🚨 AI coding agents can build amazing things.... But then you still need to manually deploy the code on Vercel, Netlify, etc... And sometimes, the work your agent creates is still buried in chat, stuck in a .md file, or sitting on localhost. But I just found Showly AI... And it lets your coding agent: 1️⃣ Deploy a Project 2️⃣ Track Code Changes 3️⃣ Rollback Bad Deploys 4️⃣ Turn your agent's work into a shareable page Check the Thread 👇

🚨 AI VIDEOS ARE DEAD.... You can now create interactive AI videos!! You can control it with WASD keys (or) prompts. This isn't just AI video generation... It's a real-time WORLD MODEL that continuously evolves a world with persistent state 💀. Check this 👇👇

Every time I check Dreamina, there’s another major update. At this point I’m less surprised by the features and more confused about the economics. What is Dreamina cooking? 🤨

15 seconds in a single generation pass is a pretty meaningful jump. Fewer retries, smoother motion, and longer clips make AI video workflows a lot more practical. Curious to see what creators build with Solo Video.

Building content today is less about finding AI tools and more about finding the right workflows. #HowToMakeMyCampusLit @Dreamina_ai updated the Dreamina AI web experience and canvas, and it’s live now. What’s interesting is that it comes with ready-to-use AI video workflows and skills for different creative needs, including film, brand ads, viral social media content, and more. If you’re creating regularly, having those workflows built in can save a lot of time and make it easier to keep the whole creative process moving. Get 90% OFF your first month of Dreamina Basic. Limited offer available till October 9th. If you create video content, Dreamina AI is worth checking out.

Most AI creators eventually realize there's no single "best" image model. Some prompts look better on Nano Banana Pro. Others work better on GPT-Image-2.5-Sunburst or Qwen-Image-3.0-Pro. That's why I like having multiple options in one place instead of constantly switching between tools. Nice to see ZenMux Studios bringing them together, and for a limited time, Nano Banana Pro, GPT-Image-2.5-Sunburst, and Qwen-Image-3.0-Pro are 30% OFF. If you've been meaning to test and compare these models, this is probably a good time to do it. 👇

🚨 Xiaomi's new open-source model just quietly climbed near the top of the AI leaderboard. MiMo V2.6 Pro scored 46 on the Artificial Analysis Intelligence Index, making it the highest-ranked open-source model there and putting it just 1 point behind GPT-5.6 Sol. It also ranks ahead of: → Qwen3.8-Max → Kimi K3 → GLM-5.3 And it’s not just competitive on intelligence. On cost, it comes in at around $0.13 per Intelligence Index task. For context, Grok 4.7 launched the same day and also scores 46, but AA puts its cost at $2.73/task at high reasoning and $3.74/task at xhigh. MiMo V2.6 Pro is fully multimodal and designed for: • Complex research • Long-horizon reasoning • Scientific workflows • Cybersecurity tasks Xiaomi says the gains came through a post-training self-improvement system rather than changing the pre-training foundation. The benchmarks are strong, but the real test is what developers can actually get out of it. #AI #OpenSourceAI #LLM #Xiaomi #MiMo

Been testing a lot of image models lately, and Hunyuan 3.5 genuinely surprised me. Good image quality, fast generations, and the cost is hard to ignore. Feels like one of those tools that’s worth trying for yourself.

Agents don’t fail because they can’t do the work. They fail because they don’t have enough context. Building a knowledge graph around your credentials, history, and workflows feels like the missing piece for making agents actually useful in day-to-day work.