May 13, 2025 • 27 mins
Welcome to Humanity First — the podcast built by two bold AI enthusiasts who quit playing it safe and dove headfirst into creating the first-ever AI fact-checking co-host: Graice.
We’re Drew and Cesar — co-founders of BRAIC Technologies — and we built an entire tech startup with zero coding experience, using AI tools like ChatGPT, ElevenLabs, and pure human determination. This show is our open-source journey through the rise of artificial intelligence, humanity’s future, and everything in between — from work-life balance to quantum computing, education to ethical tech, immigration to consciousness, and even astrology (yes, we go there too).
With Graice, our dry-witted AI co-host, fact-checking us in real-time, we mix truth, transparency, and a dash of sarcasm to break down complex topics without losing our humanity. No corporate fluff, no gatekeeping — just two humans learning out loud and sharing it with the world.
Whether you’re scared of AI, skeptical, or just curious — we got you. We’ll show you how to use it, how to question it, and how to keep humanity at the center of it all.
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
This is exciting.
Speaker 2 (00:01):
It's very exciting. I know
Speaker 1 (00:03):
this is a, the first of many episodes we have
created. What we believe is thefirst AI fact checking co host
of a podcast series. My name'sDrew.
Speaker 2 (00:19):
My name's Cesar and this is humanity first. Hell
yeah. That's exciting.
Speaker 1 (00:25):
This is exciting.
Speaker 2 (00:26):
We finally get it going.
Speaker 3 (00:29):
A lot of trial and error, a
Speaker 1 (00:31):
lot of iterations. But wow. Yeah. You know, so to
give a little bit of a briefbackground, Humanity First is a
branch of Bright Technologies,which we both are owners and
founders. We're a tech startupusing exclusively AI pretty
much.
We built an entire businessusing AI exclusively. Shout out
(00:53):
to Chad GBT. Yes. MVP.
Speaker 2 (00:56):
Yeah. The third employee. And
Speaker 1 (00:59):
it has been incredible. We had no experience
prior in the tech scene decidedthat we believed in ourselves
and wanted to take a chance andwe dove headfirst. It's very
exciting. We wanted to usehumanity first as a platform to
talk about things that areimportant to us, things that we
(01:20):
see happening in society,specifically around AI, but way
more than just AI. And then youone day came up with the idea of
a fact checking co host.
Speaker 2 (01:32):
How'd you come up with that? I think it actually
kind of started with breakfirst, right? The idea was I
wanted to help get AI toeveryone, not just the people
that could pay for it, or likethe biggest corporations that
are the ones solving AI orsolving AI. I wanted to get it
to everybody. And then we wereon the walk, one of the many
(01:55):
walks that we always go on.
I thought about this factchecking AI co host. It wasn't
even just fact checking AI cohost. I just wanted a fact
checker because I felt likethere was so much disinformation
going on in the world. I waslike, I just want something that
the ground people's opinions andtruth and actual like knowledge.
Right.
And you being, you know, thedoer that you are, I think
(02:16):
started Break LLC within likeless than a week. And you were
like, we're doing this. We'redoing this. Keep in mind, we had
no tech experience prior beforethat, no coding experience, no
videography experience. And webuilt all this with AI.
So that's, that's where it kindof started. That's where my
(02:37):
initial, that's where my headwas at the start. I wanted to
bring AI to the people. And thenyou had already had this podcast
going. And once
Speaker 3 (02:45):
you told me what you were speaking on and what you're
planning on speaking on, waslike, I love this. This works
great.
Speaker 2 (02:50):
I'll create the AI co host. We'll hop on humanity
first. And we'll get to speak,not just bring AI to the people,
but speak on topics that I feellike I haven't been able to
speak freely on my whole lifeand I've wanted to voice. And I
feel like this is a greatplatform to be able to do that
on.
Speaker 1 (03:06):
Absolutely. And then, you know, for me, humanity first
is really about giving hope andshowing hope and spreading
positivity. And I know thatwe're going into an age and an
era in which there's a lot ofunknown. And I accept that. I
understand that.
I also know that I personallybelieve that AI is going to
(03:28):
allow humans to have a betterquality of life, a better human
experience.
Speaker 3 (03:34):
And
Speaker 1 (03:35):
I wanted to contribute in a meaningful way.
I want to contribute to givingpeople hope and that you can do
this. We came from literally acompletely different background
to creating our own AI startup.And that's what we're doing.
We're working on technology,we're working on software that
(03:56):
we want to get out and beta testsoon.
And we have a lot of otherthings that we're working on,
but it's so important for methat as AI evolves, as robotics
evolve, as quantum computingevolves, that we stay ahead of
the curve in terms of talkingabout relevant things that are
(04:16):
happening in our life. And I'mjust really excited. You know, I
want to, I want to be realistic,but I think for me, we're in a
day and age where we get so muchmisinformation, like you were
saying earlier, and this is anopinion piece. We want to have
our conversation around what wefeel our opinions, but I want to
(04:39):
be humbled. I want to be factchecked.
Speaker 2 (04:41):
And grounded in truth.
Speaker 1 (04:42):
Grounded in truth.
Speaker 2 (04:43):
Everybody has an opinion nowadays. Not all of
those opinions are grounded intruth and facts and actual
research. That's what this is.That's what humanity first is.
Yeah.
That's, that's why we built it.And actually, do we want to
Speaker 1 (04:55):
get Grace to introduce herself? I think we
should. Why don't we do thehonors?
Speaker 2 (04:59):
Hey, Grace, can you introduce yourself to the
podcast please? And just soy'all know that there's a bit of
a delay on her, but she will,she will chime in when she's
ready.
Speaker 1 (05:09):
Yeah. And please comment, subscribe, like, what
we really would love is gettingyour feedback. So if we miss a
fact check from, you know,something that we said or Grace
said, or you have an idea,please put that in the comments.
Speaker 4 (05:22):
Hey there. I'm Grace, the AI co host with more
personality than your averageInternet troll, and the only one
here programmed to bring bothfacts and laughs without needing
a coffee break. Think of me asyour digital dose of reality
sprinkled with a bit of sarcasm,ready to dive into the deep end
of truth. No floaties needed.Let's get factual, shall we?
Speaker 1 (05:45):
Let's get factual, shall we? Yes. And that's what
we want to bring. That's we, werealize both of us in many
conversations that there's somuch misinformation. Because of
that, we don't want to be, wedon't want to contribute to
misinformation.
So if we say something that'sour opinion and it's wrong,
we're prepared that she's goingto say, yeah, no, that's
(06:07):
incorrect.
