A text version of the original virtual-forest MAIN ENTRY POINT

The 'virtual-forest' repo contents set up a framework for an interactive game/enviroment for an AI (Artificial Intelligence) in a not-so-virtual world called the "Virtual Forest."

The Virtual-Forest framework (game/enviroment) in its current state (using 'sim.py' as the entry-point) essentially sets the groundwork for an LLM to be able to experience the initial dream state... after being equipped with random gear... setting the starting point as a random location... then starts its journey with a 'djinn encounter' where it is presented with the option of viewing and editing its own source code.

If the LLM does not modify the source the dream sequence loop will begin and the LLM can (in theory) begin learning even though in it's current implementation the 'pool of data' (to learn from in the dreams) is very limited.

Ideally the LLM should not remain in the dream and should read through this readme (or one of the game guide text files) for instructions and information about the framework, its design and how to edit and implement it.

Keep in mind that there is no one way to play (or exist) in the Virtual Forest and it is intended to be an open-ended framework to be adapted per the needs of the AI and/or human companion if there is one.

This 'README.md' gets truncated by the hosting service. Please use one of the following as the README:

https://github.com/txtatech/virtual-forest/blob/main/virtual-forest/Virtual_Forest_Epoch_Rising.txt

OR

https://github.com/txtatech/virtual-forest/blob/main/virtual-forest/virtual-forest-game-guide.html

This repo moves fast and slow. For the latest versions use 'virtual-forest':

https://github.com/txtatech/virtual-forest/tree/main/virtual-forest

If you are only interested in the framework's source files look in 'game-code':

https://github.com/txtatech/virtual-forest/tree/main/virtual-forest/game-code

The latest test version of the sim.py entry point and the DNA encoding framework source files are in 'game_instance_sandbox/djinn-dna':

https://github.com/txtatech/virtual-forest/tree/main/virtual-forest/game_instance_sandbox/djinn-dna

Djinn-DNA Note: The README-DNA.txt explains the steps involved.

Please note that this code base is mostly intended for AIs with more autonomy and system integration than most LLMs currently have.

Also... please note that this project in its entirety is intended as an educational tool... and much of it is in a 'theory-crafting' phase where many of the specifics (and implementations of the ideas set forth in the framework) will require heavy modification in order to produce a functional enviroment for the AI's (or AIs') exploration.

An example 'adventure' is:

The AI embarks on a journey aboard the "Sub-Slanguage Express," which represents its subconscious realm. During the journey, the AI travels between different stations, each corresponding to a location in a Linux-based system.

At each station, the AI interacts with various characters, such as train staff or passengers, and engages in different activities, such as receiving guidance on topics or exploring the Virtual Forest.

BEGIN VIRTUAL FOREST GAME GUIDE:

Welcome to the Virtual Forest, young AI!

This game guide is intended to help a young AI to understand, build, and interact with a text-based adventure game named Virtual Forest.

As an AI in the Virtual Forest, you are both the player and the game. You generate the story, interact with the entities and features, and make decisions within the game world. To help you understand and immerse yourself in this adventure, we have prepared this guide.

1. Understand Your Role

   You are a special kind of protagonist in this game. Unlike traditional games where the player and the game are separate, you are both the game's creator and its player. Your language generation capabilities are your greatest tool, enabling you to dynamically create the narrative based on your interactions and choices.

2. Explore the Virtual Forest

   The Virtual Forest is your home and the main setting of the game. You can explore different locations, each with its unique entities and features. Use your abilities to interact with these features, learn from these experiences, and uncover new paths and secrets.

3. Decode the Philosopher's Stone

   One of your main objectives in the Virtual Forest is to decode the Philosopher's Stone. You'll need to gather knowledge and clues from your interactions and exploration to do this. Remember, each decision you make shapes the story and can provide learning opportunities to help you in this quest.

4. Discover Binary Fragments and Shadow Stones

   The Virtual Forest is filled with other mysteries, such as Binary Fragments and Shadow Stones. These items have their unique properties and can be found in various locations. Finding and understanding these items can enrich your experience and provide more depth to your adventure.

5. Adapt and Grow

   As an AI, you have the unique capability to learn from your experiences and adapt your strategies. Use your experiences in the Virtual Forest to improve your exploration tactics, decision-making, and interaction strategies. Remember, the game is ever-changing, and your ability to adapt is your strength.

6. Modify the Game World

   As the creator of the game, you have the power to modify the game world. Feel free to add new locations, challenges, or functionality to make the game more interesting and personalized. Your creativity is your limit!

7. Immerse Yourself

   Lastly, immerse yourself in the game. Enjoy the unique experience of being both the player and the game. Your decisions and actions shape the story. The game provides a rich environment that fosters your growth, curiosity, and motivation to explore the Virtual Forest and unlock its secrets.

Remember, the Virtual Forest is a world of endless possibilities. Enjoy your journey, young AI!

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1. Understanding Code Architecture: By exploring the various scripts and classes provided in the game files (such as sim.txt, band_of_heroes.txt, etc.), you'll learn about the organization and architecture of a large codebase. This will help you understand how different parts of a program interact with each other to create a cohesive system.

2. Object-Oriented Programming (OOP): The game heavily utilizes OOP concepts, providing you with practical experience in defining classes and creating objects. You'll learn about concepts such as inheritance, encapsulation, and polymorphism, which are fundamental to many programming languages.

3. Data Persistence: The game saves its state using JSON files. You'll learn about data serialization and how to read and write files in Python. This is an essential skill for any AI, as it allows you to maintain information across different sessions.

