Book Reviews

Book review: The Age of Em: Work, Love and Life when Robots Rule the Earth, by Robin Hanson.

This book analyzes a possible future era when software emulations of humans (ems) dominate the world economy. It is too conservative to tackle longer-term prospects for eras when more unusual intelligent beings may dominate the world.

Hanson repeatedly tackles questions that scare away mainstream academics, and gives relatively ordinary answers (guided as much as possible by relatively standard, but often obscure, parts of the academic literature).

Assumptions

Hanson’s scenario relies on a few moderately controversial assumptions. The assumptions which I find most uncertain are related to human-level intelligence being hard to understand (because it requires complex systems), enough so that ems will experience many subjective centuries before artificial intelligence is built from scratch. For similar reasons, ems are opaque enough that it will be quite a while before they can be re-engineered to be dramatically different.

Hanson is willing to allow that ems can be tweaked somewhat quickly to produce moderate enhancements (at most doubling IQ) before reaching diminishing returns. He gives somewhat plausible reasons for believing this will only have small effects on his analysis. But few skeptics will be convinced.

Some will focus on potential trillions of dollars worth of benefits that higher IQs might produce, but that wealth would not much change Hanson’s analysis.

Others will prefer an inside view analysis which focuses on the chance that higher IQs will better enable us to handle risks of superintelligent software. Hanson’s analysis implies we should treat that as an unlikely scenario, but doesn’t say what we should do about modest probabilities of huge risks.

Another way that Hanson’s assumptions could be partly wrong is if tweaking the intelligence of emulated Bonobos produces super-human entities. That seems to only require small changes to his assumptions about how tweakable human-like brains are. But such a scenario is likely harder to analyze than Hanson’s scenario, and it probably makes more sense to understand Hanson’s scenario first.

Wealth

Wages in this scenario are somewhat close to subsistence levels. Ems have some ability to restrain wage competition, but less than they want. Does that mean wages are 50% above subsistence levels, or 1%? Hanson hints at the former. The difference feels important to me. I’m concerned that sound-bite versions of book will obscure the difference.

Hanson claims that “wealth per em will fall greatly”. It would be possible to construct a measure by which ems are less wealthy than humans are today. But I expect it will be at least as plausible to use a measure under which ems are rich compared to humans of today, but have high living expenses. I don’t believe there’s any objective unit of value that will falsify one of those perspectives [1].

Style / Organization

The style is more like a reference book than a story or an attempt to persuade us of one big conclusion. Most chapters (except for a few at the start and end) can be read in any order. If the section on physics causes you to doubt whether the book matters, skip to chapter 12 (labor), and return to the physics section later.

The style is very concise. Hanson rarely repeats a point, so understanding him requires more careful attention than with most authors.

It’s odd that the future of democracy gets less than twice as much space as the future of swearing. I’d have preferred that Hanson cut out a few of his less important predictions, to make room for occasional restatements of important ideas.

Many little-known results that are mentioned in the book are relevant to the present, such as: how the pitch of our voice affects how people perceive us, how vacations affect productivity, and how bacteria can affect fluid viscosity.

I was often tempted to say that Hanson sounds overconfident, but he is clearly better than most authors at admitting appropriate degrees of uncertainty. If he devoted much more space to caveats, I’d probably get annoyed at the repetition. So it’s hard to say whether he could have done any better.

Conclusion

Even if we should expect a much less than 50% chance of Hanson’s scenario becoming real, it seems quite valuable to think about how comfortable we should be with it and how we could improve on it.

Footnote

[1] – The difference matters only in one paragraph, where Hanson discusses whether ems deserve charity more than do humans living today. Hanson sounds like he’s claiming ems deserve our charity because they’re poor. Most ems in this scenario are comfortable enough for this to seem wrong.

Hanson might also be hinting that our charity would be effective at increasing the number of happy ems, and that basic utilitarianism says that’s preferable to what we can do by donating to today’s poor. That argument deserves more respect and more detailed analysis.

Book review: Probably Approximately Correct: Nature’s Algorithms for Learning and Prospering in a Complex World, by Leslie Valiant.

This book provides some nonstandard perspectives on machine learning and evolution, but doesn’t convince me there’s much advantage to using those perspectives. I’m unsure how much of that is due to his mediocre writing style. He often seems close to saying something important, but never gets there.

He provides a rigorous meaning for the concept of learnability. I suppose that’s important for something, but I can’t recall what.

He does an ok job of explaining how evolution is a form of learning, but Eric Baum’s book What is Thought? explains that idea much better.

The last few chapters, where he drifts farther from his areas of expertise, are worse. Much of what he says there only seems half-right at best.

