Re:What are the limits of deep learning?
by evrydayhustling on Wednesday January 23, 2019 @08:15PM
(#18985132)
The progress is well defined. Both academic and industrial deep learning groups aggressively define challenge tasks in vision, NLP, relational learning and more, then document progress on them. There is even an unprecedented release of code and datasets to let others replicate and extend work.
Detractions like your "so much nonsense out there" pick straw man goalposts - whether it's AGI (whatever that really means) or "the craziest thing I heard from IBM marketing". The fact that some people are talking about crazy milestones doesn't mean that there aren't real ones being met.
Re:What are the limits of deep learning?
by YeGoblynQueenne on Wednesday January 23, 2019 @04:26PM
(#18983151)
Unfortunately, when rigor crawls in, excitement flies out. Rigorous machine learning would be really boring for everyone except its most dedicated followers. It's probably how Geoff Hinton and his students soldiered on with their research through alternating waves of lay hype and disappointment.
Re:What are the limits of deep learning?
by RivieraKid on Wednesday January 23, 2019 @06:11PM
(#18984171)
> Which makes your assertion that the field is 'progressing' strange.
Well, it is progressing. That assertion is correct.
I think there's a lot of merit to remembering the last time we got this excited about a given model for AI. And the time before that. And the time before that.
Go back further, to the time that we were all so excited that we could model the entire world with a little bit of beautiful logic. And the subsequent disappointment.
There is so much nonsense out there, so much hand-waving, mixed signals, false promises, downright naivety, and both malicious and completely inadvertent miscommunication. A little rigor in a field this excitable would be nice, I say.