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AI & Software

4 Topics 58 Posts

CAD, generative AI, machine learning, and the software behind modern object design and engineering

This category can be followed from the open social web via the handle [email protected]

  • montezM

    Text to CAD

    generative cad
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    montezM
    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.
  • montezM

    Local Foundation Models

    llm
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    montezM
    TUM Tadpole Hugging Face: https://huggingface.co/thuerey-group/Tadpole GitHub: https://github.com/tum-pbs/Tadpole Website: https://ge.in.tum.de/2026/05/18/tadpole-flexible-scientific-foundation-models/ Technical report: https://arxiv.org/abs/2605.15284 Developer: Thuerey Group, Technical University of Munich Released: May 2026 Variants: S, B, L; only B weights released Parameters: S: 8.8M / B: 38.1M / L: 152.1M Resolution: pre-trained at 64, 128, 256 and 384 cubed, evaluated to 1024 cubed Architecture: 3D PDE autoencoder pre-trained on single-channel 64x64x64 crops, P3D hybrid backbone with convolutional stages and a transformer bottleneck, adversarial reconstruction loss; latent compression 16 (S) / 8 (B) / 4 (L); Tadpole-DFT adds LoRA, a latent dynamics sub-network, and zero-initialized skip connections for rollout License: Apache 2.0 Modalities: 3D PDE fields in, 3D PDE fields out Runs on: Autoencoding: Laptop / Dynamics: Desktop GPU, NVIDIA only Formats: safetensors, separate encoder and decoder On disk: B: 60.4MB encoder, 92.6MB decoder
  • montezM

    CAD Kernels

    cad
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    montezM
    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
  • montezM

    PrismML

    llm
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    montezM
    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