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Confession of a so-called AI expert

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Re: Confession of a so-called AI expert

#81

> It’s a phenomenon that Richard Socher, the dishevelled 30-something (or 20-something?) lecturer who just sold his company for several hundred millions yet still biked to campus, mentioned in his class: “Companies keep asking my students to drop out to work for them.” Why would anyone not continually bike for commuting purposes once they are wealthy? Biking is such a joy whether you're 7 or 70, rich, or poor.

Offtopic: Did salesforce really pay 'several hindres millions' for metamind? I assumed it was a aquihire of sorts.

Re: Confession of a so-called AI expert

#82
post #7

Earlier quoted context omitted.

> not at human level yet Not even at insect level yet. There's no doubt things will improve, and there's already great value, but I hate calling ML "AI". It's been over 70 years of ML research (specifically neural networks) and I don't know how long it's going to take to reach insect-level behavior (which is still far from basic intelligence) let alone so-called AGI (which, BTW, people in the '50s were certain is jus…

Actually Andrej Karpathy showed human level error on imagenet is around 5% while the winning model from 2017 had an error rate of just 2.25%.

Computers were able to perform some tasks better than humans since they were first built in the 40s. Computers are only used for things they are better at than humans. There is nothing to suggest, however, that there is anything closer to "intelligence" in recognizing images as in compiling census statistics, and no software is as adept in "general problem solving" as insects.

Re: Confession of a so-called AI expert

#83

> It’s a phenomenon that Richard Socher, the dishevelled 30-something (or 20-something?) lecturer who just sold his company for several hundred millions yet still biked to campus, mentioned in his class: “Companies keep asking my students to drop out to work for them.” Why would anyone not continually bike for commuting purposes once they are wealthy? Biking is such a joy whether you're 7 or 70, rich, or poor.

> Companies keep asking my students to drop out to work for them.

I've been told Berklee College of Music makes it very easy for students to leave and later come back, even years later, exactly to enable students to grab transient professional opportunities without sacrificing their education. I wonder how engineering schools stack up in comparison.

Re: Confession of a so-called AI expert

#84
post #12

Earlier quoted context omitted.

This. I don't think people even get a hint of what is possible nowadays with DL in CV, NLP etc. I am actually depressed when I talk to some friends and they are so pitifully outdated, and then even after showing them how to do some magic in 100 lines, observing they are still not getting it and continuing in their old ways :(

Just out of curiosity, where would you recommend starting for those outdated people? Machine Learning, Deep Learning, AI (for lack of a more specific acronym), NLP - these things are kind of daunting for newcomers, if only due to the acronym du jour changing constantly.

> where would you recommend starting [emphasis mine]

Play with http://playground.tensorflow.org/ . Read today's https://news.ycombinator.com/item?id=14992865 about https://pair-code.github.io/deeplearnjs/ .

Re: Confession of a so-called AI expert

#86

> It’s a phenomenon that Richard Socher, the dishevelled 30-something (or 20-something?) lecturer who just sold his company for several hundred millions yet still biked to campus, mentioned in his class: “Companies keep asking my students to drop out to work for them.” Why would anyone not continually bike for commuting purposes once they are wealthy? Biking is such a joy whether you're 7 or 70, rich, or poor.

Safety concerns?

I mean, you could just never leave your house if you were concerned about safety.

Re: Confession of a so-called AI expert

#87
post #86

Earlier quoted context omitted.

Safety concerns?

I mean, you could just never leave your house if you were concerned about safety.

> I mean, you could just never leave your house if you were concerned about safety.

I'd take a 1/1000000 chance. I wouldn't take a 1/1000 chance. Get the point?

Re: Confession of a so-called AI expert

#88
post #75
post #38

Earlier quoted context omitted.

I didn't come off of this article feeling very impressed with Stanford's CS department. Someone with contextual knowledge please explain why I am wrong. I've had my own calculus / discrete math / math for bio courses before but that was after several years as a doctoral student and TA at Georgia Tech. I can't imagine that there isn't a PhD candidate with more experience under their belt both teaching and using Tensor…

posted above but https://registrar.stanford.edu/staff/student-initiated-cours...

Thanks, this makes a lot more sense, my impression from the post was that this was a normal CS course.

Re: Confession of a so-called AI expert

#89
post #82

Earlier quoted context omitted.

Actually Andrej Karpathy showed human level error on imagenet is around 5% while the winning model from 2017 had an error rate of just 2.25%.

Computers were able to perform some tasks better than humans since they were first built in the 40s. Computers are only used for things they are better at than humans. There is nothing to suggest, however, that there is anything closer to "intelligence" in recognizing images as in compiling census statistics, and no software is as adept in "general problem solving" as insects.

Honestly I think you're playing a language game.

I'm sure you're familiar with the line of reasoning that if you asked someone 50 years ago to describe tasks that require intelligence, they'd for sure say recognizing objects in images is one of them. Now that computers can do that, it's no longer 'intelligence' and the goalposts get moved.

In what sense is no software 'as adept in "general problem solving" as insects'?

Re: Confession of a so-called AI expert

#90
post #44

No offense to the author. But serious question: why whenever articles like this come does everyone say "oh you're not a fraud at all!!". You know what, maybe she is a fraud. If she's being honest in this post she sounds a bit like one. She's crafted the perfect resume to attract attention about AI and it works. But she doesn't really know all that much. Possible that she has severe imposter syndrome and she sounds ab…

The simple answer is that this blog post tells us nothing about her skill level aside from the clear resume brags. Google I/O presenter on Tensorflow said something along the lines of "why do we use RELU? Because it works better.. Why does it work better? We don't know for sure." Any field where the basic questions are still unanswered is going to make talented people think they are posers. In fact it's the only rational stance..
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