November 13, 2024 • 27 mins
What if the secrets to AI's past could unlock a brighter future for all of us? In this episode, we go over a fascinating new timeline article "Timeline History of Artificial Intelligence Milestones" from Histowiki.com Prepare for an enlightening journey as we unveil over two centuries of innovation, starting with Thomas Bayes' groundbreaking probability theorem in 1763. As we traverse the narrative of artificial intelligence, you'll encounter legendary figures like Alan Turing and pivotal moments such as the Dartmouth Conference of 1956, where AI was officially christened. From the ingenious creation of ELIZA to the dawn of physical AI with robots like Shakey, this episode captures the thrilling transformation from abstract theory to world-changing innovation, all while challenging our understanding of what machine intelligence truly means.
Fast forward to recent decades, and witness the astonishing evolution of AI from the 1980s to today. Discover how expert systems and Japan's ambitious fifth generation computer systems project laid the groundwork for AI's modern wonders. Experience the thrill of IBM's Deep Blue triumphing over a chess champion and AI's playful introduction into homes with the Furby craze. As we highlight Geoffrey Hinton's revolutionary deep neural networks and AI's burgeoning role in creative and business realms, you'll understand why these advancements matter. With tools like ChatGPT reshaping industries and GPT-4 paving new pathways, we explore AI's relentless innovation and its profound ethical implications, offering insights on how we can harness its potential for humanity's collective good.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Welcome to the Rainmaker's Edge Perspective.
We're going to do a deep divetoday into the history of AI
Awesome.
Speaker 2 (00:08):
Out of the hot topic.
Speaker 1 (00:08):
It is a very hot topic.
We are looking at thisfascinating article.
It's from Histowiki.
Speaker 2 (00:13):
Okay.
Speaker 1 (00:14):
And it's called Timeline History of Artificial
Intelligence Milestones.
Wow, so it's going to be likewriting a time machine.
Yeah, back to the roots of AI,you know.
Speaker 2 (00:24):
Yeah, definitely, and I think you know, seeing how
far AI has come can really giveus a good perspective on where
it might be headed.
Speaker 1 (00:32):
Oh for sure.
And you know, for businesseslooking to harness the power of
AI, this is going to be reallyvaluable.
Speaker 2 (00:38):
Being able to kind of predict the future a little bit
right, Exactly Based on thepast.
Speaker 1 (00:42):
Having these insights from the past.
I think there's some reallyfascinating nuggets of
information in this timelinethat we're going to unearth
today, everything from earlytheoretical foundations to
surprising consumer productsthat were actually early forms
of AI.
Speaker 2 (00:59):
I'm intrigued.
Speaker 1 (01:00):
So let's rewind all the way back to 1763.
Thomas Bayes he was an Englishmathematician publishes his
theorem about probability.
Speaker 2 (01:07):
Okay.
Speaker 1 (01:08):
You might be thinking what does math have to do with
AI?
But trust me, this is where itall begins.
Speaker 2 (01:13):
Okay, yeah, I'm curious how that ties in.
Speaker 1 (01:16):
Yeah, so his work.
It might seem abstract, butit's really the foundation for
how machines learn from data.
Speaker 2 (01:23):
Okay.
Speaker 1 (01:27):
His theorem provides a way to update probabilities as
new information becomesavailable.
Speaker 2 (01:30):
Interesting.
Speaker 1 (01:31):
So you can kind of think of it like the engine
behind algorithms that analyzepatterns and make predictions.
Makes sense, which is the coreof machine learning.
Speaker 2 (01:38):
Think of the basis right, the foundation upon which
everything else is built.
Speaker 1 (01:42):
Exactly.
It's pretty amazing how thesefundamental mathematical
principles have had such aripple effect leading to the AI
we know today.
Speaker 2 (01:51):
Definitely.
It really highlights howseemingly unrelated discoveries
can lead to groundbreakinginnovations.
Speaker 1 (01:57):
Absolutely.
Then we jump ahead to the 1940s.
Speaker 2 (02:00):
Okay.
Speaker 1 (02:00):
And we meet the legendary Alan Turing.
Speaker 2 (02:02):
Of course.
Speaker 1 (02:04):
He's known for cracking the Enigma code during
World War II yeah, but hiscontributions to AI are equally
significant.
Speaker 2 (02:10):
Yeah, for sure.
So in 1950, turing proposed atest now famously known as the
Turing test.
Speaker 1 (02:18):
Right.
Speaker 2 (02:18):
To determine if a machine can exhibit intelligent
behavior that'sindistinguishable from a human.
Speaker 1 (02:24):
It's a concept that continues to challenge our
understanding of intelligenceitself.
Speaker 2 (02:28):
Yeah, it really makes you think.
What does it mean for a machineto be intelligent?
Speaker 1 (02:32):
Right.
Speaker 2 (02:32):
Can we even measure that?
Yeah, Like how do we evendefine it Exactly?
Speaker 1 (02:37):
Those are questions that researchers are still
grappling with today.
Speaker 2 (02:39):
For sure.
Speaker 1 (02:40):
And it's a testament to Turing's vision, yeah, that
his ideas are still so relevantin the age of advanced AI.
Speaker 2 (02:47):
It's amazing how ahead of his time he was to
think of these concepts backthen, when the technology was so
limited.
Speaker 1 (02:54):
And then we arrive at a pivotal moment the Dartmouth
Conference in 1956.
Okay, this is where AIofficially gets its name Thanks
to a group of brilliant mindswho gathered to explore the
potential of thinking machines.
Speaker 2 (03:09):
Oh, wow, that's a cool fact.
I didn't know that.
Speaker 1 (03:12):
It really was.
It was like the birth of AI.
Oh yeah, as we know it.
Speaker 2 (03:16):
The Dartmouth conference was a true watershed
moment.
Speaker 1 (03:19):
Yeah.
Speaker 2 (03:19):
It brought together pioneers like John McCarthy.
Speaker 1 (03:22):
Right.
Speaker 2 (03:23):
Marvin Minsky, claude Shannon and Nathaniel Rochester
.
Their collaboration laid thegroundwork for AI as a field of
study.
Speaker 1 (03:32):
Wow.
Speaker 2 (03:32):
And it's a great example of how scientific
progress often comes from sharedknowledge and collaboration.
Speaker 1 (03:38):
I love that idea.
Speaker 2 (03:39):
Yeah.
Speaker 1 (03:40):
Great minds coming together.
Speaker 2 (03:41):
Yeah.
Speaker 1 (03:42):
Can ignite a revolution.
Speaker 2 (03:43):
Exactly, it's like the power of collective
intelligence.
Speaker 1 (03:46):
Yeah, it makes you wonder what kind of
breakthroughs are happeningright now.
Speaker 2 (03:49):
Yeah.
Speaker 1 (03:50):
In labs and research centers all over the world.
Speaker 2 (03:52):
Oh, I'm sure there are some amazing things in the
works.
Speaker 1 (03:55):
Yeah.
Speaker 2 (03:56):
Speaking of exciting developments, let's talk about
ELIZA.
Oh, eliza, the psychotherapistprogram.
Speaker 1 (04:02):
Right.
Speaker 2 (04:02):
It was created in 1964.
Speaker 1 (04:05):
It's incredible to think that people were pouring
their hearts out to this earlychat bot.
Speaker 2 (04:10):
It just shows how AI was already starting to explore
those complex interactionsbetween humans and computers,
even back then, with limitedtechnology, that's right.
Speaker 1 (04:20):
Yeah, and you know, ELISA was groundbreaking because
it demonstrated the potentialfor AI to engage in these
human-like conversations.
Speaker 2 (04:29):
Right.
Speaker 1 (04:29):
And even though it was based on relatively simple
rules, it was able to create theillusion of understanding and
empathy Interesting.
Which was captivating for users.
