nextos

36 ms·

781.
by nextos 3y ago
Yes, some channelopathies are simple Mendelian traits, i.e. just one variant is explaining most of the phenotype variability.
782.
by nextos 3y ago
What the OP said is backed by large studies. For example, the HackerRank 2020 study (n=116,000) found that developers who code for fun tend to score higher on skill assessments. The statement in my previous post, where I claimed most good p
783.
by nextos 3y ago
Rust is great for well defined tasks that are not too exploratory and/or will be ran many times, so performance matters. There are quite a few interesting statistical inference tools being built on Rust right now. Julia is fast, but it
784.
by nextos 3y ago
Rust still has some key pieces missing, but looks promising, see: https://github.com/wiseaidev/rust-data-analysis F# has a very decent data community: https://fsharp.org/guides/data-science and h
785.
by nextos 3y ago
Maybe the parent post is exaggerating a bit, but I think that at least it is fair to say that most good programmers began programming just for fun. And when managed well and presented with interesting problems, they will become highly produ
786.
by nextos 3y ago
HMMs are much more similar to S3, S4, and other deep state-space models than to transformers. In fact, HMMs are discrete shallow state-space models. I believe S4 and successors might become serious contenders to transformers. For a detailed
787.
by nextos 3y ago
That's your opinion, but I've seen firsthand that there's a lack of controls in this area.
788.
by nextos 3y ago
I think it is used in lots of places where modern probabilistic inference would be a better fit. In other words, look at methods that are in Murphy's volume 2, rather than 1, especially parts II, V, and VI: https://probml.gi
789.
by nextos 3y ago
I don't fully agree. Things are becoming quite simple, which is scary. There's a well-intentioned lobby in the UK advocating for some minimal control, i.e. checking DNA / RNA / protein sequences. For instance, cheap mRNA
790.
by nextos 3y ago
Yes, I agree. The trick is probably to find cell-specific SNPs located in regulatory regions so that there are no off-target effects. Massive screens using single-cell perturbations will help to gain some insights.
791.
by nextos 3y ago
deCODE Genetics, whose history is very interesting and worth reading [1], was bought by Amgen based on this premise. Note, however, that SNPs like the one you pointed out are relatively infrequent. Amgen was expecting a two digit % improvem
792.
by nextos 3y ago
It's hard to say. Good moats, at least mid-term, are rarely algorithms. It's usually data and infrastructure. However, for some applications I am interested in, I think that robust representation learning solutions could give a si
793.
by nextos 3y ago
Adam Chlipala is behind this and his formal methods books are outstanding. In particular, FRAP is really great: http://adam.chlipala.net/frap
794.
by nextos 3y ago
And fan noise at idle / web browsing?
795.
by nextos 3y ago
How are the thermals and fan noise?
796.
by nextos 3y ago
Honestly, I think the best interviews are a discussion, where the company sells their vision, plus bring some code project and explain interesting parts you did to the hiring team. This can easily let the candidate show whether he knows and
797.
by nextos 3y ago
Perhaps Altos Labs (aging). Perhaps also Isomorphic Labs (protein design) will also become such a place. Both are still quite new. Microsoft Research is also pivoting into this area. mRNA designs are still a bit primitive. Moderna and BioNT
798.
by nextos 3y ago
It's more like the predecessor to Dafny, which is still research-oriented.
799.
by nextos 3y ago
> If there are others with more knowledge (acquired through research or lived experience) I'd love to hear it, as my knowledge of the history of computing has a Soviet-sized hole in it. The famous book Mathematics, its Content, Met
800.
by nextos 3y ago
The Interlaken area is simply stunning, even (or shall I say especially?) during Summertime.
801.
Maybe Haskell(books.thoughtbot.com)
10 points by nextos 3y ago|0 comments
802.
by nextos 3y ago
This is like building a tiny C compiler. At some program scale, optimizations become important.
803.
by nextos 3y ago
IMHO, these senior people leaving is a good thing for them and for society. Most have enough savings to be able to start up something interesting, fun, and that delivers a lot more societal value than their current Google role. Junior redun
804.
by nextos 3y ago
> The chicken and egg is real You can perhaps bootstrap your site with experienced developers from Who is Hiring monthly posts.
805.
by nextos 3y ago
Yes, this is more or less how the non-profit journal https://elifesciences.org (funded by HHMI, Wellcome, Max Planck, and Wallenberg Foundation) works. A problematic aspect of non-public peer reviews is waste and political battl
806.
by nextos 3y ago
The problem in Academia is that its too crowded. With crowding, in many fields, the de facto way to progress has become to play corridor and department politics. I know completely clueless and incompetent researchers that made an effortle
807.
by nextos 3y ago
I think you are super right. As someone with extensive Math and pure CS training, this has been my experience working in Biology vs Math departments.
808.
by nextos 3y ago
I'd also mention https://www.piumarta.com
809.
by nextos 3y ago
See https://srush.github.io/annotated-s4 . I also think state-space models will make a comeback.
810.
by nextos 3y ago
Not just antibodies, but it will stimulate a broad class of immune cells. And yes, the name vaccine is misleading. They should use immunotherapy.

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