Sweden caught headlines when a start‑up claimed its crows could barter trash for food, turning birds into city cleaners. The story appeared on LinkedIn with a flashy AI‑generated image of a three‑legged crow, but a quick search revealed the project never left a pilot phase. The headline misled readers and highlighted the dangers of unverified claims in the tech scene.

Later, a post on AI coding cited a SmartBear/Cisco study, claiming defect detection fell from 87% in pull requests under 100 lines to 28% for those over 1,000 lines. The author linked through a chain of articles, none of which cited the numbers. A quick look at the original paper showed no such statistics, exposing the claim as a hallucination.

Broder's rant underscores the broader issue: AI models often generate convincing yet false data, especially when sources are thin. Developers and writers must verify claims by consulting primary research, not rely on link chains that can be fabricated. Trust in technical writing depends on rigorous fact‑checking, or else credibility evaporates faster than the next headline in the digital era today.