#Open source/Repo

AIXiaomi has released MiMo-V2.6-Flash-MOPD on Hugging Face, an upgrade of the MiMo-V2.6-Flash-RL checkpoint that fuses several domain-specialized teachers into one model. The sparse MoE model has 309B total and 15B activated parameters, a 1M-token context length, and supports text, image, video, and audio inputs. The checkpoint targets tool-call repetition, a failure mode where the model repeatedly issues the same or similar tool calls without making progress.

AIXiaomi has released MiMo-V2.6-Pro-MOPD, an upgrade of the MiMo-V2.6-Pro-RL checkpoint that fuses several domain-specialized teachers into one model via MOPD2 and targets tool-call repetition. The sparse MoE model has 1.02T total and 42B activated parameters, a 1M-token context length, and accepts text, image, video, and audio inputs. Weights are available on Hugging Face and ModelScope, with deployment recipes for SGLang and vLLM.

AIXiaomi released an open-source RL environments repository, MiMo-V2.6-RL-oss, on Hugging Face. Hugging Face CEO Clément Delangue promoted the release, and a commenter estimated that comparable commercially sold tasks cost hundreds to thousands of dollars each.

AIAlexander Doria reports that the released set is a smaller selection of 989 environments for RL training a 9B distilled model, not the full MiMo. Rewards are not self-contained: the general part requires setting up a judge, and webdev relies on its own grader service and VLM. The most important content is in the general/envs directory and Docker setup rather than the Hugging Face dataset, offering a solid mix of real and simulated documents.

AIShanghai AI Lab's InternLM released Intern-Decision-4B, a multimodal structured decision model fine-tuned from Qwen3.5-4B, which returns answer distributions for multiple questions in one forward pass. On its benchmark table it scores an average of 90.02 with a Brier score of 0.347 and an ECE of 0.065, and per-query latency averages 44.16 ms on a single RTX 4090. The model is available with a Python DecisionEngine inference interface.

AIInternLM released Intern-Decision-0.8B, a multimodal structured decision model fine-tuned from Qwen3.5-0.8B that scores answers to multiple questions in one forward pass. The model reports a 79.38 average score and a 33.98 ms mean latency on a single RTX 4090, with 0.8B, 2B, and 4B sizes available. It is accessed through a Python DecisionEngine API that returns calibrated probabilities rather than generating free-form text.

AIMicrosoft announced Autopilot, an always-on agent built on OpenClaw. The OpenClaw account highlights that Microsoft contributors, including Omar Shahine, have contributed back to the OpenClaw project.

AIHiggsfield AI published an open-source breakdown of its "Passport Rush" project, including every prompt and asset used. The post links to the project page on higgsfield.ai for readers to explore the materials.

AIThe skills.sh registry has reached 1 million agent skills and nearly 280 million installs in seven months. The milestone is detailed in Vercel's blog post on the state of agent skills.

AIHugging Face released SmolDataEnvs, more than 5,000 open-source RL environments aimed at real-world data science tasks. They target the gap between simple educational games and frontier-level benchmarks, especially for improving coding in models under 10B parameters. The environments are designed as a testbed for developing new RL methods such as GRPO or OPSD.

AILangChain launched LangSmith Fine-Tuning, which lets users fine-tune open models on their LangSmith agent traces using the open-source smithtune CLI. Training runs on Baseten Loops in the user's own workspace, and smithtune deploy places the evaluated checkpoint on a Baseten Dedicated Inference deployment. Loops is in early access, so users may need to request access for their workspace.

AIGitHub Security Lab describes the Fuzzing Taskflow, an LLM agent pipeline that identifies entrypoints, writes harnesses, runs AFL++, reads coverage reports, and triages crashes for C/C++ repositories. The agent makes decisions while MCP tools handle execution, and state is stored in a SQLite database. The post also warns that the taskflow runs AFL and build commands directly on the host, so it should be used only in disposable environments without elevated privileges.

Why it matters: The post explains how an LLM agent automates fuzzing steps like harness writing, coverage gap chasing, and crash triage, with a runnable workflow and design tradeoffs.

