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Marvin Minsky dies at 88

nytimes.com

1–10 of 188 posts

Re: Marvin Minsky dies at 88

#3
Oh man... This is really sad news. I mean, don't get me wrong, ANY death is sad news, especially for that person's friends and family. But while I never knew Marvin Minsky personally, I've felt his influence on my life for a long time. AI has always been one of my favorite subjects, and he's one of the forefathers of AI research and his presence looms large in the life of anyone connected to the field. So this feels like losing an old friend.

Not to mention that he was a brilliant mind, and his loss is a loss for humanity at large.

Anyway, RIP Mr. Minsky.

Re: Marvin Minsky dies at 88

#4
In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6.

"What are you doing?", asked Minsky.

"I am training a randomly wired neural net to play Tic-tac-toe", Sussman replied.

"Why is the net wired randomly?", asked Minsky.

"I do not want it to have any preconceptions of how to play", Sussman said.

Minsky then shut his eyes.

"Why do you close your eyes?" Sussman asked his teacher.

"So that the room will be empty."

At that moment, Sussman was enlightened.

RIP.

Re: Marvin Minsky dies at 88

#8
post #4

In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What are you doing?", asked Minsky. "I am training a randomly wired neural net to play Tic-tac-toe", Sussman replied. "Why is the net wired randomly?", asked Minsky. "I do not want it to have any preconceptions of how to play", Sussman said. Minsky then shut his eyes. "Why do you close your eyes?" Sussman asked his teacher…

From the jargon file [1]

[1] http://www.catb.org/jargon/html/koans.html#id3141241

Re: Marvin Minsky dies at 88

#10
RIP. I will always hold him as an inspiration.

Of interest: https://en.wikipedia.org/wiki/Neats_vs._scruffies

I find it interesting because Minsky did a lot of the foundational work in Neural Network research yet he philosophically identified as the opposite on the Neat/Scruffy spectrum of most NN researchers today. Much like Bayes, I think there is some immense wisdom from his research that will not even be acknowledged as wisdom for decades.

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