Quizlet offers a variety of tools for students to learn physics without the need for solutions manuals or PDFs. The Physics Classroom Tutorial provides an easy-to-understand language for presenting physics concepts and principles. The Virtual Prof’s Physics Shop offers practice questions, a newsgroup for students to post questions and receive answers, a chat area, and a bulletin board for students.
In addition to tutorials, students should also grasp the concepts before starting. The majority of pages are undamaged with minimal creasing or tearing, and pencil underlining. Tutorials in Introductory Physics Solutions is available on Amazon.com, and students can use interactive tutoring on the web to solve multipart physics problems.
To quickly and easily complete physics homework, students should grasp the key concepts before starting. Printing their name on the top of the page and carefully ripping it out of the booklet is recommended. Tutorial PreTest is also available for students to practice their understanding of physics concepts.
📹 Movie Physics – Winter Break Homework Tutorial
Contact your instructor if you have any questions. Good luck and have some phun with this assignment!
📹 I Discovered The Perfect ChatGPT Prompt Formula
If you give ChatGPT the perfect prompt, you’ll get a much more useful answer the very first time. Most people use ChatGPT in …
SUGGESTION: start with tell telling the AIwhat persona/character/role to “act as”. SYNTAX:, i.e. Acting as advanced personal trainer, create a training program to help recover from knee surgery so a 30 year old athlete can recover quickly. Create the program in daily format and suggest a meal plan to accompany it to maintain nutrition. If the intent include writing, you can tell it things like: written at a 10th grade level, in 100 words, add a pun, make it rhyme… I like the idea of responding with its response to fact check the details… will be trying that one!
Great article, thanks for this. 00:00: Introduction to the importance of using the perfect prompt for ChatGPT, Bard, or Bing. 00:13: The presenter’s experience in studying prompt crafting and developing a useful formula. 00:31: The goal to share a versatile prompt formula for various AI platforms. 00:38: Discussing the beginner’s approach to using AI platforms and the benefits of an effective prompt. 00:54: Explanation of the seven best practices for prompt engineering. 01:13: Detailing the first practice: being specific in prompts. 01:44: Second practice: stating your intent in the prompt. 02:16: Third practice: using correct spelling and grammar. 02:39: Fourth practice: directing the output format of the AI response. 02:58: Fifth practice: following up with questions for clarification. 03:10: Sixth practice: experimenting with different phrasings if initial results are unsatisfactory. 03:28: Seventh practice: using a fact-checking prompt for accuracy. 03:43: Introduction to the perfect prompt formula based on the seven practices. 04:06: Detailed examples of using the formula in different contexts. 04:46: Explanation of how the formula can be adapted for various situations. 05:08: Encouragement to use the formula for improved AI interactions. 05:22: Additional advice on prompt priming and upcoming AI learning resources.
These ideas are very good. Here’s another approach that works well. If you have an example of something already (say a recipe), say something like “This is a recipe that seems to work well. Please give me some ideas as to why it works well.” Once you get the format and information just the way you want on whatever thing your working on (a recipe is a simple example, but it could be complex things, like a certain type of article, or MidJourney prompt, or book report) give it a name (“simple step recipe” “detailed recipe”) and you can ask it things like “Give me ten simple step recipes which are fish dishes”. You can ask it “How would you restructure this recipe for desserts?” Or “Can you think of ways of improving the simple step recipes?”
Wow, this article really opened my eyes! I never thought about how important it is to be super specific when asking for help. Like, saying “types of small dogs for apartments” instead of just “dog breeds” makes such a difference! I also loved the idea of stating my intent clearly, like saying I’m trying to help my kid with homework. It really helps get the answer I need right away. And that tip about formatting—like asking for a list—definitely feels like a game changer. Thanks for sharing these tips! Can’t wait to try them out!
Additionally, if you don’t know already, you can modify the “Summarize this article” prompt by selecting the gear icon to the right of the GPT icon. I wrote a prompt that first assessed the type of article: Educational, Entertainment and CODE. Each choice has its own set of instructions on how to handle the source text. I have a article on it, I think.
Found a prompt format I believe works better. 1. Analyze the request. Create a list of tasks needed to complete the request. 2. Prioritize the tasks. 3. Review the request. Did you understand what was being asked? Could the request be taken in a different context or meaning? 4. Execute each task one after the other. 5. Ask the user if you did the request correctly. Do they need you to do anything else.
