scythmic_waves

12 ms·

91.
by scythmic_waves 5y ago
Whenever "Don't be evil" comes up, I can't help but think of this (nearly decade old) tweet [1]: > Google motto 2004: Don't be evil > Google motto 2010: Evil is tricky to define > Google motto 2013: We make
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by scythmic_waves 5y ago
Though he does admit [1] > So I had learned already that names don't constitute knowledge... That's caused me a certain trouble since because I refuse to learn the name of anything... What [my father] forgot to tell me was that
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by scythmic_waves 5y ago
+1 - Their free service is fantastic (though I've upgraded) - My wife and I coordinate tasks easily with it
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by scythmic_waves 5y ago
This aspect of SQL is my favorite example of a "leaky abstraction".
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by scythmic_waves 5y ago
Agreed, Greg Yang's work is really interesting. Here's a reddit thread by Yang discussing his research into why NNs are not Kernel Machines [1]. [1] https://www.reddit.com/r/MachineLearning/comments/
96.
by scythmic_waves 5y ago
Nice article! I thought they did a great job building up to explaining Hausdorff dimension and the Koch curve. I do wish they'd done a better job discussing time as the 4th dimension, however. It seemed shoehorned in at the end and was
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by scythmic_waves 5y ago
I also think that. But it appears we're both being downvoted for saying so. I'm not sure I understand why? HN is usually pretty tolerant of healthy skepticism. And it's not as if we're saying "this feat is impossibl
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by scythmic_waves 5y ago
I'm not so sure. 1. [EDIT: IGNORE THIS POINT] They've done this before. [1] 2. To get more specific, look at the robot's legs around 0:09-0:16. They don't seem to be moving normally. I don't have professional video
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by scythmic_waves 5y ago
That video is partly CGI, right? I can't find a smoking gun but it doesn't look entirely real.
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by scythmic_waves 5y ago
I had never seen Lamport's idea of structured proofs. I just read the linked paper and I love it.
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by scythmic_waves 5y ago
I've only just skimmed through this. And it's a subject I already know so I can't tell if it's actually a good resource. However, my initial impression is that I love it. I think that textbooks, math textbooks in particu
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by scythmic_waves 5y ago
Your cardboard skyscraper analogy is fantastic. It does a good job capturing the tone of my disbelief. I'm disappointed to see there wasn't a response because I was pretty willing to entertain the notion of business-logic-as-norma
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by scythmic_waves 5y ago
I'm curious, can you recommend an open source example that implements these ideas? My first reaction when I read > You just need to tack SQLite onto whatever preferred language you use today and model all your business logic as SQL
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by scythmic_waves 5y ago
Slightly off topic but the docs are really well formatted. [0] Link: https://morloc-project.github.io/docs/ [1] Code: https://github.com/morloc-project/docs/
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by scythmic_waves 5y ago
Same. I've found trailer music [1] works well for me while programming (needs to be relatively upbeat and without words, which I find distracting). You can find a lot of it on spotify. [1] https://en.wikipedia.org/wiki&
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by scythmic_waves 5y ago
Oh, good reference! I like "Peanuts Pattern" myself.
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by scythmic_waves 5y ago
I see this! I didn't think to ask if other have. Watching it doesn't help me fall asleep, though.
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by scythmic_waves 5y ago
> It's also worth it to note as well that this isn't a homogenous organization Please don't consider my critique of this paper as an indictment of DeepMind as a whole! > Many of DeepMind's opinion style papers are
109.
by scythmic_waves 5y ago
/r/MachineLearning discussion: https://www.reddit.com/r/MachineLearning/comments/nplhy3/r_r... I'm with most of the comments there. This paper is ridiculously hand-wavey.
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by scythmic_waves 5y ago
Was anyone else surprised that they used simple k-means for clustering the phonemes? I skimmed the paper and it looks like they use a really high k (128), presumably to avoid having to do an elbow-plot like approach. Maybe the computational
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by scythmic_waves 5y ago
It appears to be a lie. Or, at least, it hasn't been confirmed by the FBI as per my reading: > “No one from the FBI has ever made a public statement about what Abagnale has or hasn’t done for them,” Logan said. “He has given some gu
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by scythmic_waves 6y ago
Yeah I would pay money to have one of these at the top of every article I read.
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by scythmic_waves 6y ago
Convergent evolution [1] is a pretty fascinating phenomenon! Crazy to think it could happen for something as specific as a brain process like dreaming. Though I guess we all sleep so maybe it's not that crazy. [1] https://en
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by scythmic_waves 6y ago
Thank you! That was very informative :)
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by scythmic_waves 6y ago
Ah I was confusing the loss landscape with the parameter search space because you said "local optima". Yep, I imagine most parameter search spaces are convex.
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by scythmic_waves 6y ago
> This would mean that overall geometry is not a (big) factor when it comes to getting stuck on local optima. I thought the results only applied to convex shapes. Search spaces in ML need not be convex, right? Or am I missing something?
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by scythmic_waves 6y ago
It was, in fact, _the_ Don Knuth. You can see the proof on his site.
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by scythmic_waves 6y ago
HA! I just remembered that that proof was posted to /r/math a while back: https://www.reddit.com/r/math/comments/cl20l6/knuth_has_writ...
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by scythmic_waves 6y ago
> I really enjoyed Ben-David (and Shalev-Schwartz)'s book "Understanding machine learning". Good to hear! I only made it partway through (up through the kernel trick I think) but I keep meaning to come back to finish it. &
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by scythmic_waves 6y ago
I think about this sometimes. I think it's related to my interest in the philosophy of mathematics. From the SEP article [1]: > Bernays observed that when a mathematician is at work she "naively" treats the objects she is

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