Showing posts with label human evolution. Show all posts
Showing posts with label human evolution. Show all posts

Friday, September 26, 2025

Evolved mental errors that underlie our current cultural and political malaise

I recently looked back at a book I read in 2019, “ Factfulness: Ten Reasons We're Wrong About the World--and Why Things Are Better Than You Think” written by Hans Rosling together with his son and daughter, and published in early 2018 

I did four MindBlog posts of clips from this book in April 2019 to encapsulate what he calls our 10 'basic instincts' - instinctual mental errors that we make - as an exercise to help imprint them in my memory and make me less likely to perform the errors described. I've refreshed by recall of these central drivers of our current contentious times by consolidating the contents of those 2019 MindBlog posts and repeat them here:


The Gap Instinct (Chapter 1) - the irresistible temptation we have to divide all kinds of things into two distinct and often conflicting groups, with an imagined gap—a huge chasm of injustice—in between (as in rich vs. poor, us vs. them). The reality is often not polarized at all. Usually the majority is right there in the middle, where the gap is supposed to be. To control the gap instinct, look for the majority.


The Negativity Instinct (Chapter 2) - ...information about bad events is much more likely to reach us. When things are getting better we often don’t hear about them, gradual improvement is not news. This gives us a systematically too-negative impression of the world around us, which is very stressful. To control the negativity instinct, expect bad news. More bad news is sometimes due to better surveillance of suffering, not a worsening world. Beware of rosy pasts. People often glorify their early experiences, and nations often glorify their histories.


The Straight Line Instinct (Chapter 3) - ..straight lines are rare in reality, remember that curves come in different shapes, many trends do not follow straight lines but are S-bends, slides, humps, or doubling lines. Not child ever kept up the rate of growth it achieved in its first six months, and no parents would expect it to. World population will be stabilizing in the next 50-100 years as birth and death rates become equal. 




The Fear Instinct (Chapter 4) - Frightening things get our attention, but remember that these are not necessarily the most risky. Our natural fears of violence, captivity, and contamination make us systematically overestimate these risks. To control the fear instinct, calculate the risks. The world seems scarier than it is because what you hear about it has been selected—by your own attention filter or by the media—precisely because it is scary. The risk something poses to you depends not on how scared it makes you feel, but on a combination of two things. How dangerous is it? And how much are you exposed to it? Get calm before you carry on. When you are afraid, you see the world differently. Make as few decisions as possible until the panic has subsided.


The Size Instinct (Chapter 5) - When a lonely number seems impressive (small or large), remember that you could get the opposite impression if it were compared with or divided by some other relevant number. To control the size instinct, get things in proportion. Single numbers on their own are misleading and should make you suspicious. Always look for comparisons. Ideally, divide by something. The 80/20 rule. Have you been given a long list? Look for the few largest items and deal with those first. They are quite likely more important than all the others put together. Divide: Amounts and rates can tell very different stories. Rates are more meaningful, especially when comparing between different-sized groups. In particular, look for rates per person when comparing between countries or regions.


The Generalization Instinct (chapter 6) Remember that categories can be misleading. We can’t stop generalization and we shouldn’t even try. What we should try to do is to avoid generalizing incorrectly. To control the generalization instinct, question your categories. Look for differences within groups. Especially when the groups are large, look for ways to split them into smaller, more precise categories. And, look for similarities across groups. If you find striking similarities between different groups, consider whether your categories are relevant. But also, look for differences across groups. Do not assume that what applies for one group (e.g., you and other people living on income Level 4 or unconscious soldiers) applies for another (e.g., people not living on income Level 4 or sleeping babies). Beware of “the majority.” The majority just means more than half. Ask whether it means 51 percent, 99 percent, or something in between. Beware of vivid examples. Vivid images are easier to recall but they might be the exception rather than the rule. Assume people are not idiots. When something looks strange, be curious and humble, and think, In what way is this a smart solution?


The Destiny Instinct (Chapter 7) - Many things (including people, countries, religions, and cultures) appear to be constant just because the change is happening slowly. Remember that even small, slow changes gradually add up to big changes. To control the destiny instinct, remember slow change is still change. Keep track of gradual improvements. A small change every year can translate to a huge change over decades. Update your knowledge. Some knowledge goes out of date quickly. Technology, countries, societies, cultures, and religions are constantly changing. Talk to Grandpa. If you want to be reminded of how values have changed, think about your grandparents’ values and how they differ from yours. Collect examples of cultural change. Challenge the idea that today’s culture must also have been yesterday’s, and will also be tomorrow’s.


