#Open source/Repo

AIStability AI has launched Stable Audio 3.0 for experimentation. The Small and Medium models are available on Hugging Face, while the Large model is accessible through the Stability AI API or self-hosting with an enterprise license.

AIStability AI released Stable Audio 3.0, a family of four audio models trained on fully licensed data. Three of them, Small SFX, Small and Medium, have open weights on Hugging Face, while Large is available through the Stability AI API and enterprise self-hosting. Outputs can be distributed and commercialized under the Stability AI Community License, and organizations with more than $1M in annual revenue can use the Enterprise License.

Why it matters: The source specifies which models are open-weight, their licensing terms, and clip-length limits, which matters for anyone deciding whether to build on them.

AIPaddleOCR 3.5 now supports Hugging Face Transformers as an inference backend, letting users run PP-OCRv5 and PaddleOCR-VL 1.5 models directly within the Transformers ecosystem. Users can select it with engine="transformers" while keeping the same PaddleOCR pipeline, which the post says eases integration for RAG and Document AI applications.

AIAwni Hannun highlights a workflow to write PyTorch models, export them, and run them with MLX on Apple silicon. The linked PyTorch post says ExecuTorch now includes an MLX delegate that runs PyTorch models on Apple silicon GPUs, supporting LLMs, speech-to-text, and MoE models.

AIGoogle is rolling out Gemini 3.5 Flash globally for consumers in the Gemini app and Search AI Mode. It is also available to developers through the Gemini API, Google Antigravity, and Google AI Studio, and to businesses on the Gemini Enterprise Agent Platform.

Why it matters: The post shows where each Gemini 3.5 Flash access path goes, from consumer apps to developer and enterprise platforms, which helps readers pick the right entry point.

AIChatGPT is previewing a personal finance experience for Pro users in the U.S., who can securely connect financial accounts and see where their money is going. Users can ask questions based on the information they choose to connect, and the author says this follows the similar health records connection feature.

AIRAGFlow, an open-source RAG engine, has reached 80K GitHub stars, according to PaddlePaddle's congratulatory post. PaddlePaddle said it is a PaddleOCR OCEAN Alliance member collaborating with the RAGFlow team through deep PaddleOCR integration and document AI work.

AIAnthropic is donating Petri, its open-source interactive behavioral-evals tool for alignment testing, to Meridian Labs so development can continue independently. Working with Meridian, Anthropic has also released a major update improving the adaptability, realism, and depth of Petri's tests. Developers are invited to try the tool and contribute.

AIAmazon Quick's new desktop app connects to email, calendar, Slack, local files, and other apps to flag priority messages, summarize information, send communications, and create agents that handle tasks. The post says it becomes more personalized with use, and the author describes using it to treat their inbox more like an archive.

AIResearchers including David Duvenaud and Alec Radford announced Talkie, an open-weight 13B-parameter LLM trained and finetuned on a newly curated dataset containing only pre-1930 text. Soumith Chintala shared it as a fun test of time for the model.

AIMistral AI has released mistralai/Mistral-Medium-3.5-128B-EAGLE, an EAGLE draft model for speculative decoding with the 128B dense Mistral Medium 3.5. The companion model, which the source says replaces Mistral Medium 3.1 and Magistral in Le Chat and Devstral 2 in Vibe, has a 256k context window, handles text and image input with text output, and is served with vLLM or SGLang using three speculative tokens. The model is released under a Modified MIT License that allows commercial use with exceptions for companies with large revenue.

AIXiaomi released and open-sourced MiMo-V2.5-Pro, a 1.02T-parameter Mixture-of-Experts model with 42B active parameters and a 1M-token context window. The company reports gains in agentic tasks, software engineering, and long-horizon work, including a Rust SysY compiler task finished in 4.3 hours across 672 tool calls. Weights and tokenizer are on Hugging Face, and API pricing is unchanged.

Why it matters: The release pairs a 1.02T-parameter open-weight model with long-horizon agent results and token-efficiency claims, useful for judging its fit in coding and agent workflows.

AINemotron Hackathon Winners - S Korea

AIApple has released CADD-Base-7B on Hugging Face, a 7B masked diffusion language model for code generation that uses Continuously Augmented Discrete Diffusion (CADD) to guide discrete denoising with a continuous flow-matching signal. The model loads through Transformers with trust_remote_code, and its diffusion_generate method supports CADD sampling modes "weighted" and "argmax" with alg options such as "entropy" and "maskgit_plus". The release builds on DiffuCoder and reuses Dream's modeling architecture and generation utilities.

