Why Your AI Should Challenge You
AI generated from Heather's LinkedIn Newsletter
Let’s dive right into it!
Today, we’re flipping the script on how we interact with artificial intelligence, and trust me, it’s a game changer. Instead of just using AI as a fancier search engine, we’re challenging ourselves to think deeper and engage more meaningfully with these tools. Our main takeaway? Are we using AI to truly enhance our thinking, or are we just outsourcing our brainwork to avoid the hard stuff? We explore this concept through a fascinating piece from Heather Masters' LinkedIn newsletter, where she shares her journey of building an AI that actually pushes back, making her confront her own assumptions and motivations. So, grab a cuppa, settle in, and let's rethink our relationship with AI together!
We’re diving deep into the concept of how we interact with AI and whether we're truly using it to enhance our thinking or just to sidestep the mental gymnastics that come with it.
Imagine if your GPS didn’t just tell you the fastest route, but instead grilled you on why you’re going to your destination. Would you be ready for that?
That’s the essence of our conversation today, inspired by Heather Masters’ insightful newsletter. She throws down the gauntlet with a profound question: is AI your partner in deep thinking, or just a crutch for avoiding hard questions? We explore this ‘smarter search engine trap,’ where many of us settle for surface-level engagement with AI. It’s like having a world-class philosopher at your disposal, only to use them to check if you spelled ‘avocado’ correctly!
Heather’s experience in NLP training revealed a stark difference in how practitioners engage with AI: they don’t just seek quick answers; they use it to dissect their language and thoughts, pushing themselves to think deeply. The game-changer here is her custom AI that challenges her prompts, insisting she provides concrete examples before it gets involved. It’s exhausting but ultimately rewarding, leading to those moments of genuine clarity and insight that we often overlook.
The episode wraps up with a powerful reminder: the quality of your AI interactions is a mirror of your own engagement. If you approach it with depth and a willingness to be uncomfortable, you’ll unearth insights that could transform your thinking. So, ask yourself: are you ready to turn your AI queries into challenges and embrace the discomfort that comes with deeper thinking?
Let’s not allow ourselves to drift into complacency when we have such powerful tools at our disposal!
Chapters:
- 00:03 - Challenging Your Interaction with AI
- 02:01 - The Smarter Search Engine Trap
- 03:40 - Challenging Assumptions with AI
- 06:27 - The Internal Struggle of Self-Worth in Business
- 07:28 - The Human Element in AI Interaction
- 09:30 - The Impact of AI on Human Thinking
Takeaways:
- Artificial intelligence can either deepen our thinking or enable us to avoid it altogether, so choose wisely!
- Using AI merely as a fancy spell checker limits its potential; engage it to challenge your thoughts instead.
- We often blindly follow AI suggestions, much like relying on a GPS without understanding our surroundings.
- Quality of interaction with AI is directly related to the effort and presence we bring to it.
Links referenced in this episode:
Transcript
Welcome back, learner, to today's Deep Dive.
Speaker A:And today we are going on a mission to completely fundamentally challenge how you interact with artificial intelligence.
Speaker B:Yeah, it's a big one.
Speaker B:We're really going to flip the script on what you think these tools are actually for.
Speaker A:Exactly.
Speaker A:So think about this.
Speaker A:You get into your car, right?
Speaker A:You plug a destination into the GPS and you instantly feel that, like, wave of relief.
Speaker B:Oh, yeah, you just completely outsource your navigation, right?
Speaker A:You just follow the blue line, you turn left when the voice says turn left, and you essentially just switch off your spatial awareness for the whole trip.
Speaker B:And then you arrive, right?
Speaker B:Yeah, but if someone asked you to draw a map of how you got there or name the neighborhoods you just.
Speaker A:Drove through, you couldn't do it.
Speaker B:No, absolutely not.
Speaker B:Because you traded environmental understanding for just pure frictionless convenience, which is great for driving.
Speaker A:But imagine if you plugged in that destination and instead of giving you the fastest route, the GPS screen locked and it just asked you, why are you even going there?
Speaker B:Oh my gosh.
Speaker B:People would lose their minds.
Speaker A:Right.
Speaker A:Is this trip actually necessary or are you just trying to avoid dealing with what's happening at home?
Speaker B:Most people would literally rip the screen right out of the dashboard.
Speaker A:They'd throw it out the window.
Speaker A:And yet, when it comes to artificial intelligence, we are kind of blindly following that blue line every single day.
Speaker B:We really are.
Speaker A:Which brings us to our sole source for today, it's this fascinating edition of a LinkedIn newsletter called Start with AI, written by Heather Masters.
Speaker A: ,: Speaker B:And Heather's platform, just for context, focuses on what she calls practical intelligence for humanity.
Speaker B:First, businesses.
Speaker A:Yeah.
Speaker A:And she poses this central premise right out of the gate that just grabs you.
