by Angel Leon. March 17, 2015;
Last update on December 14, 2023
Updated on February 27, 2023
Updated August 29, 2019.
GPG gives a lot of shit on macos for some reason.
It's best to just add the same SSH authentication key you have on github as a "Signing Key"
$ git config [--global] gpg.format ssh
$ git config [--global] user.signingkey ~/.ssh/id_rsa.pub
$ git config [--global] commit.gpgsign true
# Makefile | |
.PHONY: build release clean fmt check test install doc help tasks | |
default: help | |
# Default target (ensures formatting before building) | |
build: fmt ## Build the project in release mode (runs fmt first) | |
cargo build --release |
As Artificial General Intelligence (AGI) surpasses human-level cognition and super-dexterous robots automate vast swaths of manual and knowledge-intensive work, billions of people risk losing their traditional jobs. This scenario is often painted in stark terms—one of displacement, unemployment, and fear. Yet, a deeper truth lies in the fact that a future of abundant automation can liberate society from rote or uninspiring labor, allowing individuals to pursue creativity, innovation, personal growth, and genuine passions.
To prevent social unrest and ensure equitable benefits, we propose a National Singularity Fund (NSF). The NSF collects and manages revenue from automation taxes, equity grants, and targeted investments in exponential technologies (AGI, quantum computing, fusion energy). By distributing High Universal Income (HUI) to
I've put together these notes as I read about DHT's in depth and then learned how the libtorrent implementation based on the Kademlia paper actually works.
400,000,000,000
(400 billion stars), that's a 4 followed by 11 zeros.
The number of atoms in the universe is estimated to be around 10^82
.
A DHT with keys of 160 bits, can have 2^160
possible numbers, which is around 10^48
Framework | Description | Key Features | Language Support | Integration Capabilities | Deployment Options | License |
---|---|---|---|---|---|---|
RaLLe | A framework for developing and optimizing retrieval-augmented large language models (R-LLMs) for knowledge-intensive tasks. | - Development and evaluation of R-LLMs - Optimization tools for knowledge-intensive applications |
Python | - Compatible with various LLMs - Supports integration with external knowledge bases |
Local and cloud deployment | MIT License |
BERGEN | A benchmarking library that standardizes experiments and provides tools for evaluating RAG pipelines. | - Standardized benchmarking - Comprehensive evaluation tools - Support for various RAG components |
Python | - Integrates with multiple retrieval and generation models | Local deployment | Apache 2.0 License |
RAGFlow | An open-source RAG engine based on deep document un |
<?xml version="1.0" encoding="UTF-8"?> | |
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> | |
<plist version="1.0"> | |
<dict> | |
<key>com.apple.security.cs.allow-jit</key> | |
<true/> | |
<key>com.apple.security.cs.allow-unsigned-executable-memory</key> | |
<true/> | |
<key>com.apple.security.cs.disable-executable-page-protection</key> | |
<true/> |
Let's say alice
is a github.com user, with 2 or more private repositories repoN
.
For this example we'll work with just two repositories named repo1
and repo2
https://github.com/alice/repo1
https://github.com/alice/repo2
You need to be to pull from these repositories without entering a passwords probably on a server, or on multiple servers.
# | |
# This script uses the github command line tool | |
# to delete the last 30 logs from your repository's workflow runs | |
# | |
# Requirements | |
# | |
# gh - github command line (brew install gh) | |
# you will need a GH_TOKEN, create it here: https://github.com/settings/tokens | |
# | |
# once you've created the personal access token with permission to manage your workflows |