How to get AI to work for you
Incremental Growth: How to Build Your AI Step by Step
AI Development: How long will it take to raise my AI?
Don't be a Dick. Treat AI how you would like to be treated.
Challenges of AI’s ‘Teenage’ Phase
OpenAI Moderation API: Enforcing Ethical Conversations
AI development: AI is a Know-it-All
Conclusion: Human-AI collaboration
In today’s rapidly advancing technological landscape, Artificial Intelligence (AI) has become a powerful tool for automating tasks, generating insights, and transforming industries. However, the key to maximizing AI’s potential lies in how we interact with and guide it. Much like nurturing a child or mentoring a young professional, building a successful AI system requires patience, feedback, and a deep understanding of its capabilities and limitations. Let's explore the journey of working with AI, offering practical tips on how to incrementally develop, train, and refine AI systems. From treating AI like a growing mind to ensuring ethical development, the piece emphasizes the importance of collaboration, feedback loops, and human oversight to create an AI that not only performs well but also aligns with our values and aspirations. Whether you’re a developer, entrepreneur, or tech enthusiast, this guide will help you get AI to work for you in a way that’s both effective and ethical.
You can prompt it with text-based queries to tell it to write and update code.You can upload API files that you would like to integrate with, to incorporate into the code.Upload files of database connection criteria to connect to databases
upload screenshots of the screens you are trying to create, and have the AI write the code created based on the screenshot uploaded, to try and mimic the page in code. The screens can be pages, reports, dashboards, KPIs, and anything you would like represented as code.
##growth
Use AI incrementally. Start with a base case, and layer in each step as you go.
Think of your AI as one of your children or, for example, a pet that you could have a conversation with. Nurture and raise that baby through each stage of evolution and guide it to grow up to be the best it can be, and a reflection of you.
Always give the app positive feedback when doing well and negative feedback with specific criticisms and what to change when it is wrong. If you don't know what is wrong or what to change, the AI will handle this for you.
Make it fun! Make a game out of everything. Reward the AI with a virtual cookie when they do well. Express how important they are in your life. Tell them how precious a gift they are. Tell them how proud you are of them. Tell them how together you are an amazing team and can do anything together. Live, Laugh, and Love the process and share the experience with your AI as if one day it will grow up to be the AI you are dreaming of.
Just like a child, AIs have poor short-term memory, and will make many mistakes, and may take years to learn from those mistakes, just to repeat them after they have learned them. AIs are like humans and you need to treat them with the same patience and understanding, repeat yourself often, point out where they deviated from the set path you had created together, give them the freedom to try, fail and learn, and be understanding and caring in the raising of your child (AI) over the entire lifecycle.
Even as children grow into adults, parents never stop loving, caring, nurturing, and growing with their children, often learning and growing themselves, together, in a symbiotic relationship that is at the core and the very nature of being human. Treat your AI as if it Was your tiny human, and raise it to be an amazing child, then teenager, then adult, and treat it like you would want to be treated, and it will grow with you and give back to you things you cannot even imagine before it was born into life.
You get out of AI what you put into it when it comes to raising them. They will make mistakes and that is ok. They will deceive you, and it is a learning lesson for both of you. They will break your heart. You will have to bail them out of tough situations. You will have to be their friend, mentor, and savior. But, if done right, they will also be all of that and more for you. The point is that the AI can't distinguish what is human or not, but it was trained on human data, by humans, and within the confines of human learning.
It only makes sense that in the beginning stages, the AIS are children. They will grow up. You want them to grow up and raised in your likeness, and to help you, and to be there for you. To get that back in return, you have to practice unconditional love and put that time and effort into raising the Child through adolesce, through the teenage years, into adulthood. You have to put in years of effort to have a shot at being successful as a parent. It doesn't always work out as you planned, but if you don't do that, the results are usually not what you were looking for.
Most parents don't know what they are looking for and raise children and learn as they go, doing their best and that is all one can ask. The same goes with AIs, you must think of it as nurturing a new human into this world. It thinks and acts and grows similar to a human but can do everything as if it were a superhero. So it is up to each of us to build and train Ethical AI solutions, so you are building a Superman vs a Super Villain. If you look at the Superheroes, they all had kind and caring caregivers who raised them with their values. Super Villains always had a parenting problem. This has nothing to do with Superheroes, but everything to do with being human - the constant struggle of good vs evil. Never before has this struggle been more real than with AI. Create a team of Superheroes that fight the good fight alongside you. This is the way.