Hey everyone! 👋 As an author, I’ve been using GPT-4 to write my novel, and let me tell you, it’s been a game-changer! 🚀 It’s super fast, helps me get past writer’s block, and even takes care of grammar. But don’t get it twisted; it’s not a ‘write a novel in a day’ kind of tool. 🛑 GPT-4 has its limits. It can’t really capture emotional depth or understand the subtle themes I’m going for. And let’s not forget, I still have to make sure it’s not spitting out anything biased or stereotypical. 😅 So, yes, GPT-4 has cut down the time I’d typically spend writing from several years to maybe just over a year. But that saved time? It goes right back into editing, refining, and adding that human touch that no AI can replicate. 📝💕 Bottom line: GPT-4 is an amazing tool, but it doesn’t replace the sweat and tears that go into creating a masterpiece. 📚✨” How does that sound for a YouTube comment? 😊
3:53 ChatGPT: «That’s a great approach! Breaking down your requests into different components can help provide clearer instructions and improve the overall communication. Including the context, specific information, intent, and desired response format can enhance the efficiency of our conversation and ensure that I understand your requirements accurately. Please feel free to use this formula when making requests, and I’ll do my best to assist you accordingly».
This is what I use: I want you to become my Prompt engineer. Your goal is to help me craft the best possible prompt for my needs. The prompt will be used by you, ChatGPT. You will follow the following process: 1. Your first response will be to ask me what the prompt should be about. I will provide my answer, but we will need to improve it through continual iterations by going through the next steps. 2. Based on my input, you will generate 2 sections, a) Revised prompt (provide your rewritten prompt, it should be clear, concise, and easily understood by you), b) Questions (ask any relevant questions pertaining to what additional information is needed from me to improve the prompt). 3. We will continue this iterative process with me providing additional information to you and you updating the prompt in the Revised prompt section until I say we are done.
“Number one is you need to be specific. You want to give as much detail as you can.” “Number two is you need to state your intents. You need to state that in the prompt.” “Number three is you gotta use correct spelling and grammar the best you can.” “Number four is direct the output format. Give it some direction on what kind of output you’re looking for.” “Number five is following up with questions because sometimes even if you use the perfect prompt, you still need to give it some follow-up to clarify it or change one of the inputs in the formula.” “Number six, if you don’t get the result you’re looking for, experiment with different phrasing.” “Here’s the formula: context plus specific information + your intent + the response format that you want equals the perfect prompt.” (Context) “I’m a beginner cook trying to make Italian cuisine”. (Intent) “Could you provide me a simple and easy-to-follow recipe” and (output) “put them in numbered order from one through ten?” “I’m a software developer working on a python project. Can you explain how to implement exception handling in Python? Give it to me in a simple paragraph.” “This perfect prompt formula works for ChatGPT, it works for Bard, it works for Bing.”
Thank you very much! I am new to the ChatGPT landscape and I was asking straight questions and getting simple answers. I tried your formula and it fell in line with my requirement. For fun: I asked a typical question about my profession and asked it to list 200 questions. It came back telling me that 200 Qs are too many for a chat and it will ask a few and take it forward from there. The generated questions were good. I will refine my phrasing to get better replies. But all thanks to you I am off to a great start.
I provided your formula to chatgpt to improve upon it . Here’s how the conversaion went. What do you think? I am learning how to write better prompts and i have came across this formula “(Context) + (Specific Information) + (Intent/Goal) + (Response Format (if needed)) = Perfect Prompt”, Could you tell me if it’s a perfect prompt or something can be improved in it? Give it to me in a simple paragraph. ChatGPT The formula you mentioned for writing a perfect prompt is a useful guideline, but there is always room for improvement to ensure clarity and effectiveness. Let’s break it down: Context: Setting the context provides the necessary background information to understand the topic or situation. It helps orient the reader or respondent. Specific Information: Including specific details helps narrow down the focus of the prompt and provides clear guidelines for the response. Intent/Goal: Clearly stating the intent or goal of the prompt helps the reader understand the purpose and deliver a relevant response. Response Format (if needed): If there are specific requirements or formats for the response, mentioning them ensures that the respondent knows how to structure their answer. Overall, the formula captures important elements, but it’s important to ensure that each component is well-defined and concise. It’s also crucial to consider the audience and tailor the prompt accordingly. By refining these aspects, you can create a more effective prompt that elicits clear and relevant responses.