AIOpenAI is releasing a subset of datasets, reference code, and the g-mean 2 metric for evaluating chain-of-thought monitorability. The release includes most datasets from its monitorability suite, while some evaluations relying on private or restricted data were omitted. The company says it will keep reporting monitorability results in future frontier reasoning model system cards.

AINVIDIA AI Developer announced a live broadcast on contributing to open source, featuring NVIDIA NemoClaw and Nemotron Labs. The post links only to the broadcast and gives no further details on the content or speakers.

AINVIDIA's OpenShell v0.0.34 release lets users update sandbox policy without restarting the runtime. The update also adds install-vm, which installs the gateway and VM driver with new --driver-dir support, and sandbox get, which shows the active runtime policy. Supervisor seccomp improvements and HTTP normalization are included as well.

AINVIDIA released OpenShell v0.0.33, which adds seccomp and process-limit hardening, inference routing, and a standalone libkrun compute driver. The libkrun driver provides a lightweight VM backend as a second compute path for agents. The release also includes bug fixes, a docs refresh, and improved test stability.

AIA developer trained a 12M-parameter LLM on a custom ML framework built with a Rust backend and CUDA kernels, including Flash Attention, fused LayerNorm, and fused GELU. The framework claims 3x throughput gains, WebGPU fallback for non-NVIDIA devices, and a TypeScript API installable via npm.

AINVIDIA released OpenShell v0.0.32, which ships standalone openshell-gateway binaries so the gateway can be deployed without building from source. The release also adds system CA certificates for upstream TLS and reorganizes RFC documentation by RFC.

AIOpenAI released Privacy Filter, a bidirectional token-classification model that detects and masks personally identifiable information in text under the Apache 2.0 license. The model has 1.5B total parameters with 50M active, supports a 128,000-token context window, and can run in a web browser or on a laptop. Users can fine-tune it and adjust precision/recall tradeoffs through preset operating points.

AIBAAI has released ClawKeeper v1.0, an open-source security framework for AI agents built around OpenClaw. It combines Skill-based command-level policies, Plugin-based runtime monitoring, and an independent Watcher that intervenes against high-risk operations such as prompt injections, key leaks, rogue commands, and remote code execution, even if the agent is compromised.

AIA blog post and release show how to run YOLO26 locally using MLX. The linked background post describes YOLO26-MLX as a native Apple Silicon port without PyTorch or an external GPU, with up to 2.6x faster inference and up to 1.7x faster training.

AITri Dao says a fast Muon optimizer is coming to consumer cards, since its symmetric matmul kernels work once Blackwell consumer GPU mainloop support is in place. Background from @jcz42 reports Gram Newton-Schulz symmetric kernels now support RTX 5090, with 2x faster Newton-Schulz and 1.7x faster optimizer time on 15 layers of Gemma-4 E2B.

AIBlack Forest Labs released FLUX.2 Small Decoder, a distilled VAE decoder that works as a drop-in replacement for the standard FLUX.2 decoder on Hugging Face. It decodes about 1.4x faster and uses about 1.4x less VRAM at decode time, with ~28M decoder parameters versus ~50M in the full decoder and minimal quality loss. It is available under the Apache 2.0 license and is compatible with FLUX.2-klein-4B, FLUX.2-klein-9B, FLUX.2-klein-9b-kv, and FLUX.2-dev.

AIJim Fan announced the open-source release of CaP-X, an agentic robotics framework in which LLM-driven agents control robot arms and humanoids through perception and actuation APIs. The release includes CaP-Gym with 187 manipulation tasks across RoboSuite, LIBERO-PRO, and BEHAVIOR, and CaP-Bench, which evaluates 12 frontier LLMs and VLMs across 8 tiers. The post also reports that a 7B open-source model rose from 20% to 72% success after 50 RL training iterations, with synthesized programs transferring to real robots.

AIMistral has released Voxtral TTS, a text-to-speech model, alongside a blog post, a playground, a technical report, and model weights on Hugging Face. The post itself contains only links and no further details about the model's capabilities.

AIDataChef, an AI4AI framework, uses reinforcement learning to automatically generate optimal data recipes for adapting LLMs. Its DataChef-32B model, using an efficient proxy reward system, matches Gemini-3-Pro in recipe generation, with its recipes surpassing expert-curated ones on AIME'25 and ClimaQA benchmarks.

AIPrismAudio is a framework that integrates reinforcement learning into video-to-audio generation, using a Chain-of-Thought planning mechanism. It builds on ThinkSound by splitting single-step reasoning into four CoT modules for semantic, temporal, aesthetic, and spatial dimensions, each with targeted reward functions. Code, model weights, and datasets are released for research and educational use under the MIT License, and commercial use requires explicit author authorization.

