AI & Tech: This Week’s Interesting Reads

I’ve been diving into a lot of thought-provoking stuff around AI, creativity, and tech ethics lately. Here’s a small wrap-up of what caught my attention this week — a mix of optimism, reflection, and curiosity.

🧠 1. The State of Open AI Research

A deep dive into how open-source AI projects are challenging proprietary models. The balance between transparency and safety continues to be one of the biggest debates in the space.
→ Read on Hugging Face’s blog

⚙️ 2. Automation and the Future of Work

This piece explores how automation might reshape employment, not just by eliminating jobs but by changing how we define work.*
→ MIT Technology Review

💬 3. Why AI Ethics Needs a Broader Lens

Ethics isn’t just about bias and data — it’s about power, access, and agency. A reminder that “ethical AI” has to include social context, not just good intentions.
→ The Gradient

🎨 4. Creative AI Tools Worth Trying

I’ve been experimenting with tools that spark creativity rather than replace it — text-to-image generators, AI-assisted writing platforms, and more.
→ RunwayML
→ Notion AI

🌍 5. The Big Picture

AI is moving fast, but so is our understanding of it. The most inspiring thing I’ve read this week is a reminder that human imagination remains at the center of every breakthrough.

What I’m Thinking About Next:
How can we make sure that AI tools remain collaborative, not competitive, with human creativity?