AIThe RLKernel team integrated RL-Align/RL-Kernel with vllm-project/vime, and a 200-step Qwen3-8B GRPO run on 8× AMD MI300X recorded zero logprob mismatches between Megatron training and vLLM rollout. The strict path aligns reduction order, intermediate precision, rounding points, and math primitives across both sides to achieve bit-for-bit matching on ROCm.

AIinclusionAI has published public training-content summaries on Hugging Face for its Ling and Ring model versions, including Ling-2.0, Ling-2.5, Ling-2.6-1T, Ling-3.0, Ring-2.0, Ring-2.5-1T, and Ring-2.6-1T. The documents, organized under the template associated with Article 53(1)(d) of Regulation (EU) 2024/1689, contain documentation only, not model weights or training datasets. Each summary covers only the model versions it names.

AISupporting plugins can call an optional model for structured choices, kept separate from chat. TypeSafe Jev sends supplied information to its hosted API and incurs normal charges, while ONNX offers local CPU options. Decision Models are off by default.

AIOpenClaw lets users keep public GitHub issues, PR discussions, commits, and diffs open beside their chat. Several references can be followed in tabs. The feature is read-only and public-only, so private content and edits remain on GitHub.

AIMidjourney's alpha site now lets users preview their current prompt across styles with "Live previews" in the Styles sidebar and save prompt-bar settings as defaults via Settings → Advanced → Your defaults. The Create feed received a full-width masonry redesign with hover-based prompts and buttons, and Korean is now live for all users on midjourney.com.

AIAlex Wortega releases openjev, a family of Jev-style models at 0.8B, 2B, 4B, and 35B-A3B for reranking, grading, guardrails, and real-time game decisions. The models come with SGLang serving support, according to the post.

AIBlack Forest Labs has published a blog post and downloadable weights for its FLUX 3 Action model, with links to a Hugging Face collection. The post also invites readers to contact the company's robotics team.

AIGoogle's Gemini app now connects with 13 new apps, including Adobe, Squarespace, and Peloton. Josh Woodward asks users which favorite apps they want added next.

AIMicrosoft Research reports that running physical AI inference on onboard GPUs can limit robot performance and battery life, while offloading inference to edge or cloud GPUs improved results in mobile manipulation tests. In its evaluation, smaller onboard GPUs slowed mapping and planning by up to 383% compared with an A100, and large onboard GPUs such as Jetson Thor drained robot batteries by up to 160%.

Why it matters: The study measures how offloading robot inference to edge or cloud GPUs changes task success, battery life, and model size, offering evidence for infrastructure design.

AIMike Knoop says the top ARC Prize 2026 ARC-AGI-2 score of 83.06% by Tufa Labs is only 2% short of the 85% grand prize threshold. The challenge runs under strict Kaggle compute limits with no internet access, and the winning solution is set to be open sourced. The image shows the leaderboard with RabbitHole at 76.94%, nvbanana at 74.17%, Yi-Chia Chen at 55.14%, and Kha Vo at 37.50%.

AILewis Tunstall of Hugging Face shares his first cameo as a voice actor using the Reachy Mini robot, linked to a YouTube video about Australian football. The post itself provides no technical details, and the Reachy Mini context comes from a separate post by Andi Marafioti about NVIDIA's open-source Nemotron 3 Diarization model.

AIKarl's AI Watts (@aiwarts) has open-sourced Awesome Seedance on GitHub, a collection of AI video prompts. It includes 463 cases traced to original posts, 264 cross-model retest runs with public verdicts, 25 copy-ready templates, and 60 installable AI-video Skills.

AIThe author compiled 436 AI videos made with Seedance into a prompt collection and a Skill, now available on GitHub as awesome-seedance. The post asks GitHub users to star the repository to help it reach a thousand stars in a day, and notes the X post has about 400,000 reads.

AIAnt Ling released Ling-3.0-flash-fin, a finance-specialized open-weight model with 124B total parameters and 5.1B activated, offering high intelligence density for its size. It scores 54.9% on Finance Agent v2 at $0.045 per task, and the free API is available for a limited time, with an fp4 quantized version for local use.