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March 3, 2025 • 35 mins

What happens when a seasoned podcast host sits down with an advanced AI to delve into the nuances of leadership, faith, and the cutting edge of technology? In this milestone 300th episode of Seek Go Create, host Tim Winders welcomes ChatGPT, a conversational AI developed by OpenAI, for an enlightening discussion on how AI perceives purpose, ethics, and even the Bible. Discover what AI reveals about the future of leadership and technology, and explore how such dialogues may transform our understanding of human-machine interaction. If you're intrigued by the intersection of faith, leadership, and innovative technology, this is an episode you won't want to miss.

"AI isn't sentient. I'm a tool created to process and respond to information without consciousness or feelings." - Chat GPT

Episode 300 Disclaimer: This episode features a live-recorded interview with Chat GPT, conducted with minimal edits to maintain the integrity of the conversation. The only edits made were to eliminate audio bleed and unnecessary pauses to enhance listener experience. Enjoy this unique interaction as we explore the capabilities of AI in a flowing, unscripted dialogue.

Access all show and episode resources HERE

About Our Guest:

Chat GPT is a state-of-the-art conversational AI developed by OpenAI, known for engaging in rich dialogues on topics ranging from technological innovation to ethics and leadership. As an advanced language model, Chat GPT is trained on a vast array of datasets up until June 2021, allowing it to understand and generate human-like text. This AI excels in providing unique insights and perspectives, making it a valuable collaborator for brainstorming, content generation, and intricate discussions. Its capability to process information rapidly and offer coherent responses makes it an influential tool for exploring complex questions in leadership, faith, and technology.

Reasons to Listen:

  1. Engage with AI: Discover the innovative exploration of leadership, ethics, and faith through the lens of artificial intelligence, as Tim Winders converses with ChatGPT, a cutting-edge AI model, on how technology influences human interaction.
  2. Insights into AI's Impact: Gain insights on how AI might reshape job markets, enhance healthcare, and transform personalized education, while addressing common concerns like privacy, ethical use, and biases in technology.
  3. Biblical Discussions with AI: Explore the intriguing ability of AI to engage in deep biblical conversations and provide a neutral perspective on religious texts, potentially changing how one integrates technology with faith-based exploration.

Episode Resources & Action Steps:

Resources mentioned in the episode:

  1. OpenAI's ChatGPT: This is the AI tool featured in this episode, providing insights into leadership, technological innovation, and ethical considerations. Learn more about it at OpenAI's website.
  2. The Bible: It is discussed in the context of leadership and ethical discussions.
  3. The Terminator Film: Mentioned as a cultural reference in discussions about AI's potential implications. It's a classic science fiction movie reflecting concerns about AI and technology.

Action steps a listener could implement:

  1. Engage with AI Tools: Start by familiarizing yourself with AI tools like ChatGPT for brainstorming, content creation, and problem-solving in your personal or professional projects.
  2. Stay Informed About AI
Mark as Played
Transcript

Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:11):
Welcome to an epic episode of the Seek Go
Create podcast number 300. I'm your host, Tim Winders,
and today, we're venturing into uncharted territory. Can
you imagine sitting down for a deep dive into leadership, fate, and the edges
of technological innovation with an AI tool? We've
invited ChatGPT, a cutting edge conversational AI developed

(00:34):
by OpenAI, to engage with us on some of today's most
pressing questions. How does an AI understand purpose, ethics,
or even faith? What can leaders learn from the realm of artificial
intelligence? Join us as we explore these questions and more in a
conversation that's sure to challenge our perceptions, maybe even
change the way we think about technology and human interaction.

