The Brute Force of AlphaGo

 

David Silver, Google DeepMind:

The search base at Go is too enormous and too vast for a brute force approach to have any chance of succeeding… The search process itself is not based on brute force, more on something akin to imagination…. Humans are not able to make the precise tree-based computation that computers are able to perform. Humans have a limitation in the number of Go games they are able to process in a lifetime… It is at least conceivable that AlphaGo could, given enough processing, given enough training, given enough search power, reach a level that’s beyond any human.

Define “Brute Force”?

Wired:

The machine knew the move wouldn’t make sense to all those humans. Yes, it knew. And yet it played the move anyway, because this machine has seen so many moves that no human ever has…. drawing on all its other training with millions of moves generated by games with itself, it came to view Move 37 in a different way. It came to realize that, although no professional would play it, the move would likely prove quite successful. “It discovered this for itself,” Silver says, “through its own process of introspection and analysis.” Is introspection the right word? You can be the judge.

Define “Introspection”? Maybe a better term to use is “Brute Force”?

 

Advertisements

About GilPress

I launched the Big Data conversation; writing, research, marketing services; https://whatsthebigdata.com/ & http://infostory.com/
This entry was posted in AI, Google, Uncategorized and tagged . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s