#MachineLearning is an active hashtag on Bluesky. In the last 30 days, 420 people shared 3,864 posts with it — around 129 a day. Activity is up 8% versus the previous week, peaking on Oct 17 with 198 posts.
Tags most often used together with #MachineLearning.
www.reddit.com
MuseAiProject
All about Muse Ai Assistant by Meta.
nousresearch.com
Introducing Arete-27B: Qwen3.8-27B Post-Trained To Reinforce Western Values
We post-trained Alibaba's Qwen3.8-27B to reinforce Western values on a Chinese-trained model, and measured what changed with an 803-prompt eval across seven value categories.
sciherald.com
OpenMausBot: An Open-Source Alternative to Grok Bot, Meta Muse, and OpenAI Dots
OpenMausBot is an open-source, local-first AI agent platform that lets you run your own team of AI bots with customizable models and local data storage.
sciherald.com
Arete-27B AI Model Aligned for Western Values on Hugging Face
NousResearch releases Arete-27B, a 27-billion-parameter AI model fine-tuned from Qwen3.8-27B to reduce Chinese state-aligned outputs and reinforce Western…
www.reddit.com
Reddit - The heart of the internet
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www.reddit.com
Reddit - The heart of the internet
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www.amazon.com
Automatic
sciherald.com
Trending Vision-Language Models This Week
The 10 most-trending Vision-Language models on Hugging Face this week — Kimi-K3.1-Pro, Qwen3.8-27B, DeepSeek-V4.1-Flash-1017 and more — with size, license,…
arxiv.org
EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models
Generative video models are increasingly used as visual world simulators, yet their primary strength lies in rendering plausible pixels rather than reasoning about how a world should evolve. Coherent world evolution requires more than visual fidelity: when an event occurs, a model must infer its con
arxiv.org
Confucius4-R2T2: A Stable-Prefix Streaming ASR Model for Real Real-Time Transcription
Streaming speech recognition is increasingly consumed by machines, such as translators and voice agents, that act on each token as it appears. A token that is later revised costs wasted work or a wrong action. In this work, we present Confucius4-R2T2 (short for Real Real-Time Transcription), a stabl
arxiv.org
Exploring Weight-Space Programming: Capabilities, Generalization, and Limitations
Weight-Space Programming (WSP) enables reasoning agents to directly inspect and modify neural network parameters, offering an alternative to gradient-based model adaptation. However, its capabilities, cross-task generalization, and practical limitations remain insufficiently understood. We systemati
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