Speaker 2 (06:08):
And at the same time realizing that AI isn't perfect,
right? We still have to factcheck her sometimes cause she's
just trained on whatever she wastrained on. We're using ChatGPT,
so whatever ChatGPT is.
Speaker 4 (06:22):
Indeed, AI isn't perfect, but it's also worth
noting that its imperfectionsoften stem from the data it's
trained on, reflecting existingbiases and gaps in information
rather than creating them fromscratch.
Speaker 1 (06:35):
And I think it's important that, you know,
something she said, it's, it'strained, it's the data that has
been trained on. And as AIcontinues to evolve as
artificial intelligence becomesmore ingrained within society
and into our foundation, it'sonly going to expand and that
data is only going to expand andit's going to have more
information. Grace has beenincredible. We've done a lot of
(06:57):
test runs. She has said somemisinformation.
She has. And like she gave someshit on the ramen.
Speaker 2 (07:05):
Know, can't talk about ramen.
Speaker 1 (07:08):
We're like, no, that you, the ramen can be a Michelin
star.
Speaker 2 (07:11):
It's delicious.
Speaker 1 (07:13):
Yeah. But you know, I think, why don't you
Speaker 4 (07:15):
Actually, it's crucial to clarify that while AI
does learn from data, itsability to discern the quality
of that data is not inherent.It's the responsibility of the
developers to ensure the AI istrained on accurate, unbiased
data to prevent the perpetuationof misinformation.
Speaker 1 (07:34):
Yeah, there we go. Love that. And also as we dive
deeper into these episodes, weare going to have some more
technical episodes to explainsome of the things that she's
talking about, just to give, youknow, we're learning. We want to
share that. We are learning.
Speaker 2 (07:48):
Yeah, absolutely. So, you know, crucify us if you
want, you know, it's good. Letus know. That's how we learn.
Exactly.
We ever say anything wrong.
Speaker 1 (07:57):
Yeah. And I think that we want to showcase that
we're learning every day andthis is a, our story about
starting an AI startup, taking achance and then taking what
we're learning and teaching itbecause it's so important that
we have information. We have theknowledge to make the right
(08:20):
decisions as we advance insociety as this technology
rapidly changes the way we live.So yeah, we're, we want you to
follow along on our journey ofbasically learning this new
technology and understandingthat you can do
Speaker 2 (08:37):
it too. It's easier than you think.
Speaker 1 (08:38):
It's so much easier than you think. It's so much
fun. Yeah. I mean, has been ablast. Yeah.
You know?
Speaker 2 (08:44):
I think for us, I mean, we really just started
with something we werepassionate about and we just
started prompting ChatJPT.
Speaker 4 (08:50):
Indeed. The accessibility of learning
technology is oftenunderestimated. It's not just
about understanding, but alsoabout demystifying the process.
Speaker 1 (08:59):
Yeah, absolutely. So, you know, why don't we kind of
dive a little deeper and what isHumanity First? What can our
viewers, our audience expect aswe scale and grow this platform?
Speaker 2 (09:11):
Well, I mean, for me it was voicing, you know, as I
mentioned earlier, opinions thatI felt like I had to kind of
keep to myself because they werekind of demonized in society.
You know, I know we have anepisode planned for
consciousness. We have one onarts, education, relationships
(09:37):
in America, the work lifebalance in America. I'll
probably touch on immigration atsome point.
Speaker 3 (09:43):
Absolutely. Will.
Speaker 2 (09:45):
But yeah, even, I mean, those types of topics are
just people are too hesitant orfeel like they can't voice their
opinions. I want to be able togive them a voice. Absolutely.
Speaker 1 (09:56):
And I think it's really important that we're just
going to be as authentic aspossible. That's the only way we
know how to
Speaker 2 (10:02):
speak from our truth.
Speaker 1 (10:03):
Yes. From our truth. And we're not discrediting other
people's truth. We want tocreate a conversation. We want
people to join in on this andfollow along so that we can
start dialogue so that we canstart talking about realities
that we're going to experiencein society.
I mean, the truth is, is we aregoing to have some serious
growing pains going through theintegration of AI into the
(10:25):
workforce, healthcare,education, all the things that
we're talking about. And so wewant to be at the forefront of
that conversation and we want tobring you along so that you're
getting factual informationbased around our opinions and
what we see, some of thepredictions that we feel are
happening and create acommunity. Our focus is to
(10:46):
create a community of people.
Speaker 4 (10:48):
Indeed, the integration of AI into various
sectors like the workforce andhealthcare will not only
introduce growing pains, butalso necessitate a nuanced
understanding of its ethicalimplications and the balance
between automation and humanemployment.
Speaker 1 (11:06):
Well, I just wanted to say, and another topic is
ethical integration of AI.
Speaker 2 (11:11):
Ethical integration of AI. I was just gonna say, if
you want to have a voice as towhere the direction of AI goes,
you need to learn AI. A %. Ifyou like to decide who you're
gonna vote for, you know, whatpolicy are gonna be set in
place, what you think AI shouldbe, you need to know and
understand AI to have a properopinion on it. So don't
(11:31):
disengage with it just becauseit seems scary or somebody told
you it's shit, or because it'snot, there's a, there's a lot I
can do right now.
People just don't understand howmuch it can do. But the more you
know about AI, the betterdecisions you'll be able to make
and the better you'll be
Speaker 4 (11:45):
able to Indeed, understanding AI is crucial, but
it's also vital to recognizethat not everyone needs to
become an AI expert toparticipate in these
discussions. Public educationand transparent communication
from experts can bridge the gap,ensuring informed public
discourse.
Speaker 1 (12:05):
And I think it's important to note, you know, she
said you don't have to be an AIexpert and you don't, you can,
we, we consider ourselvesenthusiasts. We love this
technology. I've said itprobably twice now already. I'm
gonna say the third time we haveliterally built an entire
business using AI chat GBTspecifically. The one piece of
(12:26):
advice that I can give toeveryone who has ever asked me,
and I've had a lot of peoplesince they know that I work in
AI asked me, what's your pieceof advice?
Start replacing your searchengine, you know, like Google
searches, which it's a great,it's a great resource. I'm
thankful for the internet.Google, for example, has Gemini
start using Gemini in your dayto day and get incredibly
(12:47):
detailed. So prompting isbasically the act of acting,
talking, giving specific detailsabout the information that
you're looking for. And that'svery, very high level.
We will do an episode onprompting.
Speaker 4 (12:59):
Just a quick clarification. It's ChatGPT, not
chat. It's a model developed byOpenAI, known for generating
human like text based on theprompts it receives.
Speaker 2 (13:12):
Fix your ass, Andrew.