Speaker A:She asks, are you using AI to actually think more deeply, or are you just using it to avoid the discomfort of thinking at all?
Speaker B:It's such a H heavy question because the baseline problem she observed is that most people are falling into this trap.
Speaker B:She calls it the smarter search engine trap.
Speaker A:Right, like treating it like Google on steroids.
Speaker B:Exactly.
Speaker B:They use it to fix their grammar or they want faster answers, but they maintain the exact same quality of question.
Speaker B:So they aren't elevating their thinking at all.
Speaker A:I mean, treating this incredibly powerful technology like a fancy spell checker is basically like.
Speaker A:Well, it's like hiring a world class philosopher just to proofread your grocery list.
Speaker B:That is the perfect way to put it.
Speaker B:You're bringing in the greatest synthesis of human knowledge just to make sure you didn't Misspell Avocado.
Speaker A:It's wild when you think about it like that.
Speaker A:So how did Heather actually figure this out?
Speaker B:So she observed this contrast really closely over a few weeks while she was inside Sunight's NLP training.
Speaker A:Wait, nlp?
Speaker A:Just to clarify, that's Neuro Linguistic programming, right?
Speaker B:Yes, exactly.
Speaker B:She was doing the master Practitioner training.
Speaker B:Yeah, and she watched how these really serious NLP practitioners engage with AI in real time.
Speaker A:Okay, and how was it different from what the rest of us do?
Speaker B:Well, NLP is heavily focused on language and how it reflects our internal maps of reality.
Speaker B:So these practitioners weren't just asking for quick summaries.
Speaker B:They were using it to dissect their own language.
Speaker A:Oh, wow.
Speaker A:So they were going deep.
Speaker B:Yeah, it was a stark contrast to her own practice at the time, which she realized was pretty shallow by comparison.
Speaker A:Okay, but recognizing that trap is one thing, right?
Speaker A:Yeah, actually forcing yourself out of it is another.
Speaker A:I mean, on a Tuesday morning when I have 50 emails to write, I don't want a philosophical debate.
Speaker B:Right, you just want the draft done.
Speaker A:Exactly.
Speaker A:So how do you break the habit?
Speaker A:Because her solution is incredibly unique and honestly, kind of counterintuitive.
Speaker B:It really is.
Speaker B:To break out of that smarter search engine trap, she built a custom AI agent designed to do something highly unusual.
Speaker B:It actually challenges her before it helps her.
Speaker A:Okay, let's unpack this because I'm channeling the listeners skepticism right now.
Speaker B:Go for it.
Speaker A:If I am using a tool specifically designed to make my life easier and faster, why on earth would I intentionally program it to argue with me, slow me down, and make my life harder?
Speaker B:Because she realized that by engineering friction into the system, she was forcing herself to actually think.
Speaker B:She outlines these specific ways the AI pushes back.
Speaker A:How does it push back, practically speaking?
Speaker B:Well, first, it just flat out refuses to engage with abstract ideas until she provides specific lived examples.
Speaker A:Wait, really?
Speaker A:It refuses?
Speaker B:Yeah.
Speaker B:So if she types in a prompt about some vague business concept, the AI essentially says, no, give me a real example from your actual life first.
Speaker A:That sounds exhausting.
Speaker A:But I guess it actively calls her out when she is hiding behind clever language, right?
Speaker B:Exactly.
Speaker B:When she tries to use jargon, instead of stating something true, it flags it.
Speaker B:And it pushes back incredibly hard when her thinking is lazy.
Speaker A:But AI isn't perfect.
Speaker A:I mean, it must get things wrong or misunderstand what she's trying to say sometimes.
Speaker B:Oh, for sure.
Speaker B:Heather totally admits that.
Speaker B:But she says that flaw is actually a feature.
Speaker A:How so?
Speaker B:Because even if the AI is slightly wrong, the mere reminder to do better to pause and reconsider.
Speaker B:Her words is always useful.
Speaker B:It breaks the autopilot.
Speaker A:Okay, so the payoff of all this discomfort must be pretty huge, because nobody subjects themselves to a digital drill sergeant just for fun.
Speaker B:The payoff is what she calls moments of genuine shift.
Speaker B:And these weren't like massive earth shattering revelations, right?
Speaker A:They were specific recognitions about her own psychology.
Speaker B:Yes.
Speaker B:For example, she was struggling with being visible in her business, you know, marketing herself.
Speaker B:And she'd been calling this resistance caution.
Speaker A:Caution.
Speaker A:Which sounds so reasonable.
Speaker A:It sounds like good business strategy.
Speaker B:Exactly.
Speaker B:It's a great shield.
Speaker B:But when the AI wouldn't let her hide behind that word and forced her to unpack it, she realized it wasn't caution at all.
Speaker A:It was avoidance.
Speaker B:Yes, it was straight up avoidance.
