The Casual Blog

Tag: AlphaGo

Ice, dark matter, Photoshop, AlphaGo, and Haydn

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The forecast on Friday called for major snow, but in downtown Raleigh we only got a couple of inches.  Still, the roads got very icy and temperatures went down into the teens.  We stayed home, cozy and warm, and caught up on backlogged magazines and Netflix.  

One of the New Year’s thoughts I saw recently was a tough one:  a wish for lots of failure in 2017.  The idea is, if you’re operating outside your comfort zone and trying new things, you’ll be doing some stumbling and falling.  Failure doesn’t usually feel good, but it can be a sign that you’re going somewhere.  On the other hand, if you aren’t having any failures, either you’re the luckiest human in history or you’re stuck.  

One way to assure a level of failure is to try keeping up with contemporary physics.  I’d thought it was reasonably well settled that a quarter or so of the universe was made up of so-far undetected dark matter.  But the BBC  reported last week that after recent failures of big experiments to verify the theory, some reputable scientists are reconsidering.    It sometimes seems that there is so much human knowledge you could never get to the bottom of it, but there is still so much we do not understand.  

Anyhow, I’m looking forward to plenty of failures in the coming year.  In photography, I’ve been struggling to get a thorough working knowledge of the relevant tools in Adobe Lightroom and Photoshop.  They’re wonderful, but far from intuitive, and at times intensely frustrating.

This week I made up my mind to get a level of competence at using Photoshop layers to combine images.  Being iced in gave me a chance to practice, and I discovered many methods that do not work before getting on the right path.

As one of my colleagues recently noted, if you need to know something, you should always try asking Google.  Whatever you need to know, there’s usually already a video or a blog post with an answer on the internet.  This is certainly generally true for Lightroom and Photoshop, though it took several tries to find the necessary guide post for my layers problem.

Speaking of Google, a word of congratulations to the AI researchers at its DeepMind unit for the latest advances of AlphaGo. Go, which is more complex than chess, was until recently well beyond the reach of artificial intelligence.  No more.  AlphaGo, which beat a famous Go master a few months ago, last week took on the world’s top player and other distinguished masters and beat them all, 60 games to nil.   

In the Wall Street Journal’s reportthe vanquished masters seemed stunned by the unconventional and varied style of AlphaGo.  It seemed to have absorbed all existing human Go experience and wisdom, and gone far beyond.  This is exciting, but also scary.  The singularity may be closer than we thought.  

To stay calm and balanced, I recommend listening to some Franz Joseph Haydn (1732-1809).  Perhaps because of so many unsettling current events, I’ve been spending time with his piano trios and string quartets, of which there are many.  This is really charming classical music, which tends to get overshadowed by Mozart.  There are many fine recordings easily available on Spotify.

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Duke blossoms, rising ballerinas, AlphaGo’s victory, and the Age of Artificial Intelligence

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On Saturday morning it was overcast and threatening to rain when I drove over to Durham to see what was blooming at Duke Gardens. Did you know it’s one of the top 10 public gardens in the U.S.? It is certainly a treasure. There were new cherry blossoms, tulips, and many other delights. I shot 234 closeup images with my Nikkor 105 MM macro lens before it began to drizzle. I got a few that revealed aspects I’d never looked at as closely before, and expressed some of my own joy of the season. The images here are all from Duke, except for the daffodils, which I took late Friday afternoon at Fletcher Park.
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That evening we saw the Carolina Ballet with new works by Zalman Raffael and Robert Weiss. Raffael’s new piece was set to Rachmaninoff’s Rhapsody on a Theme by Paganini. As it launched, I worried a little that 24 variations to this familiar music could easily bog down, but far from it: this was a lively, kinetic work that developed organically with continual surprises. Working in the Balanchine tradition, like Weiss, Raffael makes ballets that are abstract but intensely expressive. He’s so accomplished and assured already, and so young!

In the performance we saw, some of the younger company members who normally are in the background stepped into the spotlight, and performed beautifully. I very much enjoyed the subtle elegance of Courtney Schenberger and Rammaru Shindo in Balanchine’s Valse Fantaisie. Ashley Hathaway, with Adam Crawford Chavis, was really sensual and powerful in the adagio Meditation from Thais. Amanda Babayan was a lovely Miranda in Weiss’s Tempest Fantasy. So much talent, developing quickly, like those blossoms. It’s a privilege to receive their art.
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Speaking of surprising progress, this week AlphaGo finished its five game Go match with a popular Korean grandmaster in Seoul, in which it prevailed 4-1. It was a significant moment in the advance of artificial intelligence. I learned the rudiments of Go a few years back. It seems so simple at the very beginning, as you take turns laying single stones, black or while. But it is massively more complex than chess. There are more possible moves than there are atoms in the universe.

Anyhow, I tweeted congratulations to the Google team, though with mixed feelings. The Age of AI is on its way, and the prospects are both good and bad. Computers are mastering tasks that we thought impossible for them a few years ago, like driving, reading MRIs, and reviewing legal documents. In the new Age of AI, there will be safer cars, more reliable medical care, and cheaper legal services. On the down side, a lot of jobs are going to disappear forever. We’re going to need to figure out what to do about having a lot of redundant humans. We’ll probably need to come up with a system with a guaranteed minimum wage, which seems impossible at present from a political perspective.
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But maybe the AI on the way can help with some of our political and mental problems. I’m thinking particularly of our magical thinking – areas where our biases and received ideas prevent us from seeing what’s right in front of us. The drug war is an example. After several decades of being taught that particular plants and chemicals are inherently evil and threatening, and that we need to fight those drugs, we have trouble conceiving of any alternative. It makes no difference that the drug war never moves any closer to victory, and that the human collateral damage is enormous. The facts that do not fit with our long held beliefs are suppressed or ignored.

Climate change denialism is another example of magical thinking. Another one: the Republican mainstream belief that cutting taxes will lead to increased growth, higher tax revenues, and balanced budgets. The New Yorker had a good essay by James Surowiecki this week explaining that decades of evidence now show that, as you might initially expect, cutting taxes leads to lower tax revenue. But current Republican leaders and followers, like those before them, devoutly and streadfastly deny the obvious.
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The WSJ had a must-read essay this week by David Gelernter on AI. Gelernter, a professor of computer science at Yale, argues that the intelligence of our machines will inevitably surpass our own, and we cannot reliably predict what will happen after that. Thinks of machines with IQs of 500, or 5000. They could be dangerous, perhaps viewing us as we view houseplants. Gelernter suggests that in experimenting we exercise the kind of caution we use with biological weapons.

But hey, assuming that the machines do not decide to enslave or kill us, they could really be helpful. They would almost surely see more possible moves in addressing difficult problems, like global warming. Perhaps it would be so obvious that they’re reliable authorities that we would give up on magical thinking. Then again, such thinking is almost perfectly hermetic and impervious.
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