The analogies between human and machine learning strategies are skillfully narrated, but rather drawn out.
The practical and relevant examples (health effect of smoking, impact of humanity on climate change) of causal inference alone make the book worthwhile.
Surprisingly up-beat considering its message and packed with nice examples.
Unfortunately, the book does not explicitly challenge if humans are adequate judges in the Turing test.
A quite complete account of the life and death of one of the most fascinating figures of early computing.
The book’s set-up with multiple scenarios for the future works surprisingly well and is especiall concerning for European readers: Europe is almost completely irrelevant in all of Webb’s scenarios.
The authors see AI as just a new option for the division of labor which, although it can have rather dramatic consequences, does not support apocalyptic GAI fearmongering.
Great effort to democratize AI and peel off some layers of mistique that harm public debate (althought the case against technochauvinism seems at times a bit too shallow).
Former Google China Chief explains why China will win the AI race when it comes to applications of deep learning in the physical world.
Decent summary of developments with some nice examples, but not sufficiently new or surprising to classify as ‘essential reading’.