YohAsakura

On benchmarks, TabR demonstrates strong performance and successfully competes with XGBoost, LightGBM and CatBoost.

Other links: - twitter thread: https://twitter.com/YuraFiveTwo/status/1684516633803358208 - reddit post: https://www.reddit.com/r/MachineLearning/comments/15azddj/r_...

The live presentation is happening right now: https://www.youtube.com/watch?v=WRZ3o-NsU_4

Very interested in what data engineers think about this project!

I am not a developer, but the founders (including Yury Selivanov, Python Core Developer, see also https://github.com/MagicStack) and the fact that these people have been investing in the project for four years already, make me think that EdgeDB can be an important project for the database world!

Some comments here, in my opinion, are missing the point. Saying "SQL is good enough, no need for EdgeQL" is like saying "C/C++/Java/... is good enough, no need for Rust/Kotlin/...".

EdgeQL is an explicit attempt to make not a new version of SQL, but a new language. It's about evolution, which is, again, explicitly noted. Saying "evolution is not needed" or "I don't want/need evolution" is strange to me. At the same time, giving constructive feedback is useful, as always.

+1 When the right side stopped updating the buttons at the top (usage, about etc.) also stopped responding. Both issues are gone after refreshing the page.

What a cool thread, I mean it.

I don't know how to organize wiki-like things for teams, but here are my two cents for the topic of personal knowledge bases.

First of all, regardless of software, I prefer less structured and less constrained approaches so that it doesn’t take too much time and effort to add things to my knowledge base. I try to minimize the total number of entities (lists, files, notes) and to avoid folders at all. Usually I achieve this by using tags.

Secondly, I am still in a search of a perfect approach, but here is one thing where I succeeded to some extent, namely collections of homogeneous items. I use AirTable for that, but one can use Notion. For example, here is a list of software, I started it several months ago: https://airtable.com/shr8Wd96FurJmiTLs/tbl0n17xFuXrs0kMS?blo... I have a similar list for scientific papers that I read. And I started two more lists for other things. It is important that 1) the number of lists is low (I have 4 now) 2) the lists have simple structure 3) I can always download them as csv and do whatever I want.

As for the rest, I use markdown notes (I edit them with https://typora.io) stored in a dropbox-like cloud for ideas-like stuff. I use Google Keep for super-simple lists and I also have there a temporary note that serves as a buffer for sudden thoughts and ideas, from where I move them later to more appropriate place. I use https://todoist.com for my tasks, they are not organized very well (because no tags in the free plan), but the app is really nice and the number of tasks is not that great, so for now this works fine :)

Thank you very much for such detailed explanation of what is what in the world of graphics, now I understand the basics and what all the cool words (metal, gfx-hal, opengl, etc.) mean.

Is it correct to say that EdgeDB is an attempt to make Postgres better in terms of query language and abstractions? By "better" I mean the idea of being more flexible and convenient for users and generating efficient SQL for them?

Could you clarify why the benchmarks show lower performance than vanilla Postgres? Is it because of less efficient generated SQL? (I am not a database engineer and probably missing something obvious)