AI & Software

Alibaba DAMO RynnBrain 1.1 Hugging Face: https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain1.1-2B, https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain1.1-9B, https://huggingface.co/Alibaba-DAMO-Academy/RynnBrain1.1-122B-A10B GitHub: https://github.com/alibaba-damo-academy/RynnBrain Technical report: https://arxiv.org/abs/2602.14979 Developer: Alibaba DAMO Academy Released: July 2026 Variants: 2B, 9B, 122B-A10B Parameters: 9.41B (9B checkpoint) Architecture: Decoder-only vision-language transformer (dense 2B/9B, sparse-MoE 122B-A10B) on a Qwen3.5 base License: Apache License 2.0 Modalities: Image/video + language in / spatial/3D grounding, contact-point and affordance predictions, task planning out Formats: safetensors On disk: 18.82GB (9B checkpoint)

General Physics Transformer Hugging Face: https://huggingface.co/flwi/Physics-Foundation-Model GitHub: https://github.com/FloWsnr/General-Physics-Transformer Website: https://flowsnr.github.io/blog/physics-foundation-model/ Technical report: https://arxiv.org/abs/2509.13805 Developer: FloWsnr Released: September 2025 Variants: S, M, L, XL Architecture: Transformer-based neural differentiator with numerical integration License: MIT Modalities: Physical fields in, physical fields out; eight fluid, solid, shock, thermal, and multiphase systems Runs on: Desktop GPU, NVIDIA only Formats: PyTorch .pth On disk: S: 32.0MB / M: 446MB / L: 1.54GB / XL: 3.18GB

Raven from Moritz Rietschel, Philipp Hölzenbein, and Maximilian Rietschel An agent inside Rhino 8 that turns a text prompt or a reference image into native, editable Grasshopper definitions. Website: https://raven.build/ X: https://x.com/ravencad Instagram: https://www.instagram.com/ravencad/ YouTube: https://www.youtube.com/@RavenCAD Discord: https://discord.com/invite/nXbkvwXwBh Formats: 3DM, STEP, IGES, DWG, DXF, OBJ, STL, 3MF, SVG, PDF Kernel: openNURBS (Grasshopper definitions based) Moritz, Philipp, and Maximilian are the co-founders of Raven.

OpenMOSS MOSS-VL Hugging Face: https://huggingface.co/OpenMOSS-Team/MOSS-VL-Instruct-0708-FP8, https://huggingface.co/OpenMOSS-Team/MOSS-VL-Realtime-FP8 GitHub: https://github.com/OpenMOSS/MOSS-VL Website: https://openmoss.ai/MOSS-VL/ Technical report: https://arxiv.org/abs/2606.07639 Developer: OpenMOSS Team Released: August 2026 Variants: Instruct-0708, Realtime Parameters: 11B Context: 262,144 tokens Architecture: unified cross-attention multimodal model, 48 language layers with 12 cross-attention layers, XRoPE 3D spatiotemporal positions, absolute frame timestamps for streaming video License: Apache 2.0 Modalities: Text + Image + Video Runs on: Desktop GPU; Instruct: 24GB VRAM / Realtime: 26GB+ VRAM; NVIDIA only Formats: FP8 compressed-tensors with BF16 cross-attention and vision, HQQ INT8 KV cache On disk: 15.73GB FP8 safetensors

vcad Type: b-Rep based Website: https://vcad.io GitHub: https://github.com/ecto/vcad Created: 2026 License: Apache 2.0 Language: Rust Formats: STEP, STL, GLB, DXF Bindings: WASM

Bonsai 1 Bit Announcement: https://prismml.com/news/bonsai-8b Hugging Face: https://huggingface.co/prism-ml/Bonsai-8B-mlx-1bit Bonsai 1 Bit is a 1 bit language model that comes in 8B, 4B, and 1.7B parameter sizes. The 8B model is 1/16 the size of comparable 16 bit 8B open models with similar performance. At 1.15gb, this model can fit on many kinds of devices with 4-5x better energy efficiency