AIAman Sanger of Cursor says Composer 2 is a really good model and he is excited for more people to try it. The quoted reply from Lee Robinson says Composer 2 started from an open-source base, with only about one-quarter of the final model's compute coming from that base. Cursor plans full pretraining in the future and says it is following the license through its inference partner terms.

AIApple has released apple/SimpleSD-30B-instruct, a research checkpoint built on Qwen that uses Simple Self-Distillation to improve code generation without rewards, verifiers, or teacher models. On LiveCodeBench, the model scores 55.3% pass@1 on LCBv6 versus 42.4% for its base, Qwen3-30B-A3B-Instruct-2507. The checkpoints are for reproducibility, not optimized Qwen releases, and are available under the Apple Machine Learning Research Model License.

AIApple has published SimpleSD-4B-thinking on Hugging Face, a research checkpoint built on Qwen that improves code generation through Simple Self-Distillation without rewards, verifiers, teacher models, or reinforcement learning. On LiveCodeBench, it lifts Qwen3-4B-Thinking-2507 from 54.5% to 57.8% pass@1 on LCBv6 and from 59.6% to 63.1% pass@1 on LCBv5. The model is released as a reproducibility checkpoint under the Apple Machine Learning Research Model License, not as an optimized Qwen release.

AIBAAI has released RoboBrain-Dex, a dexterous manipulation model for embodied intelligence trained on large-scale, diverse human egocentric data rather than massive robot teleoperation datasets. The company says this approach yields strong generalization, marking a shift from small-data, weakly generalizing methods toward big-data robotic manipulation. The code has been open-sourced on GitHub.

AIBerkeley AI Research introduces SPEX, a signal-processing framework that identifies influential interactions in LLMs using far fewer ablations than exhaustive analysis. A hierarchy-based extension, ProxySPEX, matches SPEX performance with around 10x fewer ablations. The methods apply to feature, data, and model component attribution.

AIFun-CineForge, from FunAudioLLM, is an open-source toolkit with an end-to-end dataset pipeline and an MLLM-based model for zero-shot movie dubbing across diverse cinematic scenes. The team built CineDub-CN, described as the first large-scale Chinese television dubbing dataset, and reports that its model outperforms state-of-the-art methods on audio quality, lip-sync, timbre transition, and instruction following. Inference code and checkpoints were released on March 16, 2026, and the model runs on a consumer-grade GPU.

AIMistral AI released Leanstral 119B A6B on Hugging Face as an open-source code agent for Lean 4 proof engineering. The model uses 128 experts with 4 active per token, 6.5B activated parameters, a 256k token context window, and accepts text and image input under the Apache 2.0 license. The page also documents vLLM server deployment and Mistral Vibe integration.

Why it matters: The source specifies Leanstral's 119B MoE architecture, 256k context, Apache 2.0 license, and vLLM setup, showing how the Lean 4 proof agent could be deployed locally.

AIBlack Forest Labs has released FLUX.2 [klein] 9B-KV, a variant of FLUX.2 [klein] 9B that caches reference-image key-value pairs to speed up multi-reference editing by up to 2.5 times. The 9B flow model, which uses an 8B Qwen3 text embedder and is step-distilled to 4 inference steps, is available for non-commercial use under the FLUX Non-Commercial License and fits in about 29GB VRAM.

AIMistral Small 4 combines instruct, reasoning, and Devstral capabilities in one multimodal model with 119B total parameters, 6.5B active per token, and a 256k context window. The source reports a 40% reduction in latency-optimized end-to-end completion time and 3x more requests per second in throughput-optimized setups versus Mistral Small 3. It is released under Apache 2.0 and supports reasoning mode toggling per request.

Why it matters: The source lists architecture, context length, and mode-switching controls, letting readers compare this release's design with earlier Mistral Small models.

AINVIDIA researchers trained SONIC, a 42M-parameter transformer, to control a humanoid robot's whole body using motion tracking on over 100M mocap frames. After three days of training in simulation, the policy transferred zero-shot to the real G1 robot and reported a 100% success rate across 50 real-world motion sequences. One policy supports VR teleoperation, webcam human video, text prompts, music, and GR00T N1.5 VLA integration with 95% success on mobile tasks, and the code and checkpoints are open-sourced.

AIJim Fan announced DreamDojo, an open-source interactive world model that takes robot motor controls and generates future frames in pixels. It is pre-trained on 44K hours of human egocentric video using latent actions, then post-trained onto specific robot hardware, and a real-time version runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. The author reports a +17% real-world success gain on a fruit packing task, and weights, code, datasets, and the whitepaper are released.