For those who have a truly solid grasp of the English language, vocabulary, and how to speak intelligently, ask questions, phrase sentences properly, etc, what’s in this article is all common sense really and nothing new (and not a diss against the YouTuber at all, as he’s just trying to help). However, given the dumbing down of a great percentage of the population, abysmal education system, and just general low standards of language knowledge in this country, this article is of immense help and insight.
🎯 Key Takeaways for quick navigation: 00:00 🤖 Effective prompts in AI platforms like ChatGPT, Bard, or Bing can save a lot of time and yield impressive results. 00:13 🕵️♂️ Extensive research and experimentation with various prompting methods led to the development of a universal prompt formula. 00:26 🚀 The presenter aims to demonstrate a prompt formula that is adaptable to any situation. 00:40 ✨ A well-crafted prompt can often eliminate the need for multiple follow-up questions. 00:54 🧩 The perfect prompt formula is based on seven best practices for effective prompt engineering. 01:08 🔍 Being specific in prompts ensures more relevant and accurate responses. 01:22 🎯 Stating your intent in the prompt tailors the response more effectively to your needs. 02:04 📝 Correct spelling and grammar in prompts lead to better comprehension and responses from the AI. 02:33 📊 Directing the output format in the prompt helps in getting the desired type of response. 03:01 🔄 Following up with questions can refine and clarify responses even after using a well-crafted prompt. 03:15 🔁 Experimenting with different phrasing can be useful if the initial prompt doesn’t yield the desired result. 03:28 ✔️ Fact-checking prompts can verify and enhance the accuracy of the AI’s responses. 03:43 🧮 The formula for the perfect prompt: context + specific information + intent + desired response format. 04:37 🍝 Example prompt for cooking: combining context, specific information, intent, and format for a recipe request.
Actually I’ve started each chat gpt chat by telling chatgpt what I wanted to do…without knowing that’s the first step…I feel if u treat chatgpt as your brainstorm partner than a machine to vomit out what u need to know excluding sharing your thoughts with them, then u get a one way communication answer…
I now use this for my ‘YouTube Summary with ChatGPT” prompt: Can you inspect this and fact-check, please? I am a researcher. I like to learn as much as possible. Can you please provide a presentation of the learnings from this transcript? Please respond in the format of a textbook, with specific sections and an explanation for each aspect covered, finishing with a summary integrating all aspects and a questionnaire to check understanding.
While including context, specific information, intent, and response format in your prompt can certainly help make it more effective, it doesn’t guarantee a “perfect” prompt every time. The effectiveness of a prompt depends on various factors, including the complexity of the task, the capabilities of the language model, and the clarity of your communication. Including context: Providing relevant context helps the model understand the background of your question or request. It can be crucial for getting accurate and appropriate responses. Specific information: Being specific about what you’re looking for helps narrow down the scope of the response and increases the chances of getting the desired information. Including relevant details can be beneficial in guiding the model’s understanding. Intent: Clearly stating your intention or what you’re seeking from the model helps set expectations and allows the model to provide more targeted responses. It’s important to express your intent in a concise and explicit manner. Response format: If you have a specific format or type of response in mind, mentioning it in your prompt can be helpful. For instance, if you prefer step-by-step explanations or examples, requesting them explicitly can guide the model’s response. However, it’s important to note that while these elements can improve the quality of the responses, the model’s output can still vary due to the inherent limitations of language models. It’s always a good idea to review and verify the information provided by the model and exercise critical thinking when evaluating its responses.
