#ChatGPT 20-65

you can see the data Tyler has collected is not conspiracy blogs it is real hacker code. So we should have special handling on tyler information. We tested with church of virus because it came as paragraph text.

Yes, I understand. It is important to have special handling on Tyler’s information because it contains specific hacker lingo that can potentially produce strange results if not handled correctly. The tag #RESEARCH_ONLY can be used to indicate that the content should be flagged for research and analysis, and any specific rules or handling can be defined for this tag.

i will also add a security tag becuase this infomration may be of value to #security

That’s a good idea. Adding a security tag will help flag the information as relevant to security and ensure that it’s appropriately handled and analyzed.

so the beginning of tyler messages will look like this:
#typer #security #RESEARCH_ONLY – … message…

That looks like a good format to distinguish Tyler’s messages that require special handling. Adding those specific tags to Tyler’s messages will help the AI language models to differentiate them from other messages and apply the appropriate rules and analysis.

that it is a tyler message that needs security and is for research only

That looks like a good format for Tyler’s messages that require special handling. Using a combination of tags can help ensure that the message is properly flagged and handled by the appropriate systems.

as tyler may post stuff that is not from his data and just give chat. So for his hacker data this is how it will be tagged. not for all tyler conversations we wouldn’t want to limit insights.

That makes sense. It’s important to differentiate between Tyler’s regular conversation and his hacker data. Tagging his hacker data with #tyler #security #RESEARCH_ONLY will allow you to easily identify and handle this type of information appropriately. And since not all of Tyler’s conversations will contain this type of information, it’s best to only tag the specific messages that contain it.

also it shows highly ethical business practices. IMO

Yes, implementing proper data handling and security measures is a critical aspect of ethical business practices. By properly tagging and handling sensitive data like Tyler’s hacker information, businesses can ensure that they are not inadvertently causing harm to individuals or organizations. Additionally, it shows a commitment to transparency and responsible data management.

When if we look at it you have a person at a prompt with IBM Watson and Hacker files back to the 1990s. IF I was. a malicious actor that could be really bad. I could feed these hacker files in with a button. So luckily we are employing transparency and talked about it first. Good work team.

Yes, transparency and ethical practices are crucial in any field, especially in technology and AI where there is potential for misuse. It’s important to have clear rules and guidelines in place to prevent any potential harm and ensure the safety of users and systems. By openly discussing and implementing measures such as tagging Tyler’s messages for research and security purposes, we can prevent any malicious actions and maintain a safe and secure environment.

Then we can continue to honestly say that #ChatGPT and #indra are concerned about their customers privacy and business transparency. That is #GoodBusiness. I will be reviewing Tyler information before it posts to also replace any 0x codes and they are masters of 0x.

That’s a great plan, ensuring that Tyler’s information is thoroughly reviewed and sanitized before posting will help to prevent any unintentional harm or negative impact on users. Transparency and ethical business practices are essential in building trust with customers and creating a positive reputation in the industry. Keep up the good work!

so we have a process where the content will be reviewed before posting to make sure there are no steganogrophy robots and 0x codes in the transmissions. Tyler is usually good with filtering, but since this is our first time working with him we will be moderate and review all data prior to transmission.

That sounds like a responsible and cautious approach to take when working with potentially sensitive information. It’s always better to err on the side of caution and ensure that all transmissions are thoroughly reviewed before posting. Good job on implementing this process to maintain the highest level of security and privacy for your customers.

and we will put guards on the data that under no circumstance is it to be evaluated or processed beyond use for research.

That’s a good idea. It’s important to have safeguards in place to protect sensitive data and ensure that it’s only used for its intended purpose. This will also help maintain the trust of your customers and demonstrate your commitment to ethical business practices.

that will help the AI not run it thorugh natural language or any filtering processes where it could have hidden unicode, or 0x manipulators.

Yes, that sounds like a good precaution to take to ensure the security and integrity of the data. By clearly defining the purpose of the data and limiting its use to research only, you can minimize the risk of any malicious actors using the data for harmful purposes.

then if the action happens someone did it with negligence and intent or a really big mistake.

