The machine consciousness hypothesis states that the conditions of self organization that lead to the discovery of consciousness in the communication patterns of biological cells can be recreated on artificial substrates, and thereby test the biological consciousness conjecture.
SYSTEMS
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Biological Consciousness as Information Processing Substrate for Coherent Agents
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Biological consciousness may be the simplest way to train a self organizing information processing substrate (such as the brain of an animal) into a coherent agent. It naturally leads to an experience and reflection of phenomenonology.
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Biological Consciousness as Perception Model Self
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Biological consciousness is a representation of what it is like to perceive, a perception of perception. It constructs a coherent real time model of the present, by stabilizing an observer that creates a model of world and self in the mind.
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Machine Consciousness: Testing Organism-Based Hypothesis Through Computing
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The machine consciousness hypothesis has two parts: a conjecture about consciousness in organisms, and its validation by translation into a testable computer model.
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AI as Final Step in Naturalizing Mind as Mathematics
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Artificial Intelligence might be the last step in a 2000 year intellectual project: the naturalization of the mind as a dynamic mathematical object. This is the essence of the machine consciousness hypothesis.
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Post-Agentic AI: Uploading Human Consciousness to Cloud Supercomputers
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Question to me; “Post agentic AI, do you envision the next evolution of AI to be a digitized humankind database where our subconscious is uploaded to the cloud as a super computer model to replicate human conciousness?” Me: “Arrey bhai aakhir kehna kya chahte ho?”
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Separate Database and App Servers from User Location
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Also your users are an often-underappreciated possible failure node. So put both db and app servers in places well separated from your users' location.
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Every Computer Science Subfield Now Oriented Toward AI
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Every subfield X of computer science is now X for AI: hardware for AI, systems for AI, databases for AI, security for for AI, etc.
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Gaming Hardware Inadequate for AI Server Builds
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the basics: don't build an AI "Server" on gaming parts – gaming mobos = 24-48 pcie lanes, limits you to 2 gpus max before bandwidth issues – gaming cpus (i9/ryzen) are built for games, not heavy multi-gpu workloads rgb ram ≠ ecc rdimms, you want error correction when pushing