Author: Awais
YouTube is experimenting with a format that keeps ads visible even after users skip — potentially reshaping how advertisers think about skippable inventory. What’s happening. YouTube is testing a sticky banner overlay that appears once a user skips an ad. Instead of the ad disappearing entirely, a branded card remains on-screen until the viewer actively dismisses it. How it works. After hitting “skip,” users return to their video as normal, but a persistent banner tied to the original ad stays visible within the player, extending the advertiser’s presence beyond the initial skip. Why we care. This test from YouTube creates…
Google is opening Personal Intelligence to free-tier users in the U.S. Previously limited to paid AI Pro and AI Ultra subscribers, the feature is now expanding to users with personal Google accounts. What’s New Announced in a blog post, the expansion covers AI Mode in Search, the Gemini app, and Gemini in Chrome. AI Mode access is available today, while the Gemini app and Chrome rollouts are starting now. Personal Intelligence connects a user’s Gmail and Google Photos to AI-powered search and chat responses. When enabled, AI Mode and Gemini can reference email confirmations, travel bookings, and photo memories to…
YouTube’s countless creators, constant uploads, fierce competition and shifting trends make it easy to get lost in the noise. But if you listen closely, the chaos fades—and what emerges is detailed, meaningful feedback from your community. That’s where the power of social media listening on YouTube begins. But YouTube social listening works a little differently. Instead of chasing brand mentions, you’re diving deep into the questions, reactions and pain points sitting right in your comments. Here’s how to use these qualitative insights to ignite action and understand what your audience cares about and what they want next. What is YouTube…
arXiv:2603.15159v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown strong potential for code generation, yet they remain limited in private-library-oriented code generation, where the goal is to generate code using APIs from private libraries. Existing approaches mainly rely on retrieving private-library API documentation and injecting relevant knowledge into the context at inference time. However, our study shows that this is insufficient: even given accurate required knowledge, LLMs still struggle to invoke private-library APIs effectively. To address this limitation, we propose PriCoder, an approach that teaches LLMs to invoke private-library APIs through automatically synthesized data. Specifically, PriCoder models private-library…
A few months ago, I created an Instagram Reel that looked great when I was making it. I uploaded, hit post, and tapped on it to fill the screen — only to find a sliver of the text got cut off at the edge.It’s a tiny detail that can make a big difference, especially when you’re putting care into your visual content. There’s something really satisfying about seeing your post appear exactly the way you pictured it. That comes from choosing the ideal Instagram image size so it lines up just right. No strange cropping, no weird blur — just…
For a long time, a nonprofit’s digital presence hasn’t been a “nice-to-have.” It’s the central hub for mission delivery, donor engagement, and advocacy. Many organizations struggle with the technical and strategic foundations needed to turn a website and a few social accounts into a high-performing digital ecosystem. The goal isn’t simply to “be online.” It’s to build reliable infrastructure, so your organization owns its narrative, protects its assets, and measures the impact of “free” digital efforts. Here’s a practical look at the critical elements of managing a nonprofit’s digital presence — and the common pitfalls to avoid — based on…
Boost your skills with Growth Memo’s weekly expert insights. Subscribe for free! Branded search inflates your return on ad spend (ROAS) by taking credit for demand you already own, and every input in the paid acquisition model is getting worse simultaneously. This week, you’ll cover: The math on how branded search distorts performance reporting across the industry. Why AI-driven discovery will expose this distortion faster than any audit. A concrete framework for separating real acquisition from expensive demand capture. A precise breakdown of how branded search inflates the metrics teams use to justify their ad budgets. (Image Credit: Kevin Indig)…
It’s That Simple is our series about recipes so easy, you can make them with your eyes closed. Think tiny ingredient lists, laid-back techniques, and results so delicious you’ll text home about them.The quickest way to kick off a party is by laying out a platter of deviled eggs, and this deviled egg recipe makes the appetizer especially hard to resist. They’re smoother, creamier, and richer than most—and absolutely packed with filling—thanks to one clever trick: blending a few whole hard-boiled eggs into the yolk mixture. The technique, inspired by a recipe in Second Generation: Hungarian and Jewish Classics Reimagined for…
Social Marketing Trends The data you’ve been missing! Need a new plan? Discover how marketers plan to change their social activities in the 17th annual Social Media Marketing Industry Report. It reveals what marketers have planned for their social activities, content marketing, and more! Get this free report now and never miss another great article from us. Join more than 385,000 marketers!
[Submitted on 16 Mar 2026] View a PDF of the paper titled RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models, by Ravi Ranjan and Utkarsh Grover and Xiaomin Lin and Agoritsa Polyzou View PDF HTML (experimental) Abstract:Transformer based diffusion and vision-language models have achieved remarkable success; yet, efficiently removing undesirable or sensitive information without retraining remains a central challenge for model safety and compliance. We introduce Ratio-Aware Zero/One-step Optimized Retentive unlearning (RAZOR), a lightweight, model-agnostic unlearning framework that generalizes forgetting updates to coordinated multi-layer and multi-head edits within transformer backbones. RAZOR identifies the most important…