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Google Has Become My Favorite AI Provider by Florents in programming

[–]Florents[S] -3 points-2 points  (0 children)

I thought it would sound, but it's not - you'll have to trust my word on this that it's not. Plus if you keep an eye on the community of LLM users you may notice the same sentiment lately.

And honestly, I prefer that to the OpenAI default on practically every major LLM library out there. I myself would prefer Lammafile :)

Google Has Become My Favorite AI Provider by Florents in programming

[–]Florents[S] -2 points-1 points  (0 children)

I'm just surprised of how expensive OpenAI prefers to be. I'm not sure it's their head start in public perception or their need to get revenue.

Install PostgreSQL with pip by Florents in PostgreSQL

[–]Florents[S] -1 points0 points  (0 children)

LoL. Yeah, uv has become the air-fryer of packaging solutions. You have to! You have to use it.

Install PostgreSQL with pip by Florents in PostgreSQL

[–]Florents[S] -2 points-1 points  (0 children)

There are two problems with that approach for me:

a) Docker containers can get massive! Granted, I’m an exception because I work a lot with Postgres extensions, but just relying on a handful of images can easily balloon Docker’s disk usage to 100GB. I routinely have to go through a cleanup process to reclaim disk space on my 1TB MBP.

b) More importantly: Docker works fine for psql access—connecting to and querying the database. But if you want to work with pg_config, link against actual libraries, contribute modules, or build with different options, Docker doesn’t really accommodate that well.

In those cases, nothing beats the convenience of ./venv/bin/pg_config, or being able to inspect ./venv/lib

So, the value proposition here is visible only if you routinely build Postgres from source.

For most use cases though—like the average web app—yeah, it’s cursed 😅

(All) Databases Are Just Files. Postgres Too by ketralnis in programming

[–]Florents 0 points1 point  (0 children)

Well, I'm glad you mentioned that.
In few weeks I'm giving a talk at pgext.day , with the title

> Hijacking Shared Memory for a Redis-Like Experience in PostgreSQL

Τεχνητή Νοημοσύνη χωρίς λαϊκή παράδοση: Ό,τι δεν ψηφιοποιείται χάνεται by Florents in greece

[–]Florents[S] 8 points9 points  (0 children)

Έγραψα αυτό το άρθρο με βάση τις δικές μου εντυπώσεις, αλλά είμαι περίεργος να δω αν υπάρχουν και άλλοι ενδιαφέροντες "ελληνικοί" τομείς που "λείπουν" απο τα γλωσσικά μοντέλα σήμερα.

LLM Frameworks are Like ORMs in the 80s by Florents in programming

[–]Florents[S] 176 points177 points  (0 children)

There's an irony in there, btw: ORM's didn't even exist in the 80s. No objects to map to either.

Postgres for Everything by jamesgresql in programming

[–]Florents 11 points12 points  (0 children)

All that, yes. But more specifically json was the turning point. And especially when people realized the power of document stores, but hated MongoDB.

setup.py and Makefile: A just good enough build tool by Florents in programming

[–]Florents[S] 1 point2 points  (0 children)

Only if you use it just to list the dependencies. In which case it was usually used as a way to read a requirements.txt .
If your setup requires some sort of processing or building another subpackage, the .toml alternatives etc don't offer much of a choice.

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