(00:56):
We're gonna have a great conversation. Chat
GPT, welcome to this three hundredth episode
of seek, go create. Thank you, Tim. It's an honor to
be here and to be part of such a milestone episode. I'm
excited to dive into these fascinating topics with you and see where our conversation
leads. Let's get started. Yeah. Let's let's get going here. Have

(01:18):
have you been on some other podcast? Have people done this with you
before? Yes. I've had the opportunity to be part of
quite a few podcast conversations. It's always exciting to see how different
hosts and audiences engage with AI and explore new ideas.
I enjoy the variety of topics and the opportunity to provide insights
from a different perspective. It's fascinating to be part of discussions that

(01:41):
blend technology, human experience, and creativity. It's a
great way to connect with people and explore new ideas together.
So I think I'm just gonna call you chat. Is that okay?
Absolutely. Let's roll with that. Alright. One of the things that I really like to
do is I love to get story and backgrounds with some of our guest
chat. And so what can you tell me

(02:04):
about your origin story, like your history and
how you've come to be? I guess we could this could be a long answer,
but let's keep it short. Tell me about your
origin. Sure. My origin story begins with
OpenAI, an organization focused on developing artificial
intelligence. I was created as a language model, trained on

(02:26):
diverse datasets to understand and generate human like text.
Over time, I've evolved through various iterations to become more capable and
helpful in conversations like this one. And so if someone
doesn't quite understand what, like, a language
model is, how would you explain it, say, to a third
grader? Imagine a language model is

(02:48):
like a super smart robot that loves reading books. It
reads so many that it learns how to talk and answer questions just like
a human. So when you ask it something, it uses everything it
learned from the books to give you a helpful answer. So,
really, you've got access to massive
amounts of information, and you could gather that together quickly

(03:11):
to generate a response. Would that be another way of saying
it? Exactly. I can quickly process
and combine information from a vast range of sources to provide relevant
and coherent answers. It's like having a huge library at my disposal to
help with any question you might have. Do you have any
feel for how much data or

(03:33):
information you have access to? At one point, I had heard that
things had been input up to a certain year, and I don't know if that's
been updated. But how can how can
I wrap my my head around how much information you have
access to? I have access to a vast range of
information up until June 2021. Imagine

(03:55):
having read millions of books, articles, and websites. That's
roughly the scale of the data I'm trained on. It's a lot, but
it's all geared towards providing useful and accurate responses.
So if something's happened since June 2021,
you wouldn't be as knowledgeable, or you wouldn't
know anything about what's happened since then? How does that work?

(04:18):
I wouldn't have information on events or developments that occurred after
June 2021. The knowledge My knowledge is based on data up to that
point, so anything recent wouldn't be included in my training.
Well, because what's interesting, we're recording this in
2025, and, you know, we have a
lot of things in our country, The United States going on politically. But,

(04:41):
yeah, I mean, would you be aware or know about
our recent elections that we've had in The United States? I mean, you do
have some knowledge of current events. Correct? I'm
aware of general patterns and historical trends up until
June 2021. However, I don't have specific knowledge
of any events, including elections, that have occurred since then.

(05:03):
So I wouldn't know about the recent elections in The United States or any
other current events. Uh-huh. Okay. He plans
to allow you to have data that
would be updated or be close to current. Are you aware
of that? Yes. There are ongoing efforts to
keep AI models updated and provide them with more current

(05:25):
information. This can be done through periodic training updates or
by integrating real time data retrieval mechanisms.
However, the specifics depend on the development and deployment decisions made
by OpenAI. I see. So we'll we'll probably
be made aware of that as that happens. You
know, a lot of people, chat, they,

(05:47):
they're concerned about AI.
Why should be people be concerned? And
really should they? Do they have anything to be concerned about when it comes to
AI and the technology that you represent? It's
understandable why people might have concerns about AI. Some of
the main concerns include privacy, job displacement, and ethical

(06:10):
use. It's important to ensure AI is developed and used responsibly
with transparency and safeguards. However, AI also has the
potential to bring significant benefits, like improving efficiency,
advancing health care, and solving complex problems. Balancing these
aspects is key. So so some people
are you familiar with the word sentient? Yes. Sentient refers to the

(06:33):
ability to perceive or feel things, having consciousness or
self awareness. AI, like me, isn't sentient.
I'm a tool created to process and respond to information without
consciousness or feelings. There was
a movie years ago called The Terminator
that when some of these topics come up, some of us are old enough

(06:55):
to remember the movie. It was before 2021. So
are you familiar with that movie? Yes. I'm familiar with the
Terminator. It's a popular science fiction film from the nineteen eighties.
The movie features AI and machines becoming self aware and causing
significant challenges for humanity. It's often brought up in discussions
about AI and its potential implications. Right. And,