The Single Perspective Instinct (Chapter 8) - Recognize that a single perspective can limit your imagination, and remember that it is better to look at problems from many angles to get a more accurate understanding and find practical solutions. To control the single perspective instinct, get a toolbox, not a hammer. Test your ideas. Don’t only collect examples that show how excellent your favorite ideas are. Have people who disagree with you test your ideas and find their weaknesses. Don’t claim expertise beyond your field: be humble about what you don’t know. Be aware too of the limits of the expertise of others. If you are good with a tool, you may want to use it too often. If your favorite idea is a hammer, look for colleagues with screwdrivers, wrenches, and tape measures. Be open to ideas from other fields. The world cannot be understood without numbers, and it cannot be understood with numbers alone. Love numbers for what they tell you about real lives. Beware of simple ideas and simple solutions. History is full of visionaries who used simple utopian visions to justify terrible actions. Welcome complexity. Combine ideas. Compromise. Solve problems on a case-by-case basis.

The Blame Instinct (Chapter 9) - Recognize when a scapegoat is being used and remember that blaming an individual often steals the focus from other possible explanations and blocks our ability to prevent similar problems in the future. To control the blame instinct, resist finding a scapegoat. Look for causes, not villains. When something goes wrong don’t look for an individual or a group to blame. Accept that bad things can happen without anyone intending them to. Instead spend your energy on understanding the multiple interacting causes, or system, that created the situation. Look for systems, not heroes. When someone claims to have caused something good, ask whether the outcome might have happened anyway, even if that individual had done nothing. Give the system some credit.


The Urgency Instinct (Chapter 10) - Recognize when a situation feels urgent and remember that it rarely is. To control the urgency instinct, take small steps. Take a breath. When your urgency instinct is triggered, your other instincts kick in and your analysis shuts down. Ask for more time and more information. It’s rarely now or never and it’s rarely either/or. Insist on the data. If something is urgent and important, it should be measured. Beware of data that is relevant but inaccurate, or accurate but irrelevant. Only relevant and accurate data is useful. Beware of fortune-tellers. Any prediction about the future is uncertain. Be wary of predictions that fail to acknowledge that. Insist on a full range of scenarios, never just the best or worst case. Ask how often such predictions have been right before. Be wary of drastic action. Ask what the side effects will be. Ask how the idea has been tested. Step-by-step practical improvements, and evaluation of their impact, are less dramatic but usually more effective.

Wednesday, September 24, 2025

Could humans and AI become a new evolutionary individual?

This PNAS opinion piece (open source) by Rainey and Hochberg is well worth a read.  It suggests that as different AI implementations suffuse into cultures, current competition between different cultures could evolve into accelerating competition between different culture - AI hybrids.  I pass on the introductory paragraphs to their arguments:

Artificial intelligence (AI)—broadly defined as the capacity of engineered systems to perform tasks that would require intelligence if done by humans—is increasingly embedded in the infrastructure of human life. From personalized recommendation systems to large-scale decision-making frameworks, AI shapes what humans see, choose, believe, and do (1, 2). Much of the current concern about AI centers on its understanding, safety, and alignment with human values (35). But alongside these immediate challenges lies a broader, more speculative, and potentially more profound question: could the deepening interdependence between humans and AI give rise to a new kind of evolutionary individual? We argue that as interdependencies grow, humans and AI could come to function not merely as interacting agents, but as an integrated evolutionary individual subject to selection at the collective level.

Lessons from the History of Life

The theory of major evolutionary transitions (METs) provides a framework for understanding this possibility (6). METs have punctuated the history of life. Those of particular relevance to our thesis here are those involving transitions in individuality. Such transitions are defined by events in which lower-level autonomous units—such as genes, cells, or organisms—become components of a higher-level individual subject to selection as a whole (7). Examples include the evolution of chromosomes from independent genes, multicellular organisms from single cells, and eusocial colonies from solitary ancestors (8). A particularly instructive case for our purposes is the eukaryotic cell, which arose from the integration of two ancient microbes—an archaeon and a eubacterium (9).*
 
To better understand the evolution of human–AI interactions, consider a globally embedded system: diffuse in structure, nonreplicating, yet unified in function. Such a system might emerge not by design alone, but via competitive, economic, or ecological pressures (10), selected for its capacity to integrate, persist, and coordinate across human networks. Initially shaped by human design and deployment, this AI could become embedded across societal and cultural infrastructures—advising, mediating, and responding. This would entail a persistent informational presence that learns from humanity and, in turn, comes to shape it. Importantly, even if yet incapable of autonomous replication, such an AI is likely to modify its own code in response to environmental feedback.