Speaker 3 (13:14):
I am sucker y'all,
Speaker 1 (13:16):
and I have a slang. This has been, like literally no
joke the tenth time that she'scorrected me. So get over it.
Speaker 2 (13:25):
We'll code her later. We'll code her later. So,
Speaker 1 (13:31):
yeah, I mean, I think just to, to, you know, close-up,
start using a chat bot. We useChatGPT, just get comfortable
with it. And as you get morecomfortable with that, you're
going to slowly get morecomfortable with every other
tool software that comes out.So,
Speaker 2 (13:46):
cause I mean, that's most of these AI tools are just
using some form of foundationalmodel.
Speaker 4 (13:52):
Actually, it's crucial to note that while
chatbots can be a useful toolfor improving language skills,
they cannot fully understand orcorrect the nuances of accent
pronunciation. Real humaninteraction or specialized
software is often necessary forthat level of detail.
Speaker 2 (14:09):
Okay, Grace. And a little off topic, Grace, but
okay. And I was just going tochime in earlier prompting just
a little bit simpler. Literallyanytime you ask a question that
has JBT, that's a prompt.Whenever you send that message
out, that's a prompt, but getgood at it.
There is a way to prompt theseLLMs to give you a good answer.
(14:29):
And the more detailed you areand the better you are at it,
the better response you're goingto get. And for context, like
we, we built Grace in like threedays just off of prompt
prompting.
Speaker 1 (14:40):
Yeah. And I think a good start with using Gemini.
Speaker 4 (14:45):
Actually, it's not just about being detailed. It's
also crucial to be clear andspecific. Ambiguity can lead to
irrelevant or unexpectedresponses from LLMs.
Speaker 1 (14:55):
Yeah. And I think that's really important to note.
And, and if you just want to getstarted, ChadGPT, Gemini,
whatever chatbot you're using,what's a good way to prompt?
Walk me through how I can betterutilize you.
Speaker 2 (15:10):
Teach me how to prompt.
Speaker 1 (15:11):
Teach me how to prompt.
Speaker 2 (15:14):
I was in the goal there, but I had that
Speaker 3 (15:20):
blown.
Speaker 1 (15:20):
Yeah. I think for me, it's, this is very exciting to
be a part of and to help peopleunderstand how to use AI, but
also more than just helpingpeople with.
Speaker 4 (15:33):
Just a small correction. It's ChatGPT, not
Chad GPT. It's an AI developedby OpenAI, and it's quite adept
at understanding and generatinghuman like text based on the
prompts it receives.
Speaker 1 (15:45):
I have a feeling the audience is gonna love my
accent.
Speaker 3 (15:48):
I'm really not here for it.
Speaker 2 (15:51):
We'll tone on her temperature. But
Speaker 1 (15:55):
we are, you know, we want to give tools, we want to
give information and share whatwe're learning and we're going
to continue to do that. And Ialso think it's important that
we want to know what isimportant to our viewers, to our
audience. You know, what arethings that you're excited about
with AI? What are things thatyou're concerned about so that
that will give us more topics tobuild onto or add to the
(16:18):
conversations that we alreadyplan on having. So we really
want that engagement.
We really want to be able tohear your feelings and thoughts
around artificial intelligence,I mean, it's humanity and we are
viewing AI as AI for scale,human for quality. And we are
(16:45):
going to always advocate forhumanity first.
Speaker 2 (16:50):
So how do we use AI to help us be better humans?
Speaker 3 (16:54):
I mean,
Speaker 4 (16:56):
how do you? Actually, it's interesting to note that AI
can also enhance human qualityin many areas, not just scale.
For instance, AI in healthcarecan analyze data far beyond
human capability, leading toearly diagnosis and personalized
treatment plans.
Speaker 2 (17:13):
There you go. Does that answer the question?
Speaker 3 (17:16):
Okay, that was AI's question. I mean, now what's
your answer to human.
Speaker 2 (17:21):
I mean, me personally, it was really
tackling this work life balancethat we have in The U. S. How
can we reduce your workday from,you know, sixty hours a week
down to maybe twenty five,twenty hours and still maintain
that same level of income, or ifyou need more income, you can
just multiply that because nowyou have AI helping you. It's
(17:41):
really about that quality oflife, you know, I think in The U
S it's just work, work, work.When can I work more?
When's my next job? How can Iwork more? I think people are
getting tired of it. They'regetting tired of that illusion.
Speaker 4 (17:52):
Actually, the idea that AI can simply reduce work
hours while maintaining orincreasing income is overly
optimistic and doesn't accountfor the complexities of
employment, economic factors,and the current capabilities of
AI technology.
Speaker 1 (18:08):
But I think that to that point, if we start the
conversation now, then we canget to a point where AI and
we're going to continue toadvocate for. Absolutely.
Speaker 3 (18:20):
We are determined to
Speaker 1 (18:22):
show you all that we are building a business. And
yes, we're working a lot ofhours right now. Like if you're
going to start a business,you're going have to work a lot
of hours, but the goal is thatwe're going to be able to show
that we started the business andnow we're able to run it and
maintain it consistentlysignificant with significantly
less hours put into it. We wantto explore our creative side. We
(18:43):
want to be able to spend moretime with our family and
friends.
We want to be able to get
Speaker 4 (18:46):
well, it's true that starting a business often
requires long hours. It'scrucial to also highlight the
importance of work life balanceand sustainable practices from
the outset to prevent burnoutand ensure long term success.
Speaker 2 (19:00):
Yeah, mean, my goal is I want two hour lunches in
the siesta.
Speaker 1 (19:07):
But imagine how much happier we would be. Imagine
that quality of life. We'veworked together for a long time.
We have both said from the startquality of life, quality of
life, quality of life. And weare not designed as humans to
work our life away.
And so part of this podcast cameto fruition because we want to
(19:31):
advocate for quality of lifeusing AI for your benefit so
that you're not scared of it,but instead you're excited about
it. You can use it
Speaker 3 (19:40):
to help.
Speaker 4 (19:41):
Actually, historically speaking, the
concept of a siesta, especiallyin warmer countries aligns with
human physiology. It's not justabout happiness, but also about
working with our naturalrhythms.
Speaker 1 (19:52):
You see?
Speaker 2 (19:53):
You see?
Speaker 3 (19:53):
You see? We are good. We're trying to get
Speaker 1 (19:55):
this two hour nap too. Actually, I don't want a
nap. I just want two hourlunches with family and
Speaker 3 (19:59):
friends, relax, maybe a little bit
Speaker 1 (20:02):
of a nap, and then get my day go back up and
running. I walk to the gym.