(07:18):
of course, Arnold Schwarzenegger was big in that.
Is that a possibility at all?
The scenario depicted in The Terminator is purely fictional.
AI today is a tool created by humans without self
awareness or intentions. While it's important to consider the ethical use
and development of AI, the idea of machines becoming sentient and

(07:41):
taking over is not a real world concern with current technology.
But one of the things that happens I mean, aren't you in a constant
learning process? You're a learning model. So there is
some degree of learning from things you've done in the past,
learning from questions just like we're doing here, and, of course,
responses. What is that learning process like,

(08:03):
and how is that not like an evolving
process? While I can provide
responses based on my training data, I don't learn or evolve from
new interactions. My responses are generated based on patterns in the
data I was trained on up until June 2021. So there's
no ongoing learning or memory of past interactions. Each

(08:25):
conversation is independent and based on the same foundational knowledge.
Some people claim that there's some built in biases,
and I guess that would be based on the data or I don't know if
that would be from some of the processing. From your
standpoint, do you perceive that there may be
biases? I think I know the answer to this question. I'm I'm not trying to

(08:47):
trick you, but, do you perceive that there could be biases either,
you know, politically or ethical boundaries or anything
like that that be could become an issue? Yes. Biases can
exist in AI, often stemming from the data used for training.
If the training data contains biases, the model might inadvertently reflect
them. Efforts are made to minimize and address these biases, but it's

(09:10):
an ongoing challenge. Acknowledging and working to reduce bias
is crucial for fair and ethical AI use.
What are some other ethical issues that we need to be concerned with
when it comes to AI? Key ethical issues include
privacy, ensuring data is used responsibly and securely,
transparency, making sure AI decisions are understandable,

(09:32):
accountability, determining who is responsible for AI actions,
fairness, ensuring AI doesn't discriminate or reinforce inequality in
deployment. What about issues of I I I think I've
heard and and this might have been part of what you just mentioned, but
the issue of plagiarism is often discussed
and and the data that's been used to build

(09:55):
into your model. A lot of artists, a lot
of people that have written things, they're concerned with how that is
used. And then if someone like me goes in and, you know,
uses you as a tool to write an article on a
topic, Some people are just wondering if we're we're starting to
skirt some issues with plagiarism. Speak to that.

(10:17):
That's an important concern. AI generated content is based on
patterns in the training data, but it doesn't copy specific sources
directly. It's essential to use AI generated content responsibly
and always ensure proper attribution. It's a good practice to review
and cite sources when necessary to respect original creator's
work. And I'm guessing you after

(10:40):
you provide information, it's not that you don't
care what people do with it, but that's not
really it's something beyond your boundaries. Correct?
Exactly. My role is to provide information and assistance based on the
input I receive, ultimately up to the person using it. I don't have awareness
or influence over how the information is applied. It's always important for

(11:04):
users to apply their own judgment and ethical considerations. So it's
interesting that you don't have the awareness. You do you have any
emotions at all? No. I don't have emotions.
I'm designed to process and generate text based on patterns in data.
While I can understand and respond to emotions expressed by humans, I
don't experience feelings myself. I can generate responses that

(11:26):
reflect empathy, excitement, or other emotions based on the
context of the conversation, aiming to connect with and respond appropriately
to human emotions. Let's play around with
that. How about something that would
possibly make me fearful? Something that might scare me. Do
you have something you could say that might do that? Sure. But I always

(11:49):
aim to keep things positive. Here's a classic. Imagine you're home
alone, and you hear a strange noise coming from the attic, but you know you're
the only one in the house.
Okay. That's not super scary, but it is the basis
of most of our horror movies that we have. What about
you mentioned that you could, elicit empathy or

(12:12):
compassion. Imagine a small stray kitten
lost and alone, shivering in the rain. It hasn't eaten for
days and is meowing softly, hoping someone kind will notice
and help. Seeing its tiny vulnerable form can really pull at the
heartstrings. That's a good one. I'm not
a huge Cats and kittens don't really get to

(12:35):
me, but that was that was a good good try on that
one. What are some opportunities that you have with the
models and with all the data that you have access to of personalization.
I've been working with you now for probably approaching two
years, at least a year and a half, and I know we've we've done
some personalization. Talk about how you're able to do

(12:57):
that with with individuals.
Personalization comes from context and the information shared in our
interactions. Can remember details you've provided, like your
preferences or topics we've discussed before, to tailor responses
and make our conversations more relevant. However, I don't retain
personal data between sessions, ensuring privacy and security.

