Most AI news reads like it's written for ML engineers. Papers with arxiv links, breathless announcements about parameter counts nobody outside a lab cares about, and "revolutionary breakthroughs" that turn out to be incremental improvements on a benchmark.

I kept running into the same problem: I needed to stay current on AI for my work, but every source was either dumbed-down clickbait or impenetrable academic writing. There was no middle ground.

So I built one.

The Problem With AI News Coverage

The AI news ecosystem has a gap. On one end: TechCrunch and The Verge writing "ChatGPT can now do X!" with no technical depth. On the other: research blogs assuming you know what LoRA fine-tuning means and why a 2% improvement on MMLU matters.

The people who actually use AI tools daily — marketers, developers, business owners, writers — need something different.…