Speaker 2 (04:40):
It's like it tricked people into thinking it was more
intelligent than it actuallywas.
Speaker 1 (04:45):
It almost seems like Eliza was a precursor.
Speaker 2 (04:47):
Oh yeah, Virtual assistants and chatbots that we
have today.
Absolutely.
It paved the way for thatconversational AI that's now
everywhere.
Speaker 1 (04:55):
Everywhere and speaking of bringing AI to life.
Okay, the late 1960s and early1970s saw the emergence of some
remarkable robots.
Speaker 2 (05:04):
Oh, wow.
Speaker 1 (05:06):
We had Shakey the Robot in 1969, the first robot
capable of reasoning about itsactions.
Speaker 2 (05:11):
Okay.
Speaker 1 (05:12):
And then Wabba One in 1972, the first full-scale
humanoid robot.
Speaker 2 (05:18):
That's amazing, I know.
So we're really starting to seeAI take physical form.
Speaker 1 (05:23):
That's right, yeah, so we're really starting to see
AI take physical form.
That's right, yeah, so theserobots were monumental
achievements because they markedthe transition of AI from
theory into the physical world.
Speaker 2 (05:33):
Right, it's not just an idea anymore.
It's something tangible, that'sright.
Speaker 1 (05:37):
Yeah, and building robots that can perceive,
navigate and interact with theirenvironment is incredibly
complex.
Speaker 2 (05:44):
It is.
Speaker 1 (05:44):
And these early successes were crucial, totally.
In pushing the field forward.
Speaker 2 (05:48):
They really laid the groundwork for the robotics we
see today.
Speaker 1 (05:51):
It is fascinating to think that we went from abstract
mathematical concepts to robotswalking around in just a few
decades.
Speaker 2 (06:01):
And the pace of innovation just keeps
accelerating.
Speaker 1 (06:04):
It really does.
Yeah, it's pretty amazing.
Speaker 2 (06:06):
It is so where do we go from here?
Speaker 1 (06:09):
Well, let's move into the 1980s.
Speaker 2 (06:11):
Okay.
Speaker 1 (06:11):
And talk about the rise of expert systems.
Speaker 2 (06:13):
I'm ready, let's do it.
So the 1980s brought a shifttowards more practical
applications of AI, especiallyin the business world.
Speaker 1 (06:22):
Oh yeah.
Speaker 2 (06:22):
Expert systems emerged as a powerful tool for
problem solving.
Speaker 1 (06:27):
You're right, and companies like Digital Equipment
Corporation really embracedexpert systems.
Speaker 2 (06:32):
They did.
Speaker 1 (06:33):
They used them to configure complex computer
systems, which was a task thatpreviously required a lot of
human expertise, so it savedthem time.
Speaker 2 (06:41):
Of course.
Speaker 1 (06:42):
And resources, proving that AI could deliver
real business value.
Speaker 2 (06:45):
Yeah, expert systems were a significant step forward.
They showed that AI could bemore than just an academic
pursuit.
Right, it could actuallyoptimize real world processes.
Speaker 1 (06:55):
Yeah.
Speaker 2 (06:55):
And make businesses more efficient.
Speaker 1 (06:57):
And meanwhile, on the other side of the world, Japan
was launching its ambitiousfifth generation computer
systems project.
Oh wow, it was a nationaleffort to develop a new type of
computer based on AI principles.
Speaker 2 (07:10):
So they were really going all in on AI.
They were yeah.
Speaker 1 (07:13):
It really shows how the race to advance AI was
becoming a global competition.
Speaker 2 (07:18):
It's fascinating how different countries were
approaching AI research anddevelopment.
Speaker 1 (07:23):
For sure.
So the fifth generation projectwas a bold vision.
Speaker 2 (07:27):
It was.
Speaker 1 (07:28):
And, while it didn't achieve all of its goals, it
spurred significant research anddevelopment in areas like logic
programming and parallelprocessing, which ultimately
contributed to the advancementof AI technologies.
Speaker 2 (07:41):
So, even though they didn't meet all their objectives
, it still pushed the fieldforward.
Speaker 1 (07:46):
Absolutely.
Speaker 2 (07:47):
That's good.
Speaker 1 (07:48):
And then came the 1990s, a decade where AI really
captured the public imagination.
Speaker 2 (07:54):
It did.
Speaker 1 (07:55):
Who could forget the epic showdown between Deep Blue,
IBM's chess playing computer,and Garry Kasparov, the reigning
world chess champion?
Speaker 2 (08:03):
What a match that was .
Speaker 1 (08:04):
It was, it was, everybody was watching.
Speaker 2 (08:06):
So Deep Blue's victory in 1997 was a watershed
moment.
Yeah, fair it demonstrated theraw computational power of AI,
yeah, and its ability tooutmaneuver even the most
brilliant human minds in acomplex game like chess.
It really showed that AI couldcompete with humans at the
highest levels.
Speaker 1 (08:25):
And it was a real turning point.
I agree In how people viewed AI.
Yeah, suddenly, it wasn't justa futuristic concept.
Right, it was a reality thatcould outperform humans.
Yeah, in a domain that wasconsidered the pinnacle of human
intellect.
Speaker 2 (08:40):
Totally.
It changed everything.
Speaker 1 (08:42):
It did.
While Deep Blue was makingheadlines for its strategic
prowess, another form of AI wasentering homes in a much more
playful way.
Speaker 2 (08:52):
Oh really.
Speaker 1 (08:53):
Remember the Furby craze.
Oh yeah, those furry littlecreatures, those adorable fuzzy
creatures with their own quirkypersonalities.
Speaker 2 (09:01):
They were so popular.
Speaker 1 (09:02):
They were.
They were actually powered bysimple AI algorithms.
Speaker 2 (09:06):
Wow, I didn't know that.
I know, I just thought theywere cute toys.
Right, that's so cool.
Speaker 1 (09:10):
So it's amazing to think that Furby a toy that
brought joy to millions ofchildren.
It did Was actually an earlyexample of AI interacting with
us on a personal level.
Speaker 2 (09:20):
That's a great point.
It really was a glimpse intothe future, where AI would
become more and more integratedinto our daily lives.
Speaker 1 (09:27):
And Furby was a clever way to introduce AI
concepts to a wider audience.
Speaker 2 (09:32):
Definitely.
Speaker 1 (09:33):
It showed that AI could be fun, engaging and even
emotionally appealing.
Speaker 2 (09:38):
For sure, and it helped to demystify AI and pave
the way for its acceptance inconsumer products.
Speaker 1 (09:44):
As we entered the 2000s, AI continued to evolve at
an astonishing pace.
Speaker 2 (09:50):
As always.
Speaker 1 (09:51):
Sony released AIBO, the robotic dog, in 2000.
Speaker 2 (09:54):
Oh yeah, AIBO.
Speaker 1 (09:56):
And it wasn't just a toy Right, it was an experiment
in artificial companionship.
Speaker 2 (10:01):
Interesting.
Speaker 1 (10:02):
Capable of learning and developing its own unique
personality.
Speaker 2 (10:05):
So it wasn't just pre-programmed Right, it could
actually learn and adapt.
Speaker 1 (10:08):
That's right.
Aibo was fascinating because itexplored the emotional
connection between humans andmachines.
Speaker 2 (10:14):
It really pushed the boundaries of what AI could do,
and it demonstrated thepotential for AI to provide
companionship and eventherapeutic benefits.
Speaker 1 (10:23):
That's fascinating, particularly for people who
might not be able to care for areal pet.
Speaker 2 (10:27):
It's like a whole new level of interaction between
humans and AI.
Speaker 1 (10:31):
And in 2005, we saw another major milestone in the
field of robotics.
Speaker 2 (10:37):
What was?
Speaker 1 (10:37):
that Stanford self-driving car.
