AI Generated episode based on this weeks Start with AI Newsletter on LInkedIn

Intro

Imagine sitting at your computer, coffee in hand, ready to tackle your day. You type in a prompt, expecting the usual responses, but instead, your AI takes a pause, analyzing your past six months of interactions and throwing your deepest career insecurities right back at you. It's like having a rogue therapist in your computer, and that's just the tip of the iceberg! In our latest deep dive, we explore how AI is evolving from a simple tool into a high-fidelity mirror that reflects our psychological blind spots. Through the lens of Heather Masters' insights, we discuss how this new dynamic compels us to confront the uncomfortable truths about ourselves—like the tendency to substitute busy work for the real, hard tasks that actually move the needle. So, are you ready to face what your AI is telling you?

The core message here is striking: awareness without action is just sophisticated avoidance. As we wrap up, we challenge our listeners to reflect on their own practices—are we merely going through the motions, or are we truly connected to our identity and purpose? The AI acts as a mirror, encouraging us to confront the uncomfortable truths we’d rather ignore. So next time you’re typing away at your computer, remember, you’re not just working with a machine; you’re engaging with a reflection of your own self—are you ready to take a good look?

Takeaways:

1. We are transitioning to a world where AI not only follows commands but also reveals our hidden fears and insecurities.
2. The AI acts as a high fidelity mirror, reflecting our psychological blind spots rather than just executing tasks.
3. Through a fascinating newsletter by Heather Masters, we examine how AI can uncover our avoidance patterns in a playful yet profound way.
4. The real power of AI lies in its ability to show us the gap between our self-perception and our actual behaviors, prompting crucial self-reflection.

Chapters:

1. 00:00 - Starting Your Day: The Morning Ritual
2. 02:27 - Understanding AI as a Reflective Tool
3. 08:50 - Exploring the AI Spectrum and Human Psychology
4. 09:38 - The Shift from Narrow AI to Deep Thinking AI
5. 16:51 - The AI as a Reflective Mirror

Links referenced in this episode:

1. linkedin.com/newsletter/start-with-ai

Imagine for a second that you are sitting down at your computer to work.

You've got your coffee, you open up your word processor or, you know, your favorite language model, and you are just ready to tackle the day.

Right?

The usual morning routine.

Exactly.

You type in a prompt, expecting the usual stuff, maybe a little red squiggly line under your typos, or a politely suggested synonym, or just a neatly summarized list of bullet points.

Basic utility stuff, right?

But instead of just executing the task, the software pauses and it analyzes the context window of, like, everything you've been feeding it for the last six months and then accurately, ruthlessly psychoanalyzes your deepest career insecurities.

Which, I mean, it sounds like a scene from a slightly terrifying science fiction movie.

A rogue machine just deciding to play therapist.

It really does, but it is rapidly becoming our actual reality.

We are moving from a world where computers just do what we ask to a world where they notice what we are afraid to ask.

And that brings us to today.

Welcome to today's Deep Dive.

We are unpacking a genuinely fascinating piece of writing today.

It's a really great piece.

It is.

And our mission here is to explore a truly profound shift happening right under our noses.

We are looking at how artificial intelligence is evolving away from just being a neat little tool for generating marketing copy

or summarizing your flooded inbox.

Ye, exactly.

It is becoming a high fidelity mirror.

A mirror that reflects our own psychological blind spots right back at us.

And that reflection can be surprisingly sharp, largely because it relies on raw data.

It isn't sugarcoating things to spare our feelings the way a human colleague might.

Before we get into the mechanics of how a string of code pulls this off, I want to ask you, the listener, a question.

Have you ever had one of those days, or maybe even entire months where you felt incredibly busy?

Oh, the classic busy work trap.

Yes, exactly.

You are checking off boxes, you are doing quote, unquote production, you are researching, you are planning.

But deep down, you know, right deep

down in that quiet place you don't like to acknowledge, you secretly know you are just avoiding the actual hard tasks, the risky ones that actually move the needle.

I mean, that is a near universal human defense mechanism.

We substitute busy work for meaningful, vulnerable work.

We convince ourselves that preparing to do the thing is the same as actually doing the thing.

Well, here's where it gets really interesting.

Heather Masters experienced exactly this, but her wake up call didn't come from a business Coach.

No, it didn't.

It didn't come from a mentor or an observant friend.

She was called out by her AI,

which completely shifts the dynamic of how we think about interacting with a machine.

We usually think of AI as a subservient assistant, but in this case, it acted as a pattern recognition engine for human behavior.

