Tag: Level: Advanced

  • TeleOCR Parses Crumpled, Photographed Pages Without Dewarping

    TeleOCR Parses Crumpled, Photographed Pages Without Dewarping

    A research team at China Telecom’s AI subsidiary (TeleAI) has released TeleOCR, a 1.2-billion-parameter vision-language model that parses both clean digital documents and photographed ones — folded, curled, or crumpled — with no separate dewarping step. The weights first went up on Hugging Face on August 17, 2026 under the name NaviDC-OCR. The team renamed […]

  • NVIDIA OpenShell Puts AI Agents in Kernel-Enforced Sandboxes

    NVIDIA OpenShell Puts AI Agents in Kernel-Enforced Sandboxes

    On September 28, 2026, NVIDIA launched the Open Agent Safety Platform, a two-part stack for containing autonomous AI agents. It pairs OpenShell, an Apache 2.0 open-source runtime that runs agents inside kernel-level sandboxes governed by declarative policy, with Sentry, a reference design that moves monitoring onto a separate BlueField-4 DPU. The design premise, in the […]

  • Apple’s LensVLM-9B Reads Compressed Pages, Then Zooms In

    Apple’s LensVLM-9B Reads Compressed Pages, Then Zooms In

    Apple has published the weights for LensVLM-9B, a vision-language model that reads long documents as heavily compressed images and zooms back in only on the pages it needs. The checkpoint went up on Hugging Face on September 21, 2026, alongside inference and evaluation code on GitHub. The paper behind it — a collaboration between Apple […]

  • Cactus Needle 3: One Set of Weights, an 8-29 MB Model at Any Depth

    Cactus Needle 3: One Set of Weights, an 8-29 MB Model at Any Depth

    Cactus Compute shipped Needle 3 on September 17, 2026, a single set of weights that runs as anything from a 29-million-parameter, 8 MB model to a 121-million-parameter, 29 MB one, depending on how many layers you deploy. It is not a chat model. Needle 3 does three things — tool calling, structured extraction, and text embedding — […]

  • Xiaomi Streams MiMo-V2.6 Reinforcement Learning Runs Live

    Xiaomi Streams MiMo-V2.6 Reinforcement Learning Runs Live

    Xiaomi’s MiMo team is running the reinforcement learning (RL) stage of its next models in public. A dashboard at mimo.xiaomi.com/rl streams metrics from two runs, mimo-v2.6-pro and mimo-v2.6-flash, as they happen. Both runs started on September 15, 2026. The page shows reward curves, rollout counts, step timings, running compute cost and mid-training coding scores. The […]

  • Thesys Releases OUI-1, a Diffusion Model That Writes UI Screens

    Thesys Releases OUI-1, a Diffusion Model That Writes UI Screens

    Lead — On September 8, 2026, Thesys released OUI-1, a fine-tune of Google’s DiffusionGemma 26B-A4B that does one narrow thing: it writes user-interface screens in openui-lang, the declarative language behind the MIT-licensed OpenUI project. The model scores 71.7% on the Generative UI Benchmark against 13.0% for its base checkpoint — a 5.5x improvement — while […]

  • DeepSeek V4.1-Flash: 552B Params, 890 Bytes of KV Cache Per Token

    DeepSeek V4.1-Flash: 552B Params, 890 Bytes of KV Cache Per Token

    DeepSeek released V4.1-Flash on September 10, 2026, publishing the weights on Hugging Face under an MIT licence the same day the model went live in its apps. The headline is not the parameter count but the memory footprint: a 552-billion-parameter Mixture-of-Experts backbone that holds a one-million-token context in 890 bytes of KV cache per token […]

  • Qwen-Drive-1.0-4B: Alibaba Open-Weights a Driving Foundation Model

    Qwen-Drive-1.0-4B: Alibaba Open-Weights a Driving Foundation Model

    Alibaba’s Qwen team released Qwen-Drive-1.0-4B on September 7, 2026 — an open-weight vision-language foundation model for autonomous driving that puts 3D perception, driving question-answering, and motion planning inside a single 5-billion-parameter system. Developed with Huazhong University of Science and Technology and published under Apache 2.0 on Hugging Face, ModelScope, and GitHub, it is the Qwen […]

  • OpenBMB Releases MiniCPM5-2B, Topping Open Models Under 4B

    OpenBMB Releases MiniCPM5-2B, Topping Open Models Under 4B

    OpenBMB released MiniCPM5-2B on September 7, 2026 — a 2.5-billion-parameter dense language model, open-weight under Apache 2.0, that the team reports as the strongest open model under 4B parameters. Across 34 benchmarks spanning code, math, instruction following, long context, tool use and agentic tasks, MiniCPM5-2B averages 53.9, ahead of every 2B-class baseline in OpenBMB’s comparison […]

  • IFM Releases K2 Horizon: Six Open Models With Data, Code, and Logs

    IFM Releases K2 Horizon: Six Open Models With Data, Code, and Logs

    The Institute of Foundation Models (IFM), launched by Mohamed bin Zayed University of Artificial Intelligence, released K2 Horizon on September 3, 2026 — six Apache 2.0 models spanning 0.9B to 375B parameters, published alongside the training data, code, configurations, intermediate checkpoints, and training logs that produced them. The flagship 375B-A23B scores 47 on the Artificial […]