Speaker 2 (10:40):
Oh, wow.
Speaker 1 (10:41):
Won the DARPA Grand Challenge.
Speaker 2 (10:42):
I remember that.
Speaker 1 (10:43):
A grueling off-road race for autonomous vehicles.
Speaker 2 (10:47):
Yeah, it was a big deal.
Speaker 1 (10:48):
It was so that victory was a pivotal moment for
autonomous vehicles.
Yeah, it was a big deal.
It was so that victory was apivotal moment for autonomous
driving.
For sure, it proved that AIcould handle complex real-world
navigation challenges.
Speaker 2 (10:59):
Right.
Speaker 1 (10:59):
Bringing us one step closer to a future where
self-driving cars become areality.
Speaker 2 (11:04):
It's amazing how quickly that technology advanced
.
Speaker 1 (11:06):
It is incredible to think that, just a few years
after AIBO, ai was navigatingcomplex terrains and making
decisions in real time.
Speaker 2 (11:15):
The progress was astounding.
Speaker 1 (11:16):
And this progress was fueled in part by a
breakthrough in 2006.
Jeffrey Hinton.
Speaker 2 (11:22):
Oh, the godfather of deep learning.
Speaker 1 (11:24):
Often called the godfather of deep learning, and
his colleagues introduced deepneural networks.
Speaker 2 (11:29):
Right, and that really revolutionized the field.
Speaker 1 (11:31):
It did.
This architecture inspired bythe human brain revolutionized
AI, particularly in areas likeimage recognition and natural
language processing.
Speaker 2 (11:40):
Deep neural networks were a game changer.
They enabled AI systems tolearn from massive amounts of
data, leading to significantimprovements in accuracy and
performance.
Speaker 1 (11:51):
Suddenly, tasks that were once considered impossible
for machines, like recognizingobjects and images or
translating languages, becameachievable.
Speaker 2 (12:01):
Yeah, it opened up a whole new world of possibilities
for AI.
Speaker 1 (12:03):
The impact of deep learning was profound.
It was it paved the way for theAI boom we're experiencing
today, absolutely learning wasprofound it was.
It paved the way for the AIboom we're experiencing today
absolutely, with applicationsranging from personalized
recommendations to medicaldiagnosis it's hard to imagine
AI today without deep learning.
It is yeah so the 2010s were adecade of remarkable
achievements for AI.
They were, in 2011, ibm Watsonoh yeah a supercomputer capable
(12:28):
of understanding naturallanguage.
Ok Competed on the game showJeopardy and defeated two former
champions.
Speaker 2 (12:34):
That was incredible.
It was.
Speaker 1 (12:36):
Watson's victory was a stunning display of AI's
ability to process information.
Speaker 2 (12:42):
Yeah.
Speaker 1 (12:43):
Understand complex questions.
Speaker 2 (12:45):
Right.
Speaker 1 (12:45):
And provide accurate answers in real time.
Speaker 2 (12:47):
Yeah, it really showed the potential of A of AI
to assist humans in thoseknowledge intensive tasks.
Speaker 1 (12:54):
It was like watching AI, I think on its feet.
Speaker 2 (12:57):
Yeah.
Speaker 1 (12:57):
Analyzing vast amounts of data in seconds.
Speaker 2 (13:00):
It sparked a lot of excitement about the
possibilities of AI in fieldslike health care and research.
Speaker 1 (13:06):
And then in 2012, Google made a seemingly simple
announcement.
Oh, really that actuallyrepresented a major leap forward
in deep learning.
Speaker 2 (13:15):
What was that?
Speaker 1 (13:16):
Their AI had learned to recognize cats in YouTube
videos.
Speaker 2 (13:19):
Cats, yes, interesting.
Speaker 1 (13:21):
It might sound trivial, yeah, but this was a
breakthrough in imagerecognition.
Oh, okay.
It demonstrated the power ofdeep learning to identify
complex patterns in visual data.
Speaker 2 (13:31):
So it's not just about recognizing a cat Right,
it's about the underlyingtechnology.
That's right that made itpossible.
Speaker 1 (13:37):
And recognizing a cat in a video isn't as easy as it
sounds.
Speaker 2 (13:41):
Yeah, I guess there's a lot of variation in how cats
look and move.
Speaker 1 (13:44):
Right Requires the AI to distinguish between a cat
and other furry creatures,understand the context of the
video and filter out irrelevantinformation.
Speaker 2 (13:54):
Yeah, that's complex.
Speaker 1 (13:55):
It was a testament to the growing sophistication of
deep learning algorithms.
Speaker 2 (14:00):
It really was a significant step forward in
image recognition.
Speaker 1 (14:04):
That same year, 2012, brought us another innovation
that would change the way weinteract with technology.
Speaker 2 (14:11):
What's that?
Speaker 1 (14:12):
Alexa, Amazon's voice-activated virtual
assistant, made its debut.
Speaker 2 (14:16):
Alexa.
Speaker 1 (14:17):
And Alexa's introduction marked the
beginning of the conversationalAI era.
It did Suddenly AI was in ourhomes.
Speaker 2 (14:24):
Right.
Speaker 1 (14:24):
Ready to answer questions, play music and
control our smart devices, allthrough natural language
commands.
Speaker 2 (14:30):
Yeah, it was a game changer for human-computer
interaction and in 2014, achatbot named Eugene Guzman.
Eugene Guzman.
Speaker 1 (14:39):
Made headlines for allegedly passing the Turing
test.
Oh wow, while it was acontroversial claim.
Speaker 2 (14:45):
I bet.
Speaker 1 (14:45):
It sparked important discussions.
Speaker 2 (14:47):
About the evolving nature of AI, okay, and whether
it could truly exhibithuman-like intelligence.
That's right.
So it really challenged ourdefinition of intelligence.
It did, yeah.
Speaker 1 (14:57):
The Eugene Guzman event highlighted the ongoing
debate about what constitutesintelligence.
Speaker 2 (15:03):
Yeah.
Speaker 1 (15:03):
And whether the Turing test.
Speaker 2 (15:04):
Right.
Speaker 1 (15:05):
Was still a valid measure.
Speaker 2 (15:06):
Good point.
Speaker 1 (15:07):
It raised questions about the potential for AI to
deceive or manipulate humans, aswell as the ethical
considerations surrounding AIdevelopment.
Speaker 2 (15:17):
It's a reminder that as AI becomes more sophisticated
, we need to be mindful of itspotential impact on society and
make sure its development alignswith our values.
Society that's right and makesure its development aligns with
our values.
Speaker 1 (15:28):
Two years later, in 2016, DeepMind's AlphaGo made
history by defeating Lee Sedol,a world champion Go player.
Speaker 2 (15:39):
Okay.
Speaker 1 (15:40):
And Go is an ancient board game known for its
complexity.
Speaker 2 (15:45):
It's got strategic depth.
Speaker 1 (15:46):
Even more so than chess.
Speaker 2 (15:47):
Even more so than chess.
Wow.
So AlphaGo's victory was alandmark achievement for AI.
It demonstrated the power ofreinforcement learning, a
technique where AI learnsthrough trial and error,
constantly improving itsperformance.
Speaker 1 (16:03):
So it's like learning by doing.
Essentially.
Speaker 2 (16:06):
Yeah, it was a sign that AI could tackle problems
involving intuition, creativityand strategic thinking skills
that were once thought to beexclusive to humans.
Speaker 1 (16:17):
It's really pushing the boundaries of what we
thought AI could do.
Speaker 2 (16:19):
AlphaGo's triumph opened up a whole new realm of
possibilities for.
Ai in areas requiring complexdecision making.
Speaker 1 (16:27):
So it's not just about playing games anymore,
right, it's about applying theseskills to real world problems.
Speaker 2 (16:33):
That's right.
Yeah, that's exciting.
