Part 6/9:
Subsequently, in 2017, they entered another high-stakes poker tournament, this time with a reformed AI capable of taking the time to think. The outcome was unexpected, as their enhanced model won decisively against elite players; this success redefined what was possible in AI-assisted strategy.
Lessons from Deep Blue and AlphaGo
The narrative of AI evolution isn't unique to poker; similar victories have been observed in chess and Go. In 1997, IBM's Deep Blue triumphed over world champion Garry Kasparov. Furthermore, DeepMind's AlphaGo achieved monumental success in 2016. Notably, both systems employed thinking time strategically, outperforming their human counterparts by pondering moves rather than acting instantaneously.