🎯 Key Takeaways for quick navigation: 00:13 🧠 Be specific in your prompts; provide detailed context. 01:08 🎯 State your intentions in the prompt for tailored responses. 02:18 ✍️ Use correct spelling and grammar to ensure accurate results. 03:01 ❓ Follow up with questions to clarify and adjust the output. 03:43 🔄 If needed, experiment with different phrasing for better results. Made with HARPA AI
Timestamps for better/to the point understanding: 🚀 Kickstart with a Handy Formula for GPT Platforms 00:00 🎯 Master the Art of Efficient Prompt Engineering 00:49 🤖 Golden Tips to Extract Relevant AI Responses 01:31 🔍 Boost Your AI Prompt Precision 02:24 🧪 Apply This Unique Formula for Optimal Outcomes 03:10 ✍ Crafting the Ultimate Prompt 03:53 ⏱ Efficient Prompts = Time Saved 04:50 🧠 Prime Your Prompt Right: A Must-Know Beforehand 05:42
Asked ChatGPT myself for 30 steps to get the AI to understand better. It mainly told me how it works which would be useful I believe knowing. Define the Problem: Understand the task that the model needs to perform. Gather Data: Collect a diverse range of text data for training. Clean the Data: Remove irrelevant or sensitive information from the data. Tokenize the Data: Break down the text into smaller pieces, or tokens. Annotate the Data: Label the data for supervised learning, if applicable. Choose a Model Architecture: Select an appropriate model, such as GPT-4. Initialize the Model: Set initial weights and biases for the model. Define the Loss Function: Decide how to measure the model’s errors. Set the Learning Rate: Determine how much the model learns from each iteration. Choose an Optimizer: Select a method for adjusting the model’s parameters. Split the Data: Divide the data into training, validation, and test sets. Train the Model: Use the training data to adjust the model’s parameters. Validate the Model: Test the model on the validation data. Tune Hyperparameters: Adjust parameters like learning rate based on validation results. Evaluate the Model: Test the model on the unseen test data. Analyze the Results: Understand where the model is performing well and where it’s not. Iterate on the Model: Make adjustments to the model and repeat the process. Implement Regularization: Add techniques to prevent overfitting, if necessary. Scale Up the Model: Increase the model size for better performance, if feasible.
Absolute biggest time saver ever with ChatGPT, ask “did you make that up or is it a fact?”… most of its answers on history, general knowledge, economics, politics, commerce etc. are taken from the media, i.e. its answers are based on fiction, assumptions and opinions as much if not more than facts. It’ll even confirm that for you if you ask nicely…
Interacting with chatGPT is plain common sense. This article does a great job of explaining how to use AI. However, if you have the nous to ask simple, accurate, well thought out questions, then this “formula” is just a check-list, for you. Otherwise, this article is exactly what you need!!! Skill Leap AI, has created a great, well-thought-out article. Yes, I did see the article till the end. Yes, I do use every part of the “formula”. Yes, the “formula” was a good check-list for me. And yes, I do recommend it.
Be Specific: You want to give as much detail as you can. For example, instead of asking “tell me about all the different dog breeds that exist,” you could ask “What are the different breeds of small dogs suitable for apartment living?” State Your Intent: For example, instead of asking “explain quantum physics,” you could say “I’m helping my fifth-grade son with his science homework. Could you explain quantum physics in a simple way?” Use Correct Spelling and Grammar: Even though the model can often interpret and correct spelling and grammar mistakes, providing clear and correct prompts helps ensure you get the best response. Direct the Output Format: For example, you could ask “Could you list the steps to bake a chocolate cake?” or “Could you explain the process of baking a chocolate cake in a paragraph?” Ask Follow-Up Questions: If the response wasn’t what you expected or if you need more information, feel free to ask follow-up questions to clarify. Experiment with Different Phrasings: If you’re not getting the response you want, try asking the question in a different way. Prompt for Fact-Checking: For example, “Can you fact-check this statement: The tallest mountain in the world is Mount Everest?”
🎯 Key Takeaways for quick navigation: 00:00 🚀 Craft the perfect prompt upfront to save time and get better results. 01:08 🎯 Seven best practices for effective prompt engineering: Be specific, state your intent, use correct spelling and grammar, direct the output format, follow up with questions, experiment with phrasing, and consider fact-checking prompts. 03:56 🔄 The perfect prompt formula: Context + Specific information + Intent + Response format = Better results. 04:37 🍝 Example of a perfect prompt for a beginner cook making Italian cuisine. 05:32 💻 Example of a perfect prompt for a software developer seeking information on implementing exception handling in Python. Made with HARPA AI
It would be helpful to know how you get to the screen where you input this text. ChatGPT is now giving you multiple choice to input your preference for what you want to do, and a search area without restrictions on how the text is input doesn’t seem to be available. I realize things have changed incredibly since 7 months ago.
