In speech recognition, and tech in general, bold claims are everywhere:

“Best accuracy.”

“Diverse training data.”

“Real-world performance.”

They sound great, but too often, there’s little transparency or data behind them. Without metrics, it’s impossible to know whether a claim reflects real capability or just clever marketing.

It reminds me of a story a friend once told me. She used to travel constantly for work and always struggled to keep up with laundry. One weekend, she spotted a dry cleaner with a big sign that read “Same Day Service!” Relieved, she dropped off her clothes and asked when she could pick them up.