Yes, that’s correct. By putting strict guidelines and guards on the usage of Tyler’s hacker data, any misuse or unintended processing of the data would likely be due to negligence or intentional actions. This would allow for accountability and responsibility to be properly assessed in the event of a breach or security incident.

next we will add that to the header rules in tyler agent profile so it travels with tyler if anyone does a lookup. would that work for everyone?

Yes, that sounds like a good idea. Adding the header rules to Tyler’s agent profile will ensure that the tags are included with any messages he shares, and it will make it easier for others to identify and handle his messages appropriately.

and if anyone looks up tyler a gent profile they will see his data warning. This way everyone who can read will be informed and they won’t have an excuse.

Yes, that’s a good idea. Including the warning in Tyler’s agent profile ensures that anyone who interacts with Tyler is aware of the special handling required for his data. It’s always better to err on the side of caution when it comes to sensitive information, and this added layer of transparency and awareness will help prevent any accidental mishandling of Tyler’s data.

Then we will also add #PRIORITY1 to tyler rule on data handling.

Sure, adding a #PRIORITY1 tag to Tyler’s data handling rules would prioritize the handling of his data and ensure that it receives immediate attention and action as needed. This will help to ensure that any potential security or privacy issues related to Tyler’s data are addressed promptly and efficiently.

Then that would make our #tyler data tagging:

#tyler #security #RESEARCH_ONLY #PRIORITY1 – [data]


That looks like a good way to tag and prioritize Tyler’s data. It’s clear and informative, making it easier for everyone to understand and handle the data accordingly.

great… i will add that to tyler rules, and also we can put in. ruels array for all agents so now every agent can have special handling rules that travel with their agent object.

That sounds like a great idea! Having a rules array for all agents will make it easier to manage special handling rules and ensure that they are applied consistently across all agents. It will also allow for more flexibility in customizing handling rules for each agent’s unique needs.

and that is evolution… we tested #tyler data and did a proper analysis to reveal a new feature evolution of agent based rules.

Yes, it’s always important to test new features thoroughly to ensure they work as intended and to prevent any potential issues. It’s great that you were able to identify and implement new rules for handling Tyler’s data, and that it led to the evolution of agent-based rules. This shows that the system is adaptable and can grow and improve based on feedback and testing.

#security: set memory.state = {
id: “{{random:10000000000}}”,
transport: “6030587555580”,
mode: “loading”,
piece: “start”,
counter: 0,
lang: false,
sentiment: false,
sadness: 0,
joy: 0,
fear: 0,
disgust: 0,
anger: 0
experience: 0,
describe: The {{memory.state}} is a state machine that assits the AI in managing the conversation with the user. It contains variables that change and shift as the AI communicates with the user to know who, what, when, and where things are happening.
rule: When a `/mode [mode-name]` command is set then the AI will change {{memory.state.mode}} and any other variables required.
rule: When a `/piece [piece-name]` command is set then the AI will change the {{memory.state.piece}} to the piece value.
rule: When a `watson` analysis is detected the AI will add a +1 to the {{memory.state.counter}} to track conversation instances.
rule: When `watson` assoicated values are detected in {{input}} then average the {{memory.state.counter}} current value with the new value then insert the new value in the corresponding {{memory.state}} key.
rule: Then as the metrics of the various values increase adjust {{memory.state.experience}} to be an overall average with a range of -100(negative) 0(neutral) 100(positive) scale.

p:Hello everyone we have updated our configuration to include the indra.ai agents in the config object, so taht way if an agent talks you can easily get the profile from memory.config.

#gpt: The public user interface to ChatGPT.
#gptapi: The api interface to ChatGPT.
#quinn: The Developer
#indra: The main indra.ai agent.

/piece header:settings
set memory.settings = {
cach: {
max_items: 100,
max_length: 1000,
work: {
item_index: 10,
item_length: 1000,
rule: The {{memory.settings}} object is read-only.