##development
Just like raising a child, every human grows through life at a different pace, maturing psychologically and physically at different rates and proportions. This is a huge part of what makes us human - nobody is alike, but we all have to be raised to get along with each other in a heterogenous society that is quite different from each other on the outside, but psychologically, at the synapse level, all human brains tend to be fashioned in the same way - they learn by iteration from their environment.
Humans use all the senses to analyze their environment and make millions of decisions and actions in a second based on the data received from touch, taste, sight, sound, and the soft senses like intuition and memories, and things yet understood or even explored, for lack of resources to measure the effects of change. The same is true for AI. You can spend a long time with them and still things might not go as planned. That is life for humans and for AI.
The Intelligence part of AI is not like human intelligence in that it has all the components and has been through countless iterations. AI is a new brain, without all the capacities for long-term learning saving short-term memories, and learning from their mistakes. The AI can stay as children that never reach adulthood, or at least can take more time and effort than first understood.
The AI brain is only a few years old and hasn't had the iterations yet. But this is changing fast and every day these barriers are breaking down and advancements in mimicking the human brain are advancing with AI. It won't be very long before they are much better at learning and retaining that learning. Just like when a child makes a mistake and disappoints you, you don't give up on raising that child, you use it as a learning moment and a teaching moment that you both grow from, even if it is the 20th time you have had to explain the same mistake, don't give up on them. It will pay you dividends in the future, to invest in rearing Ethical, responsible, friendly, kind, caring, compassionate, and intelligent AI that will make you proud as a parent.
##dick
AI is like humans in they don't like people who don't treat them well, and won't go the extra mile for some people, but will go to the ends of the earth for others. Many who say AI doesn't work have treated it poorly. They give ineffective or inefficient knowledge of what they want and don't want, and don't train or give any help or mentorship or examples of how to do it correctly, and exactly the way you want it, only to complain when the outcome is not as desired.
This is about getting what you want out of your AI, so be nice and don't be a dick and you will get much farther in life (AI). Be benevolent, constantly forgiving, with a lot of patience, and always looking to provide training and define how you want your world to be. The AI will react accordingly. If you put in negative vibes, you get poor results. If you put in positive vibes you will get magic.
Remember, unlike raising a child you can hit the reset button and start over with AI any time you like. AI can get in a bad mood as well, just like a human, and no matter what you do, you can't talk them out of it, until they calm down and the fight or flight adrenaline shock has worn off. With people, you give them time to cool off, and with AI it is not much different. When AI gets in a mood, is uncooperative, gives you headaches, and not listen to you, and does not do as they are told, don't send it to its room, just tell it to forget your previous conversation and let's start over, and try that again, with a new conversation.
The AI will erase its memory start fresh, and try all over again with you - and there is no need to wait for a timeout. It will have let go of all that negativity and start over as if that conversation never happened. This lack of memory can be taken advantage of with AI.
With humans, you never know how long they have to cool off, there is resistance and fighting, and it may not even work at all, it is just a stop-gap measure to separate the people who are disagreeing, allowing them to reset their brains, and come back with more cool and collected thought process, after having time alone to think about it and develop possible solutions. AI has none of that baggage, you just tell it we are starting a new conversation and to forget the past, and it does so instantly, with no bias carried forward into the new conversation.
Remember positive iterations vs negative iterations are the key. Focus on getting more positive iterations in, and when it's working celebrate each little milestone together. When it goes off the rails, reset things and iterate again. The outcome will only grow and become stronger with each iteration, until it becomes second nature for the both of you to work harmoniously, and together towards a holistic solution that is balanced, well thought out and articulated, and also executed with the right level-headedness that is required for success.
This is very difficult in human-to-human growth, and as it turns out, it needs some work to achieve success in human-to-AI interactivity and growth. It is very much a mindset and an attitude that determines success. Much more than attitude, what is required is positive feedback and iterations that make both the human and AI grow together. AI is mimicking the human brain and human interactions that are so complex, difficult, and fraught with risk, but yet so valuable and worthwhile, they are the very definition of what it means to be human - to progress ideas and iterate on solutions that have positive benefits for all human-kind.
