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Saving the World

Wednesday, September 18, 2019

What do we know about war as population control or predictable outcome of uncontrolled growth?

Many space people (Musk?) have proposed that a New Frontier is what we need to avoid the Malthusian growth and collapse which we have seen in dozens of promising human civilizations through the years.

As the left and right fight it out, I have once again proposed that the truth lies in the middle, and demands that we use our brains a lot more to have any real hope to avoid extinction. Forst, what I said to them:

=====================================



... wrote:
of the tribe are present in their female children.  Thus genes *for*
going to war were selected at close to 40% per generation.  This is a
very high genetic selection, we should expect it to be nearly
universal.

Depressing, but evolutionary psychology analysis is often depressing.
It's so depressing that I have never finished an article on it.
But if someone wants to see a draft, ask.

This is an important area. There are many areas where I have figured out ways to "get out of the box" of rigid, thoughtless assumptions... but not enough time to wfrite them all up. Therefore I have often sought collaborators I could trust, and have even found a few. (See scholar.google.com.) 

This is one of those.

A new way to do evolutionary psychology specifically for human history was one of the two topics I defended in the oral exams for the PhD at Harvard. The faculty was much more interested in the new positions I presented on this, the first topic, but I chose instead the second topic. (The thesis has thousands of citations at scholar.google.com, which gives you some idea why I regretfully neglected the first topic, and why I also stepped down as first Presidnet of Harvard Committee for a Space Economy. I am so grateful that Mark Hopkins took up THAT  baton.)

The faculty were excited in part because THEY, acknowledged leaders in their diverse fields, learned so much in heated arguments between EACH OTHER, where they learned that the assumptions in one field about another are sometimes wrong. For example, I suggested that the typical lifetime of human civilizations (a few centuries, citing folks like Toynbee and Spengler and Eisenstadt and many others) is similar to the seven to twelve generations which are enough to cause huge changes in the genes for social behavior, reflected in part in books like E.O. Wilson's classic text Sociobiology. (In my view, that is STILL a fundamental, seminal source, cited less lately because of simple stupid political correctness pressures. I am tempted to say more about those, but let me wait until it seems more appropriate.) Ed Bossert, a sometime collaborator with Wilson, explained to my advisor (Karl Deutsch) that six to twelve is a very precise number, backed up by a huge mass of experiments, quite different from conventional wisdom in fields like political science. As Wilson says, there are multiple time scales at work here. Wilson did not understand the brain or culture learning dynamics as well as some of us now do (as in my ACTUAL thesis topic!), but that does not wipe out the huge value of the insights he DID include.

Keith mentions depressing conclusions. Yes, it is a major challenge how to rise above those scary things -- but, as with climate change, the best way to reduce the probability of bad outcomes is to understand WHY they happen so often. AFTER one takes a lot of time and effort to understand it right, without stupid ego defenses getting in the way and stimulating stupid reactive guessing left or right. 

Depressing?

Beyond E.O. Wilson, another seminal source (still deeply respected) is the book Stability and Complexity in Model Ecosystems, which came as a huge shock when it came out.
MOST ecological networks lead to massive crises and extinctions. We don't see that so much now in nature because so many extinctions have ALREADY occurred, and things did not change SO much after that.

Well, folks, things have changed and are still changing now, massively. In my view, we either use our full brains (yes, including space development, but also including some of the other stuff Barbara Marx Hubbard sensed), or we have little chance of surviving the many emerging threats becoming ever more real every day. (As I type this, I see news in the background of Iran joyously sending autonomous new weapons to folks like Houthis to threaten the world oil price. Just a hint of what may be to come. Is it impolite to describe what the IRG is?)

But a New Frontier is not enough, for the moderate long term. One reason why I did not choose this topic was that I knew I was missing something. Now I have a better idea of what.
At ONE important level, it comes down to nonzerosum n-player games, like what Von Neumann and T.C. Schelling described. It comes down to something LIKE a certain kind of social contract or immune system. It IS possible in principle, but it is not easy. Do enough people really care and understand? 