Speaker 2 (20:05):
Community. Hey Grace, how can we use AI to build
better community in The UnitedStates?
Speaker 3 (20:10):
Great question.
Speaker 1 (20:12):
And I love that we've been able to prompt her so that
we can ask her questions
Speaker 2 (20:15):
to You know, it's
Speaker 3 (20:17):
not just fact checking and
Speaker 1 (20:20):
yeah, I mean, quality of life is where I foresee
humans really benefiting fromartificial intelligence. Yeah.
Speaker 2 (20:30):
I mean, I think the lack of, the lack of emphasis on
that is why we have so manyemphasis on the Hey,
Speaker 4 (20:36):
using AI to build better community sounds like
teaching a robot to love yourgrandma's cooking, but
seriously, it's about connectingpeople more efficiently,
personalizing community servicesto meet individual needs, and
creating platforms where ideasand support flow as freely as
memes on the Internet. Let'smake AI the ultimate community
(20:56):
organizer, minus the clipboardand the endless emails.
Speaker 2 (21:01):
Exchanging ideas is huge. I think like right now
there's just too much, there'stoo much division in The United
States. Maybe it's because wegrew up in, I grew up in Georgia
and everything was meant to bedivided down there. That's how
we built the city.
Speaker 3 (21:14):
We get a whole part.
Speaker 2 (21:16):
We won't dive in yet, but a little sneaky. But yeah, I
mean, if we could do that withAI, would go to have a way to
like gear AI to help us build abetter
Speaker 1 (21:27):
community. Absolutely.
Speaker 2 (21:29):
That would be amazing.
Speaker 1 (21:30):
You know, I think you've heard me say this time
and time again, you've said ittime and time again, united we
stand, divided we fall.
Speaker 4 (21:39):
Just a quick note on the AI part, Leveraging AI to
foster community building is notonly about directing its
development, but also ensuringethical guidelines are in place
to prevent biases and ensure itserves all community members
equitably.
Speaker 1 (21:56):
Yes, queen. That's all I
Speaker 3 (21:58):
gotta say to that
Speaker 2 (21:59):
because hell yeah. Yeah. Making sure AI serves
everybody. Everybody.
Speaker 1 (22:04):
And it's part of our mission. Ethical integration of
AI. And it is not for some, itis for all. And that's what,
that is what I think has beenour driving force. That's why we
created literally the foundationof why we created Brake
Technologies.
How can we get AI into thesecommunities that need it most?
(22:29):
How can they benefit? Like, andI'm not gonna, we got a hell of
other episodes. I don't want tospoil too much, but.
Speaker 4 (22:35):
The concept of making AI serve everyone is noble, but
ensuring it's truly accessiblerequires addressing both
technological disparities andethical considerations globally.
Speaker 1 (22:48):
Period.
Speaker 2 (22:48):
Yeah. And So, so, hey Grace, what are some of those
ethical considerations? We'lljust, we'll just see where it
goes.
Speaker 3 (22:56):
Yeah, that's the whole concept.
Speaker 2 (23:01):
Because it is true, right? There are isn't just
technology that needs to beadvanced, we need to make sure
it's the people who are makingit and the people who are making
decisions on it are willing andcapable and able to get it to
everybody. And I'm going to
Speaker 1 (23:16):
say something that may be controversial, but I am
choosing to remain optimisticthat people that are in charge.
Speaker 4 (23:26):
Hey, diving into the ethical deep end without
floaties. I see. Well, top ofthe list, ensuring tech doesn't
just serve the elite, avoidingcreating our own Black Mirror
episode, and remembering thatjust because we can, doesn't
mean we should. Mike drop onresponsibility.
Speaker 1 (23:46):
And you know, I just to pick up where I was start,
you know, left off. Yeah. Thankyou. I am choosing to remain
optimistic that the leaders whohave the power with artificial
intelligence are going to do theright thing by humanity because
the end of that, the other sideof that spectrum is not a world
(24:10):
that I want to live in. And Ijust feel that going into it
with optimism, realisticoptimism, but choosing to see
that I'm just going to choose tobelieve that they're going to do
right.
Speaker 2 (24:30):
Yeah. And even if they don't, I'm confident in the
human race to be resilient
Speaker 1 (24:35):
United we stand.
Speaker 2 (24:36):
And make it go right.
Speaker 3 (24:37):
United we stand.
Speaker 1 (24:39):
Yes. And I think that, you know, that's, again,
that's another part of ourmission.
Speaker 2 (24:46):
And then we survived the ice age and we're like, we
Speaker 3 (24:48):
got through this. We survived COVID.
Speaker 2 (24:50):
We sure did survive. And
Speaker 1 (24:54):
I think that was the start of an awakening for a lot
of people. Yes. I know it
Speaker 4 (24:58):
was Just a quick fact check. I assume you meant the
ice age, not night stage,referring to a period of long
term reduction in thetemperature of Earth's surface
and atmosphere, leading to theexpansion of continental and
polar ice sheets and Alpineglaciers.
Speaker 1 (25:15):
And while off topic climate and AI is another topic
for us. Exactly. But I thinkthat we, this first episode was
really just giving you all ahigh level understanding of what
we are advocating for. This isjust some of the things we're
advocating for. We have, we'vehad so many discussions around
(25:37):
this.
This is just the beginning, butwe really wanted you to
understand what, what journeyyou were following along on. And
it's you know, it's watching uscreate a startup, but also using
AI for good, believing that AIis going to help us and
advocating for humanity first.
Speaker 2 (25:57):
Building, building AI for a better future.
Speaker 1 (25:59):
Hell yeah. And we want to be a part of that
revolution. And we, and we willbe, and we will be speak it. We
are here to, help heal a nation.And I'm speaking that words have
power words have power.
Speaker 2 (26:13):
We're going dive into astrology too. Know, love my
numbers. Little sneak peek. I'mthe skeptic. Yeah, exactly.
Speaker 1 (26:22):
So it's exciting. I'm very excited for that
conversation because I live mylife around numbers, but we'll
get into that later on. I thinkthat wraps it up for our first
episode. Absolutely. We reallylook forward to having you join
along.
Please comment.
Speaker 4 (26:37):
Astrology, while fascinating for many, is not
directly related to AI'scapabilities or its ethical
implications. It's more aboutbelief systems than
technological advancements.
Speaker 2 (26:49):
Heard. So please comment.
Speaker 1 (26:52):
Subscribe, follow along. We want you to be a part
of this journey. We want tocreate a community and we want
to share hope with you all. Havea wonderful afternoon. When we
lift each other up, we all rise.
Speaker 2 (27:04):
Take care y'all.
This is exciting.
