strebler

This problem is actually pretty obvious to fix and you don't even need a neural net - it can definitely be done "old school" computer vision.

Simply detect the presence of "flashing emergency lights" in the oncoming lane and disable autopilot when present. No object detector needed. The signal is so strong it's literally flashing extremely brightly in a regular, predictable pattern - any vision grad student should be able to figure this out.

Could there be false positives? Yep, but very few things will flash quite like that, and most half baked vision engineers can do this. The worst case is literally simply the driver taking over on occasion at night (maybe near strip clubs? lol)

I wholeheartedly agree. It's by definition an insult and I don't believe an academic measurement of stupidity (or intelligence) is a terribly fruitful endeavor. "My math says you're stupid!" is a place some people may go with this.

I try to think in terms of bias: "what biases do I possess that may cause me to yield an outcome that is negative?" or "what bias does person X have that lead them to those actions or words?"

I feel it promotes empathy, questioning and understanding. Not name calling. At least, it's helped me to figure out some surprising things about myself and others!

What, the elongated, shiny, rotating thing that was able to accelerate without any effect on its rate of rotation? Totally a comet, definitely, 100% guaranteed.

TF's deprecation velocity was way too high for my taste. Things we wrote would stop working randomly with their updates. I feel very similar to you about the models being "buried too deep" in their (ever-changing) machine. I much preferred how easy it was to hack Caffe V1 (once you got past the funky names, etc).

These days, I really like mxnet. Torch was a disaster, but Pytorch is much better. It's not bad in production, definitely my #2.

Interesting, however this just reflects an overfitted model. Fundamentally, this photo is not that different from a fashion influencer's posts.

We're a fashion engine and our system fully detected both of the people and all of their apparel (the person in question's shirt, his pants and it sees the "printout" as a low confidence handbag, as well as his shoes).

Not to say it would be impossible to trick our system, however, this method would not be sufficient given a good object hierarchy. Our system would have to have a triple miss across two methods - would need to miss his pants and his shirt and his body with the localizer, as well as his pants and shirt with the segmenter. And, if we were serious about detecting hiding people, you'd be surprised how gosh darn reliable the shoe detector portion is.

I don't see it being terribly feasible (and definitely not reliably so). Let's just say, it's not even close at all at this point. We miss zero of these things today.

I didn't quite understand, what is the problem with Instagram? It's too popular? Or just that it's not dropping in popularity vs Facebook (due to their recent adjustments)?

I wouldn't consider Instagram to be a messaging app - in fact they're spinning off another app from Instagram just to do messaging (because it's not exactly great at that).

It sounds to me more like Facebook might have some problem and Instagram is just doing it's own thing (as are Facebook's other services).

That's definitely possible they've already more or less decided. Either way, they're pulling off an impressive optimization to obtain maximum taxpayer funded subsidies.

That's incredible. Humalog is a quite similar low price in Canada. It's strange that it'd actually be economical for many American diabetics to just book a (yearly) flight to Canada and buy 12 months worth of insulin.

This is a really good article, I'm impressed. If you read only one deep learning article this month, make it this one.

I'm going to borrow that analogy of "teenagers perceptions of sex" - it's hilariously accurate for deep learning.

Exactly, do it or else he's going to take his ball and go home (or take his fund's money and go to China)

But don't tell him what happens if he ever tries to take his money OUT of China, we can let that be a "fun" learning experience for him.

I think they wanted to make it free but still deal with the fact that anything that isn't nailed down will get stolen in China. Even toilet paper - you should see the "rations" many hotels there give to guests for a night's stay.

The internet was actually fine for a long time (just proxy over SSH for everything). But they randomly "turn up the dials" on the firewall to block SSH and so you'll get intermittent outages. It's gotten progressively worse. We had a bunch of servers outside of China and I would need to basically round robin them to keep online.

I was actually somehow impressed by how sophisticated the firewall became over time from a pure technology point of view. Super annoying though.

I've lived and done a fair amount of business there. The car thing is true. I would say people there care a lot more about their immediate network of friends / family and a lot less about anyone else. It's very safe to live there, but at the same time everyone's trying to take advantage of everyone else - literal and metaphorical pickpockets are everywhere.

The inherent lack of trust makes workplace environments really difficult. Everyone's looking out for number one (themselves), to the point of damaging their own company for personal gain. You have no clue how hard it is to build a software dev team when ANY of the developers will happily copy the source code they have access to onto a thumbdrive and sell it to your top competitor for a modest payday. I highly respect anyone who builds a software team successfully in China, such a headache.

Frankly, the internet censorship was the deal breaker for me. No Google, gmail, facebook, twitter, news, etc, is just too much to bear.

But the food was really good, good weather and foreigners are treated like minor celebrities (everyone is really really friendly), so we don't experience real China like everyone else.