XH
XH — researcher or builder tracked in the Angestrom contributor network.
Repositories · 8
ultralytics/ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
KindaBrazy/LynxHub
Cross-platform, extensible terminal/browser for AI management
arxhr007/Aliens_eye
Hunt down 840+ social media accounts using AI
matrixhub-ai/matrixhub
An Open-source, self-hosted AI model hub with Hugging Face compatibility, accelerating vLLM/SGLang performance.
Key-wxh/market-fish
Dont guess. Simulate. Multi-agent market prediction engine.
vas3k/TaxHacker
Self-hosted AI accounting app. LLM analyzer for receipts, invoices, transactions with custom prompts and categories
10xHub/Agentflow
Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground
vixhal-baraiya/microgpt-c
The most atomic way to train and inference a GPT in pure, dependency-free C
News · 6
Tech Corner: MSFT Faces Biggest AI Test Yet Kamilla Cardoso (1a3uNeqkXh) - Mshale
<a href="https://news.google.com/rss/articles/CBMiW0FVX3lxTFBDUFFwdEZtcEdNTXFrUGZmR0VYQVhpZTJFbDVITURjN0FZNXFIZUFsZFpHMWtfS0VtTkVVbWFRNlFjX1JLbnEwWUpJN1BCel80dkY4bnBySlN2UTg?oc=5" target="_blank">Tech Corner: MSFT Faces Biggest AI Test Yet Kamilla Cardoso (1a3uNeqkXh)</a> <font color="#6f6f6f">Mshale</font>
US Army faces AI use limits after exhausting year's supply of AI tokens
Troops received an email informing them that they were rapidly depleting their AI tokens.
GPT-5.5 Exhibits Reasoning-Token Clustering at Fixed Boundaries - Let's Data Science
<a href="https://news.google.com/rss/articles/CBMipAFBVV95cUxQLXJUV1RqZU56bVJ2STgwc0VKZElqeVo3ZmVHbjBudTBEaFZWY3lETkJqaDJpS1RBSEJpdFVkMGhrdFY3cTdRWFppa0ZMeWpsTld1UmlBQlpFSEh2aVJKam5uQnBuaG03Y3FlNEFfYU8tanFOMlNBVEJVbXVsNk01VWxqWUdTMEVYRUVjYUVoX0lHNXp3dTY5a2JxY0RiZWZzMlFHZQ?oc=5" target="_blank">GPT-5.5 Exhibits Reasoning-Token Clustering at Fixed Boundaries</a> <font color="#6f6f6f">Let's Data Science</font>
Qwen3.8 27B reasoning effort low/medium/xhigh comparison
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vpuh7m/qwen38_27b_reasoning_effort_lowmediumxhigh/"> <img alt="Qwen3.8 27B reasoning effort low/medium/xhigh comparison" src="https://preview.redd.it/fkbx5qf41qjh1.png?width=140&height=113&auto=webp&s=2db0560101519671b50a2aa996e0545e4f9650f6" title="Qwen3.8 27B reasoning effort low/medium/xhigh comparison" /> </a> </td><td> <!-- SC_OFF --><div class="md"><p>I did a short test of the different reasoning efforts, s
Large language models exhibit stigmatizing behaviour in contextual judgements of health conditions - Nature
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAzWEs4cWItZm5YZXgwbDNrNHJYSkFiT19uczVlUkpoXzktUzhvVTFWTFBGcTAyTWc0NUlGNmd2WF9tQnNjbEdkVE9CVi1XemZjYy1UNTEyUmVCM0ZRVGhz?oc=5" target="_blank">Large language models exhibit stigmatizing behaviour in contextual judgements of health conditions</a> <font color="#6f6f6f">Nature</font>
[Paper] xHC: Expanded Hyper-Connections - Scale Residual Streams Wider · Push Model Intelligence Further
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1v1evsq/paper_xhc_expanded_hyperconnections_scale/"> <img alt="[Paper] xHC: Expanded Hyper-Connections - Scale Residual Streams Wider · Push Model Intelligence Further" src="https://preview.redd.it/trj39nmnaceh1.png?width=140&height=96&auto=webp&s=d28925ad98d5375591515c688d5e905ddfc53ead" title="[Paper] xHC: Expanded Hyper-Connections - Scale Residual Streams Wider · Push Model Intelligence Further" /> </a> </td><