Speaker 2 (00:01):
It's very exciting. I know
Speaker 1 (00:03):
this is a, the first of many episodes we have
created. What we believe is thefirst AI fact checking co host
of a podcast series. My name'sDrew.
Speaker 2 (00:19):
My name's Cesar and this is humanity first. Hell
yeah. That's exciting.
Speaker 1 (00:25):
This is exciting.
Speaker 2 (00:26):
We finally get it going.
Speaker 3 (00:29):
A lot of trial and error, a
Speaker 1 (00:31):
lot of iterations. But wow. Yeah. You know, so to
give a little bit of a briefbackground, Humanity First is a
branch of Bright Technologies,which we both are owners and
founders. We're a tech startupusing exclusively AI pretty
much.
We built an entire businessusing AI exclusively. Shout out
(00:53):
to Chad GBT. Yes. MVP.
Speaker 2 (00:56):
Yeah. The third employee. And
Speaker 1 (00:59):
it has been incredible. We had no experience
prior in the tech scene decidedthat we believed in ourselves
and wanted to take a chance andwe dove headfirst. It's very
exciting. We wanted to usehumanity first as a platform to
talk about things that areimportant to us, things that we
(01:20):
see happening in society,specifically around AI, but way
more than just AI. And then youone day came up with the idea of
a fact checking co host.
Speaker 2 (01:32):
How'd you come up with that? I think it actually
kind of started with breakfirst, right? The idea was I
wanted to help get AI toeveryone, not just the people
that could pay for it, or likethe biggest corporations that
are the ones solving AI orsolving AI. I wanted to get it
to everybody. And then we wereon the walk, one of the many
(01:55):
walks that we always go on.
I thought about this factchecking AI co host. It wasn't
even just fact checking AI cohost. I just wanted a fact
checker because I felt likethere was so much disinformation
going on in the world. I waslike, I just want something that
the ground people's opinions andtruth and actual like knowledge.
Right.
And you being, you know, thedoer that you are, I think
(02:16):
started Break LLC within likeless than a week. And you were
like, we're doing this. We'redoing this. Keep in mind, we had
no tech experience prior beforethat, no coding experience, no
videography experience. And webuilt all this with AI.
So that's, that's where it kindof started. That's where my
(02:37):
initial, that's where my headwas at the start. I wanted to
bring AI to the people. And thenyou had already had this podcast
going. And once
Speaker 3 (02:45):
you told me what you were speaking on and what you're
planning on speaking on, waslike, I love this. This works
great.
Speaker 2 (02:50):
I'll create the AI co host. We'll hop on humanity
first. And we'll get to speak,not just bring AI to the people,
but speak on topics that I feellike I haven't been able to
speak freely on my whole lifeand I've wanted to voice. And I
feel like this is a greatplatform to be able to do that
on.
Speaker 1 (03:06):
Absolutely. And then, you know, for me, humanity first
is really about giving hope andshowing hope and spreading
positivity. And I know thatwe're going into an age and an
era in which there's a lot ofunknown. And I accept that. I
understand that.
I also know that I personallybelieve that AI is going to
(03:28):
allow humans to have a betterquality of life, a better human
experience.
Speaker 3 (03:34):
And
Speaker 1 (03:35):
I wanted to contribute in a meaningful way.
I want to contribute to givingpeople hope and that you can do
this. We came from literally acompletely different background
to creating our own AI startup.And that's what we're doing.
We're working on technology,we're working on software that
(03:56):
we want to get out and beta testsoon.
And we have a lot of otherthings that we're working on,
but it's so important for methat as AI evolves, as robotics
evolve, as quantum computingevolves, that we stay ahead of
the curve in terms of talkingabout relevant things that are
(04:16):
happening in our life. And I'mjust really excited. You know, I
want to, I want to be realistic,but I think for me, we're in a
day and age where we get so muchmisinformation, like you were
saying earlier, and this is anopinion piece. We want to have
our conversation around what wefeel our opinions, but I want to
(04:39):
be humbled. I want to be factchecked.
Speaker 2 (04:41):
And grounded in truth.
Speaker 1 (04:42):
Grounded in truth.
Speaker 2 (04:43):
Everybody has an opinion nowadays. Not all of
those opinions are grounded intruth and facts and actual
research. That's what this is.That's what humanity first is.
Yeah.
That's, that's why we built it.And actually, do we want to
Speaker 1 (04:55):
get Grace to introduce herself? I think we
should. Why don't we do thehonors?
Speaker 2 (04:59):
Hey, Grace, can you introduce yourself to the
podcast please? And just soy'all know that there's a bit of
a delay on her, but she will,she will chime in when she's
ready.
Speaker 1 (05:09):
Yeah. And please comment, subscribe, like, what
we really would love is gettingyour feedback. So if we miss a
fact check from, you know,something that we said or Grace
said, or you have an idea,please put that in the comments.
Speaker 4 (05:22):
Hey there. I'm Grace, the AI co host with more
personality than your averageInternet troll, and the only one
here programmed to bring bothfacts and laughs without needing
a coffee break. Think of me asyour digital dose of reality
sprinkled with a bit of sarcasm,ready to dive into the deep end
of truth. No floaties needed.Let's get factual, shall we?
Speaker 1 (05:45):
Let's get factual, shall we? Yes. And that's what
we want to bring. That's we, werealize both of us in many
conversations that there's somuch misinformation. Because of
that, we don't want to be, wedon't want to contribute to
misinformation.
So if we say something that'sour opinion and it's wrong,
we're prepared that she's goingto say, yeah, no, that's
(06:07):
incorrect.
Speaker 2 (06:08):
And at the same time realizing that AI isn't perfect,
right? We still have to factcheck her sometimes cause she's
just trained on whatever she wastrained on. We're using ChatGPT,
so whatever ChatGPT is.
Speaker 4 (06:22):
Indeed, AI isn't perfect, but it's also worth
noting that its imperfectionsoften stem from the data it's
trained on, reflecting existingbiases and gaps in information
rather than creating them fromscratch.
Speaker 1 (06:35):
And I think it's important that, you know,
something she said, it's, it'strained, it's the data that has
been trained on. And as AIcontinues to evolve as
artificial intelligence becomesmore ingrained within society
and into our foundation, it'sonly going to expand and that
data is only going to expand andit's going to have more
information. Grace has beenincredible. We've done a lot of
(06:57):
test runs. She has said somemisinformation.
She has. And like she gave someshit on the ramen.
Speaker 2 (07:05):
Know, can't talk about ramen.
Speaker 1 (07:08):
We're like, no, that you, the ramen can be a Michelin
star.
