This article is using false assumptions about AI to back up its narrative. "AI doesn’t just require top-tier talent; that talent is all but useless without mountains of the right kind of data. And who has essentially all of the best data? That’s right: the abovementioned Big Five, plus their Chinese counterparts Tencent, Alibaba, and Baidu." Making the next quantum leaps in AI is not a question of data advantages. 1)…
1) That's false. AlphaGo did not just train by self-play. It trained on millions of pre-played games, and the bot also uses hand-engineered features for their MCTS hybrid (best) model. Refer to their paper for details. 2) Read the article that you are referencing please. What you are implying is not the thesis of that article nor is it what Geoffrey Hinton is saying. What Hinton is saying is, we should throw out deep…
>After just three days of self-play training, AlphaGo Zero emphatically defeated the previously published version of AlphaGo - which had itself defeated 18-time world champion Lee Sedol - by 100 games to 0. After 40 days of self training, AlphaGo Zero became even stronger, outperforming the version of AlphaGo known as “Master”, which has defeated the world's best players and world number one Ke Jie.