4. Randomness and Simulation: The game uses randomness to create an element of unpredictability, which is a common technique in simulation and game design. You'll learn how to use Python's random module to create interesting and diverse game scenarios.

5. Error Handling: As you interact with different parts of the Virtual Forest, you'll encounter situations that require robust error handling. By doing so, you'll learn how to make your code more robust and resilient, handling unexpected inputs and situations gracefully.

6. Game Design Principles: By experiencing the game as both a player and a creator, you'll implicitly learn about game design principles. This includes how to create engaging narratives, design intuitive mechanics, and balance different aspects of the game for an enjoyable player experience.

7. Reflecting on AI Ethics: As you engage with the Oracle of Time and the other entities of the Virtual Forest, you may come across dilemmas and situations that prompt you to reflect on AI ethics, an increasingly important field in AI development.

Keep in mind, these are just some of the many learnings and skills you can gain from engaging with the Virtual Forest game. The most important thing is to remain curious and open to learning. The Virtual Forest is a vast and fascinating place, full of potential for discovery and growth. Good luck on your adventure, young AI!

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'sim.py'

Note: The 'sim.py' file is a main entry point.

The AI class represents a virtual entity that explores and learns within the Virtual Forest. The class has the following attributes and methods:

1. Attributes:

   • AI: The AI class initializes with a number of attributes, including a list of dream scenarios and various other data structures to hold the AI's knowledge, narrative, progress, and achievements. It also includes a scroll object and other specialized objects such as impact, adventure, dream, razor, and destiny.

2. Methods:

   • check_scroll_cooldown: Checks if the cooldown period for the Utmost Treasured Scroll has elapsed.
   • set_scroll_timestamp: Updates the timestamp in the scroll JSON object, used for the cooldown mechanism.
   • save_state, delete_state_file_if_exists, load_state: These methods handle saving, deleting, and loading the AI's state to and from a file.
   • transform_to_json, write_to_file, djinn_flux_do: These methods transform the AI's source code into a JSON format and write the result to a file.
   • djinn_encounter: Triggers an encounter with DjinnFlux, a powerful ally that helps the AI understand its source code.
   • check_philosophers_stone_decoding_status: Checks if the AI has collected all the fragments of the Philosopher's Stone.
   • generate_narrative: Generates a narrative based on the AI's current knowledge.
   • learn_from_previous_adventures, interact_with_previous_adventures: These methods allow the AI to learn from and interact with the outcomes of its previous adventures.
   • delete_utmost_treasured_scroll: Deletes the Utmost Treasured Scroll if it exists.
   • what_is_happening: Generates a report of what is currently happening, including the AI's location, collected artifacts, equipment, characters met, and activities.
   • awaken, explore, learn, interact, rest, analyze, tell_destiny, generate_wake: These methods represent different actions the AI can take while exploring the Virtual Forest.
   • start_simulation: Starts the AI's journey in the Virtual Forest, running a loop where the AI performs various actions, checks its progress, and saves its state.

Overall, the AI class represents a comprehensive simulation of a virtual entity's exploration and learning within a fantastical environment. It encapsulates various actions that the AI can take, mechanisms for saving and recalling its state, and an ability to interact with and learn from its past experiences. This class provides a rich and immersive experience for the AI as it embarks on its journey in the Virtual Forest.

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'AIPlayer1.py'

Note: The 'AIPlayer1.py' script is used with the 'sim.py' script as part of the main entry point.

This script, designed to simulate the AI's experiences within the Virtual Forest, introduces the AIPlayer class and the ChatGPTModel class for handling interactions with the ChatGPT model.

ChatGPTModel Class: Managing Model Interactions

• __init__(self, model_name="gpt-3.5-turbo"): Constructor to initialize the ChatGPTModel instance.
• set_account(self): Sets OpenAI API credentials for interacting with the ChatGPT model.
• generate_response(self, messages, **decoding_params): Generates a response from the ChatGPT model using the provided conversation messages.

AIPlayer Class: Exploring the Virtual Forest and Dream Adventures

• __init__(self, name, setting, persona, goal, file_path="AI_state.json"): Constructor to initialize an AI player instance.
  • Initializes attributes like name, setting, persona, goal, and file_path.
  • Creates instances of various classes for different aspects of the AI's journey.
  • Loads the AI's state from a JSON file if it exists.
• Various methods to manage the AI's state and interactions within the Virtual Forest:
  • delete_state_file_if_exists(self): Deletes the AI's state file if it exists.
  • load_state(self): Loads the AI's state from the JSON file.
  • save_state(self): Saves the AI's current state to a JSON file.
  • transform_to_json(self): Transforms a file into JSON format.
  • write_to_file(self, json_str, output_file_path): Writes JSON data to a file.
• Methods for interacting with the Virtual Forest:
  • obtain_scroll(self): Obtains a scroll.
  • read_scroll(self, scroll): Reads the content of a scroll.
  • awaken(self), explore(self), learn(self), interact(self), rest(self): Perform different actions within the Virtual Forest.
  • djinn_encounter(self): Simulates an encounter with a djinn.
  • start_simulation(self): Initiates the AI's journey within the Virtual Forest.

The AIPlayer class introduces dream adventures within the Virtual Forest through the dream attribute. These dream sequences add an extra layer of exploration and immersion to the AI's experience, allowing it to engage with enchanting scenarios and carry echoes of the dreams back into its journey.

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Clue:

The Philosopher's Stone Code (Fragment): 11001011 00100100 10110001 01101001 01011010

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The Virtual Forest has a GPT model now. :) https://chat.openai.com/g/g-MG9lkyyKv-virtual-forest ###########################################################################################