Andrew Ng is raising a $150M AI Fund • Hacker News Board

Re: Andrew Ng is raising a $150M AI Fund

#131

Post by nihonde » Thu, Aug 17, 2017, 1:37 AM UTC

lifeisstillgood wrote: post #67

nihonde wrote: post #30

Earlier quoted context omitted.

Personal privacy is a paper tiger, as Facebook and others have proven again and again. You only need to look at the consequence-free landscape of privacy breaches to understand that people have no meaningful right to avoid direct marketing and spillage of their contact info. On the other hand, confidential information of corporations is pretty well guarded, and confidential contract terms, costs, pricing, and other i…

I am not sure I get it. If I am Ford and get access to GMs Salary database or factory electrical meter, do I win much? It's almost certain I know the ballpark frommrunning my own factory and probably have hired three of GMs managers with detailed knowledge in their heads last week. Or is it more hedge funds - like satellite images of Walmart car parks to estimate the revenue figures? Either way these don't seem like…

It's about normalizing pricing and terms in the supply chain. (You chose bad examples, as the larger buyers implicate antitrust/competition rules and illegal collusion.)

If an AI has access to a broad spectrum of confidential information, it can reliably answer questions about the state of the market on an anonymized basis. This has the effect of normalizing sourcing behavior, which reduces purchasing and sales friction and improves overall efficiencies.

Re: Andrew Ng is raising a $150M AI Fund

#132

Post by gantengx » Thu, Aug 17, 2017, 1:53 AM UTC

narvind wrote: post #38

cr0sh wrote: post #5

I look at announcements like this, and past ones about Ng, and I always marvel at how things have gone since I took and completed his 2011 ML Class... That was one helluva course, challenging and interesting, and fun all at the same time (and so much "concretely" - lol). From what I understand, that course is still available thru Coursera (which Ng booted up after the ML Class experiment; Udacity was Thrun's contribu…

Nice. I wrote down my thoughts after taking his new DL course. Hope it helps you all :) https://medium.com/towards-data-science/thoughts-after-takin...

That's a really good summary. Thanks for posting it :-)

Re: Andrew Ng is raising a $150M AI Fund

#133

Post by jinqueeny » Thu, Aug 17, 2017, 2:09 AM UTC

cr0sh wrote: post #5

I look at announcements like this, and past ones about Ng, and I always marvel at how things have gone since I took and completed his 2011 ML Class... That was one helluva course, challenging and interesting, and fun all at the same time (and so much "concretely" - lol). From what I understand, that course is still available thru Coursera (which Ng booted up after the ML Class experiment; Udacity was Thrun's contribu…

I gave it a try several years ago, but it was very difficult for me to follow. Maybe I should try again...

Re: Andrew Ng is raising a $150M AI Fund

#134

Post by quest88 » Thu, Aug 17, 2017, 2:33 AM UTC

ryanSrich wrote: post #128

Slight side topic: Has anyone gone through the new deeplearning.ai track on Coursera yet? Wondering how difficult it is for someone that can write code, but never had any formal academic training in CS.

I'm on course two after completing the assignments in course one. If you can write code, you can do the course. So far there's nothing where a cs degree is needed. It's mainly array manipulation for now.

The coding exercises are setup very nicely for you with a lot of code comments and hints. A lot of the time, if not all the time, you're simply completing the right hand side of an assignment.

Re: Andrew Ng is raising a $150M AI Fund

#135

Post by firebones » Thu, Aug 17, 2017, 2:40 AM UTC

mlboss wrote: post #99

subroutine wrote: post #93

Earlier quoted context omitted.

The final project in that course should be using ML to detect every time Ng says "concretely" and compile those clips into a video montage.

Its already done https://www.youtube.com/watch?v=5ZNJPSe1nZs

Did anyone do "intuition"?

Re: Andrew Ng is raising a $150M AI Fund

#136

Post by goobynight » Thu, Aug 17, 2017, 2:50 AM UTC

padobson wrote: post #60

likelynew wrote: post #51

Earlier quoted context omitted.

I don't think it is not unique to tech investing, but it is true for all small companies.

Or big companies. If you wanted a chance to profit from Snap, Square, Twitter or (coming soon) Pinterest, you had to be a high level investor. I believe most regulations that block this kind of investment are done in the name of protecting the little guy.

They are done in order to protect the little guy, due to the high risk associated with the high reward.

