Noob Guide to DaVinci Codecs and Workflows

I had to run a few tests with Simulon after it released publicly a few days ago. I’ve been seeing their demos for a long time and had to try. Pretty interesting AR to post processed video application. I don’t fully understand the intended use-cases/workflows but the production quality of the output is pretty insane! I imagine this could be very powerful for non-realtime content generation, and could pipe the output to downstream video creation and editing tools. What do you think?

Introducing Clipper — a lightweight in/out video clipping app built for fast-turn production workflows. When you’re reviewing a long recording, sometimes you just need a quick way to mark, cut, and export — without loading up a heavy editing program or waiting on a separate transcription tool. Clipper runs on FastAPI + FFmpeg, featuring: • Drag-and-drop MP4 upload • Instant in/out marking with hotkeys • Asynchronous export with live progress • Automatic transcript generation via faster-whisper • Safe server-side file cleanup and management This short demo shows the entire workflow — upload → mark → export → transcript. Originally designed to help our team move faster between live events and post-production review, but flexible enough for any newsroom, studio, or creative pipeline. #engineering #production #fastapi #ffmpeg #automation #postproduction #ai #workflow

OpenAI's latest video model: Sora 2 (and pro) is available to use on GenAIntel .com 🚀 - together with 60+ models already supported! I will let "Sora" make the official announcement, see the video 🔊 The latest models are always added to the platform on day 0 and are ready to use with your existing canvas. Sora2 video generation costs are the same as the official API! The attached 8-second un-edited video was created with a single prompt (text-to-video) and costs $0.80

Put together a short tutorial on how I created this WebGL image reveal effect using Unicorn.studio and Framer. Heavily inspired by that new Lando Norris site, so recommend you check that out. Hope this helps!

Made a short video for fixing #MLDeformer Sample Project on #UE 5.6! A more detailed video is here: https://lnkd.in/db9PhHx2 When you download the latest ML Deformer Sample Project with #UnrealEngine 5.6, you will see the character broken when the editor is played. This is the method that I discovered to fix it in the fastest way! Making this video took longer than fixing the problem actually, haha

NoteBookLM Upgrades There's always new stuff from NoteBook. Coming soon will be six new video formats as well as a long and short version to play with. (https://lnkd.in/ekkvgdef) Also I hear infographics and Deep research maybe on their way. "Google is actively developing an "Infographics" artifact feature for NotebookLM, designed to transform dense research notes or meeting minutes into shareable, visually engaging graphics. This new capability, currently in development and visible only in the codebase, will allow users to select the language and specify focus areas, such as extracting content from a single source document, to generate tailored visuals. The feature is expected to support both landscape and portrait formats, enhancing its utility for reports and presentations. As of October 2025, the infographics tool remains in the early stages of development, with no official release date announced by Google. While initial indications suggest a template-based system for speed and consistency, the possibility of deeper customization for layouts and design elements is still uncertain. The integration of Google's nano-banana model, previously used for creative editing in Flow, is speculated to power the generative visual content, potentially enabling rapid and high-quality infographic creation within NotebookLM's workflow."

We are excited to introduce "ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation" ChronoEdit reframes image editing as a video generation task to encourage temporal consistency. It leverages a temporal reasoning stage that denoises with "video reasoning tokens" to "reason" on physically plausible edits. See the attached video for results. Project Page: https://lnkd.in/g4zSKqpa arXiv: https://lnkd.in/geYHYWpZ Code and model are coming soon. Stay tuned!

Excited to share that TestBox just launched the alpha of our newest feature - Surface Editor. We heard from a lot of customers and prospects that while they love the deep, narrative-rich datasets we create, they still wanted to make quick tweaks on the fly. And the truth is, we weren’t really equipped to enable that, until now. The concept behind Surface Editor is simple - it’s a find and replace - but it allows you to make those powerful 1:1 level personalizations on the fly. You get the robust dataset that you trust, with the ability to make quick edits to make your demo relevant to the person/team in front of you. And this is just the start. We’re already working on ways to progress this: saving and sharing personalization profiles, swapping images, and even editing charts and graphs. Excited to answer this common concerns from our customers and am excited to see what our customers do with it! 

I’m fascinated by how learning tech is evolving, seeing companies like PETE use avatars instead of static PDFs or quizzes opens up so many possibilities. It makes me wonder how primary education will change if we start using avatars to engage all types of learners, especially kids with disabilities. My nephew has ADHD, so I see firsthand how learning isn’t one-size-fits-all. Sometimes a students problems are more physiological than psychological. To me, there are two ways to approach educational tech: - Utilize AI to Adapt the content to the learner, or - Provide instructions to the parent or mentor to empower the learner by bridging gaps and support understanding. My design philosophy leans toward empowerment. I believe AI should scaffold and support how students think, helping them digest content in their own way, instead of replacing their unique thinking style. Curious to see if this shift makes its way into classrooms, and how it could shape the next generation of learners.