Viewing profile — falkaer
falkaer
HN member- Joined
- Tue, Sep 24, 2019, 9:41 AM UTC
- HN karma
- 338
- Public activity
- 19 items
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About falkaer
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Recent public activity
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Comment #37621867
Those new language constructs are exactly what's enabling the performance gains, by giving reliable information to the compiler. Projects like numba have clearly demonstrated the l…
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Comment #37443550
It's only closed-source for now, with plans to open-source the language when it's more finalized - similar to LLVM early on. Not sure if it says so explicitly on their website some…
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Comment #34388224
I use the dwindle layout which is similar to bspwm in automatic splitting mode. One advantage is you can drag and drop windows into other nodes, which will be split appropriately, …
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Comment #33328227
I'm curious, why not use LLVM?
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Comment #28941503
The M1 (laptops) do emulate x86, and the M1 (chip) has a few x86 specific instructions to improve emulation performance
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Comment #25405085
I used this blog post as the basis for a small library to control my own closely related LB130 lightbulbs from the command line a while ago[0], works like a charm. [0]: https://git…
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Comment #25003364
With PyCharm I've managed to hide every single part of the UI besides the editor itself (I only had to get one plugin for the last bit, main menu toggler) and just use keybinds to …
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Comment #23377149
You are given money (5.435 dkk monthly after tax) for attending university in Denmark and pay no tuition. This is in stark contrast to most other countries.
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Comment #23100607
How unfair indeed of them to release the model as open source with an accompanying freely available paper explaining all the details of it
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Comment #22544488
If the solution program is sufficiently complex (as one would imagine it to be in non-trivial cases where we use AI, e.g. computer vision, speech synthesis, etc.), what makes you t…
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Comment #22004659
Python defines += as the __iadd__ method which is sometimes mutating, i.e. if the object being assigned to is mutable or not.
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Comment #21637524
By far the most interesting part of this release is the new multi-threading features, I recommend reading https://julialang.org/blog/2019/07/multithreading for an overview, and wat…
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Comment #21240264
They're frameworks which implement high performance tools commonly used in ml problems like tensor operations, automatic differentiation, various gradient descent optimisers, and a…