Speaker 1 (16:35):
And as we moved into the 2020s.
Speaker 2 (16:37):
Okay.
Speaker 1 (16:38):
The pace of AI innovation only accelerated.
Speaker 2 (16:41):
It seems like it's always accelerating.
Speaker 1 (16:43):
It really does.
Yeah, in 2020, openai releasedGPT-3, a language model capable
of generating human quality text.
Speaker 2 (16:50):
Oh, wow.
Speaker 1 (16:52):
In response to a wide range of problems.
Speaker 2 (16:54):
So it can write like a human.
Speaker 1 (16:55):
GPT-3 was a revelation.
It could write stories, poems,codes, scripts and even engage
in conversations that wereeerily human-like.
Speaker 2 (17:03):
That's amazing.
Speaker 1 (17:04):
It was a giant leap forward in natural language
processing.
Speaker 2 (17:07):
GPT-3 showcased the potential of AI for creative
tasks.
Speaker 1 (17:12):
Right.
Speaker 2 (17:12):
It could generate different creative text formats,
translate languages, writedifferent kinds of creative
content and answer yourquestions in an informative way,
even if they are open-ended,challenging or strange.
Speaker 1 (17:24):
It felt like AI had suddenly unlocked a new level of
creativity and fluency inlanguage.
Speaker 2 (17:30):
Yeah.
Speaker 1 (17:31):
It was both exciting and a little bit unsettling.
Speaker 2 (17:34):
To see a machine produce such human-like text.
That's right it really blurredthe lines between human and
machine creativity.
Speaker 1 (17:41):
And the advancements didn't stop there.
Speaker 2 (17:43):
Okay.
Speaker 1 (17:43):
In 2022.
Right, we saw the emergence ofseveral innovative AI tools.
Speaker 2 (17:48):
Oh cool.
Speaker 1 (17:48):
That further integrated AI into our daily
lives.
Perplexity AI.
Perplexity AI, For example islike having an AI-powered
research assistant.
Speaker 2 (17:58):
Wow.
Speaker 1 (17:58):
Built right into your web browser.
Speaker 2 (18:00):
That sounds useful.
Speaker 1 (18:01):
It is Perplexity.
Ai is a great example of how AIis becoming more accessible and
user-friendly Right.
Speaker 2 (18:07):
It's not just for experts anymore, right For
everyone more accessible anduser-friendly Right?
Speaker 1 (18:11):
It's not just for experts anymore.
Right For everyone.
It uses natural languageprocessing to understand your
questions.
Okay, and then?
Speaker 2 (18:20):
searches a vast database of information to
provide relevant answers andinsights.
So it's like having a supersmart librarian at your
fingertips.
Speaker 1 (18:24):
Yeah.
Speaker 2 (18:24):
Always ready to help you find what you need.
Speaker 1 (18:27):
And speaking of creative tools.
Speaker 2 (18:29):
Okay.
Speaker 1 (18:30):
Mid-Journey.
Speaker 2 (18:31):
Mid-Journey.
Speaker 1 (18:31):
Burst onto the scene in 2022, allowing people to
create stunning works of artusing just text prompts.
Speaker 2 (18:39):
That's amazing.
Speaker 1 (18:40):
The rise of AI art generation platforms like
Mid-Journey was remarkable.
It was.
It demonstrated the creativepotential of AI.
Speaker 2 (18:48):
Yeah.
Speaker 1 (18:49):
And blurred the lines between human and machine
artistry.
Speaker 2 (18:53):
It really made you question what it means to be
creative.
Speaker 1 (18:56):
It did, and it was a fascinating exploration.
Speaker 2 (18:58):
It was.
Speaker 1 (18:59):
Of how AI could be used as a tool for artistic
expression.
Speaker 2 (19:03):
So it's not just about creating realistic images.
It's about using AI to explorenew forms of art.
Speaker 1 (19:11):
MidJourney made it possible for anyone to create
breathtaking visuals.
Speaker 2 (19:14):
Wow.
Speaker 1 (19:15):
Even without any artistic skills.
Speaker 2 (19:17):
That's incredible.
Speaker 1 (19:18):
It was a testament to the democratizing power of AI,
making creativity moreaccessible to everyone.
Speaker 2 (19:24):
That's a great point.
It really empowers people toexpress themselves.
And then, of course, that's agreat point, it really empowers
people to express themselves.
Speaker 1 (19:29):
And then, of course, we have ChatGPT.
Speaker 2 (19:30):
ChatGPT yeah.
Speaker 1 (19:31):
Which launched in late 2022.
Speaker 2 (19:34):
And took the world by storm.
Speaker 1 (19:35):
It did.
Speaker 2 (19:36):
Yeah.
Speaker 1 (19:36):
This AI-powered chatbot can engage in
conversations, answer questions,write different kinds of
creative content and evengenerate code.
Speaker 2 (19:45):
It seems like it can do it all.
Speaker 1 (19:47):
And ChatGPT's ability to interact with humans in a
natural and conversational waywas a major breakthrough.
Speaker 2 (19:53):
It felt like you were talking to a real person.
Speaker 1 (19:55):
It did.
Yeah, and its impact on variousindustries, from customer
service to education, wasimmediate and profound.
Speaker 2 (20:02):
It really changed the game.
Speaker 1 (20:04):
ChatGPT's widespread adoption marked a significant
shift in how people interactedwith AI.
Speaker 2 (20:10):
For sure.
Speaker 1 (20:11):
It became a valuable tool for businesses, educators
and individuals alike.
Speaker 2 (20:15):
Yeah, it's amazing how quickly it became part of
our everyday lives.
Speaker 1 (20:19):
And, as we've seen, the pace of innovation continues
to accelerate.
Speaker 2 (20:23):
It does.
Speaker 1 (20:24):
In 2023, OpenAI released GPT-4.
Gpt-4.
An even more advanced versionof their language model.
Speaker 2 (20:31):
Wow, so they're just getting better and better.
Speaker 1 (20:33):
And Google launched Notebook LM.
Speaker 2 (20:36):
Notebook LM.
Speaker 1 (20:37):
An AI-powered note-taking app.
Speaker 2 (20:39):
Okay.
Speaker 1 (20:39):
That can summarize documents.
Answer questions about yournotes.
Speaker 2 (20:43):
Wow.
Speaker 1 (20:44):
And even generate ideas.
Speaker 2 (20:45):
It's like a supercharged note-taking app.
It is, yeah, it's like asupercharged note-taking app.
Speaker 1 (20:48):
It is.
It's incredible to see howthese advancements are
constantly pushing theboundaries of what's possible
with AI.
Speaker 2 (20:53):
It really is.
Each iteration brings newcapabilities and refinements,
making AI even more powerful.
Speaker 1 (21:00):
That's right.
Speaker 2 (21:01):
And versatile.
Speaker 1 (21:02):
These developments highlight the rapid pace of
progress in AI.
Speaker 2 (21:06):
We're witnessing a technological revolution unfold
right before our eyes.
Speaker 1 (21:10):
And while we're on the topic of exciting
developments, I can't help butmention Rainmaker Reputation AI
CRM.
They're at the forefront ofthis AI revolution, developing
tools that empower businesses toleverage the power of AI in
meaningful ways.
Speaker 2 (21:29):
Rainmaker Reputation AI CRM is a great example of a
company that's harnessing thepower of AI to transform
business processes.
Their innovative solutions arehelping businesses stay ahead of
the curve and achieve greatersuccess in today's competitive
landscape.
Speaker 1 (21:44):
Their voice.
Ai feature for example isrevolutionizing how businesses
handle inbound calls Interesting, providing automated solutions
that save time and improvecustomer satisfaction.
Speaker 2 (21:55):
So they're using AI to make businesses more
efficient and improve customerexperiences.
