The SGLang and Miles Team · www.lmsys.org
We are thrilled to announce Day-0 support for DeepSeek-V4 across both inference and RL training. SGLang and Miles form the first open-source stack to serve and train DeepSeek-V4 on launch day — with s...
GitHub
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. - multica-ai/andrej-karpathy-skills
Mark Rhee, Dhruva Karkada, Jamie Simon · learningmechanics.pub
The mathematical science of neural network training
GitHub
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop - Leonxlnx/taste-skill
vision-banana.github.io
A generalist model achieving state-of-the-art on segmentation, depth, and surface normal tasks.
GitHub
Edit videos with coding agents. Contribute to browser-use/video-use development by creating an account on GitHub.
book.rada.re
The Official Radare2 Book
GitHub
Native Ghidra Decompiler for r2. Contribute to radareorg/r2ghidra development by creating an account on GitHub.
GitHub
Browser Harness | Self-healing harness that enables LLMs to complete any task. - browser-use/browser-harness
[Submitted on 11 Jan 2026 (v1), last revised 15 Feb 2026 (this version, v2)] · arXiv.org
Modern computer vision architectures, from CNNs to Transformers, predominantly rely on the stacking of heuristic modules: spatial mixers (Attention/Conv) followed by channel mixers (FFNs). In this work, we challenge this paradigm by returning to mathematical first principles. We propose the Clifford Algebra Network (CAN), also referred to as CliffordNet, a vision backbone grounded purely in Geometric Algebra. Instead of engineering separate modules for mixing and memory, we derive a unified inte
Sam Rose · ngrok blog
A complete guide to what quantization is, how it works, and how it's used to compress large language models
Contributors to Wikimedia projects · Wikimedia Foundation, Inc.
From Wikipedia, the free encyclopedia
Google A2UI Team · developers.googleblog.com
A2UI v0.9 introduces a framework-agnostic standard designed to help AI agents generate real-time, tailored UI widgets using a company’s existing design system. This update simplifies the developer experience with a new Agent SDK for Python, a shared web-core library, and official support for renderers like React, Flutter, and Angular. By decoupling UI intent from specific platforms, the release enables seamless, low-latency streaming of generative interfaces across web and mobile applications. I
Thomas GauvinEric Falcão · The Cloudflare Blog
Agents are becoming multi-channel. That means making them available wherever your users already are — including the inbox. Today, Cloudflare Email Service enters public beta with the infrastructure layer to make that easy: send, receive, and process email natively from your agents.
Liran Ringel, Yaniv Romano · liranringel.github.io
Interactive project website for DDTree, a draft-tree method built on top of block diffusion speculative decoding.
Mingchen Zhuge · METAUTO.ai
A research essay on Neural Computer: how it differs from agents, world models, and conventional computers; what runtime and CNC would mean; what current prototypes already show; and how software and hardware might change.
Alex Becker (https://kalmanfilter.net/) · kalmanfilter.net
Easy and intuitive Kalman Filter tutorial
pmc.ncbi.nlm.nih.gov
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Nature
On the value of human-generated scientific writing in the age of large-language models.
J Barrett 1 , T Bilisko · PubMed
Ankle sprains are a common sports injury that can cause significant, chronic disability. Studies aimed at prevention through the use of footwear have focused on the biomechanical aspects of foot and ankle anatomy, proprioceptive input of the foot/ankle complex, external stresses applied to the joint …
Contributors to Wikimedia projects · Wikimedia Foundation, Inc.
From Wikipedia, the free encyclopedia
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View ORCID ProfileYoungjo Song · bioRxiv
The brain generates diverse cognitive states while maintaining a stable functional architecture, a duality that remains difficult to reconcile. Prevailing views assume that flexible cognition necessitates correspondingly flexible architecture, in which different tasks demand distinct reconfigurations of functional networks. Here we introduce the intrinsic network flow (INF) framework as a complementary view. This framework is built on temporally coordinated signal flows across brain networks tha
GitHub
One CLAUDE.md file. Keeps Claude responses terse. Reduces output verbosity on heavy workflows. Drop-in, no code changes. - drona23/claude-token-efficient