Hacker News new | ask | show | jobs
by chillacy 2760 days ago
I don’t have enough knowledge to evaluate the idea that symbolic AI would scale as well as deep learning (or could I say statistical models in general?), but what has held back symbolic AI if not for the difficulty of making it work? Surely someone out there has tried in the past 5 years if the reward is that great.
1 comments

It's mostly because symbolic AI is not fashionable. Most AI practitioners under 40 (and VCs) seem to think AI is DL and only DL.
Google, Apple, etc. tried to make symbolic AI work for their problems but found it had intractable problems. Google fairly publicly transitioned to a deep learning approach for translation which greatly improved their results. Apple is still struggling to make the transition for Siri's question answering.
How might symbolic AI become fashionable?