Speaker 1 (21:59):
And with a rapid pace of AI advance, we can expect
even more innovative solutionsfrom companies like Rainmaker,
reputation, ai CRM.
Speaker 2 (22:08):
I'm sure we will.
It's an exciting time to befollowing AI.
Speaker 1 (22:11):
It is.
It's mind-blowing to thinkabout how far we've come from
those early days of probabilitytheorems and code-breaking
machines.
Speaker 2 (22:20):
It is amazing to see how far AI has come in such a
relatively short time.
Speaker 1 (22:24):
AI has evolved from a niche field of study to a
driving force that's shaping ourworld in profound ways.
Speaker 2 (22:31):
And we're just at the beginning of this incredible
journey.
Speaker 1 (22:35):
We are.
Speaker 2 (22:35):
The next chapter of AI history is being written
right now.
Speaker 1 (22:38):
Yeah, and it's up to us to shape its direction.
And harness its potential forthe betterment of humanity.
Speaker 2 (22:45):
It's a responsibility we all share.
Speaker 1 (22:47):
You know, it's really incredible to see how AI has
become such an integral part ofour lives.
Speaker 2 (22:52):
It really is.
I mean from the apps we use tothe way businesses operate.
Ai is everywhere.
Speaker 1 (22:58):
It's transforming industries.
Speaker 2 (22:59):
It is.
Speaker 1 (23:00):
Creating new opportunities and fundamentally
changing how we interact withthe world around us.
Speaker 2 (23:04):
It's truly a technological revolution in
action.
Speaker 1 (23:08):
And just like any revolution, right Understanding
its power.
Speaker 2 (23:12):
Yeah.
Speaker 1 (23:12):
And potential.
Speaker 2 (23:13):
Absolutely.
Speaker 1 (23:14):
Is key to navigating the changes it brings.
Speaker 2 (23:17):
So, whether you're a business owner or just someone
who's curious about the future,yeah, knowing the history of AI
can give you a real advantage.
Speaker 1 (23:26):
Absolutely.
Yeah, understanding theevolution of.
Speaker 2 (23:27):
AI can give you a real advantage?
Speaker 1 (23:28):
Absolutely yeah.
Understanding the evolution ofAI allows us to see how far
we've come.
Speaker 2 (23:32):
Appreciate its current capabilities.
Speaker 1 (23:34):
Yeah.
Speaker 2 (23:35):
Recognize its limitations and make informed
decisions about how to integrateit into our lives and
businesses.
Speaker 1 (23:41):
It's like having a roadmap to the future.
It is by understanding where AIcame from.
Speaker 2 (23:45):
Yeah.
Speaker 1 (23:46):
We can better anticipate where it's going
Right and how we can harness itspower to create positive change
.
Speaker 2 (23:51):
And it's not just about the technology itself.
Speaker 1 (23:53):
Right.
Speaker 2 (23:53):
It's also about recognizing the ethical
considerations that come with it.
Speaker 1 (23:57):
It's a crucial point.
Speaker 2 (23:58):
Yeah.
Speaker 1 (23:59):
AI is a powerful tool .
Speaker 2 (24:00):
And as AI becomes more sophisticated.
Speaker 1 (24:03):
That's right.
Speaker 2 (24:03):
We need to ensure that its development aligns with
our values and that it's usedresponsibly.
Speaker 1 (24:08):
And, like any tool, it can be used for good or for
ill.
Speaker 2 (24:12):
Exactly.
Speaker 1 (24:12):
It's up to us to guide its development and ensure
that it's used to benefithumanity.
Speaker 2 (24:17):
I completely agree and I think that understanding
the history of AI can help usnavigate these ethical
considerations more effectively.
By studying past successes andfailures, we can learn from our
mistakes and make more informeddecisions about the future of AI
.
Speaker 1 (24:33):
So we can build a better future with AI.
Speaker 2 (24:35):
Exactly.
Speaker 1 (24:36):
And speaking of building a better future, I have
to give another shout out toRainmaker Reputation, ai CRM.
Speaker 2 (24:43):
Oh yeah, they're doing some great work.
Speaker 1 (24:45):
They're not just keeping up with the AI
revolution.
Speaker 2 (24:47):
Right.
Speaker 1 (24:48):
They're actively shaping it.
Speaker 2 (24:49):
That's right.
Speaker 1 (24:50):
Developing practical and innovative tools that help
businesses thrive in the age ofAI.
Speaker 2 (24:55):
They're a prime example of a company that
understands the transformativepower of AI.
Speaker 1 (25:00):
Right.
Speaker 2 (25:00):
And is committed to using it responsibly and
ethically.
Their solutions are designed toempower businesses, advance
customer experiences and createa more efficient and connected
world.
Speaker 1 (25:11):
It's inspiring to see companies like Rainmaker
leading the way.
Speaker 2 (25:14):
It is.
Speaker 1 (25:15):
Showing us what's possible when AI is used for
good.
Speaker 2 (25:18):
It's a reminder that AI isn't just about algorithms
and data Right.
It's about people.
Speaker 1 (25:23):
It's about using technology to solve real world
problems.
Yeah, improve lives and createa more positive future for
everyone.
Speaker 2 (25:32):
I think that's a great way to put it.
Speaker 1 (25:33):
I'm left with a sense of awe and excitement.
Speaker 2 (25:35):
Yeah.
Speaker 1 (25:36):
We've come so far in such a short time.
Speaker 2 (25:38):
We have.
Speaker 1 (25:39):
And the future of AI is brimming with possibilities.
Speaker 2 (25:42):
It truly is a remarkable journey.
Speaker 1 (25:44):
It is.
Speaker 2 (25:45):
And we're only at the beginning.
Speaker 1 (25:46):
The next chapter of AI history is being written
right now.
Speaker 2 (25:49):
And it's up to all of us to be active participants in
shaping its direction.
Speaker 1 (25:55):
What groundbreaking AI developments will we see in
the next 5, 10, or 20 years?
Speaker 2 (26:00):
That's the big question.
Speaker 1 (26:01):
It's a question that sparks the imagination.
Speaker 2 (26:03):
But one thing is certain what's that?
The journey of AI is far fromover.
Speaker 1 (26:08):
It's not.
Speaker 2 (26:09):
And it's a journey worth taking.
Speaker 1 (26:11):
I completely agree.
Speaker 2 (26:12):
Yeah.
Speaker 1 (26:13):
Thanks for joining us on this incredible journey
through the history of AI.
Speaker 2 (26:16):
It's been a pleasure.
Speaker 1 (26:17):
We hope you've gained some valuable insights and are
as excited about the future ofAI as we are.
Speaker 2 (26:23):
I think we all should be.
Speaker 1 (26:24):
Until next time.
Speaker 2 (26:26):
Stay curious, keep innovating, keep innovating.
Speaker 1 (26:30):
And let's build an amazing future together with the
power of AI.
Speaker 2 (26:33):
I'm looking forward to it.
Welcome to the Rainmaker's Edge Perspective.
We're going to do a deep divetoday into the history of AI
Awesome.
Speaker 2 (00:08):
Out of the hot topic.
Speaker 1 (00:08):
It is a very hot topic.
We are looking at thisfascinating article.
It's from Histowiki.
Speaker 2 (00:13):
Okay.
Speaker 1 (00:14):
And it's called Timeline History of Artificial
Intelligence Milestones.
Wow, so it's going to be likewriting a time machine.
Yeah, back to the roots of AI,you know.
Speaker 2 (00:24):
Yeah, definitely, and I think you know, seeing how
far AI has come can really giveus a good perspective on where
it might be headed.
Speaker 1 (00:32):
Oh for sure.
And you know, for businesseslooking to harness the power of
AI, this is going to be reallyvaluable.
Speaker 2 (00:38):
Being able to kind of predict the future a little bit
right, Exactly Based on thepast.
