News for hackers. Stuff that matters.
Re:Layoffs at Watson Health Reveal IBM’s Problem with AI by nostrademons on Monday June 25, 2018 @03:45PM (#17395218)
The recommendation, translation, & image classification algorithms are all done with deep-learning; that's considered AI now.

There was a time, not all that long ago, when SVMs, Bayesian networks, and perceptrons were considered AI. That's behind the spam filters, predictive keyboards, and most of the search signals.

There was a time, a bit longer ago, when beam search and A* were considered AI. That's behind the game opponents.

As the linked Wikipedia article says, "AI is whatever we don't know how to do yet." There will be a time (rapidly approaching) where deep learning and robotics are common knowledge among skilled software engineers, and we won't consider them AI either. We'll find something else to call AI then, maybe consciousness or creativity or something.

Re:Layoffs at Watson Health Reveal IBM’s Problem with AI by cirgue on Monday June 25, 2018 @03:54PM (#17395288)
This is my point: the term AI has always been BS. It was BS when beam search was AI, it was BS when expert systems were AI, and it is equally as BS when applied to neural networks. It comes to the same thing: the 'AI' tools we use are increasingly good function approximators. That's it. It's still reaching the moon by building successively taller ladders.
Re:Layoffs at Watson Health Reveal IBM’s Problem with AI by hetzeljt on Tuesday June 26, 2018 @09:27AM (#17400370)
I think Judea Pearl would agree with you in part. From an interview in https://www.theatlantic.com/technology/archive/2018/05/machi... :

As much as I look into what’s being done with deep learning, I see they’re all stuck there on the level of associations. Curve fitting. That sounds like sacrilege, to say that all the impressive achievements of deep learning amount to just fitting a curve to data. From the point of view of the mathematical hierarchy, no matter how skillfully you manipulate the data and what you read into the data when you manipulate it, it’s still a curve-fitting exercise, albeit complex and nontrivial.

And

I left the arena to pursue a more challenging task: reasoning with cause and effect. Many of my AI colleagues are still occupied with uncertainty. There are circles of research that continue to work on diagnosis without worrying about the causal aspects of the problem.

Re:Layoffs at Watson Health Reveal IBM’s Problem with AI by mindcrime on Wednesday June 27, 2018 @09:54AM (#17408093)
This is my point: the term AI has always been BS

I don't see how this follows from this:

the 'AI' tools we use are increasingly good function approximators

Nothing in the definition of AI says that AI has to work the same way the human brain does... and as far as that goes, we're probably not 100% sure that, in the end, the brain is anything more than a really good function approximator and some applied statistics.

I would say the canonical definition of AI, to the extent that there is one, is roughly something like "making computers do things that previously only humans could do". If people think "AI is bullshit" I'd say it's because they're applying their own definition to the term, where there definition imposes much more stringent requirements.

Re:Layoffs at Watson Health Reveal IBM’s Problem with AI by Nimitz14 on Monday June 25, 2018 @06:43PM (#17396459)
> There was a time, a bit longer ago, when beam search and A* were considered AI.

Yeah, maybe the marketing people said that..

Re:Layoffs at Watson Health Reveal IBM’s Problem with AI by makapuf on Monday June 25, 2018 @07:19PM (#17396643)
Well in game design you still call them AI. Of course this use of AI does not impress anyone per se, it's just a name and not a selling point.