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10月5日周一
10月4日周日
  1. Hacker News:AI 热帖70

    亚利桑那州上诉法院裁定法庭播放被害人 AI 视频不当,路怒杀人案被告须重新量刑

    亚利桑那州上诉法院裁定,杀人案被告 Gabriel Paul Horcasitas 量刑时法庭播放的被害人 AI 生成视频使用不当,须重新量刑。被告 2021 年枪杀 Christopher Pelkey,被判 10 年监禁;被害人家人用其录音、视频和照片制作 AI 视频在法庭播放。法院称该视频呈现的是被害人姐姐想象中的被害人和他的想法,越过了界线。

10月3日周六
  1. Tripo46

    很高兴看到像 @justinryanio 这样的创作者在体验我们全新的动画功能!从文本到动作,只需几秒。你试过多阶段动作了吗?

    引用Justin Ryan@justinryanio

    Tripo3D just launched some great new animation features. Text to Motion turns a written prompt into a 1 to 10 second character animation. Multi stage Motion lets you combine up to five motion segments into a longer sequence. There’s also improved character rigging with hand bone support and skeleton presets for Unreal Engine, Unity, Mixamo, VRM, and ActorCore.

10月2日周五
  1. Rohan Paul67

    Ben Affleck 讲述他 2022 年创办的电影 AI 公司 InterPositive 的起源,Netflix 于 2026 年 3 月以 5.87 亿美元现金收购该公司。

    引用Rohan Paul@rohanpaul_ai

    Ben Affleck (Hollywood star & Artists Equity CEO) talks about how he fine-tunes open video models by unfreezing weights and trained only the last cinematic layer so a film crew can hit real production standards. for context, Ben Affleck founded InterPositive in 2022, a 16-person AI shop for film post and Netflix bought it in March 2026 for $587 mn in cash. He needed that model because public video models were trained on his peers' films, and he did not think that was a real business. So InterPositive raised money, shot its own dataset for 8 months on a controlled stage, and used it only as late-stage training. Each new film then trains a private model on its own dailies, so the production keeps the footage and the learning. That is the product Netflix paid $587 million for. ---- From "Bloomberg Live" YouTube channel, (link in comment)

  2. Rohan Paul68

    Rohan Paul 指出 Ben Affleck 在 2026 年 2 月曾表示 AI 不会像宣称的那样发展,只是一种类似 VFX 的工具,写不出有意义的东西,随后却建成 VFX 级 AI 工具并以 5.87 亿美元出售。引用内容补充称,Affleck 创立的 InterPositive 拍摄了 8 个月自有数据集用于后期训练,Netflix 于 2026 年 3 月以 5.87 亿美元现金收购该公司。

    引用Rohan Paul@rohanpaul_ai

    Ben Affleck (Hollywood star & Artists Equity CEO) talks about how he fine-tunes open video models by unfreezing weights and trained only the last cinematic layer so a film crew can hit real production standards. for context, Ben Affleck founded InterPositive in 2022, a 16-person AI shop for film post and Netflix bought it in March 2026 for $587 mn in cash. He needed that model because public video models were trained on his peers' films, and he did not think that was a real business. So InterPositive raised money, shot its own dataset for 8 months on a controlled stage, and used it only as late-stage training. Each new film then trains a private model on its own dailies, so the production keeps the footage and the learning. That is the product Netflix paid $587 million for. ---- From "Bloomberg Live" YouTube channel, (link in comment)

  3. Manus:Blog72

    Manus 分享视频生成与时间线编辑工作流

    Manus 分享使用既有视频能力的创作经验:先由 AI 搜索参考、制作镜头与代码视觉元素,再在 Manus Studio 的视频编辑器中逐轨调整画面、字幕、配乐和音效。教程还演示导入本地素材、自动转录与编排初剪,以及将长视频剪成短片;作者以 125 段旅行素材整理成约 11 分钟成片为例,说明如何把生成初稿继续打磨为可发布作品。

    推荐理由:作者结合真实项目,介绍从导入素材、转录和编排初剪,到逐轨调整字幕、画面与音频的工作流,读者可将这些方法用于自己的视频制作。

  4. Rohan Paul62

    Tavus 发布首个 Human Interaction Model(HIM)Griffin,称其为首个通过视频图灵测试的模型。48% 与其实时视频对话的人误以为对方是真人,此前系统通过率低于 3%,并位列 NVIDIA 全双工 AI 视频基准第一。作者 Rohan Paul 转引 Tavus 官方发布并补充演示视频中的表现。

    引用Tavus@tavus

    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).

10月1日周四
  1. Arena.ai52

    Hidream-O1-Video-1.0 以 1456 分进入 Image-to-Video Arena 排行榜第 7 名,可通过 @vivago_ai 使用。该模型与 gemini-omni-flash 仅差 8 分,与 dreamina-seedance-2.0 和 2.5 的分差在 20 分以内。

    引用vivago.ai (HiDream)@vivago_ai

    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. 🔥

  2. fal42

    恭喜 @HoloworldAI 发布!

    引用tong@tong0x

    RIP prompting. 2023–2026. Introducing Ava Studio: your AI content team. Drop in your website, and it researches, scripts, and produces on-brand videos you can edit or ship. RT + comment your website. We’ll build your first video campaign for free.

  3. MiniMax (official)55

    HeyGen 发布 HeyGen Video,面向需要高质量视频但想控制成本的企业,基于 MiniMax H3 并由 HeyGen 后训练。10 月前定价从 $0.01/s 起(5 折),详情见 https://developers.heygen.com/heygen-video-1.0-catalog。MiniMax 官方转发表示很高兴为该工作提供基础模型。

    引用HeyGen@HeyGen

    We're releasing HeyGen Video, built for businesses that need production-quality video without production-level costs. Pricing starts at $0.01/s through October (50% off) Built on @Minimax_AI H3, post-trained by HeyGen. Learn more: https://developers.heygen.com/heygen-video-1.0-catalog

  4. MiniMax (official)44

    基于 MiniMax H3,@Creatify_Labs 的 Boreal-H3 是一款专为广告优化的视频模型,在遵循创意简报更准确的同时,保持产品和角色的一致性。 期待看到 MiniMax H3 成为更多面向特定行业的前沿模型的基础!✨

    引用Creatify Labs@Creatify_Labs

    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.

  5. Rohan Paul55

    Vivix 发布 A1 Playground + Agent,可创建能说话、移动和与人互动的实时 AI 角色,支持上传图片定制形象、性格和声音,并开放了 platform.vivix.ai 的创建入口。

    引用Vivix.AI@VivixLabs_HQ

    Create your own character. Call the shots. Live. Introducing A1 Playground + Agent: build a live AI character that talks, moves, and plays with you. Create yours: https://platform.vivix.ai/vivix-a1-model/ Their look. Their personality. Their voice. Your choice. Describe who you have in mind, upload a picture, and let our Agent bring them to life. And they do a lot more than talk. 💃 Full-body performance. From air guitar to victory dances. 🚶 Move around the scene. Walk and talk. Pace while making a point. 🛍️ Interact with objects. Pick up products, show them off, and pitch them. 🎮 Play web games together. Deal cards, keep score, and play along. Solve a mystery with Sherlock Holmes, then interrupt him for a dance break. Take a walk with Socrates. Hand him a protein shake and debate the meaning of gains. Give Snape a bottle of shampoo. Ask for the most enthusiastic sales pitch of his life. Who will you bring to life?

9月30日周三