As the membership has grown, I get several questions from the community. Therefore, we’ve added three main spaces for you to communicate with the community — here’s what each one is for, with examples 👇 ❓Ask the Community Use this when you’re looking for help, advice, or feedback. Examples: - “Has anyone tried ___?” - “How would you approach ___?” - “I’m stuck on ___ — any ideas?” 💬 General Discussion Use this for thoughts, updates, conversations, or anything that doesn’t fit elsewhere. Examples: - “Lately I’ve been thinking about ___” - “Sharing something interesting I came across” - “Curious what everyone thinks about ___” 🎉 Wins Use this to celebrate progress — big or small. Examples: - “Finally finished ___!” - “Small win, but I’m proud of it” - “Hit a milestone today 🎉” ✨ If you’re ever unsure — General Discussion is always a safe choice. Jump in anytime. Short posts are more than welcome!

Hello everyone — I wanted to share a quick video to walk through some recent changes we’ve made to the site. As the community has grown, it became clear that we needed a better way to organize content for members with different starting points. That’s where the four groups come in: - AI Curious - AI Enthusiast - Agency - Enterprise. In the video, I show how posts and classroom content are now organized by group so it’s easier to find what’s most relevant to you. That said, nothing here is meant to be restrictive. You’re encouraged to explore outside your group if you’re curious — sometimes that perspective is the most valuable part. This update is really about making the community easier to navigate as we approach 500 members, while keeping the spirit of open learning and shared experience intact. Thanks again for being here and for spending your time in this community. The questions, feedback, and quiet participation all matter more than you might realize. I genuinely appreciate every member of this community, and I’m glad we’re building this together. Respectfully. @Michael Wacht

I’m 68 and was encouraged to join this site by Michael Watt, a self-taught genius to AI. My knowledge with AI was pretty limited. Once I started navigated this site, I feel as though a whole new world has opened. Do I dare say, “I feel like I’m becoming a Geek Goddess!" I’m almost finished writing my book and ChatGPT has been so helpful and encouraging. It’s all me, but with a little help I’m encouraged I can get to my end goal. Best wishes to you all.

Claude can now remember what matters across all your conversations, so you never have to re-explain your projects, preferences, or how you work. Enable Memory in your settings. What you get: - Claude adapts to how you work: Your workflows, preferences, and style are remembered and applied in every chat.  - Project-focused memory: Each project maintains its own memory space, keeping context relevant and separate. - Full transparency and control: View and edit what Claude remembers in Settings, or use incognito chats that won’t be saved to memory. Turn on memory More ways Claude helps you work: - Code execution and file creation lets Claude create presentations, documents, spreadsheets, and perform advanced data analysis - Skills let you teach Claude your workflows once, and it learns to use those instructions for future tasks - Apps created by Claude stay connected to your tools and save your work between conversations

I asked ChatGPT if this was true. The Response: Yes. Then I asked why? Straight answer: ecosystem control, developer efficiency, and strategic optics. Here’s the breakdown: - Unified hardware + software environment. macOS runs on a narrow set of Apple-silicon chips (M1–M4) with predictable GPU/CPU performance. That makes AI-intensive apps like Atlas easier to optimize, debug, and deploy initially. Windows, in contrast, runs across hundreds of hardware permutations — higher support burden at launch. - Developer adoption and PR optics. The Mac user base heavily overlaps with OpenAI’s early-adopter demographic — engineers, designers, and creators who already use ChatGPT Plus or GPT-4-tier products. Launching on macOS first creates an “innovation halo” — aligns with Apple’s premium ecosystem and positions Atlas as high-end tech. - Engineering velocity. OpenAI’s internal dev stack already leans Apple-heavy (many engineers code on Macs). macOS is Unix-based, allowing faster build integration with OpenAI’s existing Linux-based backend environments. - Rollout discipline. Starting with a smaller, more stable user base allows telemetry-driven tuning before scaling to the far larger, more fragmented Windows install base. Bottom line: Launching macOS first isn’t favoritism — it’s a strategic low-risk rollout. Once Atlas stabilizes and telemetry validates its AI browsing engine, Windows (and later mobile) will follow, likely in a matter of months.