François Chollet+ Your Authors @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 + Your Authors

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.


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

Enjoy Threader? Sign up.

Since you’re here...

... we’re asking visitors like you to make a contribution to support this independent project. In these uncertain times, access to information is vital. Threader gets 1,000,000+ visits a month and our iOS Twitter client was featured as an App of the Day by Apple. Your financial support will help two developers to keep working on this app. Everyone’s contribution, big or small, is so valuable. Support Threader by becoming premium or by donating on PayPal. Thank you.