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adaszko

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Submissions

Good Calories, Bad Calories: A Critical Review

thescienceofnutrition.wordpress.com
3 points·by adaszko·3 anni fa·0 comments

Show HN: Complgen: Generate {bash,fish,zsh} completions from a EBNF-like grammar

github.com
2 points·by adaszko·3 anni fa·0 comments

Usenix SREcon APAC 2022: Computing Performance: What's on the Horizon

brendangregg.com
3 points·by adaszko·3 anni fa·0 comments

comments

adaszko
·6 mesi fa·discuss
How are you going to infer what's harmful if you're only going to research healthy people?
adaszko
·6 mesi fa·discuss
Just compare this with actual scientific findings and see for yourself: https://www.nature.com/articles/s41591-025-03570-5
adaszko
·2 anni fa·discuss
Check out Proxmox + https://tteck.github.io/Proxmox/ + lxc container snapshots on the NAS and set up Proxmox backup server on the Pi. I find such a setup to be "all benefit, no giving up anything", contrary to NixOS.
adaszko
·2 anni fa·discuss
http://pikchr.org/ is great
adaszko
·2 anni fa·discuss
Here's [1] how well the references check out for Taube's previous book. Is there any reason I should believe his newer books are any better?

Here's a study funded by Taubes himself (!) That disproves his earlier claims: https://examine.com/articles/low-fat-vs-low-carb-for-weight-...

[1]: https://thescienceofnutrition.wordpress.com/2014/04/05/good-...
adaszko
·3 anni fa·discuss
A new programming language based on "mutable value semantics" has been renamed from Val to Hylo. It was a frequent complaint that the former name was too similar to other existing languages like V, Vala, and Vale. Mutable value semantics is a new way to efficiently pass around data structures without having explicit references/pointers present in the language and complicating semantics. Pointers are basically relegated to a status of a possible optimization that the compiler can perform at the assembly level.
adaszko
·4 anni fa·discuss
Oh, interesting. Is v3 just a new API or a new algorithm altogether?
adaszko
·4 anni fa·discuss
There’s a Bayesian stats approach to spaced repetition: https://fasiha.github.io/ebisu/

AFAIU, SM2 computes the datetime of a next review, whereas Ebisu models a probability of remembering a given flashcard. It seems it’s a more straightforward representation that’s more amenable to implementing functionalities like “show me 10 least remembered cards”.