One example is his suggestion that AI researchers ought to put a lot of thought into how teaching materials are presented (similar to how schools are careful to order a curriculum, from simple to complex concepts). I doubt that that reflects a reasonable model of human learning: children develop an important fraction of their intelligence before school age, with little guidance for the order in which they should learn concepts (cf. Piaget’s theory of cognitive development); and unschooled children seem to choose their own curriculum.

My impression of recent AI progress suggests that a better organized “curriculum” is even farther from being cost-effective there – progress seems to be coming more from better ways of incorporating unsupervised learning.

I’m left wondering why anyone thinks the book is worth reading.

Book review: The Midas Paradox: Financial Markets, Government Policy Shocks, and the Great Depression, by Scott B Sumner.

This is mostly a history of the two depressions that hit the U.S. in the 1930s: one international depression lasting from late 1929 to early 1933, due almost entirely to problems with an unstable gold exchange standard; quickly followed by a more U.S.-centered depression that was mainly caused by bad labor market policies.

It also contains some valuable history of macroeconomic thought, doing a fairly good job of explaining the popularity of theories that are designed for special cases (such as monetarism and Keynes’ “general” theory).

I was surprised at how much Sumner makes the other books on this subject that I’ve read seem inadequate.
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Book review: The Human Advantage: A New Understanding of How Our Brain Became Remarkable, by Suzana Herculano-Houzel.

I used to be uneasy about claims that the human brain was special because it is large for our body size: relative size just didn’t seem like it could be the best measure of whatever enabled intelligence.

At last, Herculano-Houzel has invented a replacement for that measure. Her impressive technique for measuring the number of neurons in a brain has revolutionized this area of science.

We can now see an important connection between the number of cortical neurons and cognitive ability. I’m glad that the book reports on research that compares the cognitive abilities of enough species to enable moderately objective tests of the relevant hypotheses (although the research still has much room for improvement).

We can also see that the primate brain is special, in a way that enables large primates to be smarter than similarly sized nonprimates. And that humans are not very special for a primate of our size, although energy constraints make it tricky for primates to reach our size.

I was able to read the book quite quickly. Much of it is arranged in an occasionally suspenseful story about how the research was done. It doesn’t have lots of information, but the information it does have seems very new (except for the last two chapters, where Herculano-Houzel gets farther from her area of expertise).

Added 2016-08-25:
Wikipedia has a List of animals by number of neurons which lists the long-finned pilot whale as having 37.2 billion cortical neurons, versus 21 billion for humans.

The paper reporting that result disagrees somewhat with Herculano-Houzel:

Our results underscore that correlations between cognitive performance and absolute neocortical neuron numbers across animal orders or classes are of limited value, and attempts to quantify the mental capacity of a dolphin for cross-species comparisons are bound to be controversial.

But I don’t see much of an argument against the correlation between intelligence and cortical neuron numbers. The lack of good evidence about long-finned pilot whale intelligence mainly implies we ought to be uncertain.

Book review: The Secret of Our Success: How Culture Is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter, by Joseph Henrich.

This book provides a clear explanation of how an ability to learn cultural knowledge made humans evolve into something unique over the past few million years. It’s by far the best book I’ve read on human evolution.

Before reading this book, I thought human uniqueness depended on something somewhat arbitrary and mysterious which made sexual selection important for human evolution, and wondered whether human language abilities depended on some lucky mutation. Now I believe that the causes of human uniqueness were firmly in place 2-3 million years ago, and the remaining arbitrary events seem much farther back on the causal pathway (e.g. what was unique about apes? why did our ancestors descend from trees 4.4 million years ago? why did the climate become less stable 3 million years ago?)

Human language now seems like a natural byproduct of previous changes, and probably started sooner (and developed more gradually) than many researchers think.

I used to doubt that anyone could find good evidence of cultures that existed millions of years ago. But Henrich provides clear explanations of how features such as right-handedness and endurance running demonstrate important milestones in human abilities to generate culture.

Henrich’s most surprising claim is that there’s an important sense in which individual humans are no smarter than other apes. Our intellectual advantage over apes is mostly due to a somewhat special-purpose ability to combine our individual brains into a collective intelligence. His evidence on this point is weak, but it’s plausible enough to be interesting.

Henrich occasionally exaggerates a bit. The only place where that bothered me was where he claimed that heart attack patients who carefully adhered to taking placebos were half as likely to die as patients who failed to reliably take placebos. The author wants to believe that demonstrates the power of placebos. I say the patient failure to take placebos was just a symptom of an underlying health problem (dementia?).

I’m a bit surprised at how little Robin Hanson says about the Henrich’s main points. Henrich suggests that there’s cultural pressure to respect high-status people, for reasons that are somewhat at odds with Robin’s ally/coalition based reasons. Henrich argues that knowledge coming from high-status people, at least in hunter-gatherer societies, tended to be safer than knowledge from more directly measurable evidence. The cultural knowledge that accumulates over many generations aggregates information that could not be empirically acquired in a short time.

