ChatGPT4 is not great at imitating writing styles yet. I gave it 9 samples of my writing, including a Markov chain generated set and its ability to imitate it isn’t there yet. HOWEVER, it really does excel at summarizing. Here’s summaries of the 9 samples I gave [I’d searched for XOR on my past posts]
gpt4 OUTPUT:
1. XOR as embedded function: Discusses XOR as a necessary function in decision-making and compares it to Rule 90 of Wolfram’s cellular automata, resulting in a Sierpinski sieve, which has triangular strength and scalability.
2. Systems model of neural engagement: Describes the neural system model Kenneth Udut arrived at through trial and error, and its connection to double-loop learning, NOR, NAND, and other concepts.
3. The child as father of the man: A philosophical statement about the role of childhood experiences in shaping the adult we become, posing a challenge to logical thinkers.
4. Ontologists and vocabularies: Explores the idea of individuals as ontologists who create their own vocabularies and conceptual frameworks that may or may not align with others.
5. Brain on a chip: Describes Udut’s exploration of the IBM “brain on a chip” and other similar technologies, as well as his thoughts on NOR, NAND, parallel processing, and human attention.
6. Consciousness and truth: Discusses the role of consciousness in reconciling internal and external experiences, and how the brain processes mismatches between expectations and reality.
7. Domain name poetry: Lists a series of domain names Udut experimented with over the years, showcasing the variety of concepts and ideas he explored.
8. BASIC AI by Kenneth Udut: Presents a simple AI algorithm that anticipates and processes data, handles mismatches, and learns from contradictions or metaphorical matches.
9. Markov chains and generated text: Shares an AI-generated text using Markov chains based on Udut’s input, resulting in a series of unconventional and surreal statements.