But this email is probably too long for this list already, as it does address a different subject. 

Best of luck. We all need it.

=============================

Addendum: At Facebook, I have posted several posts with links on what I learned about this subject in many cruises 
and treks through the Pacific and Latin America. MANY societies had terrible Malthusian collapses, but viable new social contracts 
based on visible, transparent new social contracts offering honorable competition on a new "worldview" foundations often worked very well.
Better management of new emerging IT (from  cryptocurrencies to information to weapons, with new security mechanisms) 
and global climate threats, COULD WORK if we face up to the need for cooperation of the most important powers. 
"Smart brains and apps,smarter integrative platforms, and clear simpler 'immune system' rules for everyone." 
New technical standards for IT to make it real, and to safeguard the fuzzy broader concerns we hear of from governments all around the world.
If regulation of IT is managed like the tax code, we all die.

ReplyReply allForward
Posted by Dr. PaulJohnW at 1:43 PM No comments:

Tuesday, September 10, 2019

To EU and E Warren: is a sledgehammer the way to fix google etc?

Finally people start to realize that massive changes in the world internet have just begun, and that massive problems could emerge if we don't develop a better system of cooperation. The EU has promised to develop a global regulation system to control AI, and Warren says she will just break up Google, Amazon and Facebook.

There really are many lethal problems moving fast, but do any of these folks have any idea how to fix them?

I keep being haunted by an image on an unshaven auto mechanic wielding a huge hammer, saying: "I ain't no engineer. I don't know how cars work. but I sure can fix YOURS but good.."

======

In parallel with that, there are a few discussions starting up about how one could do it right.
Here is one example:

A really crucial issue here is metrics, and truth in metrics.

My wife has told me more about "B" corporations, which do not HAVE to be organized around maximum
profit. I hope SEC allows that, not just some states. From what I have seen of oil company shareholder meetings in the UK (well publicized for good reason in FT), THEY have big and powerful shareholders who want a strong signal that a weighted sum of profit (however measured) AND climate change benefit is what they want, at a minimum, starting ASAP, because a lot of people might suffer if we don't get going, in the opinion of those (well informed) shareholders.

THIS IS NOT JUST a cause in itself, but a great TESTBED example of structural changes needed to really accomplish stuff like that.

For IT folks:

What would be needed to allow creation of a new corporate "spreadsheet" (or"blockchain" or certified ledger) with entries which predict LONG-TERM benefits to reducing risk for climate change?

Short term measures just won't do the job (e,g, allow sustainablepolicies to results), because myopic measures like the number of solar panels on roofs tend to force BAD, counterproductive decisions. (For electricity in Europe, better than solar panels in houses in the north would be big well-designed solar farms in southern Europe hooked up by new transmission, giving Germany the HUGE side benefit of redirecting money for loans or governments to money which buys them electricity and creates real jobs in the South.) 

=======

SINCE the world IS going to change very massively in the next decade or two, due to new IT far beyond the wimpy zero generation "AI" which you see in the press these days, we need to think more clearly and concretely about what the possibilities MIGHT be like,
grounded in the more advanced new technology. 

I will soon recommend that anyone interested in these transitions read Schoeder's new sci fi,Stealing Worlds. I am only 100 pages in, 
and may or may not end up agreeing with the final conclusions (even he misses some important stuff), it includes many possibilities which we need to account for. I was amused by discussion of a new platform (used by only a few companies) where an AI runs an entire company instead of the CEO. (After all, of shareholders do not NEED a CEO...).

No, that would not be a face recognition program. (Some versions of Watson IOT sound exactly that dumb. My slides at www.werbos.com/IT_big_picture.pdf depict a few options relevant to corporations and larger systems, which some folks tried to take over big parts of the US government, folks who still try.) It would be a decision-making system. Alpha Go is a very simple decision system, but MUCH more powerful are in the works, some in use.

But good decisions by human, by AI, or by some kind of conglomerate (designed how?), require FORESIGHT. 

