The impact of capitalization in prompts, such as using all caps, on AI results is highlighted in the provided transcript excerpts. It appears that the capitalization of words can influence the response quality from AI models:

1. Case Recognition:
- At 00:10:41 - 00:10:49, it is mentioned that "if the large language model has a case recognition, then capital 'do not' is a different semantic thing than lowercase 'do not'."

2. Effect of Capitalized Prompts:
- An example is discussed from 00:10:00 - 00:10:27 where it is noted that "for some reason, if I capitalized 'do not', it did a much better job. We don't know why, right? Like, that is the poking and prodding of the machine."

3. Empirical and Logical Approach:
- In the segment from 00:10:35 - 00:10:41, it is suggested that AI models process prompts in a way that "feels a bit more empirical and logical," indicating that capitalization might be part of how the model interprets and processes input.

In summary, using capitalization, such as all caps, in prompts can affect the results provided by AI models. This effect might be due to the model's recognition of case differences, which can change the semantic interpretation of the input, leading to variations in response quality.