Macbook Neo (I'm on macOS Tahoe 26.5.1) cursor is lagging when the cursor is near the screen's edges or when it enters a Terminal window. [1][2][3][4][5]
You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.
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
| #!/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 |
| build_nonprod_ios_local: | |
| executor: macos_executor | |
| steps: | |
| - checkout_and_attach | |
| - run: | |
| name: 'Run expo fingerprint' | |
| command: | | |
| npx @expo/fingerprint@latest . > fingerprint.json | |
| - restore_cache: | |
| keys: |
3.5 fps, Paperwhite 3
@adtac_
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
| 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; |
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:
- Using a newly created app;
- 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.
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