81–90 of 155 posts
>Ng told me that his personal goal is to help bring about an AI-powered society. Anyone have links to interviews or information on Ng's vision? I'd love to hear the details.
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…
It's still available. I've been taking it for the past month or so. After learning more about him, he's probably the only person in the world that I envy. I resonate with his ideas a lot, but I'm like 1% of what he is. It makes me a bit sad. I'll be taking his new course as well and hopefully one day I will be able to work in the same field as him.
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…
It's far from challenging. The Stanford one (CS229) is though.
If he had called it AICOIN he could have raised much more.
I thought the AI hype is over again but apparantly not.
"Many of these funds are putting time and resources into securing data sets" - this is key.
Looks like Data sets are going to be the moat of AI companies.
Earlier quoted context omitted.
Could you describe at a high level(or whatever level you'd like,) what goes into, or more specifically, what are the components of a crawler that makes it superior for these purposes?
Sure; Doesn't die -- HTML being a specification in name only, there are a lot of really crazy web pages out there that render on browsers but are pathological edge cases. Does a good job of distinguishing 'good' links from 'bad' links on a page. -- Lots of pages have links that should not be followed, some are easy they are rendered in the same color as the background (SEO black hat link juice) and others refer to cr…
"Many of these funds are putting time and resources into securing data sets" - this is key.
Looks like Data sets are going to be the moat of AI companies.
If you are just aggregating data, that's not a moat.
A lot of folks are buying data from a bunch of sources to give complete coverage - e.g. a dataset of all plane ticket prices, where before you could only get separate datasets from each of amadeus and rivals.
Someone, usually someone big, just goes round you to build their own infrastructure for some internal function, e.g. Google flights api, and then realises they can replace you as a secondary revenue stream.
Instead, I think you gotta somehow add value to your data, which is best done as a side effect of another buisness.
Reuters have a huge news dataset with amazing annotation because they got thier editors to curate it as it was produced. That's an unassailable free text training set that no one else is gonna match.
So build a dating app that causes users to create a curated dataset. Or a game. Or a buisness tool. Or an api. Or a really good AI secret sauce built in an expensive privately curated training set that ate most of your funds.
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…
"Many of these funds are putting time and resources into securing data sets" - this is key.
Whenever I see announcements like this, it's very unclear to me what is meant by "AI." Are they talking about basically getting the most out of the current ML/deep learning type systems? If so then I guess building data sets makes sense but it seems more like an uninteresting business strategy than what I think of as pushing AI forward. If, on the other hand, they are talking about making progress on the more traditi…