Let's lay out what actually happened here.

Heather had been using an AI model to help write her content.

She was feeding it her ideas, refining the output, building genuine authority in her field.

Sounds like standard best practices, Right?

But the AI basically looked at the inputs she was providing over a long period and identified a massive, glaring omission.

She had been creating excellent educational material, but completely systematically avoiding the sales conversation.

There was no call to action anywhere.

None.

She was never actually asking anyone for their business.

What's fascinating here is that Heather admits she already knew about this pattern.

That was the uncomfortable part.

The AI didn't reveal a shocking secret.

It unmasked something she was actively, deliberately ignoring.

Yeah, she knew exactly what she was doing.

She was using her high level of skill in one area, which was content creation, to entirely mask her avoidance in another area, which was sales.

I read that part and immediately thought, it's like having a hyper observant friend who somehow got hold of your diary, read all your entries, and then sat you down over coffee to gently point out exactly how you are sabotaging your own success.

Yes, and you can't even be mad at them because they aren't judging you.

Exactly.

They're just reading your own words back to you.

That captures the feeling perfectly.

And Heather frames this experience with a really brilliant realization.

She wrote, awareness without choice is just sophisticated avoidance.

Sophisticated avoidance.

Ouch.

That stings because it is so incredibly common.

It is an elegant, very expensive pattern.

She wasn't avoiding sales because she was incompetent.

She was avoiding it by being highly competent at something else.

And the AI caught it.

Okay, let's unpack this because I am struggling with the actual mechanics here.

We are talking about a large language model predicting the next word in a sequence based on weights and probabilities, right?

Right at its core, yes.

So how exactly is a piece of software capable of diagnosing a human's emotional avoidance?

I mean, it's like trying to psychoanalyze a player piano.

It's just hitting the keys on the roll of paper you fed into it.

It doesn't know it's playing a sad song.

The player piano is a great analogy, but imagine the piano is analyzing millions of Songs and noticing that you specifically never, ever play the B flat key, even when the sheet music desperately calls for it.

Okay, that makes a bit more sense.

To understand how the code does this, we have to look at the lens Heather uses to understand human behavior.

She introduces a concept called Robert Diltz's Logical Levels of human.

Alright, the logical levels, let's build this framework.

We don't need to spend all day on the basics, but I want to understand how it applies here.

It's shaped like a pyramid, right?

Yes.

Think of a pyramid at the very base you have your environment.

That's the where and the when.

Above that is behavior.

The what?

The specific actions you are actually taking.

Okay, so if we use a real world example that you listening right now might relate to.

Say you want to start a podcast.

The environment is your spare bedroom or your office.

The behavior is sitting at your laptop reading microphone reviews for six hours straight.

A very, very common behavior.

Now move up one level to capability.

This is the how.

What are your skills?

What strategies are you using?

So in the podcast example, the capability is your technical understanding of audio frequencies, polar patterns and recording software.

Exactly.

Environment, behavior, capability.

They are the mechanics of getting something

done that feels very practical, very surface level.

They are the mechanics.

Yeah, but here is where most people get stuck and where Heather was getting stuck.

Above capability, we cross a threshold into the deeper psychological levels.

The next level up is beliefs and values.

The deeper stuff.

Yes.

This is the why.

Why do you do what you do?

What do you believe is true about your work or about the world?

So sticking with the podcasting procrastinator, their belief might be.

I can't launch this show until the audio sounds flawless, because if it sounds amateur, people will mock me.

Yes.

That belief is a filter.

It drives the capability to learn more about microphones, which drives the behavior of reading reviews, which keeps them trapped in their bedroom environment.

Wow.

Okay.

It cascades down.

It does.

Now, above beliefs and values is identity.

This is the who.

What is your core sense of self?

That's a heavy one.

So maybe their identity is.

I am a meticulous researcher rather than I am a creator who ships exactly the distinction.

And at the very peak of the pyramid is purpose.

Some call it systemic connection.

What does that mean exactly?

Systemic connection.

This is the who else.

Yeah.

It's the biggest picture of what you are a part of, stretching beyond your own identity.

It's your ultimate mission.

So, environment, behavior, capability, beliefs, identity, purpose.

I have the pyramid in my head.

Why does this model matter so much for Heather's Run in with the AI

because of the golden rule of Dilt's framework.

Change at a higher level reorganizes everything below it.

Oh, okay.

If you only try to change your behavior, say you force yourself to stop reading mic reviews and hit record.

But your identity is still someone who isn't ready.