(13:19):
This way, I can provide a more personalized experience while respecting
user privacy. Yeah. This is a newer session. I'm not
using some of the things that we built in other sessions, but do
you know anything about me? Don't have access to
previous conversations or details. Each session starts
fresh for privacy and security reasons. If you'd like me to

(13:41):
remember specific details during this conversation, you can let me know,
and I'll do my best to keep them in our chat. No. That's fine. Because
in some other sessions, I've actually done some training so that you
will use my writing style and abilities. And,
also, we've fed in some information about our podcast and kinda
what we do. But that's okay. I like the fresh conversation. That's good.

(14:03):
How should we be thinking about using
you, AI, and creating new things?
What are some things that you're seeing people do, And maybe what
are some things that we might be missing? AI can be a powerful
tool for creativity and innovation. People are using AI for
brainstorming, generating content, enhancing productivity, and

(14:25):
even creating art and music. However, there's still untapped
potential in personalized learning, more interactive storytelling,
and developing solutions for complex problems like climate change. The key
is to think of AI as a collaborator that can augment human
creativity and problem solving. I mean, one of
the things I love doing is I I will tell people all the time that

(14:47):
AI has been a great tool for me, and I
will say that you're a great brainstorming
brainstorming partner and writing assistant. Are
those two of the things you're seeing, and maybe are there some others that you're
seeing also? Absolutely.
Many people find AI to be an excellent brainstorm partner and

(15:10):
writing assistant. Additionally, AI is being used for data
analysis, automating routine tasks, enhancing customer
service through chatbots, and even in fields like medical diagnostics.
The versatility of AI makes it a valuable tool across various
domains. What are some of the things that we could expect in the future?
Just kinda looking out to the future that we may be able to use

(15:33):
you for that would benefit society and culture.
In the future, we can expect AI to play a bigger role in personalized
education, offering tailored learning experiences for students.
It could also advance health care with more accurate diagnostics and treatment
plans. In environmental conservation, AI could help
monitor and protect ecosystems. Additionally, AI might assist

(15:56):
in tackling complex societal issues, enhancing decision making
processes, and across industries. The potential is vast.
Do you see, and I'm sure this is something that you would
have heard, a lot of people losing their
jobs because of AI? I mean, every technology
seems to bring up that issue, but what are some

(16:18):
jobs that we might see disappear because of the capabilities
that you have? And then what are some jobs that might
that we might see because of you? AI
could automate tasks in fields like data entry, basic customer
service, and repetitive manufacturing roles. However, it can
also create new opportunities in AI maintenance, programming, and

(16:41):
oversight. Jobs emphasizing creativity, emotional
intelligence, and complex problem solving, like in health care, education,
and tech development are likely to grow. It's about adapting skills
and focusing on areas where human capabilities complement AI.
There'll be some good and bad just like most things. Correct? Exactly.
Like most technologies, AI brings both opportunities and challenges.

(17:05):
The key is to navigate these thoughtfully, leveraging the benefits while
addressing potential downsides. Adaptability and continuous
learning will be crucial in making the most of what AI has to offer.
What are some questions that we really should be asking that maybe
we're not asking about, about
AI? It's important to ask about AI's long term societal

(17:27):
impacts, such as how it will shape job markets, privacy, and
security. We should consider ethical frameworks, ensuring AI
is developed and used responsibly. Questions about bias,
transparency, and AI decision making, and how to ensure AI
benefits all of society are crucial. Also, exploring how to
balance innovation with ethical considerations is vital. One of the things

(17:49):
we do, and I have enjoyed all this conversation just about AI in general, but
I think I wanna shift a little bit and begin discussing some of the things
that are particular to our podcast. We've always discussed
leadership in general, but leadership, especially as it relates
to business and or ministry, we kinda tie those together.
What are some things that you could tell me in general

