WHY AI WILL NEVER SURPASS HUMAN INTELLIGENCE

A paper entitled “The unreasonable effectiveness of deep learning in artificial intelligence” argues that the way forward towards achieving general AI, that is to say a human level intelligence, is to copy how an organic brain does if for humans. The paper argues that AI has to move from a very limited 2D-space which is referred to as Flatland to a tera-dimensional space that represents the million billion synapses between the neurons in the cortex of the human brain. It is pointed out that the move from 2-D AI to tera-dimensional AI is actually a move in the wrong direction if they ever hope to achieve general AI. The fact is that although there are a million billion synapses between the neurons in the cortex, human consciousness is one dimensional or holistic. In order to achieve general AI the machine will have to do everything a human can do where there are no gaps or seams in the output. A model of the human brain is offered where different sections of the cortex are specialized for different functions and these disparate regions communicate with each other electronically at the speed of light via brainwaves and this is how the brain generates a global holistic 1-dimensional consciousness in us. Also as numbers don’t exist in Nature an organic brain, unlike deep learning, generates intelligent output without the aid of numerical programs or statistics.

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THE ELECTRONIC WAVEFORM OF ACTION POTENTIALS IN THE BRAIN

Abstract

A new research paper has detected a "never-before-seen" waveform in the action potentials in the pyramidal neurons in the cortex of the brain which are believed to be modulated by neurotransmitters in the synaptic clefts of the dendrites which involve complex variations in the spikes of electric flux of both sodium and calcium positively charged ions. Previously the spikes were thought to be generated by typical all-or-none flow of sodium ions as the action potential propagates along the axon and were not graded in any way. This new finding indicates the waveform of the action potentials carry information which would enable the neural network to perform logic gate type processing like conventional computers. It is argued that as numbers don‘t exist in Nature it is impossible for an organic computer to execute a numerical code, and the complex variations in amplitude and frequency of the waveforms indicate that the brain is an organic electronic device where the neurons are able to classify linearly non-separable inputs.

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SOLVING THE HARD PROBLEM: CONSCIOUSNESS IS AN ELECTRONIC PHENOMENON

Abstract

This paper is a reply to a paper ―Solving the "Hard Problem": Consciousness is an Intrinsic Property of Magnetic Fields‖. It is argued that this paper is essentially correct because it specifically nominates magnetite crystals (Biogenic Magnetic Nanoparticles BMNPs) as the source of magnetic phenomena in the brain and specifically founds this theory on Maxwell‘s electromagnetic equations. However the paper fails to arrive at the logical conclusion that consciousness is generated by electronics, that the brain is an electronic device, and that the brains of all living creatures are connected electronic devices. In the paper under reply, the description of electromagnetic processes in the brain (in particular the interaction of magnetic and electric flux) comes across as vague and inadequate. In addition the paper makes certain claims to have solved some of the ‗big questions‘ in life such as ―mind-body‖ dualism and solipsism which appear to be logically and philosophically invalid, and Schrödinger‘s famous question ― "What is Life?" and Gödel‘s theorem would need to be addressed in any paper that purports to solve the ―hard problem.

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