And how she will use this relation to make safer AI?

Good point, but my question was about what we can do to raise chances that it will be friendly AI.

If we knew that AI will be created by Google, and that it will happen in next 5 years, what should we do?

Advice solicited. Topics of interest I have lined up for upcoming posts include:

• The history of life on Earth and its important developments
• The nature of the last universal common ancestor (REALLY good new research on this just came out)
• The origin of life and the different schools of thought on it
• Another exploration of time in which I go over a paper that came out this summer that basically did exactly what I did a few months earlier with my "Space and Time Part II" calculations of our point in star and planet order that showed we are not early and are right around when you would expect to find the average biosphere, but extended it to types of stars and their lifetimes in a way I think I can improve upon.
• My thoughs on how and why SETI has been sidetracked away from activities that are more likely to be productive towards activities that are all but doomed to fail, with a few theoretical case studies
• My thoughts on how the Fermi paradox / 'great filter' is an ill-posed concept
• Interesting recent research on the apparent evolutionary prerequisites for primate intelligence

Any thoughts on which of these are of particular interest, or other ideas to delve into?

My understanding of the medical value of body scanners comes from watching the TV show House. Given that, wouldn't having lots and lots of these scanners massively increase medical costs by creating many false positives?

Doesn't that sound like my second paragraph?

But there is an assumption here, that childhood IQ predicts adult IQ. In fact, it isn't very good at age 8. The SMPY age of 12 is better, though by no means perfect. When I say "good" or "better" I mean, of course, stability at the center, which might not predict stability at the tails. When SMPY finds that age 12 tests predict life outcomes, they are testing this directly. But what we really want to know is whether the SAT score at age 12 adds information to the low ceiling SAT score at age 17. I think that the SMPY results are strong enough to guarantee that, but I haven't checked.

First of all, IQ tests aren't designed for high IQ, so there's a lot of noise there and this would mainly be noise, if he correctly reported the results, which he doesn't.

Second, there are some careful studies of high IQ (SMPY etc) by taking the well designed SAT test, which doesn't have a very high ceiling for adults and giving it to children below the age of 13. By giving the test to representative samples, they can well characterize the threshold for the top 3%. Using self-selected samples, they think that they can characterize up to 1/10,000. In any event, within the 3% they find increasing SAT score predicts increasing probability of accomplishments of all kinds, in direct contradiction of these claims.

"A Disneyland with no children" apocalypse where optimization competition eliminates any pleasure we get from life.

A hell apocalypse where a large numbers of sentient lifeforms are condemned to very long term suffering possibly in a computer simulation.

My reading of the behavioral genetics literature is that high intelligence being driven by rare autism variants is looking unlikely. DeFries-Fulker extremes analyses like "Thinking positively: The genetics of high intelligence", Shakeshaft et al 2015 aren't consistent with the (relatively) high end being due to rare variants (but are consistent with the low end being due to rare variants) and current attempts to find rare variants enriched in the very high IQ with large effect sizes have turned up nothing: "A genome-wide analysis of putative functional and exonic variation associated with extremely high intelligence", Spain et al 2015. There is also an autism heritability observed in the GCTAs/LD score regression using only common SNPs (>=1% population frequency), along with a positive autism/intelligence genetic correlation, which undermines that idea.

My speculation at this point is that Spearman's law of diminishing returns is - based on all the genetic correlations with intelligence which have piled up and the current trends in brain imaging studies finding brain volume/thickness & global connectivity & white-matter integrity & connection speed to be the best predictors of intelligence - is due to intelligence reflecting a bottleneck between all the regions of the brain communicating to solve problems and that as the global communication becomes closer to optimal due to better health & development, individual specialized brain regions start to become the bottleneck to higher performance and shrinking the g factor.

Can't remember where I saw it, but I think Adams is trying to transition his career to "trusted expert".

He's willing to take the financial hit to make the transition.