tech_ken

15 ms·

151.
by tech_ken 2y ago
To anyone who knows: have their been similar comparison studies between non-exercise movement and exercise movement? Like cycling vs. learning the piano?
152.
by tech_ken 2y ago
This is a good point, maybe the dance studio has a better air filtration system than the other exercise location
153.
by tech_ken 2y ago
> The authors' claims about BDNF are supported by a p-value of p = .046, and having main conclusions hinge on p-values of p > .01 usually means the conclusions are rubbish. Your other points I agree with but I actually think the
154.
by tech_ken 2y ago
I'm pretty sure you're sampling the "bedposts" as well, the upper and lower subgraphs aren't just connected at every node; I understood the rough (and incorrect) intuition to be like: P[nodes in upper bunk connecte
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by tech_ken 2y ago
> If the workers had banded together and put their efforts into creating a path to become part-owners of the businesses they worked in (and taken on some of the risk involved in that) they'd have made real progress over the last how
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by tech_ken 2y ago
Oh nice my bad, I was just looking at the tables
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by tech_ken 2y ago
> is more of a numerological coincidence, the actual estimate that Rayleigh gives is half of that! I definitely thought so too, in the first paper the 1.67 isn't even really his primary guess so definitely some presentist bias in th
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by tech_ken 2y ago
Ahhh that's cool, thanks for clarifying
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by tech_ken 2y ago
It's really ( really ) quick but the first line of the second para is: > In view, however, of the great interest which attaches to the determination of molecular magnitudes, the matter seemed well worthy of investigation... So it se
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by tech_ken 2y ago
Blog post seems to have elided this point, but it did link the original paper which was quite short: https://www.damtp.cam.ac.uk/user/gold/pdfs/teaching/old_lite... Rayleigh's experiment was actuall
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by tech_ken 2y ago
> That’s really it; humanity discovered an algorithm that could really, truly learn any distribution of data (or really, the underlying “rules” that produce any distribution of data) Seems like it's very much the former, and not all
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by tech_ken 2y ago
Wow this looks so good, do you insert the phone with the case still on it?
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by tech_ken 2y ago
If you're interested in the qualitative distinction between subtractive and additive synthesis this is a fun practical example of why you might use the latter that I like a lot (implemented in operator no less :) ) https://w
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by tech_ken 2y ago
Oop and I just convinced my wife and brother to move over :o Props to her, she asked about the security and privacy of the browser and I played it off with some fanboy propaganda. Lesson learned on that one. If I only care about the vertica
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by tech_ken 2y ago
Is the idea that if my year_quarter parser is properly typed then it should detect the format change and throw an error? (kind of a silly example, just trying to be illustrative)
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by tech_ken 2y ago
I would say that vast majority of type problems in data science/stats workflows come from data tables "trojan-horsing" type or missing data issues, rather than type problems strictly at the code level. Type annotations won&#x
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by tech_ken 2y ago
Curious what percentage of Amazon SWEs are H1B, because in my experience people who's ability to live in this country is tied to their continued employment are highly reticent to do anything that might rock that boat (like sign a uni
168.
by tech_ken 2y ago
Union-busting campaigns are extremely effective, and honestly labor unions have gotten very lazy about building new units. "Hot shop" focused organizing plus a "we'll fire you if you sign the card (not really :) ) (yes r
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by tech_ken 2y ago
It's an interesting follow-up, though I will say that addressing this or pretty much any other counterpoint pushes me over the three sentence limit that was requested :) To your point directly: successful contract negotiation almost ex
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by tech_ken 2y ago
Mine is: "Why negotiate alone? Your employer has an army of lawyers and HR types to prepare your contract. If you and a bunch of coworkers pool your resources you can benefit mightily by hiring someone to sit on the other side of that
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by tech_ken 2y ago
Is this different from when I said: > It's not just physics that drives interesting math, and it's not just recently that this relationship holds When you say > So much of it was invented by someone just noodling around with
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by tech_ken 2y ago
I don’t think his point and mine are incompatible, the language can have beauty in its own right and still be a model. Legos can be built into something which resemble a house, or something which resembles nothing real; their usage is a sep
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by tech_ken 2y ago
> Hitchin agrees. “Mathematical research doesn’t operate in a vacuum,” he says. “You don’t sit down and invent a new theory for its own sake. You need to believe that there is something there to be investigated. New ideas have to condens
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by tech_ken 2y ago
Well also the idea of physics as the field we currently have didn't exist much before the 17th century. Movement of bodies, astronomy, fluid dynamics, electromagnetics, optics, etc. all kind of were their own thing (if they existed at
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by tech_ken 2y ago
I would not say pandas is a recreation of SQL/Spark, they have very different use-cases in my experience. SQL/Spark is like a bulk data management tool: I use it if I need to load massive data from some remote store, perform light
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by tech_ken 2y ago
Idk man I'm just responding here, fit it into your own situation as appropriate
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by tech_ken 2y ago
Right, I’m saying that if you’re looking at a roadmap and it’s vague then you need to give feedback and walk. Businesses are failing because of what you’re describing, hopefully the survivors have figured out more effective management strat
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by tech_ken 2y ago
> > Fourth, organizations might not have adequate infrastructure to manage their data and deploy completed AI models, which increases the likelihood of project failure. > Sounds like lack of capital. I actually think this is also a
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by tech_ken 2y ago
Sure that makes sense, overall "success of a technology product" seems like a very fuzzy thing to try and measure so I imagine one could spin the numbers basically however you want
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by tech_ken 2y ago
From the RAND report "First, industry stakeholders often misunderstand — or miscommunicate — what problem needs to be solved using AI." From personal experience this seems like it holds for most data-products, and doubly so for ba

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