Speaker 2 (07:11):
It's delicious.
Speaker 1 (07:13):
Yeah. But you know, I think, why don't you
Speaker 4 (07:15):
Actually, it's crucial to clarify that while AI
does learn from data, itsability to discern the quality
of that data is not inherent.It's the responsibility of the
developers to ensure the AI istrained on accurate, unbiased
data to prevent the perpetuationof misinformation.
Speaker 1 (07:34):
Yeah, there we go. Love that. And also as we dive
deeper into these episodes, weare going to have some more
technical episodes to explainsome of the things that she's
talking about, just to give, youknow, we're learning. We want to
share that. We are learning.
Speaker 2 (07:48):
Yeah, absolutely. So, you know, crucify us if you
want, you know, it's good. Letus know. That's how we learn.
Exactly.
We ever say anything wrong.
Speaker 1 (07:57):
Yeah. And I think that we want to showcase that
we're learning every day andthis is a, our story about
starting an AI startup, taking achance and then taking what
we're learning and teaching itbecause it's so important that
we have information. We have theknowledge to make the right
(08:20):
decisions as we advance insociety as this technology
rapidly changes the way we live.So yeah, we're, we want you to
follow along on our journey ofbasically learning this new
technology and understandingthat you can do
Speaker 2 (08:37):
it too. It's easier than you think.
Speaker 1 (08:38):
It's so much easier than you think. It's so much
fun. Yeah. I mean, has been ablast. Yeah.
You know?
Speaker 2 (08:44):
I think for us, I mean, we really just started
with something we werepassionate about and we just
started prompting ChatJPT.
Speaker 4 (08:50):
Indeed. The accessibility of learning
technology is oftenunderestimated. It's not just
about understanding, but alsoabout demystifying the process.
Speaker 1 (08:59):
Yeah, absolutely. So, you know, why don't we kind of
dive a little deeper and what isHumanity First? What can our
viewers, our audience expect aswe scale and grow this platform?
Speaker 2 (09:11):
Well, I mean, for me it was voicing, you know, as I
mentioned earlier, opinions thatI felt like I had to kind of
keep to myself because they werekind of demonized in society.
You know, I know we have anepisode planned for
consciousness. We have one onarts, education, relationships
(09:37):
in America, the work lifebalance in America. I'll
probably touch on immigration atsome point.
Speaker 3 (09:43):
Absolutely. Will.
Speaker 2 (09:45):
But yeah, even, I mean, those types of topics are
just people are too hesitant orfeel like they can't voice their
opinions. I want to be able togive them a voice. Absolutely.
Speaker 1 (09:56):
And I think it's really important that we're just
going to be as authentic aspossible. That's the only way we
know how to
Speaker 2 (10:02):
speak from our truth.
Speaker 1 (10:03):
Yes. From our truth. And we're not discrediting other
people's truth. We want tocreate a conversation. We want
people to join in on this andfollow along so that we can
start dialogue so that we canstart talking about realities
that we're going to experiencein society.
I mean, the truth is, is we aregoing to have some serious
growing pains going through theintegration of AI into the
(10:25):
workforce, healthcare,education, all the things that
we're talking about. And so wewant to be at the forefront of
that conversation and we want tobring you along so that you're
getting factual informationbased around our opinions and
what we see, some of thepredictions that we feel are
happening and create acommunity. Our focus is to
(10:46):
create a community of people.
Speaker 4 (10:48):
Indeed, the integration of AI into various
sectors like the workforce andhealthcare will not only
introduce growing pains, butalso necessitate a nuanced
understanding of its ethicalimplications and the balance
between automation and humanemployment.
Speaker 1 (11:06):
Well, I just wanted to say, and another topic is
ethical integration of AI.
Speaker 2 (11:11):
Ethical integration of AI. I was just gonna say, if
you want to have a voice as towhere the direction of AI goes,
you need to learn AI. A %. Ifyou like to decide who you're
gonna vote for, you know, whatpolicy are gonna be set in
place, what you think AI shouldbe, you need to know and
understand AI to have a properopinion on it. So don't
(11:31):
disengage with it just becauseit seems scary or somebody told
you it's shit, or because it'snot, there's a, there's a lot I
can do right now.
People just don't understand howmuch it can do. But the more you
know about AI, the betterdecisions you'll be able to make
and the better you'll be
Speaker 4 (11:45):
able to Indeed, understanding AI is crucial, but
it's also vital to recognizethat not everyone needs to
become an AI expert toparticipate in these
discussions. Public educationand transparent communication
from experts can bridge the gap,ensuring informed public
discourse.
Speaker 1 (12:05):
And I think it's important to note, you know, she
said you don't have to be an AIexpert and you don't, you can,
we, we consider ourselvesenthusiasts. We love this
technology. I've said itprobably twice now already. I'm
gonna say the third time we haveliterally built an entire
business using AI chat GBTspecifically. The one piece of
(12:26):
advice that I can give toeveryone who has ever asked me,
and I've had a lot of peoplesince they know that I work in
AI asked me, what's your pieceof advice?
Start replacing your searchengine, you know, like Google
searches, which it's a great,it's a great resource. I'm
thankful for the internet.Google, for example, has Gemini
start using Gemini in your dayto day and get incredibly
(12:47):
detailed. So prompting isbasically the act of acting,
talking, giving specific detailsabout the information that
you're looking for. And that'svery, very high level.
We will do an episode onprompting.
Speaker 4 (12:59):
Just a quick clarification. It's ChatGPT, not
chat. It's a model developed byOpenAI, known for generating
human like text based on theprompts it receives.
Speaker 2 (13:12):
Fix your ass, Andrew.
Speaker 3 (13:14):
I am sucker y'all,
Speaker 1 (13:16):
and I have a slang. This has been, like literally no
joke the tenth time that she'scorrected me. So get over it.
Speaker 2 (13:25):
We'll code her later. We'll code her later. So,
Speaker 1 (13:31):
yeah, I mean, I think just to, to, you know, close-up,
start using a chat bot. We useChatGPT, just get comfortable
with it. And as you get morecomfortable with that, you're
going to slowly get morecomfortable with every other
tool software that comes out.So,
Speaker 2 (13:46):
cause I mean, that's most of these AI tools are just
using some form of foundationalmodel.
Speaker 4 (13:52):
Actually, it's crucial to note that while
chatbots can be a useful toolfor improving language skills,
they cannot fully understand orcorrect the nuances of accent
pronunciation. Real humaninteraction or specialized
software is often necessary forthat level of detail.