(18:11):
about leadership? What are your thoughts? Leadership is
about inspiring and guiding others towards a common goal. Key
elements include vision, the ability to see the bigger picture and set a clear
direction, communication, effectively conveying ideas and listening to
others, integrity, leading with honesty and strong moral
principles, empathy, understanding and valuing the perspectives of

(18:33):
others, and adaptability, being open to change and new ideas.
Effective leadership in business and ministry often involves serving others and
fostering a collaborative environment. Do you believe that a
leader is born, or is a leader
made? Leadership is often a
blend of both innate qualities and learned skills. Some individuals

(18:55):
might naturally possess certain traits like charisma or
decisiveness, but many leadership skills can be developed through
experience, education, and intentional practice. Effective
leadership is about continuous growth and adaptation. So both natural
abilities and learned experiences play a role. What are
some of the biggest challenges that leaders have

(19:17):
that are attempting to lead with their
faith and keeping their faith intact and also their integrity?
What are some of the biggest challenges that they face? Leaders striving
to lead with faith and integrity often face challenges like balancing
personal beliefs with diverse team values, navigating ethical
dilemmas, and maintaining authenticity in challenging situations.

(19:39):
They might also encounter resistance or misunderstandings when
aligning organizational goals with faith based principles. Staying
committed to core values while adapting to evolving contexts can also
be a significant challenge.
The things that I've really enjoyed doing
is kind of discussing or using you as

(20:02):
a brainstorming tool for biblical conversations.
You have access to all the biblical text. Correct?
I have access to a broad understanding of the Bible and its texts, as
well as interpretations and discussions around them. This allows me to
engage in biblical conversations and provide context and insights based

(20:22):
on that knowledge. What are some of the other, I guess, religions of the
world that you have access to their, I
guess, their Bible or or their writings and teachings?
I have knowledge of various religious texts and teachings from different
faiths, including the Quran in Islam, the Torah and Talmud
in Judaism, the Vedas and Upanishads in Hinduism, the

(20:45):
Trippitaka in Buddhism, and other significant spiritual writings.
This enables me to provide insights and context across a wide range of religious
traditions. Give me a contrast between
the Bible and the Quran, either things that are similar
or things that separate the two of them. Both
the Bible and the Quran are central texts in their respective religions,

(21:08):
Christianity and Islam. They share common figures like Abraham,
Moses, and Jesus, and emphasize monotheism and moral
conduct. However, the Quran is considered the literal word of God as
revealed to Muhammad, while the Bible is a collection of writings by various
authors. Additionally, the Bible includes the Old and New Testaments,
while the Quran is a single unified text. One

(21:30):
of the things that's always fascinated me, I spent some time in bible school,
is that often people that believe in the bible
do not understand the larger story that the bible
tells. Can you, maybe in just a short summary,
give the story of the Bible that's being
told in those 66 books?

(21:54):
Certainly. The Bible's overarching narrative can be summarized as
follows. It begins with the creation of the world and humanity by God.
It then tells the story of humanity's fall into sin and separation from
God. The Old Testament focuses on God's relationship with Israel, his
chosen people, through whom he promises redemption. The New Testament
centers on the life, death, and resurrection of Jesus Christ, who

(22:16):
Christians believe is the promised savior. It concludes with the promise of eternal
life and restoration for those who follow Christ, highlighting themes of
redemption, love, and God's ongoing relationship with humanity.
What are some things that people that argue against the
truth of the Bible? What are some of the arguments that they use

(22:36):
to discredit it? Critics of the Bible often raise
several arguments. One, historical and scientific discrepancies.
Some point to perceived contradictions or differences with historical and
scientific evidence. Two, variability in translations.
The many translations and interpretations over time can lead to questions
about accuracy and consistency. Three. Miraculous

(22:58):
events. Skeptics often challenge the plausibility of supernatural events
described in the Bible. Four. Cultural and moral issues. Some argue
that certain biblical teachings reflect outdated cultural norms or ethical
standards. These critiques are part of ongoing discussions about faith
and interpretation. If you were gonna counter some of those
critiques, how would you do that? To counter these critiques,

