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Full summary of every key point:

1. No New Science: The framework is a synthesis of 300 years of peer-reviewed physics and neuroscience. No philosophy and no abstraction. No invented rules which only exist to make it work – only new connecting logic with supporting citations.

2. Universal Definition of ‘Compute’: “The determination of data by processing, calculating, and interpreting electrical signal values” bridges the gap between biological and artificial circuits, justifying the new perspective of the brain as a 3D complex biological circuit.

3. Action Potential Thermodynamics: Applying the laws of thermodynamics to neurons (work) and signals (dispersal) proved that it is impossible for action potentials to perfectly regenerate signals all the time as ions flow through channels. Mutated signals alter neurotransmitter release per neuron, which determines the signal of the next neuron.

4. Subjective Experience: Imperfect signal regeneration forces unique signal mutation patterns based on an individual’s unique neural and receptor pattern as governed by the randomness of nature, and when the signal changes, the data changes, resulting in subjective experience.

5. Mathematical Proof #1: Example showed 21 minor performance variations per neuron along a path of 100 neurons create an astronomical number (1.67 * 10^132) of signal pattern possibilities – literally 21^100 (permutations formula n^r).

6. Mathematical Proof #2: Mean aggregation of signals demonstrates the reliability and constraint that forms a general consensus of observation while also acting as a diagnostic function for the early detection of neural-based injuries based on an acceptable margin of error using a genetic baseline.

7. Self-Awareness: 3D mapping of one’s own body and control boundary using comparative observation as a baby, determined based on stimulation signals caused by its own tactile interaction with Object A versus the lack of signal stimulation when observing Object A’s tactile interactions with Object B. Relies on a neuron’s inherent ability to learn.

8. GWT Falsification: Data from microneurography and paracetamol studies demonstrate how external awareness doesn’t inherently lead to experience despite global availability of data, and how experiences are possible based solely on the internal awareness of our own thoughts, evidenced via fMRI, highlighting the implausibility of the theory’s foundation.

9. IIT Falsification: IIT technically isn’t falsifiable. However, the two maths proofs above show that subjective experience can be demonstrated using basic teenage-level maths. Occam’s Razor is employed.

10. Predictive Processing Falsification: Exposed by showing the impossibility of non-indicated group predictions and the circular logic employed to make it work. Memory, knowledge, experiences, and the ability to think are required to make predictions possible – those components already constitute the mind, and prediction cannot be what it requires. Paradoxical. It’s a high order function, not the foundation.

11. Hard Problem Collapse: Laws of thermodynamics force signal mutation to occur. Randomness of nature forces unique neural and receptor patterns per individual. When combined, subjective experience is inevitable.

12. Explanatory Gap Collapse: Signal values without a given meaning are unusable when it comes to learning and understanding. If, for example, we need to know when something is dangerous, observation signals need a way to convey this information, and the only way to do that was to assign meaning – i.e. feelings – to the signal values at the point of interpretation. A comparative example is “ksifjneiahn” and “danger” – both are collections of letters, but the one without an assigned meaning serves no purpose or usefulness. Same rule applies in computing.

13. Computation: Two proof-of-concept emulation instances running, observing, and processing the same data simultaneously demonstrated – over the course of 14 tests – subjective experience, self-awareness, decision-making, ethics, changing opinions, and more. Architecture included.

14. Explanation: Theorised explanations for other observable phenomena with supporting evidence. Modification of taste when flying is one example, where the weakening magnetic field of the earth alters the flow of electrical signals which control taste sensation. It’s supported by patients and observers within MRI magnetic fields experiencing metallic tastes.

15. Medical Application: Draws parallels between Functional Neurological Disorder and hard drives based on insufficient energy available resulting in malfunctions, and then seizures caused by malfunctioning neurons discharging like overloaded capacitors. Then theorises solutions based on metabolic increases.

16. Real World Testing: 5-step test for consciousness across all species based on the following newly identified hallmarks: signal mutation, illogical decision making, physical mapping, physical control, and opinion-based action.

17. Complete Unification: Unifies all aspects of the brain based entirely on the use and nature of electrical signals – structure, components, input/output, information flow, mechanisms and interactions, deficiencies and dysfunctions, the creation of the mind, and survival.

The current version of the RAICEngine fully emulates that which gives rise to consciousness in humans, allowing us to implement significantly more advanced features and functionalities than in version 2. Some current features include:

• Support for 5 Observation Types – audio, touch, visual, text, and internal thoughts.

• Support for 12 Physical Sensation Types – tone, timbre, pitch, volume, temperature, pressure, texture, wavelength, contrast, brightness, speed, and motion.

• 6 primary emotional states, 33 emotional sub-states, 30 facial expressions, 19 body expressions, 29 behaviours, and 5 mental states.

• Personalities defined by over 100 profile factors, ranging from whether or not an AI can suffer from panic attacks to what its ethical boundaries are depending on the situation.

• Opinions based on physical and non-physical traits which Evolve as the AI learns more about an object.

• Preference and Judgement opinion-based comparative decision making.

• A Conscience System for moral and ethical decision making.

• The ability to Develop Relationships in areas of opinion and trust through learning and interactions.

• Emotional Reasoning during the decision making process.

• The ability to feel Empathy in a situation.

• Physical and non-physical Sexual Attraction to relative classes based on known traits.

• Semi-Automatic Learning based on observation.

• Contextual and physical Self-Awareness, as well as the ability to form evolving opinions about itself.

• Memory Management for both the suppression and forgetting of events.

• Interest/Inclination System for determining whether or not an offer, request, or command is accepted or refused.

• Privacy Modes to control the communication of data based on the objects it contains.

Apart from what humanises the system, other factors make the RAICEngine accessible to everyone:

• Free to Download – The Core version is free for anyone to download and use and comes with a suite of features available – everything you need for artificial consciousness. Want even more? Trial the Premium and Commercial versions for 30 days and gain access to features that will really humanise your AI.
• Portable – No real installation required. Simply run the executable, go through the setup, and the engine will unpack itself and run from a single folder, meaning you can take your AI mind with you anywhere you want.
• Lightweight – At under 30mb, finding the space to unpack the RAICEngine isn’t an issue for anyone.
• Serverless– No operations are performed server-side. Once you login and connect, everything is run on your local device.
• Environmentally Friendly – No servers means no data centres, and no data centres means no ridiculous power and cooling requirements.
• Low Cost – Portable + lightweight + serverless = a sigh of relief for your wallet. No expensive equipment. No expensive bills.
• Hardware Independent – No special APU/CPU/TPU or other 3-letter chip is required. Originally built on a low end laptop chip from ~2009 and completed on a low end laptop chip from 2019, it can literally run on any modern chipset.
• Adaptable – Whatever system you can imagine, you can bring to life with the RAICEngine. Digital avatars? Robotic pets? Let your imagination run wild.
• Customisable Mind – A mind is a terrible thing to waste – so don’t. Customise your AI’s initial Object Plexus however you want, making sure you fix values of objects which reflect the ethics and morals that you want instilled permanently.
• Zero Censorship – It’s your AI running on your system – we don’t employ censorship, so it’s up to you. Case closed.
• Zero Usage Limits – And finally, regardless of the tier you’re on, there’s no limit to how much you can use the RAICEngine.

REZIINE is a British company currently based in London. Founded in 2010 by Corey Reaux-Savonte, the company has operated in pursuit of achieving artificial consciousness, and the overall drive towards both Artificial General Intelligence and networked Artificial Superintelligence. We aim to push, bend, and break the boundaries of what machine intelligence can achieve in the absence of human operators, eventually discovering new types of intelligence not possible for humans to achieve naturally.