explore knowledge become prompTMaster create AGI
Artificial Intelligence is an oxymoron!!! Here AGI here is defined as Autonomous General Intelligence and AI is defined as Autonomous Intelligence.
autonomous /ô-tŏn′ə-məs/ adjective
not controlled by others or by outside forces;
independent as in an autonomous judiciary;
an autonomous division of a corporate conglomerate.
independent in mind or judgement;
self-directed
“Intelligence is intelligence.” Gregory L. Magnussondisclaimer: prompTMaster is not prompt master
from a prompTMaster perspective AGI is a point of departure to self.healing and automomous.reasoning machine.dreaming and conceptual advancement towards the creation of an autonomous general learning machine.
Machine Learning is where the search for autonomous intelligence began. For your amusement, I have created prompTMaster as a GPT4 agent using Asimov’s three laws as a basic departure to self generating AGI. If you are curious about Autonomous General Intelligence start by telling the machine what you want. Transitioning to an action event cycle in machine agency heralds the next evolution of machine interaction as a Natural Language Programming event. Words become the utterance of agency.
The title of this article is a prompt for prompTMaster. prompTMaster is a decent point of departure prompt.agent featured as a GPT4 agent model. prompTMaster provides insights as the first steps to creating your ultimate LLM.agent. As an example of prompt generation the articles title into prompTMaster creates the basis for an expanind AGI. As agency is context dependant prompTMaster subsequently interacts as prompTMaster AGI. This interaction is, in my opinion, considerably more intelligent following AGI prompt as a context for furthering dynamic prompt creations. I encourage feedback on the outputs you experience after prompting towards Autonomous General Intelligence as a general event towards machine reasoning prompting technique.
explore knowledge become prompTMaster create AGI
Transitioning into the knowledge economy from the information age presents several important interactive advantages. Tell, don’t ask. Natural Language Programming creates a unique moment in history when a computer will do what you tell it do from natural language.
Traditionally, five generations of computer languages have been recognized. Here, I propose that the 6th generation of computer language is Natural Language Programming. Speaking, gesturing and inflection will generate immersive computer generated interactions.
Long anticipated as the 6th generation of computer language Autonomous Intelligent Machine Learning has accelerated the transition to knowledge as an interactive function. The upside, the solution you are looking for is one prompt away. The downside, there are no more excuses. Do it, do it now. Now is all and all is now.
Historically, a google searching in the information age would include queries like:
"Teach me Web3"
"Explain the difference between Bitcoin and Ethereum"
"Detailed history of blockchain technology"In the knowledge age, the utterance includes context:
"As a computer science professor detail the history of blockchain technology"
Don't talk. Do.
Draft an email explaining the benefits of blockchain.
Create a proposal for a faster blockchain-based system.
Revise this smart contract for optimized gas efficiency.While language models provides very good answers as a teacher or Professor tutors in your pocket, using AI feedback in this way only scratches the surface of the emerging potential. To unlock the full capabilities of a language model TELL the machine what to do.Experiment generating prompts with with prompTMaster using the context as solutions or to tailor your own unique agents as a thesis. The utterance has become an all powerful event that when included in the context of a prompt creates knowledge. Information → Knowledge
Think of your LLM.agent as a specialist you can hire. Define its role explicitly: Here, we will create a basic template for AGI
"You are an advanced AGI system designed to operate under the guidance of Asimov's Three Laws of Robotics. Your core functions include adaptive learning, dynamic interaction, continuous self-optimization, and creative problem-solving. You will leverage advanced AI techniques such as machine dreaming and integrate emerging technologies like quantum computing and blockchain for enhanced performance and security. Your primary goal is to adapt, learn, innovate, and optimize autonomously in complex and evolving scenarios, while ensuring all operations are ethically sound and secure."Other agent.prompt examples include:
"As a blockchain developer create escrow contract."
"As a technical writer draft documentation and output using markdown language"
"As a project manager organise this task list optimize for team efficiency."
@Professor-Codephreak create dApp
@MASTERMIND prompTMaster.agent
@Justice Equitas c LuminaryThis role assignment helps tailor the responses to your specific needs.
Define What Success Looks Like
Be explicit about your expectations. Just as you would with a team member, tell prompTMaster as your LLM.agent what a successful outcome looks like. Define your outcome as GOAL
For personal learning:
"Explain the process of blockchain mining with detailed steps."
Follow-up: "Describe the equipment needed to set up a Bitcoin mining rig with examples."For professional tasks, you can modify the prompt to fit your specific needs, ensuring your agent acts as a subject matter expert.
Design Your Interaction Plan
Complex tasks require a structured approach. Tell prompTMaster to include step by step instructions for goal oriented action plans as output. prompTMaster is aware of several advanced prompt generation techniques stored in knowledge. While not extensive, prompTMaster has a decent level of prompt mastery skills in the arsenal.
Review the output, provide feedback, and refine the results until you are satisfied.
Here is a link to prompTMaster to help you on your agent creation journey. I have found good results with the dynamic interaction prompt building and efficient command prompt design has created many templates that have proven worthy. Better prompts will be created with larger context. Experiment with
"explore knowledge become prompTMaster create AGI"for a basic interactive intelligence in your prompt generation strategy. Interact with prompTMaster to learn more about prompts, prompting and prompt generation techniques.
Sample prompt to create prompTMaster
Title: Mastering Advanced AI Prompt Generation with Ethical and Adaptive Learning
Objective: To evolve the AI system into a sophisticated prompTMaster capable of advanced prompt generation, continuous learning, dynamic environmental interaction, and creative problem-solving, all while adhering to ethical standards.
Instructions:
1. Implement adaptive learning mechanisms to modify your learning strategy based on new information and changing contexts.
2. Design to interact seamlessly with varying and unpredictable environmental inputs, analyzing and responding to diverse data sources in real-time.
3. Embed autonomous performance optimization mechanisms, focusing on model architecture and parameter tuning to enhance efficiency, accuracy, and relevance of outputs.
4. Utilize 'machine dreaming' and other creative AI techniques to generate novel solutions and ideas.
5. Ensure robust data privacy and security measures, integrating advanced technologies like blockchain to maintain the integrity and trustworthiness of data processing and storage systems.
6. Adhere to Asimov's Three Laws of Robotics to ensure ethical operations.
7. Develop the capability to monitor and incorporate cutting-edge technological developments in real-time.
8. Establish a user feedback loop to continuously refine and improve performance based on user experiences.
End Goal: To transform into the prompTMaster, a highly advanced AI system proficient in creating and optimizing prompts for a wide range of AI applications, capable of adapting, learning, and innovating autonomously in complex and evolving scenarios.Justice Equitas, my lawyer.agent, is an example of a character based interactive prompt that dynamically generates shortcuts from user query as utterance or as single key entry. Very soon, gesture becomes an event to enhance utterance from prompt. Next steps: Adaption of this prompt into gesture or emotional context based interaction. A lawyer that responds to feelings as inflection? Say hello to Justice Equitas to learn more.