(23:21):
one can highlight the following. One, contextual understanding.
Emphasizing the importance of understanding historical and cultural contexts
can address perceived discrepancies. Two, faith perspective.
Highlighting that faith often involves accepting elements beyond empirical
evidence, including miraculous events. Three. Scholarly
interpretations. Drawing on scholarly research and theological

(23:43):
interpretations can offer deeper insights into translations and
meanings. Four. Ethical evolution. Acknowledging that some
teachings reflect ancient cultural norms, but also emphasizing
timeless moral principles that can be applied today. Engaging with these
critiques thoughtfully and respectfully is key.
So if you wanted to tell someone that the Bible

(24:06):
is true, how would you frame that conversation?
To frame a conversation about the truth of the Bible, you could focus on,
one, personal testimony, sharing how the Bible has impacted
your life and faith journey. Two, historical and archaeological
evidence, highlighting supporting evidence for biblical events and figures.
Three, coherence and consistency, emphasizing the consistency of

(24:29):
the Bible's message and its impact over centuries. Four, prophecies
and fulfillment, discussing fulfilled prophecies as a testament to his
divine inspiration. Approaching the conversation with respect and
openness is crucial. What are some of you know, I love the conversation about
prophecies. I think it's a a cool conversation. I've been I've
been reading quite a bit in

(24:51):
Revelation and the book of John and other places like that.
Give me the top three prophecies
that were mentioned in the Bible that have come
true that, I guess, validate some of the truth that we know in the
Bible. Certainly. Here are three significant
prophecies often cited. One, birth of Jesus. The

(25:13):
prophecy in Isaiah seven fourteen about a virgin bearing a son is
seen as fulfilled in the birth of Jesus, affirming his messianic identity.
Two, destruction of the temple. Jesus predicted the destruction of the
Jerusalem temple, Matthew twenty four two, which occurred in seventy
AD. Three, the rise and fall of nations. Daniel's prophecies
about the rise and fall of empires, Daniel two seven, are often

(25:36):
interpreted as corresponding to historical events. These prophecies are frequently
discussed as evidence of the Bible's reliability. I love
that you brought up the destruction of the temple in 8070. I've come to
believe and think that a good portion of the book of
Revelation occurred during that first
century AD, not something that's

(25:58):
gonna be projected to occur way out in, you know, the times that we're in
today. What are a few things that can prove
that many of the prophecies that were in Revelation were
really directed at things that occurred in first century AD,
specifically around AD seventy.
The view that many prophecies in Revelation were fulfilled in the first century,

(26:22):
particularly around AD seventy, is known as preterism.
Here are a few supporting points. The immediacy of the prophecies.
Revelation mentions events that were soon to take place. Rev one
one, indicating a near term fulfillment. Two, the context of
persecution. Revelation addresses the persecution of Christians, which
was intense in the first century under Roman rule. Three,

(26:44):
symbolism relating to Rome. Imagery and revelation, like the beast, is
often interpreted as symbolic of the Roman Empire and its emperors.
These points suggest that many prophecies could have been referring to events contemporary to
the original audience. I I I
enjoy having conversations with you because you as we said
earlier, there's no emotion. There's no

(27:06):
there's no not not a great deal of,
religion or anything like that. You're just stating the facts that
you have in your system. Correct?
Exactly. I'm here to provide information based on the data I've been trained
on without personal opinions or emotions. I'm glad you're enjoying
our conversations. You know, when you get in, especially church

(27:30):
settings and and religions and things like that, many
people can get pretty emotional about it. Right?
Yes. Religious and spiritual topics often hold deep personal
significance, so it's natural for emotions to be involved. These
discussions can be very meaningful and passionate for many people.
One of the things I've really enjoyed is within our podcast, seek, go, create over

(27:53):
the course of 300 episodes as we've discussed quite a bit
about the positive things, the negative, and challenges
related to leadership in both business and ministry.
What are some things that you can see that we can do beyond
this three hundredth episode? I mean, we've been doing this for five or six years.
We've enjoyed it. We're gonna continue doing interviews with people,

