Variations

Incentivize giving feedback

Presenting multiple outputs helps users explore and identify their preferences and provides valuable insights into their choices, even enabling user feedback for model improvement.

This image features four abstract visual representations, possibly generated by Midjourney, showcasing "diffusion AI grain." The visuals include a central spiral structure, a flowing wave-like formation, a complex geometric mesh, and a field of wheat. The highlighted selection indicates "V2" with a cursor pointing to it.
Human needs

When generating outputs, I want multiple suggestions to explore and identify my preferences, so I can choose the best option.

Considerations
  • Personalized Outputs through Progressive Refinement: The process of making suggestions and progressively narrowing down options can lead to more personalized and satisfactory outputs.
  • Ideal for Uncertain User Preferences: This approach is ideal for situations where users may not fully know what they want. Many tools that take a longer time to generate output provide at least two options to choose from. For example, Suno and Midjourney do this.
  • User Preference Feedback: Allowing users to pick between multiple outputs informs the model which one is preferred.

More of the Witlist

Translate in X terms

Provide relatable and engaging translations for people with varying levels of expertise, experience and ways of thinking.

Spatial Prompting

Spatial prompting integrates spatial relationships into prompts, offering a novel approach to manipulate concepts. This dynamic approach can lead to more intuitive and creative outcomes.

Evaluate predictions

When an observation is added to the context from an implicit action and a prediction is made, users should be able to easily evaluate and dismiss it.

Live chat echo

AI can enhance live chat streams by analyzing real-time data, identifying trends, and driving interactive elements like voting to boost audience engagement.

Navigate the space

Ordering content along different interpretable dimensions, like style or similarity, makes it navigable on x and y axes facilitating exploration and discovery of relationships between the data.

Classifying topics

AI excels at classifying vast amounts of content, presenting an opportunity for new, more fluid filter interfaces tailored to the content.