Otherwise, you will get people that have negative net worth, maybe $20k in credit card debt + student loans that they pay minimums on, and a few kids dumping a year of savings into Snapchat and losing it all.

While it sucks for small players that are ok with high risk investing (and would be ok losing it), there just isn't a way to stop the flood of stupid that would come with it.

Probably the closest thing I've seen to being able to invest in something like this is cryptocurrecy,

Re: Andrew Ng is raising a $150M AI Fund

#137

Post by fiatjaf » Thu, Aug 17, 2017, 3:06 AM UTC

lowglow wrote: post #75

fiatjaf wrote: post #21

If he had called it AICOIN he could have raised much more.

Synapse AI is an "AI Coin" you might be interested in. https://synapse.ai/

Oh, dear, what is that? How can people merge these things together?

Apparently they don't know also. The website is empty.

Re: Andrew Ng is raising a $150M AI Fund

#138

Post by jorgemf » Thu, Aug 17, 2017, 3:24 AM UTC

taneq wrote: post #127

jorgemf wrote: post #86

Earlier quoted context omitted.

Why do you think companies like Google release so many things open source related with AI (papers, models, frameworks)? Because they have the data to train them. In my company 90% of my time is dealing with the dataset, having a good and big dataset is first step to train any algorithm.

I'd never thought of this angle before, but maybe to establish prior art? They have several high level competitors all working on the same stuff. The algorithms aren't that useful without the dataset anyway, so they release the algorithms in order to block any future attempts to patent the tech?

They release the algorithms so other researches can improve them and they can use the new ones with their dataset.

They release the frameworks so people learn them and then it is easier and cheaper to find employees.

That is what I think.

Re: Andrew Ng is raising a $150M AI Fund

#139

Post by IanCal » Thu, Aug 17, 2017, 5:36 AM UTC

resu_nimda wrote: post #125

Cybiote wrote: post #115

Earlier quoted context omitted.

Don't have anything relevant to say except to make a fun note that we can change your second sentence, keeping it correct, while increasing its ambiguity. If we restate it as: Are they talking about basically getting the most out of the current ML type systems? Since Deep learning is a subset of machine learning, the sentence retains correctness but there are now two equally valid interpretations. Okay, I do have som…

models can be trained off-line to operate on sensor streams just fine. I mentioned this in another comment, but I don't know that we can train these models just fine, a human can get a lot more information out of an audiovisual stream than a rudimentary transcription of recognized speech, objects and/or text. If we make these models more sophisticated to capture more information (e.g. body language, tone, context), w…

> we have to decide how that information is structured and communicated to the "higher level meaning interpretation" stage.

Do we? I'm not convinced. I've joined different sensory inputs before and just glommed together the top of two nets, I didn't have to create any of my own representations.

> but we will never get machines to do that if we continue curating structured data sets

Curated datasets are important though. Want your machine to understand more about the world around it? Then you need high quality inputs in formats you can load in. These data also need to be licensed correctly.

> They need to be able to do that themselves.

We don't chuck kids out into the wilderness and expect them to come back as a useful member of society. We have a huge range of inputs specifically curated to help (from toys and shows to school curricula). Later on with specialisation we pay for extremely carefully selected data, presented in a specific order!

Creating high quality datasets is vital for really anything from niche specialist systems to large general ones.

Re: Andrew Ng is raising a $150M AI Fund

#140

Post by IanCal » Thu, Aug 17, 2017, 5:40 AM UTC

resu_nimda wrote: post #94

rjtavares wrote: post #92

Earlier quoted context omitted.

Have you ever seen a child learn how to speak? He also needs loads of "labelled" data to initially learn about concepts.

The data is not labelled in the same way. The child has still acquired their knowledge solely from sensory experience. How do they know to apply the spoken label "mom" to the recurring pattern in their visual data stream? With modern data sets and labelling, so much of the problem domain is deeply hard-coded into the system. It doesn't have to learn what letters and words mean and how to identify them in a totally ar…

Actually you can learn a lot of stuff unsupervised, and then just use supervised learning to extract the information from within the net. So you can just throw huge amounts of letters at a deep net then later look at the activation at the top and say "Ok, so when neurons X, Y and Z are on it's when it's looking at a 1". I'm pretty sure you can just connect two at the top and have it say the number it sees.

> In order to make AI that really has a chance of reaching what humans would call intelligence, I firmly believe it has to make meaning out of some kind of raw sensory experience analogous to ours.

And why must it be able to do this from scratch? Why must it be hampered with the same limitations we have?