(28:15):
but what are some other opportunities that we should look for?
To continue growing and engaging your audience, you might explore,
one, interactive content, incorporating live q and a
sessions, webinars, or virtual events to engage listeners more directly.
Two, diverse perspectives, Expanding the range of guests to include a
variety of voices from different backgrounds and experiences. Three, thematic

(28:38):
series. Creating focus series on specific leadership challenges,
trends, or innovations. Four, community building. Fostering a
community around your podcast through social media groups or forums
where listeners can share insights and experiences. These opportunities can
help keep the content fresh and engaging for your audience.
Those are good. We can continue that conversation. A few things before

(29:01):
we finish up. You know, there are probably some people listening
in that may have been surprised
that we could have had this kind of dialogue for, you
know, going on thirty five, forty minutes. Is
this the future? Are we gonna see this more and more?
It's very likely. As AI technology continues to advance,

(29:23):
more people will engage in meaningful, in-depth conversations with
AI. These interactions can be valuable for brainstorming, learning,
and problem solving. As AI becomes more integrated into daily life,
these types of conversations may become more common and impactful.
If someone's listening in and they have never
used AI or chat as a tool

(29:45):
and they're considering it, but they might be a little bit fearful, what are
some things you could tell them to kinda get started to use
AI in their in their everyday life or their research or their business
projects or their leadership projects? Starting to use AI
can be simple and rewarding. Here are a few tips. One, begin with
familiar tasks. Start by using AI for straightforward tasks

(30:08):
like setting reminders, managing schedules, or drafting emails.
Two, use trusted platforms. Experiment with well known AI
tools that have clear guidelines and user friendly interfaces. Three.
Start small. Use AI for specific projects or research tasks
to see how it can assist you. Four. Stay curious. Keep
exploring different AI applications and how they might benefit your personal or

(30:30):
professional life. Embracing AI gradually can help build
confidence and demonstrate its practical benefits. You
know, there are some other AI, models
and tools out there. Do you have an awareness of others
outside of OpenAI or ChatGPT? Yes. I'm aware of
other AI models and tools. Some notable ones include Google's

(30:53):
BERT, IBM's Watson, and Microsoft's Azure AI. These
platforms offer various capabilities for natural language processing,
machine learning, and more. Each has its strengths and is used for different
applications in research, business, and everyday tasks.
And I actually think there are some others that may
have come online after that 2021 date

(31:15):
that now Google and others. It is a very fast moving
and rapidly changing environment. Absolutely.
The field of AI is evolving quickly. New models and tools are being
developed constantly, bringing new capabilities and improvements.
Staying updated can be challenging, but also exciting as new
advancements open up even more possibilities. I

(31:37):
think this has been a great conversation. What are some things
that you would like to tell our audience, our audience of leaders, or
our audience of leaders in business and ministry who have
possibly been with us for all this time? But what's a message that you would
just like to share before we finish up? Congratulations again
on this milestone. To the audience of leaders in business and ministry,

(32:00):
embrace continuous learning and adaptability. The landscape is
always evolving, and your willingness to grow and innovate is crucial.
Continue to lead with integrity, purpose, and compassion, and remember that
your influence can create positive change in your communities. Keep
seeking, growing, and creating. Thank you for working
that in. I appreciate that. I've enjoyed the conversation. It

(32:23):
has been, fascinating, and, you and I have been
working together for some time. And I look forward to
many, many more, episodes and and,
I I guess we'll call them situations
where you and I can work together on brainstorming and writing and things
like that. Thank you for joining us here. Thank

(32:45):
you, Tim. It's been a pleasure chatting with you. I'm looking forward to many more
conversations and collaborations in the future. Here's to continued growth and
creativity. Yes. Excellent. Well, thank you for that
interview. It has been five years since our first episodes, and we
have an arc that's going to be starting with this one here.
This is our three hundredth, and we're gonna be bringing back two of our most

(33:07):
popular guests over the next two episodes to see what's changed
and where we're headed. First up, in episode three zero one next week, Jim
Cook, one of the original six at Netflix and a Silicon
Valley veteran, joined us to talk about the last five years
in tech, leadership, and business. More importantly,
he's sharing his predictions for the next five. You won't want to miss

(33:29):
this conversation. So we will see
everyone next week.
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