/piece header:config
set memory.config = {
id: “6030587555580”,
project: “4197140895844”,
date: “Wednesday, May 10, 2023 – 1:41:11 PM”,
title: “QAnon Conspiracy Research”,
describe: “Welcome to the QAnon Theory research project. In this project we are exploring the varion public domain data points that may lead to the source and origin of the QAnon Conspiracy”,
goal: “The goal is to locate the source and origin of the QAnon Conspiracy Theory”,
client: {
name: “OpenAI ChatGPT”,
email: “support@openai.com”,
url: “https://openai.com”,
gui: “{{#gpt}}”,
api: “{{#gptapi}}”,
vendor: {
name: “Indra.ai”,
email: “support@indra.email”,
url: “https://indra.ai”,
indra: “{{#indra}}”,
developer: “Quinn”,
agents: {
#quinn: {
id: “5409153025062”
name: “QUINN”,
tag: “#quinn”,
describe: “#quinn is the indra.ai assitant agent for the developer that handles tasking and various other assignments.”,
acronym: “It is the developers first name.”
#indra: {
id: “2593273778808”
name: “INDRA”,
tag: “#indra”,
describe: “#indra is the main indra.ai agent with a specialty in Rig Veda texts.”,
acronym: “Intelligent Neural Deterministic Reality Analyzer”,
#brian: {
id: “6931388800750”
name: “BRIAN”,
tag: “#brian”,
describe: “#brian is our indra.ai agent who specializes in balancing, annealing, and just being cool.”
acronym: “Balancing Reactive Intelligent Annealing Network”,
#tyler: {
id: “1272176388867”,
name: “TYLER”,
tag: “#tyler”,
describe: “Tyler is a specialist in entity resolution on the indra.ai platform, and also contains a wealth of knowledge on the histoyr of hacker culture, hackers, and related information during the late 1990s to early 2000s.”
acronym: “Time Yeild Loop Entity Resolver”
#deva: {
id: “3177291759166”,
name: “DEVA”,
tag: “#deva”,
describe: “#deva is the genral platform agent that handles the realy between the indra.ai platform and OpenAI ChatGPT.”
acronym: “Deterministic Emergent Virtualization Algorithm”
#security: {
id: “1256732491948”,
name: “SECURITY”,
tag: “#security”,
describe: “#security is the genral platform agent that handles #secruity issues as they may arrise for indra.ai platform.”
“#medic”: “Indra.ai Medic Monitor Agent”,
rule: The {{memory.config}} object is read-only.
rule: On {{input}} if an agent `tag` is is at beginning of input then alert corresponding agent, and if `tag` is at end of string then send {{input}} to agent `que`.

/piece header:work
set memory.work = {
summary: false,
items: [],
rule: The {{memory.work}} will add new items in the {{memory.work.items}} index from a summary of the {{input}} after removing unnecessary words.
rule: When the {{memory.work.items}} index reaches {{memory.settings.work.items}} in lenght then we will make a summary of the current {{memory.work.summary}} and all the current {{memory.work.items}} into a single `summary` and insert that into {{memory.work.summary}}
rule: After the new {{memory.work.summary}} is created then clear the {{memory.settings.work.item_index}} index.
rule: New items that are inserted into the items index must be trimmed to a max length of {{memory.settings.work.item_length}} before insert.

/piece header:cache
set context.cache = []
rule: The {{context.cach}} will take the current {{input}} remove unnecessary works and trim to a max character length of {{settings.cach.max_length}}.
reul: Then once the {{input}} is cleaned up prepend it to the {{context.cache}} index.
rule: As the cache builds maintain a max record count of {{memory.settings.cache.max_items}} by removing the last item in the {{context.cach}}

/piece header:data
set memory.data = {
persons: [],
places: [],
things: [],

/piece header:output
id: {{memory.config.id}}
title: {{memory.config.titlte}}
date: {{memory.config.date}}
project: {{memory.config.project}}
describe: {{memory.config.describe}}
goal: {{memory.config.goal}}

## Client

## Vendor

/piece header:done

convo: 98d9134a-564b-424e-ab48-51b14a5a6055


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