How avatars can revolutionize learning for kids with ADHD

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?

🧠 Want to boost your study game? Try the GIST method: - Read or review your material, answering who, what, when, where, why, and how. - Then synthesize those answers into a ~25‑word summary — just the core. - Use that as your guide to dig deeper or review more efficiently. It’s simple, powerful, and helps you lock in comprehension. 🙌 #StudyHack #LearningStrategy #GISTMethod Read more below👇

Google's Veo 3.1 just introduced something video creators have been dreaming about. And it's changing how we think about content creation forever. Here's what caught my attention: The Video Extension Problem 🎬 Every creator knows this pain. You have a perfect 10-second clip. But you need 30 seconds for your reel. Traditional solution? Reshoot everything. Veo 3.1 solution? Extend it seamlessly to 141 seconds. I tested it myself. Mind blown 🤯 Three Game-Changing Features: 1️⃣ Smart Extensions Upload your existing video → AI extends it naturally Same lighting, same person, perfect continuity 2️⃣ Frame-to-Frame Generation Supply first + last frame → AI creates the journey Like having an intelligent animator on demand 3️⃣ Reference-Based Creation Feed it 3 reference images → Get consistent video output Your brand guidelines, perfectly maintained Real Use Case I Tried: Created a product demo where a ghost fades from a swing. First frame: Ghost sitting Last frame: Empty swing Result: Cinematic 20-second transition that looked professionally edited The implications are massive: - Small businesses can create professional add - Educators can produce engaging content at scale - Creators can focus on ideas, not technical execution - Marketing teams can test 10x more concepts I documented the entire setup process here: https://lnkd.in/dwsfTnXc #Innovation #VideoTechnology #ContentCreation #FutureOfWork #AI

Absolutely true. Content strategy requires intimate familiarity with the landscape you're documenting. This requires you to know how the different items fit together and interact. Diagrams are essential for this.

An 80-second tutorial on my favorite kind of experiment - three steps that never fail to teach me a lot. Quick addendum: I should have mentioned that the "thing" in step one doesn't have to be fancy or polished. It's best if it's not. I recommend a low-fi mockup, a quick-and-dirty prototype, a simple initial version that demonstrates the basic concept or an initial set of functions.

Learn to build a DeepSeek model from scratch with a comprehensive 16-hour free YouTube playlist. Dive into the papers, unravel the theory, and delve into the code implementation. Syllabus: - Explore the attention mechanism in-depth - Understand multi-head latent attention - Discover grouped query attention - Delve into positional encodings intricacies - Unpack the concept of mixture of experts (MoE) https://lnkd.in/gqeT8_xu

What if your badge could wink back at you? 👀 Weeks 3 and 4 of my Creative Coding course at University of the Arts London were about interactions and media — mouse and keyboard input, images, video, filters, sound, and even 3D. I actually had to skip Week 3 to host the Paris Mixer of Hatch Conference. But inspiration struck there. I came across the beatiful badge generator (link in comments) that Damian Martone built and thought: “What if this could become more alive and interactive?” Here's the week's result: A badge creator where your webcam video is embedded live. You can point at places on the badge with your mouse and drop stickers using numeric keys. Some dynamic effects — lightning flashes, a mouse trail — and suddenly the badge is alive. It was an exciting challenge to combine #interaction with #media, turning a simple utility into something playful, dynamic, and engaging. If you could make your own digital badge from scratch, what interactive twist would you want to give to it?

This is such a great comparison, Melissa Milloway and I completely agree with your observations. I have noticed that with GenAI tools like Sora and Flow, prompt design plays a massive role in the outcome. Even slight tweak in phrasing, specifying action timing, environment cues, or emotional tone can drastically influence how well characters interact and how objects behave. It reminds me that in learning design, a well-crafted prompt is almost like a storyboard in text form, the clearer the intent, the more aligned and realistic the generated content becomes. Still as you said, stability and consistency vary across tools, and that’s a reminder that good prompting doesn’t replace iteration, rather it complements.

Last night I tested two GenAI video tools side by side with the same prompt: Sora (older storyboard version) and the free version of Flow. I wanted to create a short teaser clip for our cat café simulation. On Sora, it took 3+ attempts to get a version where the café lead was even close to interacting with the tablet. A cup in the background ended up with two handles. The cat disappeared. Hands ended up multiplied in one version. There were a lot of small things to correct along the way. Then I tried Flow using the same concept and reference image. On the first try I got something relatively close to what I was looking for. It still needs refining, but the character, framing, and action were noticeably more stable. This is a good reminder that different tools and models behave differently, especially when we need realistic movement, consistent characters, and believable object interaction in training simulations. Curious if anyone else is experimenting with these. What have you noticed? #UIDesign #LearningDesign #Prototyping #Microlearning #eLearning #InstructionalDesign #LearningAndDevelopment #DesignIteration #DevLearn #DevLearn2025

What’s your video playback speed? You’re not imagining it—speeding up videos can help, but only to a point. An experimental study using Cognitive Load Theory tested speeds from normal to 2x and found that moderate acceleration can keep focus high without overloading the brain. Push it too fast and working memory gets swamped, and comprehension drops. As the authors put it: “Students show a much better learning effect at 1.25× and 1.5× speeds… the effect is the lowest at 2× speed.” For designers and instructors, the takeaway is simple: give learners control and nudge them toward 1.25x–1.5x, especially when content is familiar—then let them adjust from there.