Open source

The author open-sourced a cross-platform AI cleaning skill for Mac and Windows, generating interactive HTML reports from file scans; in a test, it freed nearly 120GB, compared with CleanMyMac identifying 15.8GB.

CASIA released MobileGym, a browser-based Android simulation environment covering 28 apps, with about 400MB per instance, 3-second cold start, JSON state snapshots, and programmatic task verification for mobile-agent training and evaluation.

MiniMax released the open-source M3 model with coding, a 1M-token context window, and native multimodal support; M3 scores 59.0% on SWE-Bench Pro, 83.5% on BrowseComp, and costs about one-twelfth per token versus GPT-5.5.

OpenBMB, Tsinghua NLP, and Modelbest released two UltraData open datasets: Ultra-FineWeb-L3 contains 600B+ tokens, including 400B+ English and 200B+ Chinese tokens, while UltraData-SFT-2605 contains 15M+ SFT samples with thinking and non-thinking labels.

NVIDIA open-sourced Cosmos 3 at GTC Taipei, releasing two variants, Super 32B and Nano 8B, with model weights, code, and datasets made available.

mudler_it ported NVIDIA Parakeet speech-to-text models to C++/ggml with no Python or PyTorch, reporting byte-for-byte NeMo parity on f32/f16, up to about 5x GPU speedups on larger TDT and hybrid models, and GGUF quantization across f16, q8_0, q6_k, q5_k, and q4_k.

Microsoft open-sourced SkillOpt, a text-space optimization framework that trains Agent skill documents without changing model weights; the paper reports best or tied-best results across 52 combinations covering 7 target models, 6 benchmarks, and 3 execution environments.

Renmin University of China and Zhizhi Institute open-sourced ClawGym, a Claw Agent framework with 13.5K synthetic executable tasks, 200 benchmark tasks, model checkpoints, training data, and training code; ClawGym-30B-A3B scores 56.82 on ClawGym-Bench and exceeds Qwen3-235B-A23B in the reported evaluation.

Xiaomi’s large model application team open-sourced ControlFoley, a controllable video Foley model supporting three tasks: text-guided video dubbing, text-controlled video dubbing, and reference-audio-controlled video dubbing, with code, model weights, and an online demo released.

Tsinghua THUNLP, ModelBest, OpenBMB, and AI9stars open-sourced PilotDeck; the article says its sub-agent routing reduced cost from $12.58 to $2.83 in a Xiaohongshu content-generation test, while preserving separate WorkSpaces, editable memory, and per-session routing logs.

X Square Robot open sourced Wall-OSS-0.5, a VLA model whose 400k pretraining checkpoint scored above 80 on 4 of 17 real-robot zero-shot tasks, with weights, code, training recipe, ablations, and a DMuon optimizer implementation released.

OwnerByDane released a 103.1B-token Usenet corpus covering 1980–2013, 408M posts, and 18,347 newsgroups, with free 5K-post-per-hierarchy samples and full-corpus licensing available.

Hao AI Lab open-sourced FastVideo Dreamverse, a real-time video generation tool that generates a 30-second 1080p video in 7 seconds under the stated setup of one NVIDIA B200 GPU and LTX-2.

Perplexity open-sourced a rebuilt Unigram tokenizer that reduces CPU usage by 5-6x, targeting tokenization latency when small rerankers and embedding models run on GPUs in single-digit milliseconds.

ModelBest, Tsinghua University, and OpenBMB open-sourced ForgeTrain, described as the first production-grade LLM training framework written entirely by AI with zero human code, and ModelBest used it to pretrain MiniCPM5-1B on Huawei Ascend chips.

OpenSenseNova released the full SenseNova-U1 training code on GitHub under Apache-2.0, supporting an 8B dense model, an A3B MoE architecture, and multimodal tasks such as text-to-image generation, image editing, interleaved generation, and text-visual understanding.

dlmserve released an MIT-licensed serving engine for diffusion language models, with LLaDA-8B-Instruct support and 2.5x HF throughput at batch=4. It exposes an OpenAI-compatible /v1/chat/completions API, batches at the denoising-step level, runs in 12GB VRAM, and adds about 1.8x throughput with optional LocalLeap acceleration.

ModelBest open-sourced MiniCPM5-1B, a 1B-parameter edge language model that beats all sub-2B models on AA-Index, uses a 0.5GB weight file after INT4 quantization, and runs on phones and browsers.

Shard reduces Llama-3.1-8B KV memory by about 10× at 8K context and 11× at 32K, with no measured drop on NIAH or LongBench, using PCA plus int4 quantization for K and Hadamard rotation plus vector quantization for V.

superSmitty9999 released ai-sandbox-manager as a PoC that uses LXC templates to give Codex sudo access, browser use, Docker, and shared GPU access, with a hook that blocks git push while the agent works inside isolated copies.