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- 🧠What if your next YouTube upload was a playable game?
🧠What if your next YouTube upload was a playable game?
Today in AI: YouTube’s game tool, Luma’s video editor, and Mistral’s new model.
đź‘‹ Hello hello,
Happy Friday. I hope you’re easing into a festive mood as the holidays near 🥳🥂
Meanwhile, the AI world is moving at a high pace! YouTube’s testing tools that let creators turn ideas into playable games. Luma’s new model is rewriting how we edit videos, one frame at a time. And Mistral’s latest drop shows that open-source AI isn’t slowing down anytime soon.
If you’re trying to keep up with what’s actually worth your time — this one’s for you.
🔥🔥🔥 Three big updates
YouTube is testing a new feature that lets creators design and publish playable games directly from their dashboards — powered by Gemini 3. Early testers can generate playable experiences using text prompts or remix existing concepts from YouTube’s content library.
For creators, this means the line between video and interactivity is starting to blur. You’re no longer just uploading — you’re building.
Luma AI just unveiled Ray3 Modify, a new feature that lets users edit existing videos by providing character reference images and defining start and end frames. Essentially, you can pick a segment of your footage and modify it—change characters, tweak motion, or swap visual details—without regenerating the entire video.
It’s a big step toward editable AI video workflows, where creators can refine what they’ve already shot instead of starting from scratch.
Mistral AI announced its latest update to the open-weight model line, improving structured reasoning and sampling performance for developers. The release reinforces Mistral’s position as the go-to for teams who want transparency and fine-tuning control without relying on closed ecosystems.
This is big because Mistral’s model was able to outperform major enterprise document processing solutions as well as AI-native OCR across datasets:
If you’re building internal agents or research systems, this one’s worth exploring — Mistral’s models continue to punch well above their size.
🔥🔥 Two tools worth trying
Exa AI Labs
Exa is an AI-powered research assistant designed for developers and analysts who need reliable, explainable results. Instead of just returning links, Exa explains why each source is relevant — mapping reasoning steps behind every search. It’s especially useful for technical research, product benchmarking, or literature review workflows.
Exa’s latest release adds structured search reasoning, meaning it explains how and why it finds what it finds. If you do technical research or product benchmarking, this saves hours of manual filtering.
Exa outperformed other search engines in recent accuracy tests — showing how reasoning-driven retrieval is setting a new standard for search intelligence:
Composify
Composify lets non-developers build and edit production pages visually, using your existing React components. It bridges design and dev workflows without breaking your stack — great for teams who want flexibility without technical debt.
🔥 Things You Didn’t Know You Can Do With AI
Design wireframes in Figma — powered by Gemini 3
Developer Jason Guo turned his personal Figma AI plugin into something smarter by integrating Gemini 3 Pro and Gemini Flash. The plugin now generates wireframes, interprets prompts, and translates “vibes” into usable layouts.
Imagine describing what you want your design to feel like — and watching the layout appear in seconds. That’s what “vibe designing” looks like in practice.
It’s early, but this is a glimpse of how design tools might soon think alongside their users.
Do you like this new format? |
💌 Have a system or prompt you can’t live without?
Reply to this email and share your favorite AI workflow — we’ll feature some of the best in next week’s issue.
Until next time,
Kushank @DigitalSamaritan
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