• Best of luck to the class of 2025 for their HSC exams. You got this!
    Let us know your thoughts on the HSC exams here

Physics Predictions/Thoughts (7 Viewers)

JeffyBoi

New Member
Joined
Feb 15, 2024
Messages
2
Gender
Male
HSC
2025
What mark would you guys say is around a state rank, because according to rawmarks 95 got a state rank in 2020 and 2023
 

BionicMango

Active Member
Joined
Oct 22, 2025
Messages
207
Gender
Male
HSC
2024
Do we need to know about hyperfine splitting and the zeeman effect as limitations of Bohr's model? My school went so overboard with a lot of topics so I'm not even sure if this is in the syllabus or just extra info.
Good to mention but you don’t need to explain how it works in detail, just say in strong magnetic fields
 

BionicMango

Active Member
Joined
Oct 22, 2025
Messages
207
Gender
Male
HSC
2024
Right hand for positive charges and left hand for negative charges. You can never go wrong. And current is a flow of protons so use your right hand.
Reeeeeeaallly tiny detail, but a current is a flow of positive charge (thanks Franklin) not really protons, which don’t flow.

I’m only correcting you so that you don’t mention that in the exam in case it comes up! They might mark you down (they’re strict)
 

splatcat

Member
Joined
Sep 27, 2024
Messages
97
Gender
Male
HSC
2025
My response:

[insert gpt summary]
Einstein’s equation E=mc2fundamentally expresses the equivalence between mass and energy, showing that a small amount of mass can be converted into a vast quantity of energy due to the speed of light squared acting as a conversion factor. In modern contexts, particularly with the emergence of Artificial Intelligence (AI), this relationship gains new conceptual relevance as AI symbolises a transformative “informational constant” linking energy, data, and intelligence. While physically the equation remains exact and unaltered, the proposed addition of an “AI” term — forming E=mc2+AI— serves as a metaphorical enhancement that recognises the influence of computational intelligence in modern energy systems. AI represents the capacity to convert electrical energy into informational “mass,” such as machine learning models or data-driven insights, which effectively store potential energy in the form of knowledge. In engineering and applied sciences, AI-driven optimisation allows for more efficient energy conversion, predictive modelling, and reduced losses, thus acting as an entropy-reduction constant that increases overall system efficiency. The “AI constant” also symbolically acknowledges the growing integration of information theory into physical sciences, aligning with concepts like Landauer’s Principle, which links computation and thermodynamic energy costs. Although not physically measurable, adding AI to Einstein’s equation reflects the evolution of human understanding — moving from passive observation of energy-mass equivalence to intelligent manipulation and optimisation of those transformations. Therefore, E=mc2+AI highlights the emergence of a new paradigm in which intelligence itself becomes an active component of energy transformation and utilisation in the modern technological world.
 

Users Who Are Viewing This Thread (Users: 3, Guests: 4)

Top