AI Dynamics

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  • Automated AI Podcast Generation from 25000 Daily Posts

    By

    @scobleizer

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    You can't read 25,000 posts a day, synthesize them into a web site. Then make a podcast automatically. Mine can: alignednews.com/ai There is a Notebook LM button at the bottom. It will put a script into your memory. Go over to @NotebookLM and paste it in and click "create." (No additional prompt needed). A few minutes later this podcast, mind map, slide deck, and shortly a video, pops out: notebooklm.google.com/notebo… It is a podcast completely created by you here on X.

    → View original post on X — @scobleizer, 2026-04-07 04:08 UTC

  • Single Video Multiple Audiences AI Production Efficiency

    By

    @futurepedia_io

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    Yeah this is where it gets really exciting! One video -> multiple audiences, No reshoots, way less editing headache.

    → View original post on X — @futurepedia_io

  • AI Generated Content Creation with Voice Synthesis via HeyGen

    By

    @scobleizer

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    My AI did all that except the voice. But @HeyGen does the voice pretty quick.

    → View original post on X — @scobleizer

  • Using AI as coding agent to create educational animations easily

    By

    @scobleizer

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    Some use AI to learn. More should. Eric Xu (e/Mettā) (@xleaps) Always loved @3blue1brown's visualizations but never really conquered Manim (the animation library). With Claude as a coding agent, I can finally direct animations at a high level — no more fighting the library. So I built this: explaining to 12-year-old me why fractals have non-integer dimensions. D = log N / log r. Simple formula. Surprisingly deep rabbit hole. — 终于获得了课件自由：用 AI 可以随时讲解一些知识，比如这是给当年的我讲解为什么分形维度不是整数的一个视频。 — https://nitter.net/xleaps/status/2041177250532319368#m

    → View original post on X — @scobleizer, 2026-04-07 03:08 UTC

  • Google AI Studio Gemini 3.1 Pro Generated Creative TODO List Concept

    By

    @saboo_shubham_

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    One-shotted this in Google AI Studio with Gemini 3.1 pro preview. Such an amazing concept. TODO's be like this. nitter.net/bruce_CQT/status/20398… Bruce Cao (@bruce_CQT) hike your todos🗻 — https://nitter.net/bruce_CQT/status/2039824576583172255#m

    → View original post on X — @saboo_shubham_, 2026-04-07 03:04 UTC

  • Sync Labs launches SYNC-3 intelligent lipsync AI tool

    By

    @futurepedia_io

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    Sync Labs just dropped SYNC-3 – the most intelligent lipsync AI yet! Studio-grade visual dubbing with spatial reasoning for flawless sync on extreme angles, 4K/60FPS output, & pro formats like ProRes. Perfect for creators! Try it: http://
    sync.so #AILipsync

    → View original post on X — @futurepedia_io

  • pneuma-skills：AI与用户实时协作的智能创意工具
    pneuma-skills：AI与用户实时协作的智能创意工具

    By

    @elliotchen100

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    诸位都知道 @evermind 是 @shanda_group 系的吧，盛大下面好几个 AI Native 公司，这不来自 @TankaChat 的 bro 写了一个开源项目，觉得思路特别好，给大家科普一下。 先说一个你可能有过的体验： 你用 Claude Code 说"帮我做个网页"，AI 在终端里哗哗改代码，改完了你得自己开浏览器、找到文件、刷新页面才能看效果。觉得按钮颜色不对？切回终端，打字说"第二行那个蓝色按钮改成绿色"，AI 可能还不确定你说的是哪个按钮。改完再切回去刷新看。 整个过程就是：说 → 等 → 切 → 看 → 切回来 → 再说。来回跳，而且你用文字描述视觉问题本身就很不精确。 pneuma-skills 这个项目的做法是，把 AI 的工作区和你的预览区塞进同一个界面。AI 每改一行代码，你这边实时看到渲染结果。你觉得哪里不对，鼠标选中那个元素，AI 立刻知道你在说什么。 你可以理解成：你和 AI 在同一个 Google Docs 里协作，只不过 AI 负责写代码，你看到的是实时渲染出来的成品。 而且它不只能做一种东西。它内置了 8 个模式：网页设计、幻灯片、Markdown 文档、Excalidraw 手绘白板、draw.io 流程图、AI 插画，甚至还有一个"模式创建器"让你自己定义新的内容类型。 最让我觉得有意思的是两点： 一是它会记住你的审美偏好。你喜欢圆角、暗色系、大间距，用几次之后它就知道了，下次不用再说。这个偏好跨 session 持久化，换个项目也还在。 二是它有个叫 Evolution Agent 的东西，会分析你过去的操作，自动优化它自己的技能模板。意思是这个系统不是静态的，是会跟着你一起长的。 底层架构上，它抽象了三层契约，agent 后端是可插拔的，目前支持 Claude Code 和 OpenAI Codex。 我觉得这个项目指向了一个很重要的方向：AI 工具的下一个瓶颈不在模型能力，在交互界面。你和 AI 之间的沟通带宽越大，协作效率就越高。 这个项目盛大内部用了都觉得不错，推荐给诸位。 Ez Chan (@EzPandazki) 我本来觉得，做 PPT 应该早就每个人都有自己一套了。没想到这玩意儿好评度这么高～ 没什么好介绍的，反正 cc 天下无敌。如果有 cc 订阅（codex 也支持但是没测试过）的同学，评论自取吧。 — https://nitter.net/EzPandazki/status/2041184491490963550#m

    → View original post on X — @elliotchen100, 2026-04-06 23:41 UTC

  • VoxCPM 2: Open-Source Text-to-Voice Generation Revolution

    By

    @datachaz

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    🚨 The new era of Open-Source TTS is here. @OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis. We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it. How does it beat discrete token-based models like Qwen3-TTS? VoxCPM 2 uses a cutting-edge Diffusion-Autoregressive Continuous Representation framework. → Eliminates discrete token data loss → Preserves raw acoustic metadata → Outputs natively in 48,000Hz CD-quality audio The studio-grade expressiveness is phenomenal. I gave it a specific text prompt: "Deep booming male voice, strong resonant vocal, rhythmic hype pace." It dynamically calculates natural breathing, chest vibrations, and micro-pauses. It actually performs the text naturally. Best of all, the entire stack is fully open-source and highly developer-friendly. → Native PyTorch inference workflows → LoRA and full-parameter fine-tuning → Compatible with voxcpm-nanovllm Repo and demos links in 🧵↓

    → View original post on X — @datachaz, 2026-04-06 22:59 UTC

  • Generative AI will enable sophisticated creative rewrites in six years

    By

    @OlivierRimmel

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    Lisez bien. Dans moins de 6 ans, les IA génératives seront tellement puissantes que vous pourrez prompter 20 fois "procède à la réécriture du livre de Victor Hugo « Les Misérables » et fait en sorte que ça se finisse bien pour Fantine Gavroche Éponine, ajoute des détails

    → Voir le post original sur X — @olivierrimmel

  • Netflix VOID: Free AI Tool Removes Objects from Videos

    By

    @datachaz

    –

    if, like me, you have so many ppl to remove from your old photos, this is a banger 😉 Charly Wargnier (@DataChaz) Wow. @Netflix just dropped VOID. This AI removes objects from any video… And even corrects the physics of the scene after objects/people are removed 🤯 It's 100% free and open-source. Repo + demo links in 🧵↓ — https://nitter.net/DataChaz/status/2041045342687564031#m

    → View original post on X — @datachaz, 2026-04-06 21:52 UTC