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Your brain vs. the machine’s brain

Machine learning works by looking at patterns, calculating the odds that one thing will follow the next.

Brains also look at patterns and predict how they go. It’s why we’ll often see things that aren’t there, or why we’re able to memorize things we chunk into patterns.

The difference between AI (artificial intelligence) and the human brain is that our brains do two things computers can’t yet do.

First, our brains consider context. Talking about shoe size can mean something different if you’re talking about a child or an adult, it can also mean something completely different in the context of a car.

In order to understand what we mean by “shoe size” we have to be given a certain context from which to identify patterns. Computers aren’t yet capable of understanding the complexities that surrounds context; things like who is asking the question or the environment it’s being asked in.

The other thing our brains do which computers can’t yet do is keep information connected outside of context.

If I say the word “size”, your brain can think not only of how it relates to shoes, but also: clothing, food servings, buildings or homes, animals, tv screens, phones, on and on the list goes.

Computers can’t yet connect one abstract or otherwise ambiguous term, like “shoe”, to all of the many, many different contexts it relates.

So when you and I have a conversation about coffee, for example, our brains are able to understand the context of a coffee shop as well as the notions of how the coffee shop often symbolizes community, conversation, air conditioning, wi-fi, tables, popular brands, business, and much more.

All the computer would know is linear information it’s been trained on. Machines are limited to the patterns we, as programmers, tell it to recognize. They can only learn language in so much as we tell them what a conversation might look like, then the machine calculates the odds of what a conversation entails as it occurs.

Tell an intelligent enough computer that you’re having a bad day and it might know to respond with “I’m sorry” but won’t have any concept of whether or not to ask you if it’s because of your boss, or the weather, or simply because it’s Monday.

It’s very likely we’ll have a computer developed in the coming years that can do each of the complex things the brain can do.

But for now, today, only you and I are capable in thinking this way; of being able to relate words and concepts not only to their contexts, but to nearly everything else.

That’s what makes creativity valuable: it’s vastly more complex than what even the most powerfully intelligent computer can do.

So let’s focus on doing that more often: understanding the context of what it is we’re working on, then branching out to everything else to see what connections there might be that a computer couldn’t catch.

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"If you listen closely, Amazon itself tells us this. Note that there’s no arrow pointing outwards labeled ‘take profits.’ This is a closed loop." http://a16z.com/2014/09/05/why-amazon-has-no-profits-and-why-it-works/ This Bezos' napkin-sketch reminds me of the old days at P&G, living each day by the term of "passing the value to our consumers". Not a rocket science but tends to be overlooked. – View on Path.

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World Cup 2014: Memorable moments  

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Trying to compare Indonesia with some other areas on the globe, and the result is surprising

If you see on the flat world map, you will see the further places from the equator, the more widened areas are from the proportional size. As the country fully set on the equator Indonesia seems very tiny-looked on the flat map. In here LostInIndonesia try to compare the Indonesian length area according to the proportion areas of the globe map, which refers to to the actual proportion of the earth area. And I can say that the result is surprisingly out of our minds, which will make you feel so worthy having an Indonesian visa ^ ^ . Thanks to Wikipedia which create all those globe maps.

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Colombia 2-0 Uruguay [WC 2014 Rd of 16] 28/06/2014

James Rodriguez 28’

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Why Optimism is Necessary in Business

Six Stanford GSB faculty, alumni, and guests share their thoughts on maintaining a positive outlook at work and in life:

Tweet this:

Read the Tumblr blog post.

Tweet this:

Watch the video.

Tweet this:

Read the blog post.

Tweet this:

Read the article.

Tweet this:

Watch the video.

Tweet this:

Read the article. 

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Whether you’re giving a presentation, entering a negotiation, or simply trying to influence a coworker, being aware of power structures and your own power is key for success. Check out our research round-up on how to build, maintain, and demonstrate power at work:

WORKING WITH POWER ...

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"If that big guy can do it, I CAN do it..." —Toddler's daily adversity 😄 with Rahim, Melanie, Sisca, Errawan , and Zerlita – Watch on Path.

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The Red Wedding (minus Frey). *powered by Nike with Sisca – View on Path.

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The Battle Beyond the Wall. *powered by Nike with Sisca – View on Path.

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The Sack of King's Landing. *powered by Nike with Sisca – View on Path.

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Not a doppelgänger, it's him all this time... XD Mind = Blown – View on Path.

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Last game before entering Ramadhan this year #Jogo (at Lapangan Sepakbola Pertamina Simprug)

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Untuk para swing voters 😎 #anakAdidas #anakNike – View on Path.

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Above: Exactly 1 year ago according to Timehop. Below: Approx 5 years and 356 days ago. #Throwback with Reggy, Arudea, Pramoda Dei, and Muchlido – View on Path.

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Experimenting a stabilo-colored lace on a rather 'boring' white cleats. Not bad. 😊 – View on Path.