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#Video

Sep 16

Sep 16Wed
  1. WanAI score34

    Wan 3.0 generates a full anime-style fantasy fight sequence

    AIQwen's Wan 3.0 video model produced a complete fantasy fight between a mage and a swordswoman, with strong timing, poses, and complex layouts that the post calls anime-ready. The quoted post notes Wan is stronger than Seedance 2.5 on timing and layouts, while Seedance is better at keeping characters on-model, and that all three support Vid2Vid and Omni Reference.

  2. WanAI score15

    Ad from Zero contest: create AI ads for fictional products with Wan3.0

    AI架空の商品に、どんな広告をつくる? AZ8 × Wan「Ad from Zero」が開催中です。自由に考えた商品を、Wan3.0で一本のAI広告に。賞金総額3,000米ドル、制作クレジットも用意されています。 応募は9月24日まで。あなたのアイデアを、広告にしてください ↓ Translation: What kind of ad would you make for a fictional product? The AZ8 × Wan "Ad from Zero" contest is now open. Turn a freely imagined product into a single AI ad with Wan3.0. A total prize pool of US$3,000 and production credits are also available. Entries close September 24. Make an ad from your idea ↓

  3. inclusionAI (Ant Ling) · new models on Hugging FaceAI score55

    inclusionAI releases Realtime-Venus full-duplex audio-visual models on Hugging Face

    AIinclusionAI has published Realtime-Venus on Hugging Face with two 9B checkpoints: Realtime-Venus-Omni for audio-visual interaction and Realtime-Venus-Audio for audio-only conversation. Both are built on MiniCPM-o 4.5 with a Qwen3-8B backbone and support full-duplex dialogue, proactive responses, and training-free long-video memory. The asynchronous Realtime-Venus-Harness runtime is hosted in a separate GitHub repository.

Sep 15

Sep 15Tue
  1. Jazzyear · InsightsAI score67

    HiDream's vivago R1 agent targets five-minute AI video delivery

    AIHiDream.ai launched vivago R1, a content creation agent, globally, with a domestic version upgrade. The company says R1 can output five-minute high-quality videos through agent planning, with a claimed 85% usable-output rate and support for multi-round extensions. It also released HiDream-O1-Video-1.0, a native omni-modal video model supporting single shots of 5 to 20 seconds at 1080p.

  2. Kling AIAI score15

    Kling AI joins TIFF: The Market 2026 with industry panel and showcase

    AIKling AI took part in TIFF: The Market 2026 on September 10 through an industry panel, networking reception, and on-site showcase. The company said the event explored how AI video is becoming part of professional filmmaking, from feature-length animation to real-world production workflows. Kling AI also said it continues to join leading film festivals such as Cannes and Toronto.

Sep 14

Sep 14Mon
  1. MiniMaxAI score36

    MiniMax H3 community projects speed up open-source video generation

    AIMiniMax highlighted open-source community progress on its H3 video generation model, which it built with native stereo audio and multimodal reference control. Recent highlights include FastH3's 4-step distillation running on DGX Spark and Apple Silicon, and NVIDIA's Sol-H3 generating 15 seconds of 768p video with audio in 6.6 seconds on 8×B300 in a warm-inference benchmark. Other releases include VDN's faster-inference attention work with code and weights, and 8-step Acc-LoRAs from Alibaba PAI, with LightX2V offering 4- and 8-step Turbo LoRAs.

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Sep 1

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  1. Google AI StudioAI score75

    Google adds agentic video understanding to Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite

    AIGoogle AI Studio says agentic video understanding is now available across Gemini 3.7 Flash, 3.6 Flash and 3.5 Flash-Lite via the Gemini API. The company reports cost reductions of up to 66%, token consumption reductions of up to 88% and accuracy gains of up to 7% on standard video benchmarks. Developers enable it by setting processing to "agentic" in the API configuration, at standard token pricing.

    Why it matters: The source gives concrete cost and token figures and explains how the agentic loop replaces fixed-rate frame ingestion, helping developers weigh it against their current video pipelines.

  2. Ai2 (Allen Institute for AI)AI score38

    Ai2 Panel Identifies Five Hard Challenges for AI-Assisted Science

    AIAt an August 27 Ai2 event on expanding its work with the Paul G. Allen Research Center at Providence Swedish Cancer Institute, panelists identified five persistent challenges for scientific AI. The main ones are keeping AI steerable as research evolves, deciding which tasks to delegate, and avoiding the amplification of weak study design or bad data.

  3. InternLM (Shanghai AI Lab) · new models on Hugging FaceAI score60

    Shanghai AI Lab releases Intern Lumina U2 unified multimodal model on Hugging Face

    AIShanghai AI Lab's InternLM has published Intern Lumina U2, a 16B-parameter MoE model with 1B active parameters that handles text QA, image generation and editing, and image, video, and 3D understanding. The model uses an 8-codebook fully-discrete visual representation built on AToken. Checkpoints are provided for Huawei Ascend NPUs and NVIDIA GPUs under Apache 2.0, with the technical report still listed as coming soon.

    Why it matters: The model unifies text, image, video, and 3D understanding with image generation in one framework, a broader scope than single-modality releases.

  4. Gemini API ChangelogAI score62

    Gemini API adds agentic video understanding for three Gemini models

    AIGoogle released agentic video understanding for Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash-Lite across the Interactions and GenerateContent APIs. The model dynamically navigates video timelines, requesting transcripts, frames, or audio tracks on demand. The source says this approach uses up to 88% fewer tokens for long-form content than static processing.

    Why it matters: The changelog names the affected models and API surfaces, and states a token-use figure that helps developers judge the cost of long video workloads.

Aug 28

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Aug 27

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  1. LMSYS OrgAI score47

    MiniMax-H3 gets up to 6.24x speedup on 8×H200 GPUs

    AIMiniMax-H3 on 8×H200 GPUs reaches 1.85–1.95x lossless speedup over Diffusers without approximation, with fixed prompts, seeds, resolution, FPS, and 50 denoising steps. Adding step reuse and sparse attention raises speedup to as much as 6.24x, but quality varies by workload, with SSIM from 0.76 to 0.91. Two presets trade off the two: a conservative Cache-DiT setting gives 2.99x at 0.90–0.98 SSIM, while a faster SubBlock 0.75 plus Cache-DiT stride gives 4.90–5.93x at 0.77–0.92.

Aug 26

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Aug 13

Aug 13Thu
  1. ByteDance · new models on Hugging FaceAI score52

    ByteDance releases Bernini-Diffusers-v2 video generation and editing model

    AIByteDance has released Bernini-Diffusers-v2 on Hugging Face, a video generation and editing pipeline combining a Qwen2.5-VL planner with Wan2.2 diffusion components. The model card recommends it over Bernini-R for complex requests needing stronger instruction following and multi-step semantic planning. Code and weights are available under Apache License 2.0.

Aug 4

Aug 4Tue