Speaker 1 (00:42):
Having these insights from the past.
I think there's some reallyfascinating nuggets of
information in this timelinethat we're going to unearth
today, everything from earlytheoretical foundations to
surprising consumer productsthat were actually early forms
of AI.
Speaker 2 (00:59):
I'm intrigued.
Speaker 1 (01:00):
So let's rewind all the way back to 1763.
Thomas Bayes he was an Englishmathematician publishes his
theorem about probability.
Speaker 2 (01:07):
Okay.
Speaker 1 (01:08):
You might be thinking what does math have to do with
AI?
But trust me, this is where itall begins.
Speaker 2 (01:13):
Okay, yeah, I'm curious how that ties in.
Speaker 1 (01:16):
Yeah, so his work.
It might seem abstract, butit's really the foundation for
how machines learn from data.
Speaker 2 (01:23):
Okay.
Speaker 1 (01:27):
His theorem provides a way to update probabilities as
new information becomesavailable.
Speaker 2 (01:30):
Interesting.
Speaker 1 (01:31):
So you can kind of think of it like the engine
behind algorithms that analyzepatterns and make predictions.
Makes sense, which is the coreof machine learning.
Speaker 2 (01:38):
Think of the basis right, the foundation upon which
everything else is built.
Speaker 1 (01:42):
Exactly.
It's pretty amazing how thesefundamental mathematical
principles have had such aripple effect leading to the AI
we know today.
Speaker 2 (01:51):
Definitely.
It really highlights howseemingly unrelated discoveries
can lead to groundbreakinginnovations.
Speaker 1 (01:57):
Absolutely.
Then we jump ahead to the 1940s.
Speaker 2 (02:00):
Okay.
Speaker 1 (02:00):
And we meet the legendary Alan Turing.
Speaker 2 (02:02):
Of course.
Speaker 1 (02:04):
He's known for cracking the Enigma code during
World War II yeah, but hiscontributions to AI are equally
significant.
Speaker 2 (02:10):
Yeah, for sure.
So in 1950, turing proposed atest now famously known as the
Turing test.
Speaker 1 (02:18):
Right.
Speaker 2 (02:18):
To determine if a machine can exhibit intelligent
behavior that'sindistinguishable from a human.
Speaker 1 (02:24):
It's a concept that continues to challenge our
understanding of intelligenceitself.
Speaker 2 (02:28):
Yeah, it really makes you think.
What does it mean for a machineto be intelligent?
Speaker 1 (02:32):
Right.
Speaker 2 (02:32):
Can we even measure that?
Yeah, Like how do we evendefine it Exactly?
Speaker 1 (02:37):
Those are questions that researchers are still
grappling with today.
Speaker 2 (02:39):
For sure.
Speaker 1 (02:40):
And it's a testament to Turing's vision, yeah, that
his ideas are still so relevantin the age of advanced AI.
Speaker 2 (02:47):
It's amazing how ahead of his time he was to
think of these concepts backthen, when the technology was so
limited.
Speaker 1 (02:54):
And then we arrive at a pivotal moment the Dartmouth
Conference in 1956.
Okay, this is where AIofficially gets its name Thanks
to a group of brilliant mindswho gathered to explore the
potential of thinking machines.
Speaker 2 (03:09):
Oh, wow, that's a cool fact.
I didn't know that.
Speaker 1 (03:12):
It really was.
It was like the birth of AI.
Oh yeah, as we know it.
Speaker 2 (03:16):
The Dartmouth conference was a true watershed
moment.
Speaker 1 (03:19):
Yeah.
Speaker 2 (03:19):
It brought together pioneers like John McCarthy.
Speaker 1 (03:22):
Right.
Speaker 2 (03:23):
Marvin Minsky, claude Shannon and Nathaniel Rochester
.
Their collaboration laid thegroundwork for AI as a field of
study.
Speaker 1 (03:32):
Wow.
Speaker 2 (03:32):
And it's a great example of how scientific
progress often comes from sharedknowledge and collaboration.
Speaker 1 (03:38):
I love that idea.
Speaker 2 (03:39):
Yeah.
Speaker 1 (03:40):
Great minds coming together.
Speaker 2 (03:41):
Yeah.
Speaker 1 (03:42):
Can ignite a revolution.
Speaker 2 (03:43):
Exactly, it's like the power of collective
intelligence.
Speaker 1 (03:46):
Yeah, it makes you wonder what kind of
breakthroughs are happeningright now.
Speaker 2 (03:49):
Yeah.
Speaker 1 (03:50):
In labs and research centers all over the world.
Speaker 2 (03:52):
Oh, I'm sure there are some amazing things in the
works.
Speaker 1 (03:55):
Yeah.
Speaker 2 (03:56):
Speaking of exciting developments, let's talk about
ELIZA.
Oh, eliza, the psychotherapistprogram.
Speaker 1 (04:02):
Right.
Speaker 2 (04:02):
It was created in 1964.
Speaker 1 (04:05):
It's incredible to think that people were pouring
their hearts out to this earlychat bot.
Speaker 2 (04:10):
It just shows how AI was already starting to explore
those complex interactionsbetween humans and computers,
even back then, with limitedtechnology, that's right.
Speaker 1 (04:20):
Yeah, and you know, ELISA was groundbreaking because
it demonstrated the potentialfor AI to engage in these
human-like conversations.
Speaker 2 (04:29):
Right.
Speaker 1 (04:29):
And even though it was based on relatively simple
rules, it was able to create theillusion of understanding and
empathy Interesting.
Which was captivating for users.
Speaker 2 (04:40):
It's like it tricked people into thinking it was more
intelligent than it actuallywas.
Speaker 1 (04:45):
It almost seems like Eliza was a precursor.
Speaker 2 (04:47):
Oh yeah, Virtual assistants and chatbots that we
have today.
Absolutely.
It paved the way for thatconversational AI that's now
everywhere.
Speaker 1 (04:55):
Everywhere and speaking of bringing AI to life.
Okay, the late 1960s and early1970s saw the emergence of some
remarkable robots.
Speaker 2 (05:04):
Oh, wow.
Speaker 1 (05:06):
We had Shakey the Robot in 1969, the first robot
capable of reasoning about itsactions.
Speaker 2 (05:11):
Okay.
Speaker 1 (05:12):
And then Wabba One in 1972, the first full-scale
humanoid robot.
Speaker 2 (05:18):
That's amazing, I know.
So we're really starting to seeAI take physical form.
Speaker 1 (05:23):
That's right, yeah, so we're really starting to see
AI take physical form.
That's right, yeah, so theserobots were monumental
achievements because they markedthe transition of AI from
theory into the physical world.
Speaker 2 (05:33):
Right, it's not just an idea anymore.
It's something tangible, that'sright.
Speaker 1 (05:37):
Yeah, and building robots that can perceive,
navigate and interact with theirenvironment is incredibly
complex.
Speaker 2 (05:44):
It is.
Speaker 1 (05:44):
And these early successes were crucial, totally.
In pushing the field forward.
Speaker 2 (05:48):
They really laid the groundwork for the robotics we
see today.
Speaker 1 (05:51):
It is fascinating to think that we went from abstract
mathematical concepts to robotswalking around in just a few
decades.
Speaker 2 (06:01):
And the pace of innovation just keeps
accelerating.
Speaker 1 (06:04):
It really does.
Yeah, it's pretty amazing.
Speaker 2 (06:06):
It is so where do we go from here?
Speaker 1 (06:09):
Well, let's move into the 1980s.
Speaker 2 (06:11):
Okay.
Speaker 1 (06:11):
And talk about the rise of expert systems.
Speaker 2 (06:13):
I'm ready, let's do it.
So the 1980s brought a shifttowards more practical
applications of AI, especiallyin the business world.
