#视频

认识 Pika H3 Flex，今天首次亮相，成为 DesignArena 的 t2v 榜单上排名第一的开放权重模型。 它为专业迭代而打造，支持可导出的音频分轨、最高 4k 的分辨率，以及快于实时的生成速度。它能在短短 7 秒内生成一段带配乐的 15 秒片段。 所以，没错。这有点像是在炫技 💅

隆重推出 FLUX 3 Max，这是 fal Research 与 @bfl_ai 合作推出的最新后训练视频模型。 在独立第三方基准测试中，FLUX 3 Max 在图生视频质量上并列第一，可在约 12 秒内生成一段 10 秒、720/768p 的视频。 在接下来的三周内，FLUX 3 Max 享受 75% 折扣，使其成为同等质量水平下最实惠的前沿视频模型。

隆重推出 FLUX 3 Max，这是 fal Research 与 @bfl_ai 合作推出的最新后训练视频模型。 在独立第三方基准测试中，FLUX 3 Max 在图生视频质量上并列第一，可在约 12 秒内生成一段 10 秒、720/768p 的视频。 在接下来的三周内，FLUX 3 Max 享受 75% 折扣，使其成为同等质量水平下最实惠的前沿视频模型。

隆重推出 FLUX 3 Max，这是 fal Research 与 @bfl_ai 合作推出的最新后训练视频模型。 在独立第三方基准测试中，FLUX 3 Max 在图生视频质量上并列第一，可在约 12 秒内生成一段 10 秒、720/768p 的视频。 在接下来的三周内，FLUX 3 Max 享受 75% 折扣，使其成为同等质量水平下最实惠的前沿视频模型。

Introducing FastH3-Omni. The fastest and highest-quality open-source version of realtime H3 by @MiniMax_AI, post-trained by FastVideo @haoailab with @nuvalab. Exclusive preview on the Reactor API until 10.20.2026. • First and last frame conditioning • Audio input + strong dialogue • Up to 3 reference images • Frontier-level performance

We gave 8 SoTA video world models a physics exam. Top score: 57.76 / 100. One revealing result: free-fall video passed the consistency screen. Their average composite score was just 26.61/100. Physics is still undefeated. Today we introduce World Models' Last Exam in Physics — 40 controlled tasks, 9 physical categories, measured against real physical laws. Full breakdown ⬇️ Github: https://github.com/Einsia/phys-last-exam Project: https://lab.einsia.ai/phys-last-exam Paper: https://arxiv.org/pdf/2610.08791

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

New HiDream models just landed in vivago R1 Studio 🚀 Introducing: • HiDream-O1 Image 2.0 • HiDream-O1 Editing 1.5 • HiDream-O1 Video All three models are now available in vivago R1 Studio - bringing the latest HiDream image generation, editing, and video capabilities directly into your creative workflow. New models. New possibilities. Go make something the internet can’t ignore. 🔥

Introducing Boreal-H3 — a video model built for ads and our next step toward recursive self-improvement in video generation. A good-looking video isn’t enough. The product has to stay the same. The actor has to stay the same. The label has to be right. And the action in the brief actually has to happen. So we post-trained MiniMax H3 specifically for advertising. But this isn’t a one-off SFT or LoRA fine-tune. We built a closed-loop system that learns what to improve next. Human-calibrated evaluation diagnoses failures and guides the next intervention: targeted data collection, reinforcement learning, or inference optimization. When the feedback is unreliable, we revise the evaluator or reward—not just the generator. Every experiment feeds into shared memory, informing the next training decision. The model improves, and so does the process that produces its successor. The results: → 85.3% reference fidelity — highest among the frontier video generation models we evaluated → Brief success: 28% → 50% → Identity match: 83% → 94% → Visible defects per clip: down 70% → Generation time and estimated cost: down 20% Boreal-H3 doesn’t just make better-looking video. It makes more usable ads. Credit to the @MiniMax_AI team for the foundation we’re building on. This launch is a checkpoint, not the finish line. We’re building more than a better video model. We’re building a system that learns how to make the next one better.