jwbee

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

rmtbb

#!/bin/bash

# Define the main export folder
export_folder=~/Desktop/iMessages_Export
mkdir -p "$export_folder"

# Part 1: Generate the CSV file
echo "Generating CSV file..."

sqlite3 ~/Library/Messages/chat.db <<EOF

markuman

🗺️ OSM - self host the entire planet 🌎 in ~30 minutes 🚀

TL;DR

mkdir osm
wget -O osm/planet.mbtiles https://hidrive.ionos.com/api/sharelink/download?id=SYEgScrRe
podman run -ti --rm -p 9000:9000 --name sms -v $(pwd)/osm/:/data/ registry.gitlab.com/markuman/sms:latest
firefox http://localhost:9000

adtac

🖥️ See Demo

3.5 fps, Paperwhite 3
@adtac_

step 1: jailbreak your Kindle

mobileread.com is your best resource here, follow the instructions from the LanguageBreak thread

I didn't really follow the LanguageBreak instructions because I didn't care about most of the features + I was curious to do it myself, but the LanguageBreak github repo was invaluable for debugging

tsensei

import "dotenv/config";
import { OpenAIEmbeddings } from "@langchain/openai";
import { TextLoader } from "langchain/document_loaders/fs/text";
import natural from "natural";
import * as math from "mathjs";
import { quantile } from "d3-array";

interface SentenceObject {
  sentence: string;
  index: number;

cipolleschi

Test Your Library against React Native 0.74.0-rcs.

We cut the branch for 0.74 and we released the first RCs. We would like to check that the libraries in the ecosystem are working well, especially with the New Architecture.

To simplify the work, we prepared a sort of template you can use to test your library against the most recent version of React Native. There are two ways to test this:

1. Using a newly created app;
2. Using the example app that might live in your library repo.

The first approach can be used to check whether the latest version you already released is compatible with the New Architecture.

yoavg

Grand-master Level Chess without Search: Modeling Choices and their Implications

Yoav Golderg, February 2024.

---

Researchers at Google DeepMind released a paper about a learned systems that is able to play blitz-chess at a grandmaster level, without using search. This is interesting and imagination-capturing, because up to now computer-chess systems that play at this level, either based on machine-learning or not, did use a search component.[^1]

Indeed, my first reaction when reading the paper was to tweet wow, crazy and interesting. I still find it crazy and interesting, but upon a closer read, it may not be as crazy and as interesting as I initially thought. Many reactions on twitter, reddit, etc, were super-impressed, going into implications about projected learning abilities of AI systems, the ability of neural networks to learn semantics from observations, etc, which are really over-the-top. The paper does not claim any of them, but they are still perceiv

virattt

cpursley

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

abhishekkrthakur

from diffusers import DiffusionPipeline, StableDiffusionXLImg2ImgPipeline
import torch

model = "stabilityai/stable-diffusion-xl-base-1.0"
pipe = DiffusionPipeline.from_pretrained(
    model,
    torch_dtype=torch.float16,
)
pipe.to("cuda")
pipe.load_lora_weights("model/", weight_name="pytorch_lora_weights.safetensors")