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npr11
searching Neon…
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1.
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Can we stop AI making humans obsolete?
(theguardian.com)
1 points
by
npr11
1y ago
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1 comments
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npr11
4y ago
Been using JuMP as a central part of a big project at work for the past 18 months and it's been great. Very intuitive to use, and lots of helpful responses on GitHub or discourse wherever there's been questions about the best way
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Inlining 101
(aviatesk.github.io)
2 points
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npr11
5y ago
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0 comments
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npr11
6y ago
Really nice to see so many little useability improvements -- like easy temporary envs, syntax highlighting in dependency conflict errors, and more partially-applied functions -- as well as more significant language development on threading,
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npr11
6y ago
Funny you should mention the asterisk, as the author of JuliaMono has just written a brilliant blog post about it: https://cormullion.github.io/pages/2020-10-09-asterisk/
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by
npr11
6y ago
Similar functionality is available in Julia via [NamedDims.jl]( https://github.com/invenia/NamedDims.jl/ ) And in other packages, such as [AxisArrays.jl]( https://github.com/JuliaArrays/AxisArray
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npr11
6y ago
If they might enjoy something on computing, I'd recommend "The Pattern On The Stone: The Simple Ideas That Make Computers Work" by W.Daniel Hillis. It's very clear and well written, is quite short but covers a lot and c
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npr11
6y ago
Automatic differentiation. It's useful to so much computational work, but most people only get a cursory introduction to the topic (a rough intro to the minimum they need to know), whereas really understanding it seems to open up a lot
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npr11
7y ago
I should have been more specific; I was thinking og the "Unrecognised Simplicities of Effective Action" blogs in particular.
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npr11
7y ago
Dominic Cummings https://dominiccummings.com/an-index-of-blogs-articles-paper...
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npr11
7y ago
Nice article! If you like this, you might like the Julia language. It has "lisp macros" but generally has "python-like" syntax Edit: here's a link to docs https://docs.julialang.org/en/v1/m
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npr11
7y ago
For being immensely practical, I'm a big fan of 1. "An Elegant Puzzle: Systems of Engineering Management" 2. "High Output Management" 3. "Peopleware: Productive Projects and Teams"
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npr11
7y ago
Really useful examples; especially the data in rows versus columns example :)
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npr11
7y ago
Cool things you probably should never do in Julia
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npr11
7y ago
I work at company using Julia in production. What sort of recommendations are you looking for? :)
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npr11
7y ago
Even newer... so early days, but you might also be intereting `MagneticReadHead.jl`. The debugging instrumentation gets compiled into the code. https://github.com/oxinabox/MagneticReadHead.jl
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npr11
7y ago
> Revise.jl allows you to modify code and use the changes without restarting Julia. Might be helpful :) https://timholy.github.io/Revise.jl/stable/
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npr11
8y ago
This looks awesome! Thanks for making a working library and a great introduction :)
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npr11
8y ago
Julia :) For scientific programming, it's a lot more fun than Python. And so far the community if friendly and responsive.
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npr11
8y ago
This post seemed aggressive and vague to me. I'm not even sure what problem the author has with these licenses. I _think_ the issue is confusing naming - which seems pretty solvable - and not a fundamental problem with "dual licen
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Emergent Ventures: a new project to help foment enlightenment
(marginalrevolution.com)
3 points
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npr11
8y ago
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0 comments
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npr11
8y ago
Beyond the state of the Julia Language (which I am excited to try out since 1.0), the core community comes off really badly in this post, and the previous follow-up discussion on HN [1], and julia-users group [2]. [1] https://new
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Bayesian P-Values
(nowozin.net)
2 points
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npr11
8y ago
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0 comments
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Ask HN: Best resources for learning Julia?
6 points
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npr11
8y ago
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2 comments
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How feminism has made me a better scientist
(andrewgelman.com)
3 points
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npr11
8y ago
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0 comments
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by
npr11
8y ago
1. It's your meeting and you should write the agenda, not your manager. Usually this is 1-3 things you want to tell/discuss with him/her. It can help to keep note of important things that come up during work for you to discu
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npr11
8y ago
Is there a link to the paper?
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npr11
8y ago
This is a neat paper - it's an interesting empirical result combining known techniques - but machine learning academics should really know better than to contribute to the over-hyping of results. For example, talking about "dreams
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npr11
8y ago
TL;DR version at https://social.shorthand.com/LordsAICom/32KXpihQLj/ai-in-the...
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UK House of Lords Report on AI
(parliament.uk)
3 points
by
npr11
8y ago
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1 comments
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