François Chollet @fchollet Deep learning @google. Creator of Keras, neural networks library. Author of 'Deep Learning with Python'. Opinions are my own. Jun. 30, 2019 1 min read

If you can define intelligence in sufficiently precise terms, its implementation becomes easier.

Failure to move forward is often not due to a lack of problem-solving capacity, but to failure of properly articulating goals, formulating relevant questions, and following appropriate measures of success.

If the only successes of AI have been in developing narrow task-specific systems, it is because only within a highly specialized and grounded context are we able to *define the goal* sufficiently precisely, and to *measure progress*. "General AI" is far too vague to be actionable

The solution must be co-evolved with the problem definition.


You can follow @fchollet.



Bookmark

____
Tip: mention @threader_app on a Twitter thread with the keyword “compile” to get a link to it.

Enjoy Threader? Sign up.

Threader is an independent project created by only two developers. The site gets 500,000+ visits a month and our iOS Twitter client was featured as an App of the Day by Apple. Running this space is expensive and time consuming. If you find Threader useful, please consider supporting us to make it a sustainable project.