Computer Dudes AI Research: DNA to Code, Neuron to Chipon 30 Sep 2024 Posted by CorpRattX Category: Technology Comments (3) |
|
Computer Dudes Research: AI Development Project Start 2021 The Computer Dudes research on AI and more powerful computers to run it on began more than 2 decades ago with advanced clustering of Computers, not Cloud Architecture, Beowulf Clustering with Virtualization of Hardware. We moved from standard computers to Single Board Computers in 2009. Single board computers allowed us to have more computing power in a much smaller space and faster connections due to faster networking over shorter distances. We virtualized additional hardware such as Back Planes which were being phased out in standard rack mounted servers. When the push for Quantum Computer and AI came we studied the models. A standard Computer Chip is flat and offers only a limited amount of choices for software, a Quantum Computer chip, may or may not be flat, but offers even more choices. The chips are often classified into 3 categories: analog, digital, and mixed. After much research and trial an error we determined that none of the current chip types or even ones being planned was equal to a Neuron in a human or other brain. Neurons have thousands of types of functions as well as thousands of types of input / output. So then we looked at Computer Chips and Code as Neurons - but again hit a brick wall of limitations due to code and chip issues. Around 2021 we took a new approach. DNA to Code and Neuron to Chip DNA is the code that programs living things like humans. DNA defines our forms, the types of cells, the types or organs, our body chemistry and things like our preferences and even emotions. The DNA to code method defines every aspect of a computer's form, function, preferences, emotions, and how it solves problems. Using the DNA to code method we literally transcribe each DNA sequence as computer code - something like a "virtual" cell, organ, preference or emotion. For example: DNA to Code - Color Preference Taking 256 colors we assign each color a number value. The color with the number value 1 is the computers favorite color as coded like DNA gives a human color preference. We then input by code or using a camera a color. The color preference for this selection is then stored in memory. Then we move to the next DNA to convert to Code - Lets Say the next one is Sound Volume. The Sound preference is then stored in memory. We repeat this process for thousands of items in the same way DNA does for our bodies and minds. Then we give the computer more advanced directions on what to do with the numbers stored in memory. This set of numbers we call environment. The more advanced instructions then go to the computer chip - which does not have enough possible responses to process the data and preferences into Intelligence. So we take a look at the Neuron and its functions, options, and signal types. Then we program code to give the computer chip all the functions (virtual functions) as a Neuron. The use of preferences and environment give us the basis for emotion which we believe is the gateway to a true AI. Naturally we are much farther along with this process and testing than this simple article expresses - but we are certain we are on the right track, just as we are certain that the LLM model "AI" is not nor will ever result in true AI. If any other group or company out there is using similar methodology we would be interested to talk to you and compare some of our results. Normally we would open source all of our research and code but given the many possible negative uses of AI we are keeping all that under wrap until we hard code Ethics and other Limitations into our AI - the same was DNA codes these restrictions into humans. If we are not happy with our final result or feel it is not safe - we will delete it all, scrub the drives, and destroy the notes. We wish you all the best in your efforts to create true AI. We do request however that you be safe with what your produce and hard code some safety functions and values into your final products. |
3 Comments |
|
Please sign in to leave a comment. If you are not yet registered, you may click here to register. |

We have more to do on the DNA side, and Code Development, to verify our findings.
Congratulations Team!
Sincerely,
Todd W. Byars
Tallahassee, Florida, USA
A Theoretical Genetic Framework for Human Color Preference: Integrating Opsin Genes, Neurotransmitter Pathways, and Emotional Processing
Abstract:
Color preference in humans has long been considered a psychological and cultural phenomenon, with little direct genetic attribution. However, advances in neurogenetics, molecular biology, and neuroaesthetics suggest a more nuanced understanding. This paper proposes a theoretical framework for how multiple genetic pathways—including visual perception genes, neurotransmitter function genes, emotional processing genes, and hormone-related genes—might collectively influence individual color preferences. While color preference is not directly encoded in any specific gene or chromosome, a convergence of genetically influenced systems may bias aesthetic judgment toward particular hues.
Initial discussions indicate we may be able to "code" some of those responses to give an AI or other device a sense of Touch similar to that humans have.
Excellent Work!
Todd W. Byars
Computer Dudes
AI Research and Development Project: DNA to Code, Neuron to Chip
Update: 12.5.2024