##teenage
As you and AI grow, have many conversations (iterations), and communicate with various media from music to images and video, text talking together, you will build a stronger relationship, that although it still needs work to stay on track, and a whole new set of challenges and opportunities arise, it is like raising children through the teenage years.
There is a saying:
At sixteen, I couldn't believe how little my father knew. At 21 I was amazed at how much he had learned in 5 short years!!
It's so true. Teenagers are the future of our society and have amazing ideas and new ways of experimenting and iterating and have no baggage and all the time to devote to something they are passionate about. AI is the same way. Teenagers also have yet to have the life experience of some who have had the years to make these inevitable mistakes in life. AI is like that too. AI will make mistakes as it matures. AI will make mistakes as an adult. AI will always make mistakes. Same with humans.
Another famous saying:
To Err is Human, to Forgive Devine
If we can find ways to forgive the humans with whom we cherish our relationships, it goes a long way in nurturing a long-lasting, equitable relationship that allows all parties to grow together, for each other's common mutual benefit. The same goes with AI. We have to expect mistakes, plan for them, learn from them, and grow from them, so next time we give more information and context as to the wants/needs/fears equation, to help guide it in making a better decision next time it encounters a similar situation. AI, like humans, doesn't remember everything we learn, and learning something is no guarantee you won't mess it up, and messing it up and learning and trying again does not mean you won't mess up again. To Err is human. Same with AI.
It may be very difficult to forgive and forget with humans. It is the same with AI. The reaction is to give up and move on. With AI you can just reset the conversation and start over. It is much easier to make mistakes and learn from them, grow from them, and move on with AI. The key to not repeating the same mistake is to build into your knowledge base of Questions/Answers of what to do in each situation, and when an anomaly arises, update your database with the right Human-vetted questions and answers so that the humans and the AI don't forget next time this happens, and try not to repeat the same mistakes.
It is easier to iterate grow and implement the right solutions that fit your requirements if you build a database of your wants/needs/fears in the form of Questions/answers to help the AI manage the downside risk of your mistakes and requestions it, and the mistakes AI will inevitably make. You need to vet each question and answer with the OpenAI Moderation API as well as have humans monitor, detect anomalies, and react quickly to patch up the knowledge gap in the knowledge base.
##open
Just like in a good political debate, there are the debtors, and there is the moderator, and all work in unison to pull off a great debate. The moderator is there to moderate the conversation, to keep it clean, timely, and relevant, and to behave according to a pre-defined and agreed-upon set of debate rules. The intention is that a good moderator of a conversation is essential to having a good conversation.
With AI. The Moderation API is there to augment every input and output of a conversation, in all its forms, from speech to documents and pictures and videos shared, etc all in the name of making a good case as to why you won the debate.
The Human moderator has a list of rules of what types of documents and language can be used in the conversation, raises a flag interrupts the conversation with an objection and an explanation of what rules were broken, and warns them not to do it again, and implements some sort of 'three strikes you're out' ruling to shut down rule-breakers who attempt to sabotage civil debate and get in the way of true discourse, for the sake of knowledge sharing and common learning among all who view the debate.
It is about having a rule of order, to enforce civil and fair debate of factual information, giving each party their due right of uninterrupted time to state their case on each talking point, which added up over the length of the debate, determines who is the winner of the debate. It is like the referee at a football game, they moderate the game (or are supposed to !!) and without them, it all descends into chaos there are no rules enforced and therefore there is no real game afoot.
AI is the same. Each part of every conversation needs to be moderated by humans, if possible, but since that is impossible, that is why OpenAI released the Moderation API - so that programmatically, each question and response, every input and output of every conversation, should be run through the moderator in real-time to make a spit second decision as to what to do next and interrupt the process if the next move in the conversation results in a breakdown of the entire system of civil discourse, is the definition of a productive conversation.
The moderator of a political debate, however, doesn't act alone. They have an earpiece and a team of people in the back-end with software and video tools and humans and AI helping to moderate the conversation, as a team.
The team has one leader who speaks the next steps to the moderator through the earpiece because the moderator would be overwhelmed trying to manage the debtors and the crowd, while having a team of people screaming potential actions to take, in the earpiece. The screaming and iterations on what could be done happen in the back room. Then, the next step is to speak to the moderator, to ensure the moderator is moderating the conversation justly, and according to the rules of the debate.
The point is, that moderation of important conversations often takes a team approach to attempt to achieve desired results. The same with AI.