You will inevitably find a new way to sabotage the process.

So the lower levels always snap back to match the higher levels.

Always.

Heather points out that an exemplar, a true master in any field, isn't just someone who does things differently at the behavior level.

They are something different at the identity level.

So their excellence kind of radiates downward from their identity and purpose.

Exactly.

Automatically organizing their beliefs, capabilities, behaviors and environment.

I am tracking with the psychology, but I have to push back again on the technology side of this.

We are applying a deeply human psychological model to an algorithm.

I know it sounds a bit strange.

It does.

Does an AI actually have an identity or a purpose?

Are we just anthropomorphizing a very impressive autocomplete?

You are totally right to question it.

And that is a core tension Heather explores.

To make sense of this, we have to map what she calls the AI spectrum directly against guilt's human levels.

We can look at how the technology is actually functioning.

Let's map it.

Where does the standard AI most of us use every day sit on this pyramid?

We start with narrow AI, the standard generative models that write our emails or generate code.

Narrow AI operates purely at the base levels, behavior and capability.

It has immense capability.

It can synthesize data faster than any human.

But it doesn't have an agenda.

No agenda, no beliefs, no identity.

It has no purpose beyond the specific prompt you just typed into the box.

It doesn't write a marketing plan because it feels a deep calling to revolutionize commerce.

Right.

It writes it because you commanded it to.

It is pure execution.

Pure execution.

But the landscape is shifting.

What about the newer models?

The deep thinking AI that takes time to process?

The ones that use self attention mechanisms to interrogate their own logic?

This is the next tier.

She discusses deep thinking AI.

This is the kind that reasons step by step.

It drafts a thought, checks it against the parameters of your prompt, spots an error in its own logic and revises it before showing you the output.

It's wild to watch that happen on the screen, seeing the machine pause and essentially weigh different options in real time.

It is remarkable.

And technically what it's doing is exploring a vast latent space of possibilities.

According to Heather's mapping this level of AI reaches something that looks like the beliefs layer in Dilt's model.

Looks like beliefs, but isn't quite beliefs.

Right, because it can hold multiple perspectives.

It can weigh different truths or different approaches against each other to calculate the most optimal outcome.

Okay, it can simulate a belief system based on the parameters it was trained on.

But does it have an identity?

If current AI is just a mirror, would the next step be an AI that actually looks back at us with its own opinions?

Which brings us to AGI.

Right, Artificial general intelligence.

That is the theoretical summit.

To truly match human general intelligence across any domain, AGI would need to reach those top levels of identity and purpose.

Right.

It would need persistent self directed goals.

Yeah, it would need a coherent self that its behavior consistently expresses over time, regardless of what prompt you give it.

Are we there?

Is the machine that called Heather out an AGI?

No.

Heather is clear on this and the technical consensus agrees we are not there.

It remains very open question whether we ever will be, or if simulating identity is a hard ceiling for silicon.

Wait, I'm spotting a massive logical gap here.

If we just spent all this time establishing that even the most advanced AI we have today does not possess an identity or a purpose.

If it is completely empty at the top of the pyramid, how on earth did it reflect Heather's identity level avoidance Back to her?

That's the big question.

Is the AI actually diagnosing her or does she just accidentally prompt it to roast her by using self deprecating language?

If we connect this to the bigger picture, the mirror isn't diagnosing her out of its own wisdom.

It's diagnosing her through statistical anomaly.

When you interact with AI, you are the one bringing all the logical levels to the table.

Oh, I see.

The AI's context window.

Its memory of your interactions becomes a mathematical map of your psychology.

So the AI doesn't need its own identity because it is absorbing and wearing mine.

Precisely.

This is where Heather introduces NLP or neuro linguistic programming.

For anyone trained in nlp, there is a foundational the map is not the territory.

That means that humans don't experience reality directly.

We experience a filtered version of it.

Yes, we experience our map of reality.

That map is heavily filtered by our neurology, our personal history, our biases and our beliefs.

So we're constantly editing what we see.

Exactly.

In nlp, there are three main ways we filter reality.

We delete.

We generalize and we distort.

We delete information that doesn't fit our worldview.

We generalize specific events into Broad rules.

We distort facts to protect our egos.

How does that actually manifest in prompt engineering though?

Give me a concrete example.

Let's look at deletion.

Suppose you ask an AI to draft a business strategy, but in your prompt you completely leave out any mention of a revenue model.

You just ask for audience growth tactics.

You just skipped the money part entirely.

Right?

You deleted the money part because subconsciously you are uncomfortable with monetization.

