Mindset: You vs Your AI

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We all have our very own wellbeing processor.

It influences how you feel and act. It leads to every outcome you’ve ever had or will have…

For most of us, our wellbeing processor is primarily fed by our very own AI.

Unfortunately, our AI often seems to work against us.

In this talk, you’ll learn how to take back control and train your AI to work with you to promotes a growth mindset and optimise wellbeing.

This talk has been presented at C3 Dev Festival 2024, check out the latest edition of this Tech Conference.

FAQ

The AI assistant in our daily lives watches and analyzes everything we do, providing suggestions on how we should think in any given situation. It uses data from our conscious mind to generate these suggestions.

The AI assistant ingests data from our conscious mind, which it has been collecting throughout our lives. It uses background algorithms to sift through this data, optimize it, and create links between various concepts. It then employs a cache to provide quick responses based on frequently accessed data.

Being mindful of the data we feed our subconscious mind is crucial because this data drives our thoughts, feelings, and actions. If we input negative or unhelpful data, it can lead to negative thoughts and feelings, which can impact our overall well-being.

Journaling three wins each day or three things you are grateful for can nudge your subconscious mind to look for more positive aspects in life. This practice helps to train your subconscious to focus on positive data, which can improve your overall mindset and well-being.

To recover from a negative thought cycle, you can: 1) Interrupt the negative thought by consciously yelling 'stop' in your mind. 2) Take deep breaths to reverse any physiological changes. 3) Ask yourself how you want to think about the situation and focus on thoughts that drive the desired feeling.

Software development teams can improve their mental health and well-being by measuring their team's well-being through ratings or questionnaires, making mental health a normal conversation topic, and encouraging supportive relationships and self-care activities.

Fitness plays a significant role in mental health by releasing endorphins, reducing stress, anxiety, and depression, and improving physical health. Regular physical activity can lead to better mental well-being and reduce concerns about physical health.

To be more mindful while consuming media, you can turn off notifications, limit app usage, and consciously decide when to engage with media. Recognizing the impact of media consumption on your thoughts and feelings can help you make better choices.

If a team member is struggling with their mental health, create an environment where they feel listened to and supported. Encourage them to engage in self-care activities, seek physical activity, and, if necessary, consider professional help from psychologists or coaches.

Our thoughts directly impact our feelings and actions. Positive thoughts can lead to better feelings and proactive behaviors, while negative thoughts can result in poor feelings and procrastination. Being mindful of our thoughts can significantly influence our overall experience.

Richard Donovan
Richard Donovan
26 min
15 Jun, 2024

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Video Summary and Transcription

This Talk explores the role of mindset in software development and the use of AI assistants. It emphasizes the importance of training the AI assistant and the potential impact of outdated beliefs. The conscious mind is discussed as the gatekeeper to thoughts and feelings, influencing our actions and results. Mindful media consumption and prioritizing mental health are also highlighted, along with the need to support team well-being. The Talk concludes with the significance of fitness in supporting mental health.
Available in Español: Mentalidad: Tú vs. Tu IA

1. Introduction to Mindset and AI

Short description:

Hello, everyone. Brilliant to be here. Today I'll talk about mindset in software development. I've been in software development for over 24 years and transitioned to be a mindset coach. Let's dive into the topic of your AI assistant and its system design. It can ingest data from your conscious mind and provide suggestions on how you should think.

Hello, everyone. Brilliant to be here. Hope you're all having an awesome day. I'm super excited to be able to talk to you today about mindset, or you versus your AI, and it's a topic that I don't think we manage to talk enough about in the software development industry.

But first of all, again, just a little bit about me, why I'm here. I've been in software development for over 24 years, and I've worked at all different levels. I transitioned to be a mindset coach for software developers and software development leaders, because I don't think anyone else seems to be doing that, and we definitely need a bit more support in this area. And to make my purpose well-being as a whole, I trained to become a personal trainer and an online fitness coach.

Now, I've estimated the time of this talk probably about as well as I estimate software projects, so I better crack on. I want you all to imagine that, as you go about your daily lives, you have a little AI assistant watching and analysing everything that you do. And it's constantly giving you little suggestions about how it thinks you should think in any given situation. Now, sometimes it works perfectly, and we don't even know it's happening. But other times it's not so helpful. And so, to try and understand why that happens, we're going to look at this AI assistant, and we're going to inspect a high-level system design about how this AI assistant might be operating.

So, this AI assistant has an API so that we can communicate with it. It can ingest data, we can send it requests, and we can get responses back. Simple enough. Now, the data for your AI assistant, how that is being trained, is getting the data from your conscious mind. So, that is anything and everything that you are giving your attention to. And that is being streamed directly to your AI assistant. And it has been for your entire life. So there's a hell of a lot of data there. That data is saved, and then we have some background algorithms. They try and make sense of this data. They try and work out what's important and what isn't. And they try and optimise it. And index it. And they create links between all kinds of concepts, ideas, people, places, situations. And your AI will use this data to constantly tell you how it thinks you should think in any given situation. You can imagine your mind is constantly sending your AI assistant requests.

2. How AI Assists with Thinking

Short description:

Your AI assistant employs a cache to provide snappy responses. It checks the cache first, which contains relevant beliefs and values. However, some data in the cache may be stale, leading to suggestions based on outdated beliefs. The system involves your conscious mind constantly training the AI assistant, background algorithms optimizing the data, and a potential face-off between the AI assistant's thoughts and your conscious mind.

Over and over and over again. And there's something like, how should I think about this? How should I think about this? How should I think about this? And this, of course, is the context of your current situation.

Now, your AI assistant has got a hell of a lot of data to come up with an answer and a suggestion of how you should be thinking. And we need these responses to be pretty snappy. We can't just be standing and pausing all the time. So your AI assistant employs a cache. It's the job of one of those background algorithms to be sifting through that data, working out what's important, working out what has been most frequently accessed. And it will put that into the cache for you. What that means for your AI assistant is it will check your cache first instead of checking that vast amount of data. And it will say, is there anything in here that suits this current situation?

Now, the kinds of things that this algorithm is going to find are things like our beliefs, our attitudes, our morals, and our values. In a very simplistic way. And so, there's a very high likelihood it's going to find something that's relevant to your current situation. So, it will lean on that to give us a response. And that's great for performance. But it's not so great when some of the data in that cache is actually has gone stale. So, we've got some strongly held beliefs that might have occurred during childhood, for example. And those beliefs might not be relevant to our current context. And yet, our cache is using them to suggest how we should be thinking.

And so, the whole system looks like this. Your conscious mind is constantly training your AI assistant. It's not a one-time operation. It's constantly getting that data. We've got background algorithms that are sifting through that data and trying to optimize it. We've got a cache that your AI assistant is using to give us these responses. And we've got your mind that is constantly calling your AI assistant to get these suggestions of how we should be thinking. And it's generating a vast amount of thoughts. And then, there is a face-off, or at least the potential for a face-off. And that is happening in your mind. And on one side, we have your AI assistant and the vast number of thoughts that it's producing. And on the other side, we have our conscious mind, the thing that we're in control of.

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