Thoughts on Interaction Models
A research agenda for interaction models — exploring how foundation models can move beyond passive query-response cycles into dynamic, uncertainty-aware reasoning partners.
Interactive Agents & Continuous Reasoning
Modern language models operate predominantly in static turn-taking paradigms. However, real-world scientific inquiry requires continuous background synthesis: speculating, fetching structured evidence, and refining intermediate hypotheses asynchronously.
Calibrated Interruption & Abstention
When should an AI agent interrupt the human expert? The key challenge lies in uncertainty calibration — knowing when confidence is low enough to seek guidance without creating cognitive fatigue. Grounding decisions in structured knowledge representations and conformal bounds provides the necessary theoretical safeguards.
Cite this post
@misc{saiteja2026interaction,
author = {Ala, Sai Teja},
title = {Thoughts on Interaction Models},
year = {2026},
month = {June},
url = {https://saiteja32006.github.io/posts/interaction-models.html}
}