François Chollet+ Your Authors @fchollet Deep learning @google. Creator of Keras, neural networks library. Author of 'Deep Learning with Python'. Opinions are my own. Apr. 20, 2019 1 min read + Your Authors

AI has managed to follow roughly linear progress over the past 70 years thanks to an exponential increase in available resources (computing power, researcher headcount, tooling/networking improvements).

Like in other successful scientific fields, the exact rate of exponential resource consumption seems to adjust itself so as to sustain this roughly linear progress. An interesting game of incentives. It's not unlike the Bitcoin mining market.

I think this exponential increase in resources for AI research can be sustained for a few more decades. Meaning that we'll continue to see linear progress at roughly the current pace for a while.

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.

Follow Threader