starchild_3001

8 ms·

31.
by starchild_3001 5y ago
This, TAME and TRIIM-X trials are the humanity's best hope (in the short term) to live longer. Until then, keep exercising, maintaining a healthy weight, and seeing your Dr regularly. Fasting too helps!
32.
by starchild_3001 5y ago
There has to be limitations to the use and distribution of data. E.g. sensitive topics should be disallowed to be tracked. Otherwise, personalized ads are great. They make our lives immeasurably richer by enabling a free internet. They make
33.
by starchild_3001 5y ago
I remember a debate a couple of years ago where some woke scientists were arguing men and women brains are indistinguishable. Others were saying there are distinguishing features. This kind of analysis may put an to that debate. Edit: This
34.
by starchild_3001 5y ago
College is a mix of virtue signaling, a proof of analytical and other abilities, a learning environment. Employers want smart and capable people, best colleges produce the smartest and often most capable people. Roughly speaking there'
35.
by starchild_3001 6y ago
I thought this is very cute. Playing these as chords or arpeggios, then adding other features to put them together to form a melody or chord progression, then hearing the effects would be super cool.
36.
by starchild_3001 6y ago
Goop sounds so much like poop (=> uBiome), I find the connection appropriate.
37.
by starchild_3001 6y ago
1. Biological-age clocks. 2. Treatments that reverse aging in tissues and organisms. Expect major breakthroughs in these areas in a decade or two with direct implications for human health and lifespan.
38.
by starchild_3001 6y ago
P1: What's your company's business model? P2: Oh, it's extortion based. P1: Wow, sounds great!
39.
by starchild_3001 6y ago
Yup my experience isn't too far off.
40.
by starchild_3001 6y ago
My 20 something person startup managed their glassdoor ratings like a hawk. Any low star ratings were immediately challenged (through official channels at glassdoor to remove them) and current employees were asked to write glowing reviews t
41.
Show HN: Principles for Success
3 points by starchild_3001 6y ago|0 comments
42.
by starchild_3001 6y ago
I see a lot of critique. I would like to thank the author for opening up my mind. There's plenty of well organized, food-for-thought here.
43.
by starchild_3001 6y ago
I (or any math noob) can easily understand the pigeon hole principle. His more detailed arguments about max, avg and a bunch of other stuff is more obtuse and harder to follow. IMO, pigeon hole principle, where applicable, wins this argumen
44.
by starchild_3001 6y ago
Ray Peat is an interesting researcher. His ideas tend to be original (as in he does his own research & analysis). Yet, I find a lot of things in his writings that don't gel with my research or the broader research. Namely, he does
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by starchild_3001 6y ago
Let's just say it's hard to predict the future :)
46.
by starchild_3001 6y ago
Google will definitely be on this list. Great tooling. Great SW development culture. Strict requirements on code quality. Mandatory testing. Mentorship and continuous reviews for writing good code.
47.
by starchild_3001 6y ago
Buyer beware. Before Covid, many things were called turning points. They weren't. E.g. the financial crisis was supposed to be a turning point in history. It wasn't. It was a continuation of degration of power and culture in USA t
48.
by starchild_3001 6y ago
The dude is talking about probabilities and distributions, while the stats-ignorant public is generalizing to every individual. It's impossible to have a scientific and open minded debate about the differences between genders. Even the
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by starchild_3001 6y ago
Let's argue about that when there's a modicum of evidence :)
50.
by starchild_3001 6y ago
Is it just me who found the technical description and analogy here lacking? There's nothing that suggests electrons are a cloud. Yes, a "cloud" defines the probability where they can be found, but electron doesn't occupy
51.
by starchild_3001 6y ago
I've been an ML practioner since 2009. I've used every method imaginable or popular, I think. With the exception of non-linear SVMs. Linear SVM => All good, just the hingle loss optimization. Non-linear SVM, a bit of overkill w
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by starchild_3001 6y ago
Someone once said Seinfeld is the best comedy ever made and can ever be made (non-causal optimum). I welcome the awesome looking game!
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by starchild_3001 7y ago
Haha, I thought it was only me who thought this way :) I did enjoy learning Scala. It expanded my horizon. And, I enjoyed coding in it. The code written by experts were at a whole another level. Couldn't make much sense of them. Maybe
54.
by starchild_3001 7y ago
I was a data scientist for one year. Experienced many of the adverse situations explained in the article, plus I thought it isn't for me. I joined my next job as a software engineer (after an extensive interview prep). Couldn't be
55.
by starchild_3001 7y ago
> Therefore I first split the data into training and testing sets at a ratio of 9:1, and selected the 25 most correlated features in the training set. Each of these features had a correlation with age between 0.83 and 0.94. > The data
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by starchild_3001 7y ago
Yeah, that's what I thought too. Interesting work nonetheless!
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by starchild_3001 7y ago
Not sure who downvoted you, but thanks for sharing this important snippet of history. Without pioneers (who often don't get it fully right), there'd no discoveries or progress.
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by starchild_3001 7y ago
OpenAI is clearly more secretive than the AI industry giants (internally & externally). This doesn't diminish their work (e.g. GPT2 or CMA-ES for RL). But this whole thing sounds like paranoia. I doubt if T1000 will suddenly emerge
59.
by starchild_3001 7y ago
To my untrained eye, many of these images are as good as anything else I've seen from humans. What qualities make me say that? Your images create a visceral response. They evoke a lot of interesting thoughts and feelings. If anything t
60.
by starchild_3001 7y ago
Seeing more relevant ads => good Getting your data sold to a data broker => bad free web sites & internet => good having to pay for quality content => bad (gee, who pays for NYT or WP after they're put behind a paywall?

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