cardigan

9 ms·

1.
by cardigan 7y ago
- SpaceX will land a human on Mars and create some super great marketing material. This will strongly galvanize interest in space. Many ambitious people will be interested in space projects or startups - deep learning will continue to amaze
2.
by cardigan 7y ago
Faces... Videos of all kinds of people and places.. Friend networks (via who you follow).. What videos you like showing what you think.. They have a lot of data
3.
by cardigan 7y ago
It's the nature of economic sanctions that there are real people's livelihoods which are directly affected. That happens with all economic sanctions... nothing unique about this one
4.
by cardigan 7y ago
Posting Nat Friedman's tweets here so they're easier to read - they're doing more than most companies about the whole thing, not sure where the vitriol in these comments is coming from: It is painful for me to hear how trade
5.
by cardigan 7y ago
OP here, just waking up (I'm remote) - I can't edit my original comments so let me modify them here: I wasn't involved in our communications with Lyft, so I was talking about something I didn't know much about. My audien
6.
by cardigan 7y ago
Also, the viewer packaged with nuScenes was built by Steven Hao from Scale, and while it was packaged as part of nuScenes it should probably be called Scale's viewer instead of nuScenes' viewer. The original viewer in the nuscenes
7.
by cardigan 7y ago
(I work at scale) Hmm this blog post and the website doesn't mention that this dataset was mostly annotated by Scale (scale.ai), as part of a partnership with Lyft ... We're going to publish a blog post about this soon, but if any
8.
by cardigan 7y ago
The interview goes into how this ties into formal reasoning towards the latter half.
9.
by cardigan 7y ago
Check out my other comment on this thread. I interviewed these folks and wrote the blog post (got lots of feedback from friends and design help from our awesome designers) - I'm a software engineer, not a PR department, lol :P I tried
10.
by cardigan 7y ago
Sorry I should've explicitly said this, but I was responding to just this part, not the part about the job being tedious: But I do see a lot of data around company engagement. There’s basically no chance this level of positivity
11.
by cardigan 7y ago
I'm a software engineer at Scale and the author of this blog post. Let's talk about Venezuela for a second. ~75% of the population lost >19lb in body weight in a year according to this survey: https://www.upi.com&#x2
12.
Positive Externalities: Stories of Labelers(scale.ai)
4 points by cardigan 7y ago|0 comments
13.
by cardigan 7y ago
This is so interesting. Because it can't be this hard to do this kind of physics simulation at the correct level of fidelity if you want to apply RL to physical problems
14.
Show HN: Light up the toes at your next party(toeglo.com)
5 points by cardigan 7y ago|2 comments
15.
by cardigan 7y ago
I think you're referring to the SupportAssist Client being an HTTP server - while it is weird that they exposed all those other routes, the driver install route allows for drivers to be installed from a website (which a named pipe woul
16.
by cardigan 8y ago
Oh sorry about that - these links should work: Backend eng: https://jobs.lever.co/scaleai/c1443865-f64e-4467-bfdc-898053... Frontend eng: https://jobs.lever.co/scaleai/9fe1f405-647b-493c-9728-e2c38
17.
by cardigan 8y ago
Scale | Backend/Full Stack and Frontend and ML | SF or Remote We label data for your favorite computer vision teams. Our mission is to accelerate the development of AI applications - we believe building a high quality labelled dataset
18.
by cardigan 8y ago
Scale | Backend/Full Stack and Frontend | SF or Remote We label data for your favorite computer vision teams. Our mission is to accelerate the development of AI applications - we believe building a high quality labelled dataset is the
19.
by cardigan 8y ago
An open source implementation which anyone could roll out would be pretty cool :-)
20.
by cardigan 9y ago
CoinHive provides two miners: one which runs without asking the user, and one which requires explicit consent from the user. The version requiring explicit consent is being used on the Salon website, and isn't currently being blocked b
21.
by cardigan 9y ago
An upper bound to the amount of information you need to transmit to have something built the way you want it built is how much you need to tell a good developer about what you want made before it is made to a satisfactory degree. And an upp
22.
by cardigan 9y ago
A better baseline than an out of the box OCR engine is applying some computer vision techniques before using an out of the box OCR engine. This can significantly out perform a pure OCR engine approach. (speaking from experience working on s
23.
by cardigan 9y ago
VR systems today are not used regularly by most people who own them, including even most people I know developing VR full time. Price point and being untethered doesn't change that. I'd guess the biggest hurdles are physical disco
24.
by cardigan 9y ago
Hmm, but what if the living creature had a density of neural circuitry similar to ours, and mainly interacted with things inside itself, and had slow propagation of knowledge? Not sure I understand this except under the hidden assumption of
25.
Real-Time Adaptive Image Compression(wave.one)
72 points by cardigan 9y ago|48 comments
26.
by cardigan 9y ago
Hmm, a model could also give you multiple very different designs to help you see more possibilities
27.
by cardigan 10y ago
Because this attack is not feasible against MD5 with current state of the art cryptanalysis. Instead collisions between files are demonstrated by appending bytes to two files until their hashes match.
28.
Motion sensing using the doppler effect(danielrapp.github.io)
2 points by cardigan 10y ago|0 comments
29.
by cardigan 10y ago
Fun fact: those plasticky end parts are called aglets Source: https://www.youtube.com/watch?v=Evcsj1gx1CE (I didn't forget it)
30.
by cardigan 10y ago
This is really cool. Do you think it will be possible to run MongoDB on an FPGA anytime soon?

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