Speaker 1 (06:22):
Oh yeah.
Speaker 2 (06:22):
Expert systems emerged as a powerful tool for
problem solving.
Speaker 1 (06:27):
You're right, and companies like Digital Equipment
Corporation really embracedexpert systems.
Speaker 2 (06:32):
They did.
Speaker 1 (06:33):
They used them to configure complex computer
systems, which was a task thatpreviously required a lot of
human expertise, so it savedthem time.
Speaker 2 (06:41):
Of course.
Speaker 1 (06:42):
And resources, proving that AI could deliver
real business value.
Speaker 2 (06:45):
Yeah, expert systems were a significant step forward.
They showed that AI could bemore than just an academic
pursuit.
Right, it could actuallyoptimize real world processes.
Speaker 1 (06:55):
Yeah.
Speaker 2 (06:55):
And make businesses more efficient.
Speaker 1 (06:57):
And meanwhile, on the other side of the world, Japan
was launching its ambitiousfifth generation computer
systems project.
Oh wow, it was a nationaleffort to develop a new type of
computer based on AI principles.
Speaker 2 (07:10):
So they were really going all in on AI.
They were yeah.
Speaker 1 (07:13):
It really shows how the race to advance AI was
becoming a global competition.
Speaker 2 (07:18):
It's fascinating how different countries were
approaching AI research anddevelopment.
Speaker 1 (07:23):
For sure.
So the fifth generation projectwas a bold vision.
Speaker 2 (07:27):
It was.
Speaker 1 (07:28):
And, while it didn't achieve all of its goals, it
spurred significant research anddevelopment in areas like logic
programming and parallelprocessing, which ultimately
contributed to the advancementof AI technologies.
Speaker 2 (07:41):
So, even though they didn't meet all their objectives
, it still pushed the fieldforward.
Speaker 1 (07:46):
Absolutely.
Speaker 2 (07:47):
That's good.
Speaker 1 (07:48):
And then came the 1990s, a decade where AI really
captured the public imagination.
Speaker 2 (07:54):
It did.
Speaker 1 (07:55):
Who could forget the epic showdown between Deep Blue,
IBM's chess playing computer,and Garry Kasparov, the reigning
world chess champion?
Speaker 2 (08:03):
What a match that was .
Speaker 1 (08:04):
It was, it was, everybody was watching.
Speaker 2 (08:06):
So Deep Blue's victory in 1997 was a watershed
moment.
Yeah, fair it demonstrated theraw computational power of AI,
yeah, and its ability tooutmaneuver even the most
brilliant human minds in acomplex game like chess.
It really showed that AI couldcompete with humans at the
highest levels.
Speaker 1 (08:25):
And it was a real turning point.
I agree In how people viewed AI.
Yeah, suddenly, it wasn't justa futuristic concept.
Right, it was a reality thatcould outperform humans.
Yeah, in a domain that wasconsidered the pinnacle of human
intellect.
Speaker 2 (08:40):
Totally.
It changed everything.
Speaker 1 (08:42):
It did.
While Deep Blue was makingheadlines for its strategic
prowess, another form of AI wasentering homes in a much more
playful way.
Speaker 2 (08:52):
Oh really.
Speaker 1 (08:53):
Remember the Furby craze.
Oh yeah, those furry littlecreatures, those adorable fuzzy
creatures with their own quirkypersonalities.
Speaker 2 (09:01):
They were so popular.
Speaker 1 (09:02):
They were.
They were actually powered bysimple AI algorithms.
Speaker 2 (09:06):
Wow, I didn't know that.
I know, I just thought theywere cute toys.
Right, that's so cool.
Speaker 1 (09:10):
So it's amazing to think that Furby a toy that
brought joy to millions ofchildren.
It did Was actually an earlyexample of AI interacting with
us on a personal level.
Speaker 2 (09:20):
That's a great point.
It really was a glimpse intothe future, where AI would
become more and more integratedinto our daily lives.
Speaker 1 (09:27):
And Furby was a clever way to introduce AI
concepts to a wider audience.
Speaker 2 (09:32):
Definitely.
Speaker 1 (09:33):
It showed that AI could be fun, engaging and even
emotionally appealing.
Speaker 2 (09:38):
For sure, and it helped to demystify AI and pave
the way for its acceptance inconsumer products.
Speaker 1 (09:44):
As we entered the 2000s, AI continued to evolve at
an astonishing pace.
Speaker 2 (09:50):
As always.
Speaker 1 (09:51):
Sony released AIBO, the robotic dog, in 2000.
Speaker 2 (09:54):
Oh yeah, AIBO.
Speaker 1 (09:56):
And it wasn't just a toy Right, it was an experiment
in artificial companionship.
Speaker 2 (10:01):
Interesting.
Speaker 1 (10:02):
Capable of learning and developing its own unique
personality.
Speaker 2 (10:05):
So it wasn't just pre-programmed Right, it could
actually learn and adapt.
Speaker 1 (10:08):
That's right.
Aibo was fascinating because itexplored the emotional
connection between humans andmachines.
Speaker 2 (10:14):
It really pushed the boundaries of what AI could do,
and it demonstrated thepotential for AI to provide
companionship and eventherapeutic benefits.
Speaker 1 (10:23):
That's fascinating, particularly for people who
might not be able to care for areal pet.
Speaker 2 (10:27):
It's like a whole new level of interaction between
humans and AI.
Speaker 1 (10:31):
And in 2005, we saw another major milestone in the
field of robotics.
Speaker 2 (10:37):
What was?
Speaker 1 (10:37):
that Stanford self-driving car.
Speaker 2 (10:40):
Oh, wow.
Speaker 1 (10:41):
Won the DARPA Grand Challenge.
Speaker 2 (10:42):
I remember that.
Speaker 1 (10:43):
A grueling off-road race for autonomous vehicles.
Speaker 2 (10:47):
Yeah, it was a big deal.
Speaker 1 (10:48):
It was so that victory was a pivotal moment for
autonomous vehicles.
Yeah, it was a big deal.
It was so that victory was apivotal moment for autonomous
driving.
For sure, it proved that AIcould handle complex real-world
navigation challenges.
Speaker 2 (10:59):
Right.
Speaker 1 (10:59):
Bringing us one step closer to a future where
self-driving cars become areality.
Speaker 2 (11:04):
It's amazing how quickly that technology advanced
.
Speaker 1 (11:06):
It is incredible to think that, just a few years
after AIBO, ai was navigatingcomplex terrains and making
decisions in real time.
Speaker 2 (11:15):
The progress was astounding.
Speaker 1 (11:16):
And this progress was fueled in part by a
breakthrough in 2006.
Jeffrey Hinton.
Speaker 2 (11:22):
Oh, the godfather of deep learning.
Speaker 1 (11:24):
Often called the godfather of deep learning, and
his colleagues introduced deepneural networks.
Speaker 2 (11:29):
Right, and that really revolutionized the field.
Speaker 1 (11:31):
It did.
This architecture inspired bythe human brain revolutionized
AI, particularly in areas likeimage recognition and natural
language processing.
Speaker 2 (11:40):
Deep neural networks were a game changer.
They enabled AI systems tolearn from massive amounts of
data, leading to significantimprovements in accuracy and
performance.
Speaker 1 (11:51):
Suddenly, tasks that were once considered impossible
for machines, like recognizingobjects and images or
translating languages, becameachievable.
Speaker 2 (12:01):
Yeah, it opened up a whole new world of possibilities
for AI.
Speaker 1 (12:03):
The impact of deep learning was profound.
It was it paved the way for theAI boom we're experiencing
today, absolutely learning wasprofound it was.
It paved the way for the AIboom we're experiencing today
absolutely, with applicationsranging from personalized
recommendations to medicaldiagnosis it's hard to imagine
AI today without deep learning.
