nheko
Otter
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| nheko | Otter | |
|---|---|---|
| 18 | 4 | |
| 1,757 | 3,435 | |
| 2.4% | - | |
| 9.7 | 9.1 | |
| 9 days ago | about 2 months ago | |
| C++ | Python | |
| GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nheko
- Shutting down the letsblock.it project and its official instance
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PSA: security vulnerability in qBitorrent 4.5.x webUI
Look at this, notice anything different? https://github.com/Nheko-Reborn/nheko/issues/new/choose
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This Year in Matrix
Nheko has been around for a number of years. Never used it myself though.
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Matrix was worth the effort to self host.
Matrix clients hit different than pretty much any other chat client I've use before. Theres multiple clients I've found like nheko, moments, element that are a pleasure to look at and smooth as hell. Even better you can have users use web services like Element Web to sign-up and chat. Its sick.
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What flatpaks are "official" (i.e., directly from the application's developer)?
The Nheko flatpak is official. Just compare the source to the nightlies we build and upload to our nightly repo.
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GTK4 Matrix Client
Like almost every client out there it has no support for e2ee. I was happy to find https://nheko-reborn.github.io (I'm a KDE user so Qt apps are preferred).
- Mozilla Thunderbird Beta now supports Matrix chat
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weed rule
There's also FluffyChat or Nheko if Element is too heavy.
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Using Files with Browsers, in Reality
I probably wouldn't have guessed that `e.dataTransfer.items` gets cleared at the first await (since I'm not a proficient web developer), but I would've been extremely wary of this code in general. Additionally (not tied to async-await but race conditions in general), is `item.getAsFileSystemHandle()` a TOCTTOU vulnerability where the type of an item can change between folders and files and symlinks etc., while this code is running?
Rust's & vs. &mut system largely eliminates shared state hazards in both threading and asynchronity (&mut is exclusive/unaliased and can't be mutated by other threads or event loop jobs, and & is difficult and unidiomatic to mutate), though it doesn't solve async cancellation errors (https://carllerche.com/2021/06/17/six-ways-to-make-async-rus..., discussed at https://news.ycombinator.com/item?id=27542504), or filesystem TOCTTOU (https://blog.rust-lang.org/2022/01/20/cve-2022-21658.html as well as user code).
Qt event loop reentrancy is fun(tm) as well. It looks like a blocking call, but spawns a nested event loop which can do anything (but rarely enough to lull you into a false sense of complacency), resulting in segfaults like https://github.com/Nheko-Reborn/nheko/issues/656 (workaround at https://github.com/Nheko-Reborn/nheko/commit/570d00b000bd558..., I didn't look into it). And Qt lacks "easy" await syntax and a framework based on calling red functions (though I didn't look into C++20 coroutines yet, perhaps https://www.qt.io/blog/asynchronous-apis-in-qt-6 or https://github.com/mhogomchungu/tasks or https://blog.blackquill.cc/asynchronous-qtquick-uis-and-thei...?).
- Introducing Native Matrix VoIP with Element Call!
Otter
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OpenAI vs Google, Detect ChatGPT Content with 99% accuracy, Navigating AI compute costs
👀 Video-LLaMA - Empower large language models with video and audio understanding capability. (link) 🦦 Otter - Multi-modal model with improved instruction-following and in-context learning ability. 🔗 Linkly.AI - AI-powered lead analytics and management platform that helps you track, analyze, and streamline your leads in one place. 🎬 Jet Cut Ready - AI plugin for Adobe Premiere Pro that automatically removes silent parts in videos. (link) 💬 HeyGen's ChatGPT Plugin - Convert text into high-quality videos using AI text and video generation.
- Multimodal models and "active" learning
- Otter: A Multi-Modal Model with In-Context Instruction Tuning
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Otter is a multi-modal model developed on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on a dataset of multi-modal instruction-response pairs. Otter demonstrates remarkable proficiency in multi-modal perception, reasoning, and in-context learning.
GitHub repo includes HuggingFace links to the model: https://github.com/Luodian/Otter
What are some alternatives?
gomuks - A terminal based Matrix client written in Go.
NExT-GPT - Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
axolotl - A Signal compatible cross plattform client written in Go, Rust and Vuejs
Video-LLaMA - [EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Signal-Android - Patches to Signal for Android removing dependencies on closed-source Google Mobile Services and Firebase libraries. In branches whose names include "-FOSS". Uses new "foss" or "gms" flavor dimension: build with "./gradlew assemblePlayFossProdRelease".
LLaMA-Adapter - [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
weechat-matrix - Weechat Matrix protocol script written in python
Sophia - Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.
telegram-bot-api - Telegram Bot API server
Awesome-Multimodal-Large-Language-Models - :sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
org.signal.Signal
LinkedInGPT - Skynet