When it comes to AI models like Qwen, we often focus on their impressive capabilities. And rightly so – Qwen has shown incredible promise in tasks like generating kawaii stickers. But have you noticed how we tend to give new models a free pass on certain flaws, only to later criticize them for the same issues we overlooked initially? It’s almost as if we expect each new model to be universally better than its predecessors in every dimension.
The truth is, humans are imperfect, and AI models will always have their quirks. It’s time to acknowledge that our expectations can sometimes lead to a ‘hedonic treadmill’ effect, where we’re never truly satisfied with the progress made. We need to be more consistent in our criticisms and acknowledge the trade-offs that come with each new model.
Let’s strive for a more balanced perspective, where we appreciate the advancements made while also recognizing the limitations. Only then can we make meaningful progress in AI development.