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Comment Re: Conclusion: (Score 1) 373

The urban centers provide the tax dollars to make your life possible. Roads, electricity, telephone lines, etc are mandated by the government and without that you'd have nothing.

...and they make our life possible by providing food and natural resources. I think we need them more than they need us: life without technology would be hard but life without food would be a lot harder.

Comment Only if you want to die of rarer causes (Score 1) 373

Escape rural American lifestyle as soon as you can.

Only if you want to die of something less common. While the article is suggestive that the life expectancy of rural americans is shorter it never actually says that which suggests that they do not have the evidence to make such a claim. So if it does not make any difference to the average life expectancy do you really care whether you end up dying from a stroke instead of a rare form of cancer?

Comment Automatic Light Switches (Score 1) 172

Would indeed be great for any sort of business/public environment.

Not it it works as well as automatic lights which, at least where I work, seem to stay on over night without anyone in my office and then regularly turn off every ~30 minutes or so when I am in the office. If I have to keep waving at the computer as well as the lights to prove I am still there it is not going to improve my productivity.

Comment Publish papers not press releases (Score 1) 148

MIT is an academic institution. People have to publish to get degrees.

Academics have to publish papers in scientific journals not press releases with unscientific claims. You don't see this sort of thing coming from the Universities of Cambridge and Oxford and yet they are academic institutions which usually rank higher than MIT. If you are truly doing world-leading science you don't need to hype it, just publicize it, because the work speaks for itself. Over hyped claims like this makes you look like you are desperate for attention and undermines the impact of the real result if they ever do manage to create this material and it performs as expected.

Comment Impressive hype, less impressive science (Score 4, Insightful) 148

According the the article they only have a theoretical model for the material and the claim that it is the strongest material known seems to be based solely 3D printed models agreeing with a computational model of the material. This is no grounds whatsoever to claim that this is the "worlds strongest material". It's a promising start which might lead to that but until you have actually built the material and measured its properties you cannot claim the discovery.

We did not claim the Higgs discovery in the 1960s based on Higgs' theory we needed to wait until there was experimental evidence showing it was correct. The same applies here: there is no guarantee that some effect they have not modelled is important and means the material does not behave as they expect it to. A macroscopic plastic model is not guaranteed to behave the same due to the larger quantum mechanical effects at smaller scales. In fact so far they do not even know yet whether it is possible to build the material - so lets cut the hype and have them make their claim when they actually have the material in hand and confirmed it really does perform as they predict.

Comment Re:GPU Improvements (Score 1) 293

Actually your article shows I am right. The GPUs are soldered onto the motherboard it is just that the motherboard is split into three to wrap it around the triangular heatsink. The boards with the GPUs on them are not just GPU boars e.g. one contains the SSD port too and so are functionally parts of the motherboard. However if we ignore semantics and just look at it pragmatically nobody, not even Apple, has ever produced an upgraded version of these boards so whatever you think about the motherboard, the GPU is clearly not upgradable.

Comment Not for GPU! (Score 1) 293

Performance users would look at cloud computing for extra horsepower.

Well it is interesting that you say this because while you are correct for CPU for GPU the situation is very different. I've actually been leading a project to develop a cloud based cluster to meet our local research computing needs and GPUs are very tricky in the cloud unless you buy the massively expensive Tesla cards which are 5-10 times the price of regular 'gamer' GPUs.

So if you have single precision work (double precision work requires the expensive cards) cloud computing is still rather tricky because nVidia do not want you to do this. A colleague of mine did manage to figure out last month a way to get the driver for nVidia 10-series cards working under OpenStack - you have to a a patch to KVM to hide the fact that the machine is a virtual one from the nVidia drivers - but this is a hack an not really easy to scale at the moment.

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