Quality AI Isn't Free: The Real Lesson from the GPT-5 Launch
My take on the recent discourse around GPT-5’s instability is that it’s less about a technical stumble and more about a classic release management problem, a challenge familiar to any large IT company. The more telling issue, however, is the reports that the GPT-5 model is performing worse than its predecessor. This isn’t a bug; it’s a feature of a business decision. It indicates a strategic push to make the models more cost-effective. When you’re serving 700 million users, the priority shifts from peak performance to scalable, affordable operations. The casualty in this equation is often quality. ...