[doctorpangloss]

> how it can open AI to the world unless it can share rather valuable data sets

I think the spectacularly publishable performance from industry comes entirely from these massive datasets.

AlphaGo needed way more energy and data than a person did to perform as well as it did. To a set of pedantic but extremely well-meaning researchers, that could be interpreted as a huge failure.

Clearly whatever it's doing isn't the kind of intelligence that people have, since people don't need megawatts of power and 30 million game sets. But that's what big companies have that academic departments don't.

Journals publish both approaches though, and we all win from great discoveries.

[vhold]

I think you're coming it at it from the perspective that making Lee Sedol was free? Imagine how many calories, all the fuel used to create those calories, his own direct transportation footprint, the time and money spent across creating him and his entire life. AlphaGo might not be relatively that inefficient.

[sqeaky]

Let's do some Math!

Assuming 2000 Calories per day a megawatt is about 240.000 calories per second we can do some silly calculations. Assuming AlphaGo consumed one megawatt for 1 whole day then it consumed about 20,736,000,000. This is probably low. This is enough Calories for a human for 28,405 years. If we split the Calories accross 500 that accounts for 57 years apiece.

I had no clue where this would turn out when I start. If we presume AlphaGo can run on a 1,000 Watt machine we can still divide all these numbers by 1,000 and they still hold, so 28.4 years of human calories.