Powered by cloudllm 0.4.0
Setting up council agents...
Council configured with 5 agents
Question:
Powered by cloudllm 0.4.0
Setting up council agents...
Council configured with 5 agents
Question:
Top 5
posix_storage::read/write
to avoid reopening on every block and collapse syscall churn on Linux/macOS builds.disk_buffer_pool
’s per-buffer malloc
+ global mutex with an actual freelist/slab allocator to cut allocator latency and cross-thread contention.piece_picker::pick_pieces
’ ignored-piece bookkeeping O(1) to remove quadratic scans in large swarms.peer_connection
’s request queue with a queue/deque structure so front removals stop mem-moving full vectors on every send.socket.available()
ioctl inside peer_connection::on_receive_data
and rely on buffered reads to avoid extra syscalls.[Title]: Cache file handles in posix_storage to eliminate per-block fopen/fclose Component(s): src/posix_storage.cpp, src/storage_utils.cpp, include/libtorrent/aux_/posix_storage.hpp
<?php | |
/** | |
* Returns HTML to embed a tweet like publish.x.com would | |
*/ | |
function embed_tweet_html(string $tweet_url) : ?string { | |
// Encode the tweet URL for the query parameter | |
$encoded_url = urlencode($tweet_url); | |
// Construct the oEmbed API URL | |
$api_url = "https://publish.twitter.com/oembed?url=" . $encoded_url; |
Maybe there's a symbol missing. | |
The class 'NSOpenPanel' overrides the method identifier. This method is implemented by class 'NSWindow' | |
Exception in thread "AWT-EventQueue-0" java.lang.UnsatisfiedLinkError: 'long com.frostwire.jlibtorrent.swig.libtorrent_jni.session_handle_find_torrent__SWIG_0(long, com.frostwire.jlibtorrent.swig.session_handle, long, com.frostwire.jlibtorrent.swig.sha1_hash)' | |
at com.frostwire.jlibtorrent.swig.libtorrent_jni.session_handle_find_torrent__SWIG_0(Native Method) | |
at com.frostwire.jlibtorrent.swig.session_handle.find_torrent(session_handle.java:95) | |
at com.frostwire.jlibtorrent.SessionManager.find(SessionManager.java:452) | |
at com.frostwire.bittorrent.BTEngine.download(BTEngine.java:303) | |
at com.frostwire.gui.bittorrent.BTDownloadMediator.lambda$openTorrentFile$2(BTDownloadMediator.java:654) | |
at java.desktop/java.awt.event.InvocationEvent.dispatch(InvocationEvent.java:318) |
# 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
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
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 |