Let us face the following basic question which we pose to chatGPT (do it yourself)
- Is understanding the essence of science?
Here are answers in short form with my comment below:
Premodern: Yes. Science aimed at explanation: identifying entities, causes, and principles (from Aristotle to Newton to Maxwell).
Modern: No. Science is defined by predictive success. Reliable input → output mappings are sufficient, even without clear mechanism (solidified with quantum mechanics and Bohr).
Core distinction:
Instrumental science: prediction, control, “does it work?”
Intelligible science: explanation, meaning, “what is happening?”
Chemistry as stress test:
Chemistry needs intelligible structure (bonds, molecules), not just prediction, exposing tension with StdQM foundations.
Bottom line:
Science can exist without deep understanding.
But science without understanding becomes technology, not knowledge.
The deepest crises in physics and chemistry arise precisely where prediction survives but understanding fails.
The next unavoidable question is:
- At what point does loss of understanding stop being pragmatic and become epistemic failure?
My comment:
We are informed by chatGPT after consulting the literature that modern physics has given up the essential classical element of understanding as a result of the take over of fundamental physics by StdQM, and that this is manifested in a deep crisis of epistemic failure.
RealQM is an alternative to StdQM keeping the ideals of premodern/classical physics of understanding as the essence of science.
Let me add that understanding in physics typically has
- mathematical form expressing laws of physics
- quantitative content
which describes RealQM but not so much StdQM.

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