xiaolingxiao

Has anyone tried to turn this into a "product or experience" of sorts, and care to share their experience in doing so?

Considering a hardware robotics startup right now. Can you expand on this : All the "user friendly" gimmicks are just obstacles in their way.

And what were some of your other conclusions having worked on an arm solution?

The lab i works had had a rethink robot for research purposes. It seem to be part of a wave of consumer-facing robots that have all since folded. With the exception of Waymo, DJI, and skydio. You have to remember at the time eveyone was searching for the next big computing platform, and it wasn’t that clear the iPhone would be it. After the iPhone succeeded, hardware investors became even more convinced, especially when money was cheap.

Has anyone heard of this launch will be associated with a launch of an SDK for app developers as well?

The same shifting criteria were applied to Jews. In the early 1900s proficiency in Latin was required because only prep school offered Latin, so it was an implied filter that’s nonetheless “impartial”. Then Jews became very good at Latin, so the ivies phased out Latin as a criteria and began admitting talent from the interior, because Jews did not settle there. So this whole game is applies to Asian Americans now, not at all surprising

Would you be willing to expand on thst?

Writing a full CRUD todo app on both web and iOS helped me understand things a lot better. The most important thing is to keep it simple, and by going across platforms you can see the importance of good data representation design.

The idea is to start off by making bad decisions, and slowly refactoring your way to good abstraction, this helps you intuit the reason for abstractions.

Can other expats who has since left, or have decided to stay, share their experience as well?

So I did a lot of ML work in grad school and have also built 4 iOS apps and two web apps. I can tell you building statistical models is not a very interesting grind, it’s mostly cleaning data and fiddling parameters. It’s also unlikely anyone would hire non-stat/math degreed person to do that stuff. On the other hand you’re prob goood at turning models into a. Usable product. Here’s a recent library to do that in NODE https://github.com/transitive-bullshit/scikit-learn-ts

Note this was published dec 2022.

I concur. The person in the lawsuit Beth winkelstein is an absolute academic bully, eveyone who has ever come across her knows it. It just goes to show how little accountability there is in the University.

A movie express this exact scenario: https://m.imdb.com/title/tt1821641/

The funny thing is that th book it’s based on satirizes the falsehood of Soviet communism, the movie satirizes the falsehood of consumer culture as an opioid.

how does this affect DCG, one of the biggest bag holder in the space.

Does anyone have a non paywall version of this?

I believe this is the papers that got timnit and mmitchel fired from google, followed by a protracted media/legal campaign against google and vice versa.

Could you explain why being South Indian Brahmin is significant here?

ok that's helpful thank you. Is there someone in your office whom I may contact for more questions? Perhaps over a call.

Hey how far along are the side projects when ppl apply to SP? Is there a penalty if people are too far along?

hey i also build mobile apps in swiftui. do you have more resources on why $binding could be slow?

I read it before studying cs and I thought it was fascinating and made me want to study it. After studying it at the grad school level I re read it and found the book somewhat pedantic. It’s a bit like the black swan in the regard: it package advanced under grad level stem topics with colorful anecdotes and musings.

Could you expand in this? Do you mean material way of life or how people treat each other socially.

Sharp take. Dapper labs is having he same issue with nba, their license ended and now they’re scrambling to find the next nft thing. Could you speak about angry birds tho, they own their IP but havnt really had success after the mobile craze wore off. Is it even possible to have a prolonged media franchise, regardless of who owns it?

Hey I’m making a product for self publishing. Could I ask your bother a few questions as one of the people who have successfully done it?

So you mean fund magazines or writer collectives? I feel like mirror was trying to be that but then moved away from it. Presumably because peopel don’t want to read the same crypto shill articles over and over again

could you expand on what you mean please?

Did you say your vc fund? As in a fund or vc funded startup

This should be a movie.

From public information it's a matter of price and "appearance." No one who's half serious about understanding how the system work would use cameras alone, but remember of all the companies who's serious about putting self driving cars on the road, Tesla is the only one who designs, manufactures and sells cars. Incidentally, Tesla is also the only car company pushing camera only as a "solution" which again, it is not. All other outfits are tech pure plays, so their incentive is more geared towards a working system, because that's the only thing they can sell aside from the dream. If Tesla fails with a camera-only self driving car system, they can still sell cars. Source: used to work in robotics, all my classmates from grad school work or have worked at a self driving car company.

it has become significantly better, especially that of SwiftUI. When I followed the doc this summer, I actually got up to speed very quickly on swiftUI. I will say Rayenderlich has a habit of either over-engineering things, or engineering things in a way that's not needed in my use case. So I find his tutorials to be a reference at best.

Your suspicion is correct. I worked on such a dataset paper and worked to "beat" other methods on well-accepted benchmarks with dubious accuracy scores. One fundamental issue is that outside of POS tagging, there isn't a notion of empirical truth to measure against, only a small sample of what a "normal person would think." This stands in contrast to computer vision, whereby in a task such as monocular depth perception from a single frame, you can always measure against a Lidar-scanned depth map. The system can still overfit on the benchmark and they do, but at least the baseline truth itself is not in dispute. But questions such as: is this the "appropriate" response to a query is too open to interpretation.