argonaut

44 ms·

481.
by argonaut 10y ago
Twitter's bylaws (and those of the other companies) are ambiguous. They do not clearly say a VP = officer. They only use them in the sense that they mention them in the same sense.
482.
by argonaut 10y ago
Yes. But when 1% optimization means millions in revenue, you're going to throw a lot of engineers at the problem.
483.
by argonaut 10y ago
Facebook has multiple VPs of product. So does Google. This is common...
484.
by argonaut 10y ago
He was A VP of Product. Not The VP of Product. The head of product is Keith Coleman, who was preceded by Edward Ho (interim, now also (interim?) head of engineering) and preceded by Jeff Siebert (both of whom are still at the company).
485.
by argonaut 10y ago
Yeah that sounds about right.
486.
by argonaut 10y ago
I don't think this is as big a deal as the Twitter departures earlier this year. Several years ago Adam Messinger was already more or less sidelined from the engineering organization when Chris Fry was made VP of Engineering (CTO does
487.
by argonaut 10y ago
Actually, that makes total sense. There are multiple VPs at engineering firms. People always complain about how big Twitter is, how they can't believe how many employees Twitter has, but people don't realize Twitter has two "
488.
by argonaut 10y ago
It's not about newness. There are several things that are flat out wrong in the article.
489.
by argonaut 10y ago
Yes. I think you're answering your own questions?
490.
by argonaut 10y ago
This is neither basic nor an introduction, and has several inaccuracies. My guess is the info is from the 90s era of neural networks. Reply to below: it uses pretty complicated language and doesn't explain many terms (e.g. activation f
491.
by argonaut 10y ago
See my sibling comment. It matters because it's a very strong (to academic/industry researchers) sign of quality and whether the paper is worth reading. If you wanted to just put something out there you could just put on arxiv.
492.
by argonaut 10y ago
> It's probably easier for someone versed in the field to just read the paper to determine if it's interesting. > If you're using the conference as a quick pass/fail as you skim through the abstracts of hundreds o
493.
by argonaut 10y ago
Sorry if I'm being snobbish, but I do wonder why this paper is only being submitted to IJCNN, a 2nd tier machine learning conference. I know students who publish undergrad research at workshops with lower acceptance rates than IJCNN. I
494.
by argonaut 10y ago
I've almost never seen a programmer in SV whose job duties and pay mean they fall under FLSA. What are you referring to? Maybe a student programmer, I guess.
495.
by argonaut 10y ago
You are only right the USA has no unions for tech . In other industries unions are still there (public sector and manufacturing mostly). The USA has labor laws, and they are enforced. And they affect Silicon Valley worker lives daily . No
496.
by argonaut 10y ago
IB/management consulting are paying you $100k+ at the entry level and $200k-$1M+ at higher ranks. PE is paying you $300k to multi millions. All three professions are extremely high status professions. Lets just say we are not compari
497.
by argonaut 10y ago
While I agree with your observations, there is also some element of selection bias. Most Chinese students that are able to make it to the US come from rich families since most internationals don't get financial aid (so maybe they'
498.
by argonaut 10y ago
None of which affects California and New York state labor laws.
499.
by argonaut 10y ago
Code is only easy to replicate when they give you or publish the code. This is not true of many ML papers. In the words of the second author, a 3% accuracy difference on this particular dataset is a "huge difference." In fact, d
500.
Post NIPS Reflections(inverseprobability.com)
2 points by argonaut 10y ago|0 comments
501.
NIPS 2016 Reflections(machinedlearnings.com)
2 points by argonaut 10y ago|0 comments
502.
by argonaut 10y ago
The second author of this paper was unable to replicate the results. He was merely advising the first author, who actually wrote the code. Source: (requires Google login) https://groups.google.com/forum/#!topic/w
503.
by argonaut 10y ago
Games are a huge market but it's also extremely competitive and difficult to build a lasting advantage over your competitors. It's all hits-driven, so in many respects competing is closer to running a Hollywood studio than a tech-
504.
by argonaut 10y ago
Yes it's quite obvious GV and Gcap are not in Magic Leap. But it doesn't mean they passed on Magic Leap. It could've been that Google Corp told them to back out because they were doing it alone. Speculation of course, but h
505.
by argonaut 10y ago
To be clear, many of the things you just mentioned are feature engineering-related and don't have much to do with ML. Car construction/modification research is going on. It's what car companies are doing... Driving is not a v
506.
by argonaut 10y ago
Sure, but my point still stands about all of these people having worked at rich tech companies or being funded by rich tech companies.
507.
by argonaut 10y ago
This is very interesting. Do you have a source on this? I can't find anything online.
508.
by argonaut 10y ago
No? Goodfellow has a PhD from UMontreal (one of the deep learning academic powerhouses), advised by Bengio. He then joined Google Research and then left for OpenAI (which has a billion dollars in funding and is backed by YC/Elon Musk).
509.
by argonaut 10y ago
Florin_Andrei is clearly including recursive/tree NNs when (s)he says current NN's are flat (and I think depending on how you define "flat" I think this is accurate).
510.
by argonaut 10y ago
The analogy is a bit mixed up. Driving a car has been democratized. Actually going in and fixing/modifying a modern car is increasingly less accessible/democratized, though still possible with quite a bit of training. Car inte

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