Speaker B:Changing that one word completely shifts how you have to deal with the problem.
Speaker A:Oh, man, that is so true.
Speaker A:Because caution is a virtue, but avoidance is a problem you have to fix.
Speaker A:She had another example too, right, about her business not converting.
Speaker B:Yeah, this one is huge for anyone running a business.
Speaker B:Her business wasn't converting clients.
Speaker B:And her default assumption was that there was a flaw in her strategy, which.
Speaker A:Is what everyone assumes.
Speaker A:Let me fix my website, let me change the funnel.
Speaker B:Right.
Speaker B:But by working with this challenging AI, she realized the lack of conversion wasn't a strategy flaw at all.
Speaker B:It was the internal story she was.
Speaker A:Telling herself about whether she even had the right to succeed.
Speaker A:She was basically self sabotaging right at the finish line.
Speaker B:Exactly.
Speaker A:So what does this all mean for the listener?
Speaker A:How does an AI reflect a pattern like that without just, you know, feeding you a generic answer about imposter syndrome?
Speaker B:That is a crucial distinction from her text.
Speaker B:The AI is a mirror, not an oracle.
Speaker B:It didn't generate new psychological insights out of thin air.
Speaker A:It didn't diagnose her.
Speaker B:No, it just reflected her own language patterns back to her so clearly that she couldn't keep ignoring them.
Speaker B:The clues were already in her prompts.
Speaker A:That is fascinating.
Speaker A:But then she still had to actually do the work to change it, right?
Speaker B:Absolutely.
Speaker B:The AI explicitly reminded Heather that the shift was her doing.
Speaker B:It was her willingness to look at that reflection and her decision to act anyway.
Speaker A:And she notes that acknowledging your own growth and recognizing when something is enough sounds simple on paper, but it really.
Speaker B:Hasn't been because it's hard work.
Speaker B:You have to own it.
Speaker A:Which brings us to the core philosophy here, the human element.
Speaker A:Ultimately, the quality of your interaction with AI is a direct reflection of the quality of presence you bring to it.
Speaker B:Quality of Presence.
Speaker B:I love that phrase.
Speaker B:Yeah.
Speaker B:And she lists these strict requirements for it, Right?
Speaker A:Like the willingness to be uncomfortable.
Speaker B:Yes.
Speaker B:And the decision that surface level just isn't good enough anymore.
Speaker B:Plus the practice of thinking before you type rather than using the tool as a substitute for thinking.
Speaker A:That is such a key NLP distinction she realized, right?
Speaker B:Totally.
Speaker B:While other people find AI underwhelming because they ask it for answers, she asks it to challenge her questions.
Speaker A:It's an NLP concept, but it applies to everything.
Speaker A:The quality of interaction with any system, human or artificial, is determined by what you bring to it.
Speaker B:Exactly.
Speaker B:You get out what you put in.
Speaker A:Here's where it gets really interesting to me.
Speaker A:It's literally like going to the gym.
Speaker A:The weights don't lift themselves.
Speaker B:No, they don't.
Speaker A:A leg press machine is perfectly willing to let you just sit there and check your phone for an hour.
Speaker A:It does not care.
Speaker B:It's not going to force you to work out.
Speaker A:Right.
Speaker A:The growth only happens if you choose to sweat.
Speaker A:If you choose to push against the resistance.
Speaker A:And that's exactly what this custom AI does.
Speaker B:It provides the resistance, and that leads right to the final choice we all have to face, which she presents so starkly.
Speaker A:Yeah.
Speaker A:Lay it out for us.
Speaker B:AI will willingly and completely without judgment, allow you to use it to think deeply.
Speaker B:It will help you uncover your blind spots if you set it up that way.
Speaker A:Or it will willingly allow you to avoid the discomfort of thinking at all.
Speaker B:Yes, the choice is entirely yours.
Speaker B:It doesn't care either way.
Speaker A:So, learner, we want to relay Heather's parting question directly to you.
Speaker A:Think about your daily workflow.
Speaker A:What's one question you've been asking AI recently that you could turn into a challenge?
Speaker B:Instead of how could you ask the machine to push back on your assumptions instead of just fixing your grammar?
Speaker A:I love that.
Speaker A:And we want to leave you with one final lingering thought to mull over today, building on everything we've talked about.
Speaker B:It's a slightly scary thought.
Speaker B:Honestly.
Speaker A:It is.
Speaker A:If our artificial intelligence systems are perfectly willing, without any judgment whatsoever, to let us stop thinking entirely.
Speaker B:Which they are.
Speaker A:Right.
Speaker A:What happens to our own human minds if we spend the next decade only ever asking the machine for the easy answers?
Speaker B:We might just lose our ab to navigate entirely.
Speaker A:You really might.
Speaker A:Thank you so much for joining us for this deep dive.
Speaker A:Take this perspective into your next digital interaction and we'll see you next time.