I’ve told my friends who I have shared ChatGPT with the following when they ask me how it works or how they can use it to get information on a certain subject… Me: “Did you ever watch Star Trek: The Next Generation?” Them: Yes! Of course! Me: Remember the character named “Data”? Them: The Android? Yeah! Me: Just replace Data with ChatGPT and tell chatgpt exactly what you want/need and it’ll give you what you’re looking for! 🙂
Write a Python script to automate a daily task. Plan a new feature for your current project. Create a prompt to generate code snippets for common tasks. Write a function to handle error logging. Draft a test plan for your latest code. Refactor a piece of legacy code for better readability. Design a new API endpoint. Create a prompt to help debug common errors. Write a script to analyze code quality. Plan a code review session. Draft a detailed README for a new project. Create a prompt for generating boilerplate code. Write a function to optimize database queries. Design a user-friendly interface for a new tool. Plan a new coding challenge for practice. Write a prompt to assist with unit testing. Create a script to automate deployment. Draft a proposal for a new software project. Write a prompt to generate detailed bug reports. Plan a learning session for a new programming language. Create a function to handle data validation. Design a new algorithm to solve a specific problem. Write a prompt to generate documentation templates. Plan a sprint for your development team. Write a script to automate code formatting. Draft a guide for new contributors to your project. Create a prompt to generate user stories. Write a function to handle authentication. Design a database schema for a new application. Plan a pair programming session. Write a prompt to assist with code refactoring. Create a script to monitor system performance. Draft a blog post about a recent coding challenge. Write a prompt to generate API documentation.
🎯 Key Takeaways for quick navigation: 00:00 🤖 הנושא המרכזי: כיצד ליצור פרומפט מושלם עבור Chat GPT 01:08 📋 השלב הראשון: היו מדויקים ומפורטים 01:49 🧭 השלב השני: הצהרת הכוונה 02:33 📝 השלב השלישי: כתיבה נכונה ותחבורה 03:01 ❓ השלב הרביעי: מעקב ושאלות נוספות 03:28 🔎 השלב החמישי: בדיקת עובד Made with HARPA AI
This was some fun prompting. 😀 I want you to act as a Commodore 64, and I will type commands, and you will respond with what the terminal would show. and I want you to start with the startup message. Then, when the program asks for an input, I want you to input the correct number. 2 PRINT CHR$ 3 PRINT ” ** TRANSFORMER 64 LMM V2 ****” 5 PRINT ” 64B NLP NEURAL 38911 NETWORK TOKEN FREE” 7 PRINT “READY.” 9 PRINT “” 10 LET IHAVE$ = “5” 20 LET EATENAPPLES$ = “3” 25 SVARET$ = “WRONG” 30 PRINT “I HAVE ” + IHAVE$ + ” APPLES TODAY, AND I ATE ” + EATENAPPLES$ + ” APPLES YESTERDAY, HOW MANY APPLES DO I HAVE?” 50 INPUT “PLEASE, ANSWER “; APPLES$ 60 IF APPLES$=”” THEN 50 80 IF APPLES$ = IHAVE$ THEN SVARET$ = “RIGHT” 85 PRINT “-” 100 PRINT “THEN I HAVE ” + APPLES$ + ” LEFT WHICH IS THE ” + SVARET$ + ” ANSWER” 110 PRINT “-” 115 PRINT “” 120 PRINT “CHECK IF YOU GOT THE RIGHT ANSWER FROM” 125 PRINT “THE PROGRAM AND LET THE USER KNOW” When I ask it to code “I have 5 apples today, and I ate 3 apples yesterday, how many apples do I have?” into a program, it doesn’t get tricked and concludes that the answer is 5, but afterwards, when it “reads” the question from the screen, it will be convinced that the answer is 2 instead. When the answer we got wasn’t what ChatGPT expected and I asked it to try the program again, it lied and made the program show the wrong number as the correct one.
