AI has been a hot
topic for a while and there have been some well known firms and individuals
participating in this sector. DeepMind and OpenAI may be the two best known AI
firms; one developed AlphaGo and one of the other's founders was Elon Musk.
Both companies are developing AI which can play video games that DeepMind is
focusing on Starcraft II and OpenAI is focusing on Dota 2. The two firms
definitely considered their choices very carefully that I believe the reason
for choosing Starcraft II was to design an AI that can work on several tasks
under uncertainty and the reason for choosing Dota 2 was to design an AI that
can cooperate in a complex environment. If they can succeed (they are both now
close to success), it will be a big step in the AI sector.
Based on what we
have seen about AI performances (such as AlphaGo), AI often shows its
difference from our human beings. Sometimes we feel our intelligence is
challenged by AI, for example the Go strategies which have been studied for
thousands of years are definitely challenged by AlphaGo. Some people think that
we may be able to learn from AI and through learning, we can improve our
thinking further. This is definitely a reasonable argument. However, the
difficulty is that machine learning does not really tell us what is really in
AI's mind. Furthermore, because of the speed of AI's learning process, we are
not possible to monitor every stage of its improvement. The most possible and
straight way is to study the final outcome and try to draw some reasonable
conclusions.
Then such study
becomes like empirical studies that we do not exactly what is in the process
and try to guess the process by using statistical tools and other tools. The
study on AI is like this but with a relatively simple system.
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