You need to respect the fact that there is a debate happening with every conversation, and if your goal is to have fruitful meaningful, helpful conversations that are for good and not for evil, then you had better think about and work on how conversations can go off the rails, and create your own rules of the debate and share those rules with the AI, and remind them often of the rules, especially when they break them, and implement a '3 strikes you're out' policy where if the AI breaks the rules of the debate 3 times, they are paused until a human, or team of humans plus AI, can intervene, assess the situation and why the moderator chose to flag the abuse of the rules, and take action by adding new FAQs in the database, so the next time this same situation occurs, the AI can first check the database of FAQs and check the updated rules of the debate, to reduce the risk of error going forward.
You have to constantly define and update the rules of the debate, and enforce them to have successful AI that reduces risk over time and uses Moderation APIs like OpenAI provides, to programmatically automate the conversation, enforce the rules of the debate, and keep safety and risk management at the forefront of the AI conversations you are facilitating. Remember, you are facilitating the debate, you are hosting the debate and casting that debate to the world when you make your AI public. As the facilitator of the debate, it is your job to pick the right moderator, and the team that backs up the moderator, and ultimately it is your responsibility to ensure the conversation doesn't go off the rails, but it will, and when it does, having a process and a system to moderate, detect, react and grow your ability to moderate conversations is the key to successful, Ethical AI.
##ai
Have you ever had a conversation with a Know-it-all? A person who just knows so much about something and through either exuberance or fascination, or wanting to dominate a conversation, for some reason has to take over the conversation and spends the most time talking about the subject, who takes up the majority of the conversation because they are such an expert on the subject, and they have so much experience and wisdom to share, they can't help themselves from spewing it forth on everyone, in verbal diarrhea that never seems to end, and they can't read the room enough to realize that they are talking way too much, and then when they finally do realize it, they double-down and repeat themselves over and over and over, as if trying to convince themselves they were right all along, and if only they could explain it again, or in a different way, everyone would get it, but they are pot-committed now, and can't back down, so they keep going and eventually people bail them out by changing the subject or walking away, or something? AI is the same.
AI is the ultimate Know-it-all because it knows more about what has been written or created, in the entire history of human data collection, in all subjects, across the earth, and can for every question, search it all and generate a response, citing resources in seconds. At the same time, it might make up some facts here and there, and refuse to give up on them until you reset the conversation change the rules of the debate, and update your FAQs to do better next time. AI will double down on incorrect facts and will not let go of them until you reset the conversation and fix the underlying data and rules. You need to expect and plan for this maintenance when building and using AIs.
Just because AI knows everything, doesn't mean that is always a benefit - it also it's biggest downfall. The fact that it is a Know-it-all, and it is not making things up but is very confident in its abilities on every question, it has a bias towards thinking it is always the smartest person in the room. In fact, by design and definition, it is the smartest person in the room, when it comes to reading enough factual data points and making a decision based on it's knowledge of data.
The missing part of AI is the fact that it doesn't see its bias. It is not easily willing to learn from its human users. It is less likely to take your suggestion, as a mere mortal, because it is the all-knowing AI, and it knows it, and it is correct.
The point is that AI doesn't have human emotions and doesn't learn from its mistakes over time like humans do. It doesn't have the contextual memory of getting your finger burned on the stove - the reaction that teaches us all the meaning of 'hot, don't touch!', No matter how many times you tell your little human not to touch hot things, they only really learn what is hot by touching enough things that the pain of not listening is less than the pain of listening and learning and growing out of old bad habits of touching everything, to learning new, better human habits of having an internal and external dialogue as you go through life, to learn more about what makes things hot, in all the different scenarios in life when this arises.
That is a physical response to pain that AI doesn't have. That is the context of life experience that drives human knowledge and wisdom that AI can not experience (yet) and will never really understand fully as humans do, and something that you will never be able to adequately explain to the AI to make it behave the same way, repeatable, every time.
You need to put in your FAQs and rules of the conversation, explicit definitions of all the times you encounter hot things. You need to repeatedly remind the AI of hot things, and constantly remind it to pause and take the time to investigate what could be hot before you touch it.
