The space is moving so fast it's hard to keep up. If you had to delete every subscription except for one... Which one stays? 🏆

How do people create working memory for AI (like ChatGPT, etc.) so it is not all web based, but learns and grows and builds a unique business brand?

I'm using AI to create tools to help veterans. I first used AI to write my book, The Veterans Guide to DIY Mental Health. I’m very close to launching my new app, The Veteran’s Guide, which provides coaching and free veteran resource-matching. Glad to be here to learn about more ways I can use AI to serve veterans. Carma Connor, CEO Women Warriors Connect

Hi it is Winnie here from Perth Western Australia. I run a small yet successful Chinese Medicine Clinic. The problem I have is I am the business. I am hoping to get some advise here to transfer my situation to own a business by integrating AI without having to hire two many staff. I trust there must a lot of small business owners are on the same boat. All suggestions are welcome

📝 TL;DR HeyGen says its new Avatar V model can generate long-form talking avatar videos from a single reference video, while preserving not just someone’s face, but their speaking style too. That is a big step because the gap is no longer just visual quality, it is whether AI video can feel recognizably human. 🧠 Overview HeyGen has introduced Avatar V, its latest avatar video generation system, built to create high-resolution talking-head videos from one reference video plus a driving audio track. The company says the model can preserve both static identity traits, like facial structure and texture, and dynamic traits, like speaking rhythm, expressions, and head movement. That matters because most avatar tools can mimic appearance, but often lose the subtle behavioral cues that make someone feel real. 📜 The Announcement HeyGen published Avatar V on April 8, 2026 as a research release describing the model architecture, training pipeline, demos, and benchmark results. According to the company, the system can generate avatar videos of arbitrary length, handle cross-scene generation, and outperform several leading methods across identity preservation, lip sync, and motion naturalness. It also says the model was trained through a five-stage pipeline that moved from broad video pretraining to more specialized alignment for avatar quality and human preference. ⚙️ How It Works • Single video reference - Avatar V uses one reference video to learn both how a person looks and how they naturally move while speaking. • Audio-driven generation - A driving audio signal tells the avatar what to say, while the model generates matching mouth movement, expressions, and timing. • Full video conditioning - Instead of compressing identity into a tiny summary, the model uses the full token sequence from the reference video for richer detail. • Longer context, better identity - HeyGen says longer reference clips help the model capture talking cadence, micro-expressions, and gestural habits more accurately.