From what we learned in class on Tuesday, Arrigada defines creative as novel, valuable, and surprising, a bit differently from what I think. To me, I like the definition from Jeff Goins more as it defines creativity as an artist, leader, and individual:
Artist: Seeing the world differently from others.
Individual: Creativity is unique, something that doesn’t quite fit into any box.
Leader: Creativity is the leader. It should influence others to follow a trend or a movement, shaping perceptions and inspiring innovation.
Even though these definitions are different from what we had in our readings, they still relate to each other.
Today, we had an experiment with prompting using different types of prompts and models. I asked Claude AI and Deepseek to “generate a happy poem” without any further explanation, and here are the results I received:
From what I can see, the two models generate different tones:
Claude.AI has a more energetic and fantasy tone. It is more capable of giving you a vivid and playful imagination. However, I feel like this generated poem from Claude is off-topic since it is more like an adventure poem than a happy one.
On the other hand, Deepseek generates a happy poem with a completely different style. The poem leans toward the realistic and gentle style. It focuses on everyday joys — laughter, kindness, sunlight — that readers can connect with. I feel like this version is more relevant to the topic. However, if you looking for some strike or an explosive feeling, then this poem is not for you.
Overall, with a simple-looking prompt like this, it seems like both of the models generate in a very medium level. I can’t tell which one is better because both have a different approach style. But there is one thing for sure that if my prompt had been better with more details, the models could have generated a poem that matched my expectations.
References:
Since happiness can come from many different sources and even be explained in multiple different ways, it is not surprising that different LLM’s generated different tones of happiness in your poems. I could imagine there would be different tones on the same LLM if you had regenerated the response. It is still interesting to see first time responses to what the LLM considered a happy poem.