Skip to contentSkip to stories

Updated

#Hugging Face

#Hugging Face

Items with an AI score under 20 are hidden. Show low-relevance items

Oct 8

Oct 8Thu
  1. Prime IntellectOfficialAI score52

    Alzheimer's Translation Challenge launches with 150M cell atlas for AI hypothesis discovery

    AIPrima Mente and AlzData are launching the Alzheimer's Translation Challenge, a global AI competition to discover new therapeutic hypotheses for Alzheimer's disease. The challenge centers on a 150M cell atlas of neurons, astrocytes, and microglia across different genetic backgrounds under combinatorial perturbations, with multi-modal readouts. Top teams will have their hypotheses tested in Prima Mente's wet lab, and the data will be available through the AD workbench, Hugging Face, and Prima Mente's modeling platform.

    Video from @PrimeIntellect's post
  3. Leandro von WerraXAI score70

    Carbon-A open model and database predict 566 million gene candidates across 22,617 species

    AICarbon-A is an open model that predicts gene locations directly from DNA, and it has been used to annotate genomes from over 22,000 species. The release includes a database of 566 million gene candidates, about 16 times the gene annotations in the RefSeq dataset. Wet-lab RNA experiments supported 239 candidates missing from RefSeq across cats, Syrian hamsters, chickens, and Arabidopsis.

    Why it matters: The source ties an open gene-annotation model to specific wet-lab checks and gene counts, helping readers judge how far its predictions extend beyond well-studied genomes.

Oct 7

Oct 7Wed
  1. MarkTechPostNewsAI score58

    Unsloth Studio re-checks changed model repos and blocks flagged weights before loading

    AIUnsloth Studio binds remote-code approval to a fingerprint of the scanned code, so changed code requires fresh consent before it runs. It also blocks weight files that Hugging Face has flagged for malware in the path the selected loader would deserialize. The article describes these checks as one layer among several, alongside package-content scans and OS sandboxes, and notes that the scanner is not a sandbox and cannot catch every evasion.

  2. LlamaIndex 🦙OfficialAI score47

    LlamaIndex launches OpenDocRouter, one API for many document parsing models

    AILlamaIndex announced OpenDocRouter, a single API that routes document parsing requests to any of 10 frontier and open-source models at launch, including Claude Opus 5.5, Gemini 3.8 Flash, GPT-6 Luna, MinerU2.5-Pro, and PaddleOCR-VL-1.6. Users can switch models in one line with the same request and markdown output, and each model is scored on ParseBench for quality and cost. Pricing is per-token, failed pages are not charged, and the service costs $0.86 to $48.82 per 1,000 pages depending on the model.

    Video from @llama_index's post

Oct 6

Oct 6Tue
  1. Thomas WolfXAI score22

    Pollen Microduck gets a custom Seeed-built single-board computer

    AIPollen Robotics' Microduck now runs on its first fully custom single-board computer, built by Seeed around the same Rockchip CPU. The new board adds better memory, WiFi/BT, dual NFC antennas, status LEDs, an RGB flashlight, and improved cooling and boot speed, replacing the earlier Radxa-based prototype stack.

Oct 2

Oct 2Fri
  1. merveXAI score36

    llama.cpp adds support for decision models on modest hardware

    AIllama.cpp now supports decision models, which route tickets, moderate content, or choose an agent's next step by returning a probability for every option. Five open models from 144M to 27B parameters are supported at launch, and the team says more will follow in the coming days. Because most decision models do not need large GPUs, they are a good fit for llama.cpp, and a Hugging Face blog post explains how to set them up.

Sep 23

Sep 23Wed