#Open source/Repo

AICohere and Cohere Labs released North Mini Code 1.0, an open-weights 30B-A3B mixture-of-experts model for code generation and agentic terminal tasks, under Apache 2.0. The model has 256K context and 64K max output, and is trained for tool use. Its benchmark table lists Terminal-Bench v2 at 36.0, SWE-Bench Verified at 67.6, and LiveCodeBench v6 at 70.3, below Qwen3.6 on several tasks.

Why it matters: The card lists benchmark results against Qwen3.6, Gemma4, and other models, showing where North Mini Code trails on some coding and agentic tasks.

AIBaidu CoBuddy is now available for free on Novita AI, a code-focused model aimed at developers and AI agents. It offers a 131K context window, up to 65K output tokens, and native tool calling. The model is served through Novita's serverless API for high-throughput, low-latency inference.

AIMiniMax has released MiniMax-M3, a native multimodal model with a 1M-token context window, roughly 428B total parameters, and about 23B activated parameters. The model introduces MiniMax Sparse Attention, which the source says delivers 9× prefill and 15× decode speedups over M2 at 1M context. M3 supports enabled, adaptive, and disabled reasoning modes through the thinking parameter, and weights are available on Hugging Face.

Why it matters: The source gives concrete attention-efficiency figures and three reasoning modes, which helps readers judge long-context cost against deployment choices.

AIByteDance has open-sourced the inference code and model weights of the Bernini Renderer (Bernini-R), a DiT-based renderer paired with an MLLM-based semantic planner for video generation and editing. A diffusers-format version, ByteDance/Bernini-R-Diffusers, bundles the Wan2.2 base components with the Bernini-R transformer weights for direct loading, and the framework requires a CUDA GPU with PyTorch 2.5.1+cu124.

AIXiaomi's MiMo-V2.5 is now available in OpenCode at no cost for a limited time. The OpenCode announcement lists a 1M context window and support for reasoning, text, and image inputs.

AIZack Williams built NabuOCR with PaddleOCR to help read cuneiform from tablet images, and it won the ERNIE AI Developer Challenge. PaddlePaddle congratulated him on the project, which applies text recognition to one of the world's oldest writing systems.

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.

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.

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.

AINVIDIA AI Developer announces the winners of a Nemotron hackathon held in South Korea, with a livestream linked for the winners announcement.

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 announces ClawKeeper v1.0, an open-source security framework for OpenClaw AI agents, combining Skill-based command policies, Plugin-based runtime monitoring, and a Watcher system-level observer. The independent Watcher is designed to block high-risk operations such as prompt injections, key leaks, rogue commands, and remote code execution, even if the agent is compromised. The paper is available on arXiv and the project code is hosted on GitHub.

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.

AIReflection AI announced that Joe Spisak, previously the lead behind Meta's Llama, is joining as VP of Product and Head of Open Source. The post welcomes him to the team without giving further details about his responsibilities or plans.

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.

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.