The video compares OpenAI’s new “o1 preview” model with GPT-4 in generating a six-line poem about squirrels playing soccer against koalas, highlighting how GPT-4 struggles to meet specific constraints due to its inability to revise its output. In contrast, the o1 preview model demonstrates enhanced reasoning and adaptability, successfully crafting a poem that adheres to all the given guidelines.
The video discusses the capabilities of OpenAI’s new model, referred to as “o1 preview,” in generating poetry compared to its predecessor, GPT-4. The focus is on a specific prompt that challenges the model to write a six-line poem about squirrels playing soccer against koalas, while adhering to several constraints. These constraints include specific word endings, starting letters, and syllable counts for certain lines. The presenter highlights how GPT-4 struggles with this task due to its inability to revise its output after the initial attempt.
In the first part of the video, the presenter demonstrates GPT-4’s attempt at the poem. While the model manages to meet some of the constraints, it ultimately fails to satisfy all of them. The presenter explains that GPT-4’s limitation lies in its requirement to produce a correct response on the first try, which makes it challenging for the model to ensure that all specified conditions are met.
Next, the video transitions to showcasing the o1 preview model’s approach to the same prompt. Unlike GPT-4, o1 preview engages in a more thoughtful process before arriving at a final answer. The model’s reasoning is visible, allowing viewers to see how it considers various rhyming words and analyzes the constraints step by step. This reflective process enables the model to explore different word combinations and phrases that fit the requirements of the poem.
As the o1 preview model works through the prompt, it carefully checks each line against the constraints. For instance, it identifies suitable words that end with the letter “i” for line two and ensures that the second word in line three begins with “u.” The model also pays attention to the syllable count in the final line, demonstrating its ability to adapt and refine its output based on the given guidelines.
Finally, the video presents the completed poem generated by the o1 preview model. The poem successfully meets all the specified constraints, showcasing the model’s enhanced reasoning capabilities. The presenter concludes by emphasizing that the ability to evaluate and revise its output allows o1 preview to produce higher-quality responses, particularly for complex prompts like the one involving squirrels and koalas playing soccer.