jellyksong

5 ms·

1.
WeWork Files for Bankruptcy Amid Glut of Empty Offices(nytimes.com)
3 points by jellyksong 3y ago|0 comments
2.
by jellyksong 4y ago
Our team is in a similar position right now — I’m curious how you decided on Highcharts as opposed to other options like Plotly.
3.
by jellyksong 4y ago
Basic question: Why is this faster than running Intel Linux apps in an emulated Intel Linux VM? Because Rosetta is faster than QEMU, and you only need to emulate one application rather than the entire kernel?
4.
Bitsquatting(en.wikipedia.org)
8 points by jellyksong 5y ago|0 comments
5.
by jellyksong 5y ago
There's an amazing game, 4D Toys [1], that lets you interactively play with 4D objects in a 3D environment. It's great on iPad. I believe the developer had to create a custom physics engine to support 4D space [2]. [1] https:&#x2
6.
by jellyksong 5y ago
I believe some algorithms, like AutoML-Zero, search on the level of mathematical operations.
7.
by jellyksong 5y ago
This is basically what the field of neural architecture search tries to do. Here’s a good (somewhat technical) introduction: https://lilianweng.github.io/lil-log/2020/08/06/neural-archi...
8.
by jellyksong 5y ago
In the same theme, there’s a recent documentary called “The Weight of Gold”, narrated by Michael Phelps and other Olympic champions. Really poignant stories.
9.
by jellyksong 5y ago
> Thankfully these days Cloud Native Python apps are built around less monolithic options such as Flask, Pyramid, or Tornado. FastAPI is also a very popular choice these days, arguably more so than Pyramid and Tornado.
10.
by jellyksong 6y ago
Pretty cool! If you're into these kinds of historical illustrations, I highly recommend the wonderful EdX course "Visualizing Japan". https://www.edx.org/course/visualizing-japan-1850s-1930s-wes...
11.
by jellyksong 6y ago
Two questions: 1. I wonder how many times the test set can be used on "incremental changes in future versions of the model" before losing statistical validity. 2. This article describes their process, but not the FDA's proces
12.
How to Build Good Software(csc.gov.sg)
1 points by jellyksong 6y ago|0 comments
13.
by jellyksong 6y ago
They show up in roots of polynomials with real coefficients.
14.
The White House Launches the National Artificial Intelligence Initiative(whitehouse.gov)
18 points by jellyksong 6y ago|0 comments
15.
Show HN: Adversarial.js – hack neural networks in the browser(kennysong.github.io)
6 points by jellyksong 6y ago|1 comments
16.
by jellyksong 6y ago
This article is about optimization (finding good parameters), not the approximation power of neural networks (which is well-known through the universal approximation theorem).
17.
Palantir Titan(palantir.com)
3 points by jellyksong 6y ago|0 comments
18.
by jellyksong 6y ago
Why doesn't this work for new industries?
19.
by jellyksong 6y ago
Can you explain why "the data generating process of the real world is totally not obivious" is a problem for Bayesians but not frequentists?
20.
by jellyksong 6y ago
I was thinking MPC might work for set intersection. For oblivious query, can't you do it by sending the query directly into the remote trusted execution environment, encrypted with the TEE's public key?
21.
by jellyksong 6y ago
The article claims that oblivious query, set intersection, and machine learning on private data are not possible without FHE. However, aren't they all possible either with secure MPC or hardware based enclaves e.g. AMD SEV?
22.
Conifer – collect and revisit web pages(conifer.rhizome.org)
48 points by jellyksong 6y ago|5 comments
23.
by jellyksong 6y ago
A bunch of the papers I found from a quick Google search use secure MPC rather than FHE for interbank fraud. Which one is more practical these days wrt latency?
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by jellyksong 6y ago
It doesn't look like HElib implements TFHE, though. Are BGV and CKKS equally fast?
25.
by jellyksong 6y ago
What's the advantage of using FHE in this example as opposed to Secure MPC?
26.
by jellyksong 6y ago
Author here: There are two ways to implement autograd, reverse-mode and forward-mode. Reverse-mode is what minigrad uses, and what most ML libraries these days use by default, since it computes gradients of all inputs (wrt one output) in a
27.
Show HN: minigrad – a minimal, educational autograd library (~100 loc in Python)(github.com)
5 points by jellyksong 6y ago|3 comments
28.
Dithering(daringfireball.net)
16 points by jellyksong 6y ago|4 comments
29.
Why Telling People They Don’t Need Masks Backfired(nytimes.com)
48 points by jellyksong 7y ago|22 comments
30.
by jellyksong 7y ago
The sublime. https://en.m.wikipedia.org/wiki/Sublime_(philosophy)

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