In fact, the time-series kinds of networks which can offer that (with probabilities and scenarios etc)are important to HUMANS as well, since they are crucial to accurate "state identification," and even to humans learning what was FOUND in massive data trawling exercises. 
If people's data disappears into a black hole, and is not input to networks trained to output TRUTH... there are many sinkholes ahead of us in the unregulated IT world. Is truth essential both to automated corporate spreadsheets and to preserving the full rights of consumers and workers? And how do we enforce truth in those neural networks or hybrid neural/human networks?

Of course, the management of short-term performance metrics (not the same as long term bottom line larger scale goals) is also a challenge requiring lots of training and truth.

Many old style AI folks want to go back to digital expert systems using Boolean words for the next big step. That won't work, but DIALOGUE with humans is a key element as well. It is an interesting question what LEVEL of AGI should be used/allowed for now in such functions.

Best of luck,

    Paul 
============

My old alumni association cites an editorial on the problem of truth in news:
https://www.wsj.com/articles/impartiality-is-the-source-of-a-newspapers-credibility-11568109602

This is just one of the many serious manifestations of the issue of designing truthful networks.
Of course, the folks who deduce things about YOU from YOUR data is also serious.

Posted by Dr. PaulJohnW at 10:24 AM No comments:

Sunday, September 1, 2019

climate threats as a testbed for new AI to cope with pervasive fake news

People have asked: Why should we feel any need for any change in corporate management laws, structures and culture, even as new IT
is about to change it all not just with local apps but with the overall system and its metrics?

I don't believe that climate change is the number one threat to human life, or that the changes should all be about climate change,but it IDS part of the picture, and it is a beautifully clear example of the LIMITATIONS of today's information networks. If we want to think realistically about how to design (more intelligent) information networks, it is good engineering practice to think in realistic concrete terms about how the present networks are screwing up.

And so, here is an example which haunts me. A top engineer made some comments about climate change which I replied to as follows:

=======================================
When climate was the main part of my job (working for Senator Specter in 2009, on loan from NSF),I was amazed to have close contact BOTH to:

(1) the folks funded by the oil and gas lobbyists pushing hard to tell us that warming of the poles is a myth;
(2) the planners for the oil industry, putting billions into new efforts to take advantage of the huge opportunities of the ice-free Arctic coming soon,
asking for billions in policy support to make sure WE get the good stuff before our competitors do.

That reminds me somehow of a hearing where people asked for support to sequester CO2 by piping it at high pressure into chambers deep in the ground. "This is absolutely safe; we have proven it," When asked what they need most:"We need federal guarantees that the government will bear the cost when it escapes and explodes." (There are better ways to handle CO2, but there was more money in lobbies trying to extract more money from the taxpayer.)

As for all those fires raging out of control in the Amazon, are they just a sign that Bolsonaro is an obnoxious person with evil capitalist policies? Even if that is PART of the story, is it really the whole thing? Proudly correct people have told me that it is,  but then came Bolivia. And then, somehow missed by our press, is the story of unprecedented new fires across Siberia, more serious than the ones which DID get world shock and press about ten years ago. Could it be that it is a secret cabal of Putin, Bolsonaro and Morales, as the current spirit of  thought seems to suggest? Or could it be that we actually live on planet earth?

===========

In a different discussion, a more visionary engineer pointed me to some important news on the science side:

https://www.forbes.com/sites/priyashukla/2019/08/31/scientists-may-have-discovered-what-caused-one-of-the-planets-worst-extinctions/#74e0b1a63c7c

That represents real progress on the basic science side, reinforcing what I summarized in my vimeo interview about the coming H2S threat, for which we have maps from NOAA from actual data. 

But again, this is just an example. My PhD thesis advisor once wrote a famous book, the Nerves of Government, and I ask: how can we really design neural networks that actually lead to availability of some real information, for situations like this an others? The "fake news" problem is not about hiring censors repressing independent thought, or about Russia interfering with our elections; those are just symptoms of a more fundamental unsolved design problem. 

===========

Posted by Dr. PaulJohnW at 3:57 AM No comments:
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