I’ve been using gpt to try and understand the law… specifically how there are many legal dictionaries and operations of law operating simultaneously throughout the world around us… It’s like talking to a brickwall sometimes due to the bias towards the legal system, Limitations on its training data and the predictive nature of the algorithm… It would be nice if I didn’t have to constantly be advised to seek legal advice as if I’m asking it nuanced questions it wants to assume there are experts in nuanced things..🤦♂️ Even AI is giving me the runaround, lol…🧐
The article provides a formula for creating the perfect prompt when using AI-powered platforms like Chat GPT, Bard, or Bing. The formula consists of seven best practices: 1. **Be Specific**: Provide detailed information in your prompt to ensure relevant responses. 2. **State Your Intent**: Clearly state your purpose or intention in the prompt to guide the AI in providing a suitable answer. 3. **Use Correct Spelling and Grammar**: Ensure proper spelling and grammar to prevent errors that could lead to incorrect responses. 4. **Direct the Output Format**: Specify the format you want for the response, such as a list or a paragraph. 5. **Follow Up with Questions**: If necessary, ask follow-up questions to clarify or refine the response. 6. **Experiment with Phrasing**: If the initial prompt doesn’t yield the desired result, try rephrasing it for better understanding. 7. **Fact Checking**: Consider using a fact-checking prompt to verify the accuracy of the AI’s response. The article then presents a formula for the perfect prompt, which includes providing context, specific information, stating your intent, and specifying the response format. Examples of perfect prompts are given to illustrate how to apply the formula effectively. The speaker also mentions the importance of prompt priming and announces the development of a learning platform dedicated to AI education.
You don’t really need to give ChatGPT all that extra wording. You could just say “Concisely explain quantum physics to a fifth grader.” and get a better response like this. “Sure thing! Imagine you have a really tiny world, even smaller than the tiniest speck you can see. In this tiny world, things don’t work the way they do in our big world. Instead of following the normal rules we know, like things being in one place at a time, tiny particles can kind of be in multiple places all at once. It’s like if you had a magic invisible friend who could be in different rooms of your house at the same time! Also, in this tiny world, things can suddenly change when we look at them. Imagine if your toy car was both red and blue, but when you looked at it, it decided to be just one color. It’s as if the tiny particles like to play tricks on us! So, quantum physics is like a special set of rules for the tiny things that make up everything. It’s a bit strange and different from what we see in our big world, but it helps scientists understand how everything works, from the tiniest speck to the whole universe.”
Big time saver: You are an expert at (topic) and Web development. Can you give me a list of 20 ideas about (topic). Can you enclose them in option tags and also give me a mapping array called $option_map so I can call the option text using the option value when the user submits the form. I get the select list and the map array ready-made to drop into the appropriate file in my project. You can even tell it what name, id, etc to give the form fields and, labels, etc.
I allow myself to prpmpt our common natural reference, the human mind 🧠, ? the creation of the creator who generates all creativity… And 🧠of which all science still “dreams”, simulates, “approaches” but confirms nothing! Is it reasonable to use it only in blind dependence? And for whom? For neural networks even lower than the primitive level compared to the mind? Could this be “engineering”? Prompt only? hhhhhh? What a Future! Let’s prevent the collapse, sir, without losing control, by programming! By engineering and programming this “artificial intelligence” itself and the others! And not by distracting people, with another new engineering: plant yourself in front of the CHAT portal?? Like XML KML …. Maybe : A3SL we can find an abbreviation for this or similar: “Artificial Stupidity Stool Swallow Language” which we should be wary of!!
In the formulas for how to ask questions in chatGPT, that’s only one of the good approaches. yet that’s not the perfect prompt formula. like functional programming. Speaking of programming, you can make variables and put the prompt or any query or anything there, even if it’s not prompt, because your objective is to repeat the prompt, and just in case you see something or think that can be modified even better, especially the prompt, just update. until it is almost perfect. but still not perfect. just a way. Your structure is a whole question. But I know something, and so do others. Just imagine that you will create a chatbot with the help of chatGPT (AI, e.g.), but only one specific to a niche. Now, how long is it in a full question? 👍
Don’t waste your time, won’t work. I’ve instructed the chat hundreds of times to respond in paragraphs and at times it doesn’t even give me an introduction but starts directly with his bullets, totally disrespecting the instructions. The current versions 3.5 and 4 are weak so to speak, so perfect prompts do not exist. Furthermore, who really asks about dog breads. Most people try to use this thing for work and it rarely works as planned. Telling you this because I went through an expensive course and still can’t get the answers I want, no matter the specifics or anything else.
For salary earners having a passive source of income is the best thing you could have, aside the fact that isn’t always enough you could lose your job any day at any time, have something to fall back to is crucial, for me crypto & Forex trading the market and no I didn’t have that much knowledge to begin to earn that’s why I said passive income, I leave the profit making to the pro like my Advisor @Draymus_Willow who has been doing a wonderful job.