I explore how the definition of science keeps changing. Traditional views call it the systematic study of the physical world through observation and experiment. Modern work often crosses those borders.

We build models that predict well but may not capture the absolute truth. AI generates hypotheses from data. Large simulations replace some experiments. Funding and societal needs guide priorities.

This leads to a core question: Do we chase absolute truths about reality? Or do we create functional models that work in practice?

What does "the search" mean in your field? Share your current view of science. What core traits separate it from pseudoscience, philosophy, or engineering right now? What goal drives scientists in your field— truth, reliable predictions, practical benefit, or deeper understanding?

I welcome thoughts from physics, biology, social sciences, and other areas. A quick example from your research or a key paper would help ground the discussion.