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EnergySavvy | Seattle, WA | Cambridge, MA | Onsite

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EnergySavvy is on a mission to help solve one of the world’s biggest challenges: energy. We work with electric and gas providers across the country to improve the way consumers and businesses interact with energy at work and in their homes, and better serve their customers.

To give you a sense of our favorite technologies, our team works with: Flask, Python, React, Git, and PostgreSQL, but we don’t expect you to walk in the door knowing them.

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Software Engineer: http://bit.ly/2pBy6yQ

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After reading the first few bits in the "beginner" section, this reminds me of my experience with "Lessons in the Fundamentals of Go" by Kageyama Toshiro 7p [0] (Go the game). It's a terrific book where he stresses the fundamentals even if you feel like you're above it. I read the book cover-to-cover many times at different stages of my life as a go player, each time learning something new.

The book starts on ladders, a pretty basic concept that I teach to beginners within 15 minutes or so of learning the rules. [1]

  Still on ladders?  Ridiculous!  Even looking at this page is beneath me.

  Yes, but even if you feel you are being cheated, read on a little further.
  Don't forget the fundamentals.  Our study begins with ladders.
[0]: http://www.gobooks.info/g28.html

[1] http://senseis.xmp.net/?Ladders

Yep, I felt the same way. I wonder if the time constraints were optimized for AlphaGo.

One of the things I did want to see was how AlphaGo would fare in a blitz situation (i.e. really short timers).

Learning (viewing millions of professional game moves)

According to the last press conference, it was apparently strong amateur games from the internet that it used to train with. Afterwards, it just played itself, as you mentioned.

My rough summary of the match, informed by the various commentators and random news stories.

Game 1: Lee Sedol does not know what to expect. He plays testing moves early and gets punished, losing the game decisively.

Game 2: Lee Sedol calms down and plays as if he is playing a strong opponent. He plays strong moves waiting for AlphaGo to make a mistake. AlphaGo responds calmly keeping a lead throughout the game.

Game 3: Lee Sedol plans a strategy to attack white from the start, but fails. He valiantly plays to the end, creating an interesting position after the game was decided deep in AlphaGo's territory.

Game 4: Lee Sedol focuses on territory early on, deciding to replicate his late game invasion from the previous game, but on a larger scale earlier in the game. He wins this game with a brilliant play at move 78.

Game 5: The prevailing opinion ahead of the game was that AlphaGo was weak at attacking groups. Lee Sedol crafted an excellent early game to try to exploit that weakness.

Tweet from Hassabis midgame [0]:

    #AlphaGo made a bad mistake early in the game (it didnt know a known tesuji) but now it is trying hard to claw it back... nail-biting.
After a back and forth late middlegame, Myungwan Kim 9p felt there were many missed chances that caused Lee Sedol to ultimately lose the game by resignation in the late endgame behind a few points.

Ultimately, this match was a momentous occasion for both the AI and the go community. My big curiosity is how much more AlphaGo can improve. Did Lee Sedol find fundamental weaknesses that will continue to crop up regardless of how many CPUs you throw at it? How would AlphaGo fare against opponents with different styles? Perhaps Park Jungwhan, a player with a stronger opening game. Or perhaps Ke Jie, the top ranked player in the world [1], given that they'd have access to the game records of Lee Sedol?

I also wonder if the quick succession of these games on an almost back-to-back game schedule played a role in Lee Sedol's loss.

Myungwan Kim felt that if Lee Sedol were to play AlphaGo once more, the game would be a coinflip since AlphaGo is likely stronger, but would never fix its weakness between games.

[0] https://twitter.com/demishassabis/status/709635140020871168

[1] http://www.goratings.org/

I doubt it. When/if they do play such a game that humans can't explain, I'll probably be interested in some other problem.

Isn't that the nature of human endeavor? Always looking for the next challenge?

That would be amazing if it could achieve the same levels (or higher) without the bootstrapping.

The niggling thought in my mind was that AlphaGo's strength is built on human strength.

As a spectator, I was on the edge of my seat :)

As a 3d amateur, I'm really curious about when he resigned. It really seemed like he was playing the position out to go for the win (or perhaps to see how AlphaGo would fare in ko). It didn't look like he was searching for a place to resign.

Perhaps the last big question was whether AlphaGo could play ko positions. AlphaGo played quite well in that ko fight and furthermore, even played away from the ko fight allowing Lee Sedol to play twice in the area.

I definitely did not expect that.

Major credit to Lee Sedol for toughing that out and playing as long as he did. It was dramatic to watch as he played a bunch of his moves with only 1 or 2 seconds left on the clock.

EnergySavvy - http://www.energysavvy.com/careers Seattle/Boston

EnergySavvy is a SaaS company with a mission of re-inventing the way homes and businesses become more energy efficient. We've doubled in size in the last 2 years and are currently hiring a couple key engineering roles for our newest product in Seattle and Boston.

Seattle: Software Engineer: http://www.energysavvy.com/careers/software-engineer Software Engineer - Customer Team: http://www.energysavvy.com/careers/customer-engineer DevOps: http://energysavvy.theresumator.com/apply/uvfm8x/devops-engi...

Boston: Software Engineer - Customer Team: http://www.energysavvy.com/careers/software-engineer-custome... Client Engagement Professional: http://www.energysavvy.com/careers/cep-boston

Feel free to contact christine@energysavvy.com for more information or me at "frank at energysavvy.com".

Seems like a prime case for using a (bar/line/etc) graph to show the trend. I'm strangely disappointed in not seeing one.