Informative

    The 30th International Symposium on Computer Architecture had an interesting panel discussion on benchmarking in industry and academia, with people like John Hennessy, Dave Patterson and Gurinder Sohi on stage. The conclusions: most benchmarking in industry, especially SPEC, is a pack of lies. And benchmark results published by academic researchers aren't much better. So, not really much point in losing a lot of sleep at least over their SPEC numbers.

  6. Re:Clarification on Convergence of Biology and Computers? · · Score: 1

    What you are saying here makes no sense at all. Essentially, there are 2 major problems in making a physical replica of a neural system:

    1. We don't completely understand how a single neuron works yet: there are too many complex chemical interactions taking place that are not well understood.

    2. The main complexity of the brain lies in the connections and not the neurons themselves. Modeling billions of neurons where each has an average connectivity in the hundreds is really hard.