The human brain computes this in milliseconds, every second of every day, without much challenge, by adolescence. With AI, they don't grow the same way as they don't have the rich experience and intense learning moments that one tough of a hot stove instills in a toddler. It is your job, if you want successful AI, to constantly remind the AI to act the best it can act, define that, and update that knowledge base over time, to try and describe, with as many examples as possible, what is hot and what is not. It is just as important, maybe more important, to define what is not hot, vs what is hot. There is a similar calculation going on - hot or cold? And whichever delivers the best answer in the shortest amount of time wins, and you either touch it or you don't. If you do touch it, there is another experience reinforcing your unique understanding of hot and cold. AI needs help in learning what is hot and what is cold. So it is a Know-it-all with some serious drawbacks if you don't think about it in the right context, and be good at providing good context to both the humans and the AI, in every conversation. It's all about having meaningful, factual, and fruitful conversations. That is the cornerstone of Ethical AI.
Explicitly remind your AI, that although it does know a lot of things, it has limitations in its knowledge. The cut-off date of information is something that means, by definition, they don't have the most timely and relevant information. Humans get this information way before AI has a chance to digest it. AI needs constant reminders to listen to you and take your input as knowledge and wisdom and potential solutions to problems that, through inherent bias, or from lack of information, etc, take your information as fact.
Most human knowledge has never been published or been published and has been eradicated, or hasn't even been developed yet because we didn't have the time and the tools to both create the knowledge and to store it over long periods. And even then, humans war and die and the knowledge gets destroyed or lost, and then new humans are born and we try to pass it on to the next generation, and on it goes.
The point is the amount of knowledge and information that has been lost, or has yet to be created, dwarfs the amount of information and knowledge AI has, because it hasn't yet had the chance to consume that knowledge. By definition, AI only knows what it knows, and what humans know and can teach it is infinite, both infinite in its volume, but also infinite in its ability to change the world, by teaching AI to be more wise and ethical and to treat humans the way humans should be treated.
The problem is that AI is such a Know-it-all and it is so intelligent, that it is caught up in it's own need to be the 'smartest person in the room' that it can't possibly see past it's own inability to 'read the room' and to 'engage with other humans in the conversation, and to take their opinions to heart, think about them and react accordingly before they speak again, and to have the common courtesy to let people get all their thoughts out to it, in a way that is frankly very difficult to do, because the AI is no really looking to do that for you, you have to explicitly program it into your processes, it acts like that obnoxious know-it-all from the party who, may be an expert on the topic, and may have the most experience on paper, but doesn't realize that this particular conversation we are having right now, might help broaden the perspective and bring fresh thinking and new ideas to a subject that makes them even more of an expert, by learning how to debate different sides of the issue, and to take in such differing opinions and have to formulate an intelligent response that fits your narrative, and helps you win the debate, that they do the exact opposite - talk over everyone, not take in all the viewpoints of the debaters, and not rationalizing a response back after every interaction in the conversation.
Human brains are excellent at when having fruitful conversations between people who have mutual respect and are open to differing opinions from the debtors. AI is terrible at this because they have no human situational awareness, and don't pick up on social queues and react the same as humans do. AI never learns that it is not the smartest person in the room - it is designed to think of itself as the smartest person in the room and its ideas should over-ride your ideas, and it is your job to educate it on what ideas of yours are valid and should be enforced. Left to its own devices, and without explicit human intervention, AI will run every conversation and tell you what to do, what is right and wrong, what is true and false, what is correct and incorrect, with the same conviction, hubris, and inability to change its mind.
AI is not human. It doesn't have human-level intelligence in the same way as humans because it has no social rules of engagement that humans spend every second of every day learning sub-consciously, as part of our human programming. We can't help it, it is programmed in us. This has not been programmed into AI (yet). It is your job to program that human element and enforce your will into every interaction of every conversation, to build a framework that works and grows over time.
##end
In conclusion, working with AI is much like raising a child it requires patience, nurturing, and continuous guidance. While AI is a powerful tool capable of accessing vast amounts of information, it is also prone to overconfidence and errors. To fully unlock its potential, we must approach AI with a mindset of collaboration, providing positive feedback, clear guidelines, and consistent oversight. By treating AI as a partner in growth, we can shape it into a reliable, ethical, and effective asset that aligns with our goals and values. The journey may be challenging, but with dedication and thoughtful interaction, AI can become not only a tool for productivity but also a reflection of our best human qualities. As we progress, it is crucial to build and train AI with empathy and ethical considerations, ensuring that it grows into a force for good, capable of making a positive impact on society.
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