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Suhail @Suhail
, 9 tweets, 2 min read Read on Twitter
1/ I spent a part of last week learning about self-driving cars. This doesn't even scratch the surface but for those just starting out here are a bunch of the most useful resources I found & read if you're interested too:
2/ A great lesson structure to get caught up on all the various key parts of what makes a self-driving car work: apollo.auto/devcenter/devc…
3/ An Introduction to LIDAR: The Key Self-Driving Car Sensor: news.voyage.auto/an-introductio…
4/ Under the Hood of a Self-Driving Taxi: news.voyage.auto/under-the-hood…
5/ Finding Lane Lines on the Road with Computer Vision: medium.com/@jovansardinha…
6/ Pay Udacity $1K to take their very in-depth, highly regarded course: udacity.com/course/self-dr…
7/ Very large open source autonomous driving platform by Baidu: github.com/ApolloAuto/apo…
8/ An opensource / opendata Level-3 Highway autopilot system for all modern cars: github.com/frk2/opencaret
9/ Feel free to add your own by commenting!
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Absolutely mind-blown that I had no idea that (1) You can install a Linux sub-system on Windows, (2) Which means you can run all Linux things, (3) I can't think of a great reason to use macOS (other than iMessage).

Microsoft has come so far. I had totally written it off.
Add hyper.is & you're golden.
Installing a sub-system isn't "dual booting." You can install Ubuntu while running Windows 10, apt-get install & run Linux programs at the same time. It's actually better than the half-supported UNIX that's on macOS for development.
Read 3 tweets
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Idea skepticism in a nutshell:
(1) Yeah but have you heard of X company that's doing it?
(2) What if Google/Amazon does it?
(3) I wouldn't personally use it
(4) Here's a history of everyone that failed (you will too)
(5) It's a crowded space already

Don't let it demoralize you.
Every founder who starts a new company goes through dealing with a set of these comments on their journey.

Rather than give-in & give up, I think it's more critical to validate whether there's a huge problem worth solving vs. validation through "what do you think" conversations.
Counters to idea skepticism:
(1) If it's so good, why aren't they massive yet?
(2) What if I focus on it & they don't?
(3) n=1
(4) Here's what's happened in the last 10 years to make it viable
(5) We're focused on solving X problem really, really well
Read 3 tweets
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Surprised to find how poor the support is to deploy AI models on mobile. Huge opportunity for someone to simplify this just like when it was tough to deploy apps in the early days of iOS & Android.

PyTorch -> ONNX -> Caffe2 -> Android/iOS is a messy, poorly documented process.
If you know of a resource, please help. I’ve extensively googled around & about to go off deep end & painstakingly figure out how each of those frameworks to make the thing happen. Ugh.
Running off of nightlys just to have a chance at this point.
Read 3 tweets

Related threads

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Chica and I have been apart almost all day. She does *not* approve.
To make it worse, I have
▪️Handled 1200 lbs of dog, puppy, and cat food in 50 pound bags
▪️Petted a dog she doesn't know
▪️Been to a place she's only smelled once before
And, being a dog, she knows all this. ➡️
But of course, we're *much* smarter than dogs.
Dogs never killed off half of everything that lived on Earth. Weren't smart enough, I guess.
Dogs never figured out a way to raise the temperature of the whole planet. Dumb dogs.
Let me be the first one to tell you:
The way humans live on Earth is a bigger ecological disaster than a fucking ice age.
We are approaching being as deadly as the asteroid that killed off the dinosaurs, and 99.735% of everything else with more than one cell.
(Made up statistic. But not that far off.)
Read 26 tweets
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Part one, teardown.

Part two, diagnose(?)

Part three, repair(???)
Where the fuck is my groundstrap???
Inside of laptop, back side of motherboard, cables disconnected
Read 94 tweets
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Here’s a thread on my History of US Capitalism graduate seminar, prompted by the response, both critical and positive, to my tweet last week, which showed some of the books that we will be reading. (Warning: this is a long thread.) 1/
Here's more of an explanation of how I conceive of the course and the field. My photo is like a partial list of ingredients. I’d like to share more about the recipe., to move from the historical version of "Chopped" to "Iron Chef" (or, you might think, "America's Worst Cooks") 2/
First some institutional context. The course is Cornell specific, responsive to the quirks of our graduate program. Because of our small Americanist cohort, we don’t offer “field seminars,” as some of the bigger programs do. Most grad classes have to serve dual purposes. 3/
Read 38 tweets
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"Self-driving cars just have to beat human drivers before they're good to go" is the kind of hyper-rational myopia that ignores basic human sensibilities. 40K/year die on US roads. Think we'll cheer for robot cars if they can just get that down to 38K? No. Need 10-100x better.
"Your son is dead because we shipped a bug in the AI code. We're really sorry about that! Here's a coupon for 2 years of free driving". No. Humans are not going to accept getting killed en masse by algorithms, even if strictly fewer die than by the hands of humans.
I can't imagine a worse job than working on self-driving AI algorithms. If you do the very best, you're simply fulfilling the expected prophesy of technology. If you make the slightest mistake, you've killed people.
Read 4 tweets
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Self-driving cars a great example, because in this case there are two competing approaches -- the symbolic one, mostly consisting of handcrafted software encoding human abstractions, and the deep learning one, learned end-to-end. One will get to L4--even L5, the other never will.
It's not that deep learning is intrinsically incapable of driving -- it's that the situation space is extremely high-dimensional (due to edge cases), and that a deep learning system requires to be trained on a *dense sampling* of the same space that the system will operate in.
Because such a representative, dense sampling is impossible to obtain, even when heavily leveraging simulated environments, the symbolic approach will prevail (specifically, an approach that is mostly symbolic but blends human abstractions with learned perceptual primitives)
Read 3 tweets
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I'm here for Day 2 of Waymo v. Uber. Yesterday's dispatch: theverge.com/2018/2/5/16975…
Line is down the hall again, maybe even worse than yesterday! Looks to me like it's more reporters than lawyers this morning but jeez, it's still 6
We're starting. First off: hearsay issues around Stroz report etc
Read 267 tweets

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