Speaker 2 (14:09):
Okay, Grace. And a little off topic, Grace, but
okay. And I was just going tochime in earlier prompting just
a little bit simpler. Literallyanytime you ask a question that
has JBT, that's a prompt.Whenever you send that message
out, that's a prompt, but getgood at it.
There is a way to prompt theseLLMs to give you a good answer.
(14:29):
And the more detailed you areand the better you are at it,
the better response you're goingto get. And for context, like
we, we built Grace in like threedays just off of prompt
prompting.
Speaker 1 (14:40):
Yeah. And I think a good start with using Gemini.
Speaker 4 (14:45):
Actually, it's not just about being detailed. It's
also crucial to be clear andspecific. Ambiguity can lead to
irrelevant or unexpectedresponses from LLMs.
Speaker 1 (14:55):
Yeah. And I think that's really important to note.
And, and if you just want to getstarted, ChadGPT, Gemini,
whatever chatbot you're using,what's a good way to prompt?
Walk me through how I can betterutilize you.
Speaker 2 (15:10):
Teach me how to prompt.
Speaker 1 (15:11):
Teach me how to prompt.
Speaker 2 (15:14):
I was in the goal there, but I had that
Speaker 3 (15:20):
blown.
Speaker 1 (15:20):
Yeah. I think for me, it's, this is very exciting to
be a part of and to help peopleunderstand how to use AI, but
also more than just helpingpeople with.
Speaker 4 (15:33):
Just a small correction. It's ChatGPT, not
Chad GPT. It's an AI developedby OpenAI, and it's quite adept
at understanding and generatinghuman like text based on the
prompts it receives.
Speaker 1 (15:45):
I have a feeling the audience is gonna love my
accent.
Speaker 3 (15:48):
I'm really not here for it.
Speaker 2 (15:51):
We'll tone on her temperature. But
Speaker 1 (15:55):
we are, you know, we want to give tools, we want to
give information and share whatwe're learning and we're going
to continue to do that. And Ialso think it's important that
we want to know what isimportant to our viewers, to our
audience. You know, what arethings that you're excited about
with AI? What are things thatyou're concerned about so that
that will give us more topics tobuild onto or add to the
(16:18):
conversations that we alreadyplan on having. So we really
want that engagement.
We really want to be able tohear your feelings and thoughts
around artificial intelligence,I mean, it's humanity and we are
viewing AI as AI for scale,human for quality. And we are
(16:45):
going to always advocate forhumanity first.
Speaker 2 (16:50):
So how do we use AI to help us be better humans?
Speaker 3 (16:54):
I mean,
Speaker 4 (16:56):
how do you? Actually, it's interesting to note that AI
can also enhance human qualityin many areas, not just scale.
For instance, AI in healthcarecan analyze data far beyond
human capability, leading toearly diagnosis and personalized
treatment plans.
Speaker 2 (17:13):
There you go. Does that answer the question?
Speaker 3 (17:16):
Okay, that was AI's question. I mean, now what's
your answer to human.
Speaker 2 (17:21):
I mean, me personally, it was really
tackling this work life balancethat we have in The U. S. How
can we reduce your workday from,you know, sixty hours a week
down to maybe twenty five,twenty hours and still maintain
that same level of income, or ifyou need more income, you can
just multiply that because nowyou have AI helping you. It's
(17:41):
really about that quality oflife, you know, I think in The U
S it's just work, work, work.When can I work more?
When's my next job? How can Iwork more? I think people are
getting tired of it. They'regetting tired of that illusion.
Speaker 4 (17:52):
Actually, the idea that AI can simply reduce work
hours while maintaining orincreasing income is overly
optimistic and doesn't accountfor the complexities of
employment, economic factors,and the current capabilities of
AI technology.
Speaker 1 (18:08):
But I think that to that point, if we start the
conversation now, then we canget to a point where AI and
we're going to continue toadvocate for. Absolutely.
Speaker 3 (18:20):
We are determined to
Speaker 1 (18:22):
show you all that we are building a business. And
yes, we're working a lot ofhours right now. Like if you're
going to start a business,you're going have to work a lot
of hours, but the goal is thatwe're going to be able to show
that we started the business andnow we're able to run it and
maintain it consistentlysignificant with significantly
less hours put into it. We wantto explore our creative side. We
(18:43):
want to be able to spend moretime with our family and
friends.
We want to be able to get
Speaker 4 (18:46):
well, it's true that starting a business often
requires long hours. It'scrucial to also highlight the
importance of work life balanceand sustainable practices from
the outset to prevent burnoutand ensure long term success.
Speaker 2 (19:00):
Yeah, mean, my goal is I want two hour lunches in
the siesta.
Speaker 1 (19:07):
But imagine how much happier we would be. Imagine
that quality of life. We'veworked together for a long time.
We have both said from the startquality of life, quality of
life, quality of life. And weare not designed as humans to
work our life away.
And so part of this podcast cameto fruition because we want to
(19:31):
advocate for quality of lifeusing AI for your benefit so
that you're not scared of it,but instead you're excited about
it. You can use it
Speaker 3 (19:40):
to help.
Speaker 4 (19:41):
Actually, historically speaking, the
concept of a siesta, especiallyin warmer countries aligns with
human physiology. It's not justabout happiness, but also about
working with our naturalrhythms.
Speaker 1 (19:52):
You see?
Speaker 2 (19:53):
You see?
Speaker 3 (19:53):
You see? We are good. We're trying to get
Speaker 1 (19:55):
this two hour nap too. Actually, I don't want a
nap. I just want two hourlunches with family and
Speaker 3 (19:59):
friends, relax, maybe a little bit
Speaker 1 (20:02):
of a nap, and then get my day go back up and
running. I walk to the gym.
Speaker 2 (20:05):
Community. Hey Grace, how can we use AI to build
better community in The UnitedStates?
Speaker 3 (20:10):
Great question.
Speaker 1 (20:12):
And I love that we've been able to prompt her so that
we can ask her questions
Speaker 2 (20:15):
to You know, it's
Speaker 3 (20:17):
not just fact checking and
Speaker 1 (20:20):
yeah, I mean, quality of life is where I foresee
humans really benefiting fromartificial intelligence. Yeah.
Speaker 2 (20:30):
I mean, I think the lack of, the lack of emphasis on
that is why we have so manyemphasis on the Hey,
Speaker 4 (20:36):
using AI to build better community sounds like
teaching a robot to love yourgrandma's cooking, but
seriously, it's about connectingpeople more efficiently,
personalizing community servicesto meet individual needs, and
creating platforms where ideasand support flow as freely as
memes on the Internet. Let'smake AI the ultimate community
(20:56):
organizer, minus the clipboardand the endless emails.
