- A flurry of new pre-prints on protein design: language-model-based generators now generalize beyond natural proteins, diffusion models create full protein–ligand complexes, and a high-level “programming language” for protein design has been proposed, with antibody-specific language models also updated.  
- OpenAI released Point-E, a system that converts complex text prompts directly into 3-D point clouds, offering a lightweight alternative to NeRF-based 3-D generation.  
- Adobe Research published “Custom Diffusion,” a method for multi-concept fine-tuning of text-to-image diffusion models that trains small concept-specific sub-networks more quickly than previous embedding techniques.  
- Meta AI announced OPT-IML, a 175 B-parameter language model fine-tuned on 2 000 language tasks, to be released under a non-commercial research license.  
- The OpenRoad project and the OpenTapeOut conference pushed an ambitious agenda for fully automated, 24-hour, no-human-in-the-loop open-source IC design flows, aiming to drop mask-generation costs below commercial EDA tool pricing.  
- gget alphafold was highlighted as a three-line Python/CLI tool that runs AlphaFold 2.0 locally with ~4 GB disk usage, though it still queries remote structure databases over the internet.  
- A debate on low-cost solar-thermal collectors compared Brazilian rooftop coroplast-and-styrofoam thermosiphon panels (~US$10/m²) with higher-temperature copper-and-glass designs (~US$100/m²), weighing efficiency, legionella risk, and installation economics.  
- Additional papers circulated included analyses of data-scaling limits in ML, replication vs. forgery in diffusion models, transformer-based diffusion scaling, and a 500-page review of quantum chromodynamics.