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> The strength of computers has always been the ability to analyze literally incomprehensible (to humans) amounts of data and derive unique insights from them
by Strom 6y ago
> The strength of computers has always been the ability to analyze literally incomprehensible (to humans) amounts of data and derive unique insights from them
AI actually gets into trouble due to the amount of data before humans do. Humans are quicker learners and only need a few iterations of analysis, while current AI needs a plethora of iterations over possible combinations.
For example the OpenAI Dota 2 AI was doing pretty well, but it had to play a restricted version of the game where only about a dozen heroes are allowed out of ~120. Basically only 10% of the complexity. OpenAI never even attempted to compete at the full game before they quit and shut down the project.
- dash2 6y agoDid they quit because they couldn't win, or quit because they could easily win and it was not going to generate further insights?
- cbruns 6y agoIt was crushed by the worst pro team at the top tournament. I have never seen a deep learning bot (Alphastar included) beat humans in a game like this when reaction time/micro advantages are removed. Their novel 'strategy' is always optimized around perfect mechanics.
- Strom 6y agoWell OpenAI holds the opinion that they could easily win. However I call bullshit. When a self-driving car company can have its AI drive around in an Arizona suburb, nobody sane believes that it means they can also drive around in Kolkata, India. However that is basically what happened with the Dota 2 AI effort by OpenAI. They managed to succeed in an extremely limited scenario and then proceeded to put out press releases claiming they had beat Dota 2.