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Bend

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  1. Bend 2 and the Vibe-Coding Trap

    The author argues that “vibe‑coding” with LLMs can cause engineers to reinvent existing solutions, using Bend 2—a language that asks LLMs to write long formal proofs—as a case study. By re‑implementing the same demo in SPARK/Ada, the author shows that established formal‑verification tools achieve the same guarantees with a tiny proof, highlighting the need for domain research before prompting LLM…

    Hacker News front pageliampwll.com5 minHN326235
  2. FLAT: Resampling Image and Text into 1D Flexible-Length Aligned Transmodal Tokens for Retrieval and Generation

    FLAT is a pre‑training framework that encodes images and text into a shared 1D token sequence with variable length via nested dropout, enabling the same embeddings for cross‑modal retrieval and generation. It attains state‑of‑the‑art scores on COCO and Flickr30K for captioning, retrieval, and text‑to‑image generation, and supports interpolation and zero‑shot composed retrieval.

    Hugging Face Daily Papersarxiv.org1 minpaper
  3. DeformSmith: Physics Harness-Guided Hierarchical Generation of Deformable Assets for Robot Manipulation

    DeformSmith is a framework that generates physically plausible deformable assets for robot manipulation from a text prompt or a single image, using a hierarchical construction process guided by a shared physics harness. It outperforms prior baselines in visual fidelity and physical realism while also producing interaction data for downstream tasks.

    Hugging Face Daily Papersarxiv.org1 minpaper