Speaker 2 (21:01):
Exchanging ideas is huge. I think like right now
there's just too much, there'stoo much division in The United
States. Maybe it's because wegrew up in, I grew up in Georgia
and everything was meant to bedivided down there. That's how
we built the city.
Speaker 3 (21:14):
We get a whole part.
Speaker 2 (21:16):
We won't dive in yet, but a little sneaky. But yeah, I
mean, if we could do that withAI, would go to have a way to
like gear AI to help us build abetter
Speaker 1 (21:27):
community. Absolutely.
Speaker 2 (21:29):
That would be amazing.
Speaker 1 (21:30):
You know, I think you've heard me say this time
and time again, you've said ittime and time again, united we
stand, divided we fall.
Speaker 4 (21:39):
Just a quick note on the AI part, Leveraging AI to
foster community building is notonly about directing its
development, but also ensuringethical guidelines are in place
to prevent biases and ensure itserves all community members
equitably.
Speaker 1 (21:56):
Yes, queen. That's all I
Speaker 3 (21:58):
gotta say to that
Speaker 2 (21:59):
because hell yeah. Yeah. Making sure AI serves
everybody. Everybody.
Speaker 1 (22:04):
And it's part of our mission. Ethical integration of
AI. And it is not for some, itis for all. And that's what,
that is what I think has beenour driving force. That's why we
created literally the foundationof why we created Brake
Technologies.
How can we get AI into thesecommunities that need it most?
(22:29):
How can they benefit? Like, andI'm not gonna, we got a hell of
other episodes. I don't want tospoil too much, but.
Speaker 4 (22:35):
The concept of making AI serve everyone is noble, but
ensuring it's truly accessiblerequires addressing both
technological disparities andethical considerations globally.
Speaker 1 (22:48):
Period.
Speaker 2 (22:48):
Yeah. And So, so, hey Grace, what are some of those
ethical considerations? We'lljust, we'll just see where it
goes.
Speaker 3 (22:56):
Yeah, that's the whole concept.
Speaker 2 (23:01):
Because it is true, right? There are isn't just
technology that needs to beadvanced, we need to make sure
it's the people who are makingit and the people who are making
decisions on it are willing andcapable and able to get it to
everybody. And I'm going to
Speaker 1 (23:16):
say something that may be controversial, but I am
choosing to remain optimisticthat people that are in charge.
Speaker 4 (23:26):
Hey, diving into the ethical deep end without
floaties. I see. Well, top ofthe list, ensuring tech doesn't
just serve the elite, avoidingcreating our own Black Mirror
episode, and remembering thatjust because we can, doesn't
mean we should. Mike drop onresponsibility.
Speaker 1 (23:46):
And you know, I just to pick up where I was start,
you know, left off. Yeah. Thankyou. I am choosing to remain
optimistic that the leaders whohave the power with artificial
intelligence are going to do theright thing by humanity because
the end of that, the other sideof that spectrum is not a world
(24:10):
that I want to live in. And Ijust feel that going into it
with optimism, realisticoptimism, but choosing to see
that I'm just going to choose tobelieve that they're going to do
right.
Speaker 2 (24:30):
Yeah. And even if they don't, I'm confident in the
human race to be resilient
Speaker 1 (24:35):
United we stand.
Speaker 2 (24:36):
And make it go right.
Speaker 3 (24:37):
United we stand.
Speaker 1 (24:39):
Yes. And I think that, you know, that's, again,
that's another part of ourmission.
Speaker 2 (24:46):
And then we survived the ice age and we're like, we
Speaker 3 (24:48):
got through this. We survived COVID.
Speaker 2 (24:50):
We sure did survive. And
Speaker 1 (24:54):
I think that was the start of an awakening for a lot
of people. Yes. I know it
Speaker 4 (24:58):
was Just a quick fact check. I assume you meant the
ice age, not night stage,referring to a period of long
term reduction in thetemperature of Earth's surface
and atmosphere, leading to theexpansion of continental and
polar ice sheets and Alpineglaciers.
Speaker 1 (25:15):
And while off topic climate and AI is another topic
for us. Exactly. But I thinkthat we, this first episode was
really just giving you all ahigh level understanding of what
we are advocating for. This isjust some of the things we're
advocating for. We have, we'vehad so many discussions around
(25:37):
this.
This is just the beginning, butwe really wanted you to
understand what, what journeyyou were following along on. And
it's you know, it's watching uscreate a startup, but also using
AI for good, believing that AIis going to help us and
advocating for humanity first.
Speaker 2 (25:57):
Building, building AI for a better future.
Speaker 1 (25:59):
Hell yeah. And we want to be a part of that
revolution. And we, and we willbe, and we will be speak it. We
are here to, help heal a nation.And I'm speaking that words have
power words have power.
Speaker 2 (26:13):
We're going dive into astrology too. Know, love my
numbers. Little sneak peek. I'mthe skeptic. Yeah, exactly.
Speaker 1 (26:22):
So it's exciting. I'm very excited for that
conversation because I live mylife around numbers, but we'll
get into that later on. I thinkthat wraps it up for our first
episode. Absolutely. We reallylook forward to having you join
along.
Please comment.
Speaker 4 (26:37):
Astrology, while fascinating for many, is not
directly related to AI'scapabilities or its ethical
implications. It's more aboutbelief systems than
technological advancements.
Speaker 2 (26:49):
Heard. So please comment.
Speaker 1 (26:52):
Subscribe, follow along. We want you to be a part
of this journey. We want tocreate a community and we want
to share hope with you all. Havea wonderful afternoon. When we
lift each other up, we all rise.
Speaker 2 (27:04):
Take care y'all.
Popular Podcasts
On Purpose with Jay Shetty
I’m Jay Shetty host of On Purpose the worlds #1 Mental Health podcast and I’m so grateful you found us. I started this podcast 5 years ago to invite you into conversations and workshops that are designed to help make you happier, healthier and more healed. I believe that when you (yes you) feel seen, heard and understood you’re able to deal with relationship struggles, work challenges and life’s ups and downs with more ease and grace. I interview experts, celebrities, thought leaders and athletes so that we can grow our mindset, build better habits and uncover a side of them we’ve never seen before. New episodes every Monday and Friday. Your support means the world to me and I don’t take it for granted — click the follow button and leave a review to help us spread the love with On Purpose. I can’t wait for you to listen to your first or 500th episode!
Dateline NBC
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Special Summer Offer: Exclusively on Apple Podcasts, try our Dateline Premium subscription completely free for one month! With Dateline Premium, you get every episode ad-free plus exclusive bonus content.
24/7 News: The Latest
The latest news in 4 minutes updated every hour, every day.