So Henrich implies it’s reasonable for people to be confused about whether evidence based medicine embodies more wisdom than eminence based medicine. Traditional culture has become less valuable recently due to the rapid changes in our environment (particularly the technology component of our environment), but cultures that abandoned traditions too readily were often hurt by consequences which take decades to observe.

I got more out of this book than a short review can describe (such as “How Altruism is like a Chili Pepper”). Here’s a good closing quote:

we are smart, but not because we stand on the shoulders of giants or are giants ourselves. We stand on the shoulders of a very large pyramid of hobbits.

Book review: The Sense of Style: The Thinking Person’s Guide to Writing in the 21st Century, by Steven Pinker.

Pinker provides great examples of readable writing, and insights about what styles are easy to read.

But the book is more forgetable than Sense of Structure (which covers similar subjects). Sense of Structure is more valuable because it’s more oriented toward training its readers.

Sense of Structure focuses on how to improve mediocre sentences that I might have been tempted to write. Pinker devotes a bit too much attention to making fun of bad sentences that don’t hold my attention because they don’t look similar enough to mediocre sentences which I might write.

There difference in style between the two books is modest, but modest differences matter for tasks such as this which take a good deal of willpower to master.

Hive Mind

Book review: Hive Mind: How your nation’s IQ matters so much more than your own, by Garett Jones.

Hive Mind is a solid and easy to read discussion of why high IQ nations are more successful than low IQ nations.

There’s a pretty clear correlation between national IQ and important results such as income. It’s harder to tell how much of the correlation is caused by IQ differences. The Flynn Effect hints that high IQ could instead be a symptom of increased wealth.

The best evidence for IQ causing wealth (more than being caused by wealth) is that Hong Kong and Taiwan had high IQs back in the 1960s, before becoming rich.

Another piece of similar evidence (which Hive Mind doesn’t point to) is that Saudi Arabia is the most conspicuous case of a country that became wealthy via luck. Its IQ is lower than countries of comparable wealth, and lower than neighbors of similar culture/genes.

Much of the book is devoted to speculations about how IQ could affect a nation’s success.

High IQ is associated with more patience, probably due to better ability to imagine the future:

Imagine two societies: one in which the future feels like a dim shadow, the other in which the future seems a real as now. Which society will have more restaurants that care about repeat customers? Which society will have more politicians who turn down bribes because they worry about eventually getting caught?

Hive Mind describes many possible causes of the Flynn Effect, without expressing much of a preference between them. Flynn’s explanation still seems strongest to me. The most plausible alternative that Hive Mind mentions is anxiety and stress from poverty-related problems distracting people during tests (and possibly also from developing abstract cognitive skills). But anxiety / stress explanations seem less likely to produce the Hong Kong/Taiwan/Saudi Arabia results.

Hive Mind talks about the importance of raising national IQ, especially in less-developed countries. That goal would be feasible if differences in IQ were mainly caused by stress or nutrition. Flynn’s cultural explanation points to causes that are harder for governments or charities to influence (how do you legislate an increased desire to think abstractly?).

What about the genetic differences that contribute to IQ differences? The technology needed to fix that contributing factor to low IQs is not ready today, but looks near enough that we should pay attention. Hive Mind implies [but avoids saying] that potentially large harm from leaving IQ unchanged could outweigh the risks of genetic engineering. Fears about genetic engineering of IQ often involve fears of competition, but Hive Mind shows that higher IQ means more cooperation. More cooperation suggests less war, less risk of dangerous nanotech arms races, etc.

It shouldn’t sound paradoxical to say that aggregate IQ matters more than individual IQ. It should start to seem ordinary if more people follow the example of Hive Mind and focus more attention on group success than on individual success as they relate to IQ.

Book review: The Eureka Factor: Aha Moments, Creative Insight, and the Brain, by John Kounios and Mark Beeman.

This book shows that insight and analysis are different modes of thought, and that small interventions can influence how insightful we are. It’s done in a clearly analytical (not insightful) style.

They devote a good deal of effort to demonstrating that the two modes of thought differ in more ways than simply how people report them. It’s unclear why that would surprise anyone now that behaviorism is unpopular. Nor is it clear what use we can make of evidence that different parts of the brain are involved in the two modes.

I’m mildly impressed that researchers are able to objectively measure insight at all. They mostly study word problems that can be solved on something like 30 seconds. They provide some hints that those experiments study the same patterns of thought that are used to solve big tasks that simmer in our subconscious for days. But there’s some risk that the research is overlooking something unique to those harder problems.

The “creativity crisis” could have been an important part of the book. But their brief explanation is to blame the obvious suspects: environments of constant stimulation due to social media, cellphones, games, etc.

One problem with that explanation is that the decline in creativity scores since 1990 is strongest in kindergartners through 3rd graders. I don’t find it very plausible that they’ve experienced a larger increase in those hyper-stimuli than older kids have.

