In Pursuit of the Unattainable: The Conundrum of Artificial General Intelligence

The aim of this thesis is to argue against achieving Artificial General Intelligence (AGI) revolving
around (i) programs being insufficient to create human­like intelligence due to their lack of
semantic grasping and (ii) our inability to effectively model complex systems. The challenge is
magnified by our struggles to mathematically explain basic complex phenomena, raising doubts
about our capability to replicate intricate structures like human intelligence or vertebrate brains.
Attaining AGI requires transcending the limitations of current mathematical and computational
paradigms, with a call for a revolutionary leap in both areas. Despite these challenges, replicating
non­human intelligence, even if encountered, remains unfeasible due to complexities beyond our
current capabilities. Overall, achieving AGI presents an immensely challenging prospect for the
foreseeable future.