Original Post
Erik J. Larson did a big deal of a deep reinforcement learning work for DARPA span over a several decades.
He found, that humans somehow are capable of making "educated guesses" that are too lucky, probabilities concerned.
ML works great to execute "induction": to predict that "all swans are white".
Boolean logic works great to execute "deduction": ("when found a black swan, apply a Bayesian probability update to the inductive engine.")
We can try to explain the hard problem of consciousness by evolution: a natural selection of those agents, who survived by making multiple "right choices," and ended up on the "lucky" branches (in the sense of the "many-worlds" interpretation of quantum mechanics).
Larson uses the term "abduction", to define the key mechanism people use to make these lucky guesses. In his book, he elaborates on why it is important to be human, and to believe in the importance of the way we THINK. He's an expert in machine learning, and understands EXACTLY, why we can't build AGI yet.
Perspective directions can be found in quantum computing (Federico Faggin) and real living cells (Cortical Labs.)
Enjoy the deeply intriguing, touching, and life changing read: