For people building with GPT models daily, what's the biggest real shift you've noticed in the last month or two?

Not asking about announcement-day hype, more curious what's actually changed in how you use these models day to day, whether that's capability, reliability, or just a workflow trick that's made a real difference. what's been the actual signal lately versus the noise?