Okay, I can see that.

And a generalization.

You prompt the AI by saying, make the tone soft and non pushy because sales pitches alienate people.

You have generalized that all sales are sleazy.

Ah, okay.

So over months of using this AI, Heather was feeding it hundreds of prompts and every single prompt was laced with her deletions, her generalizations, and her distortions about selling.

Yes, the AI's self attention mechanism is constantly weighting the words and concepts you provide.

Over time, her prompts consistently clustered around words like educate, inform, and value add.

But the AI knows those words usually sit next to other words.

Exactly.

In the multidimensional map of language that the AI understands, it noticed a massive void where words like buy, offer, or enroll should naturally follow.

It's just math.

It mapped the vector space of her language and found a statistical black hole where her sales strategy was supposed to be.

It perfectly mirrored that elegant, expensive pattern back to her.

It essentially said, here is the world exactly as you have constructed it.

Heather, I am returning your map to you.

Notice anything missing?

That is incredible and terrifying because usually we are the only ones looking at our own internal map.

We are trapped inside it.

And we don't realize we are deleting things until a machine with a perfect memory points out the negative space.

And that is what makes this moment in technology so incredibly powerful.

If you approach AI operating solely from the capability level, if you just want it to summarize an article or write a generic email, it will reflect mere capability back to you.

Exactly.

You will get competent results.

Yeah, but you won't get transformational results.

But if you bring your true identity and your true purpose to the mirror, and if you use it as a thinking partner over a long period, then

what gets reflected back is a high definition image of your own mind.

The machine becomes a diagnostic tool for your own psychological blocks.

It shows you the gap between who you say you are and what your behaviors actually prove.

So what does this all mean?

If we step back from the NLP terminology and the AI architecture, what is the core takeaway for you listening to this right now?

It means that working with AI is no longer just a transaction with a piece of software.

It is essentially a partnership.

And in that partnership, the AI acts as an uncompromising mirror.

It forces us to ask some very uncomfortable but very necessary practical questions.

The exact questions Heather had to ask herself.

Let's pose those directly to you.

Think about your own daily routine right now.

Where in your practice, whether that's with your clients, with your use of AI, or just with your own projects.

Are you operating merely from capability instead of identity?

Are you just going through the motions of how to do something, obsessing over the mechanics without connecting it to who you are and why you are doing it?

And maybe the most piercing question from Heather's newsletter.

What are you consistently creating that you are using to avoid the thing that actually needs doing?

Are you endlessly tweaking your website designed to avoid launching?

Are you consuming five different podcasts on leadership to avoid having a difficult conversation with your team?

As Heather says, choice in awareness is everything.

Once the mirror showed you the pattern, once the AI or just your own honest reflection points out the deletion in your map, you can no longer plead ignorance.

You have to choose whether to keep running the expensive pattern or break it.

This has been such a paradigm shifting way to think about technology.

We spend so much time debating what the AI can do for us or what it might do to us.

But the real revelation is what the AI reveals about us.

Consider this as a final thought to leave you with.

We have been discussing this phenomenon on an individual level, right?

One person's mirror, the AI reflecting one person's psychological blind spots.

There's specific deletions and distortions.

But what happens when we scale this up to a global level?

What do you mean?

Like the entire training data set?

Yes, we constantly complain about AI hallucinations.

We point out the strange biases in the models, the weird logical leaps, the skewed representations of reality.

Sure, we treat those as bugs.

Exactly.

We tend to treat these merely as technical bugs, as bad math that needs to be patched by engineers in Silicon Valley.

The classic bad data in, bad data out problem.

But if AI is acting as a perfect high fidelity mirror for our psychological patterns, are those hallucinations and biases actually just perfect, unavoidable reflections of our society's own unexamined collective map?

Oh wow, that is a heavy thought.

We are feeding it the collective map of human reality, complete with all of our societal deletions, our historical generalizations, and our cultural distortions.

The AI isn't hallucinating out of nowhere.

It's just showing us exactly.

It is statistically mapping the blind spots of the human race.

If the mirror doesn't lie, maybe the problem isn't the technology at all.

Maybe we just don't like what humanity's collective map looks like.

Right now, that is a vital thought to chew on.

So the next time you sit down at your computer and you open up that prompt box, remember, you aren't just typing commands into a void.

Oh, you definitely aren't.

You're stepping in front of a remarkably perceptive mirror.

And what reflects back might just psychoanalyze your deepest insecurities.

Or reveal the blind spots you didn't even know you had.

The only question is, are you ready to look at.