Capitalism/The Market.

Does anyone know if and where can I find "IB Mathematics Standard Level Course Book: Oxford IB Diploma Programme" (I need this one specifically)?

https://global.oup.com/education/product/9780198390114/?region=uk

Thanks! This will be helpful.

No, I have this in mind:

The results indicate that children's performance declines throughout the morning and that this decline can be significantly reduced following the intake of a low GI cereal as compared with a high GI cereal on measures of accuracy of attention (M=-6.742 and -13.510, respectively, p<0.05) and secondary memory (M=-30.675 and -47.183, respectively, p<0.05).

http://www.ncbi.nlm.nih.gov/pubmed/17224202

I mean, if you are oscillating between sugar highs and crashes, it is difficult to concentrate, plus it causes diabetes etc..

With diet, modafinil, etc this might already be the case. Sugar alone makes it more difficult to concentrate for many people, as well as having many other deleterious effects. Yet all many people do is say "you can have your chocolate, but only after you take your ritalin"

We have the technical means to produce brain emulations. It requires just very straightforward advances in imaging and larger supercomputers. There are various smaller-scale brain emulation projects that have already proved the concept. It's just that doing that at a larger scale and finer resolution requires a lot of person-years just to get it done.

EDIT: In Rumsfeld speak, whole-brain emulation is a series of known-knowns: lots of work that we know needs to be done, and someone just has to do it. Whereas AGI involves known-unknowns: we don't know precisely what has to be done, so we can't quantify exactly how long it will take. We could guess, but it remains possible that clever insight might find a better, faster, cheaper path.

Because the scope of the problems involved, e.g. searchspace over programs, can be calculated and compared with other similarly structured but solved problems (e.g. narrow AI). And in a very abstract theoretical sense today's desktop computers are probably sufficient for running a fully optimized human-level AGI. And this is a sensible and consistent result -- it should not be surprising that it takes many orders of magnitude more computational power to emulate a computing substrate running a general intelligence (the brain simulated by a supercomputer) than to run a natively coded AGI. Designing the program which implements the native, non-emulative AGI is basically a "clever insight" problem, or perhaps more accurately a large series of clever insights.

Making a brain emulation machine requires (1) the ability to image a brain at sufficient resolution, and (2) computing power in excess of the largest supercomputers available today. Both of these tasks are things which require a long engineering lead time and commitment of resources, and are not things which we expect to solved by some clever insight. Clever insight alone won't ever enable you construct record-setting supercomputers out of leftover hobbyist computer parts, toothpicks, and superglue.

Can you elaborate?