It’s almost as if the authors got their understanding of the alleged crisis from a blog post rather than from the peer reviewed article that they cite.

The peer reviewed article suggests a better explanation: less time for free play.

Outdoor activity activity is valuable, according to the book, at least for short-term changes in whether our mood is creative. The “crisis” could be due to less recess time at school and a decline in free-range parenting. Were the tests taken shortly after a recess up through 1990, and taken after hours of lectures more recently? If so, the decline in measured creativity would reflect mostly short-term mood changes, leaving me uncertain whether I should worry about longer lasting effects.

The book provides some advice for being more insightful. It has caused me to schedule tasks that might require creativity after moderate hikes, or earlier in the day than I previously did.

The book has made me more likely to try applying ideas from the CFAR Againstness class to inducing creative moods.

The book hints at lots of room for computer games to promote a more insightful mood than the typical game does (e.g. via requiring players to expand their attention to fill the screen). But the authors aren’t very helpful at suggesting ways to identify games that are more insight-compatible. The closest I’ve come to practical ideas about games is that I ought to replace them when possible with fiction that promotes far-mode thinking(i.e. fantasy and science fiction).

My intuition says that insight research is still in its infancy, and that we should hope for better books in this category before long.

Book review: The Myth of Mirror Neurons: The Real Neuroscience of Communication and Cognition, by Gregory Hickok.

This book criticizes hype from scientists and the media about embodied cognition, mirror neurons, and the differences between the left and right brain hemispheres. Popular accounts of these ideas contain a little bit of truth, but most versions either explain very little or provide misleading explanations.

A good deal of our cognition is embodied in the sense that it’s heavily dependent on sensory and motor activity. But we have many high-level thoughts that don’t fit this model well, such as those we generate when we don’t have sensory or motor interactions that are worth our attention (often misleading called a “resting state”).

Humans probably have mirror neurons. They have some value in helping us imitate others. But that doesn’t mean they have much affect on our ability to understand what we’re imitating. Our ability to understand a dog wagging its tail isn’t impaired by our inability to wag our tails. Parrots’ ability to imitate our speech isn’t very effective at helping them understand it.

Mirror neurons have also been used to promote the “broken mirror theory” of autism (with the suggestion that a malfunction related to mirror neurons impairs empathy). Hickok shows that the intense world hypothesis (which I’ve blogged about before) is more consistent with the available evidence.

The book clarified my understanding of the brain a bit. But most of it seems unimportant. I had sort of accepted mild versions of the mirror neuron and left-brain, right brain hype, but doing so didn’t have any obvious effects on my other beliefs or my actions. It was only at the book’s end (discussing autism) that I could see how the hype might matter.

Most of the ideas that he criticizes don’t do much harm, because they wouldn’t pay much rent if true. Identifying which neurons do what has negligible effect on how I model a person’s mind unless I’m doing something unusual like brain surgery.

Book review: War! What Is It Good For?: Conflict and the Progress of Civilization from Primates to Robots, by Ian Morris.

This book’s main argument can be broken down into two ideas:

  1. War creates powerful leviathans and occasionally globocops.
  2. The resulting monopoly on the use of violence is important for (or necessary to) creating low-violence societies.

(2) overlaps a lot with Pinker’s The Better Angels of Our Nature. Pinker’s version is sufficiently better that reading Morris’ version adds little value.

(1) is an old idea (“war is the health of the state”) that seems mildly controversial in its stronger versions. But Morris is relatively cautious here, admitting that many wars were destructive.

He goes around labeling many wars as productive or not, in a way that had me wondering whether he thought that was observable while the wars were in progress. When he got to World War II, it became clear that he considered that at least sometimes impossible: World War I initially looked harmful (ruining Britain’s globocop status), but when seen in combination with World War II he is able to classify it as productive (enabling the US to become a globocop).

Morris sometimes hints at a stronger version of (1) that would say leviathans or equivalent civilizing institutions couldn’t have been created without war. Morris never attempts to make much of an argument for such a strong claim. He does provide some arguments for the hypothesis that wars sped up the creation of peace-keeping leviathans. Whether that makes some wars good depends heavily on what would have happened without those wars, and Morris provides little insight about that.

If Morris were interested in testing his claims, wouldn’t he have discussed Switzerland? Swiss involvement in war over the past 200 years seems to consist of just a civil war in November 1847 with fewer than 100 deaths. Morris’ beliefs seem to imply Switzerland has lots of violence, yet Swiss homicide rates are unusually low (lower than the rest of western Europe). Maybe responding sensibly to the threat of war provides the benefits that Morris talks about, with few of the costs?

Much the book’s claims seem reasonable: wars did have some tendency to create stronger leviathans, and those leviathans did have some peace-keeping benefits. Yet those claims don’t come close to demonstrating the existence of “productive war”.