It is yeah so the 2010s were adecade of remarkable
achievements for AI.
They were, in 2011, ibm Watsonoh yeah a supercomputer capable
(12:28):
of understanding naturallanguage.
Ok Competed on the game showJeopardy and defeated two former
champions.
Speaker 2 (12:34):
That was incredible.
It was.
Speaker 1 (12:36):
Watson's victory was a stunning display of AI's
ability to process information.
Speaker 2 (12:42):
Yeah.
Speaker 1 (12:43):
Understand complex questions.
Speaker 2 (12:45):
Right.
Speaker 1 (12:45):
And provide accurate answers in real time.
Speaker 2 (12:47):
Yeah, it really showed the potential of A of AI
to assist humans in thoseknowledge intensive tasks.
Speaker 1 (12:54):
It was like watching AI, I think on its feet.
Speaker 2 (12:57):
Yeah.
Speaker 1 (12:57):
Analyzing vast amounts of data in seconds.
Speaker 2 (13:00):
It sparked a lot of excitement about the
possibilities of AI in fieldslike health care and research.
Speaker 1 (13:06):
And then in 2012, Google made a seemingly simple
announcement.
Oh, really that actuallyrepresented a major leap forward
in deep learning.
Speaker 2 (13:15):
What was that?
Speaker 1 (13:16):
Their AI had learned to recognize cats in YouTube
videos.
Speaker 2 (13:19):
Cats, yes, interesting.
Speaker 1 (13:21):
It might sound trivial, yeah, but this was a
breakthrough in imagerecognition.
Oh, okay.
It demonstrated the power ofdeep learning to identify
complex patterns in visual data.
Speaker 2 (13:31):
So it's not just about recognizing a cat Right,
it's about the underlyingtechnology.
That's right that made itpossible.
Speaker 1 (13:37):
And recognizing a cat in a video isn't as easy as it
sounds.
Speaker 2 (13:41):
Yeah, I guess there's a lot of variation in how cats
look and move.
Speaker 1 (13:44):
Right Requires the AI to distinguish between a cat
and other furry creatures,understand the context of the
video and filter out irrelevantinformation.
Speaker 2 (13:54):
Yeah, that's complex.
Speaker 1 (13:55):
It was a testament to the growing sophistication of
deep learning algorithms.
Speaker 2 (14:00):
It really was a significant step forward in
image recognition.
Speaker 1 (14:04):
That same year, 2012, brought us another innovation
that would change the way weinteract with technology.
Speaker 2 (14:11):
What's that?
Speaker 1 (14:12):
Alexa, Amazon's voice-activated virtual
assistant, made its debut.
Speaker 2 (14:16):
Alexa.
Speaker 1 (14:17):
And Alexa's introduction marked the
beginning of the conversationalAI era.
It did Suddenly AI was in ourhomes.
Speaker 2 (14:24):
Right.
Speaker 1 (14:24):
Ready to answer questions, play music and
control our smart devices, allthrough natural language
commands.
Speaker 2 (14:30):
Yeah, it was a game changer for human-computer
interaction and in 2014, achatbot named Eugene Guzman.
Eugene Guzman.
Speaker 1 (14:39):
Made headlines for allegedly passing the Turing
test.
Oh wow, while it was acontroversial claim.
Speaker 2 (14:45):
I bet.
Speaker 1 (14:45):
It sparked important discussions.
Speaker 2 (14:47):
About the evolving nature of AI, okay, and whether
it could truly exhibithuman-like intelligence.
That's right.
So it really challenged ourdefinition of intelligence.
It did, yeah.
Speaker 1 (14:57):
The Eugene Guzman event highlighted the ongoing
debate about what constitutesintelligence.
Speaker 2 (15:03):
Yeah.
Speaker 1 (15:03):
And whether the Turing test.
Speaker 2 (15:04):
Right.
Speaker 1 (15:05):
Was still a valid measure.
Speaker 2 (15:06):
Good point.
Speaker 1 (15:07):
It raised questions about the potential for AI to
deceive or manipulate humans, aswell as the ethical
considerations surrounding AIdevelopment.
Speaker 2 (15:17):
It's a reminder that as AI becomes more sophisticated
, we need to be mindful of itspotential impact on society and
make sure its development alignswith our values.
Society that's right and makesure its development aligns with
our values.
Speaker 1 (15:28):
Two years later, in 2016, DeepMind's AlphaGo made
history by defeating Lee Sedol,a world champion Go player.
Speaker 2 (15:39):
Okay.
Speaker 1 (15:40):
And Go is an ancient board game known for its
complexity.
Speaker 2 (15:45):
It's got strategic depth.
Speaker 1 (15:46):
Even more so than chess.
Speaker 2 (15:47):
Even more so than chess.
Wow.
So AlphaGo's victory was alandmark achievement for AI.
It demonstrated the power ofreinforcement learning, a
technique where AI learnsthrough trial and error,
constantly improving itsperformance.
Speaker 1 (16:03):
So it's like learning by doing.
Essentially.
Speaker 2 (16:06):
Yeah, it was a sign that AI could tackle problems
involving intuition, creativityand strategic thinking skills
that were once thought to beexclusive to humans.
Speaker 1 (16:17):
It's really pushing the boundaries of what we
thought AI could do.
Speaker 2 (16:19):
AlphaGo's triumph opened up a whole new realm of
possibilities for.
Ai in areas requiring complexdecision making.
Speaker 1 (16:27):
So it's not just about playing games anymore,
right, it's about applying theseskills to real world problems.
Speaker 2 (16:33):
That's right.
Yeah, that's exciting.
Speaker 1 (16:35):
And as we moved into the 2020s.
Speaker 2 (16:37):
Okay.
Speaker 1 (16:38):
The pace of AI innovation only accelerated.
Speaker 2 (16:41):
It seems like it's always accelerating.
Speaker 1 (16:43):
It really does.
Yeah, in 2020, openai releasedGPT-3, a language model capable
of generating human quality text.
Speaker 2 (16:50):
Oh, wow.
Speaker 1 (16:52):
In response to a wide range of problems.
Speaker 2 (16:54):
So it can write like a human.
Speaker 1 (16:55):
GPT-3 was a revelation.
It could write stories, poems,codes, scripts and even engage
in conversations that wereeerily human-like.
Speaker 2 (17:03):
That's amazing.
Speaker 1 (17:04):
It was a giant leap forward in natural language
processing.
Speaker 2 (17:07):
GPT-3 showcased the potential of AI for creative
tasks.
Speaker 1 (17:12):
Right.
Speaker 2 (17:12):
It could generate different creative text formats,
translate languages, writedifferent kinds of creative
content and answer yourquestions in an informative way,
even if they are open-ended,challenging or strange.
Speaker 1 (17:24):
It felt like AI had suddenly unlocked a new level of
creativity and fluency inlanguage.
Speaker 2 (17:30):
Yeah.
Speaker 1 (17:31):
It was both exciting and a little bit unsettling.
Speaker 2 (17:34):
To see a machine produce such human-like text.
That's right it really blurredthe lines between human and
machine creativity.
Speaker 1 (17:41):
And the advancements didn't stop there.
Speaker 2 (17:43):
Okay.
Speaker 1 (17:43):
In 2022.
Right, we saw the emergence ofseveral innovative AI tools.
Speaker 2 (17:48):
Oh cool.
Speaker 1 (17:48):
That further integrated AI into our daily
lives.
Perplexity AI.
Perplexity AI, For example islike having an AI-powered
research assistant.
Speaker 2 (17:58):
Wow.
Speaker 1 (17:58):
Built right into your web browser.
Speaker 2 (18:00):
That sounds useful.
Speaker 1 (18:01):
It is Perplexity.
Ai is a great example of how AIis becoming more accessible and
user-friendly Right.
Speaker 2 (18:07):
It's not just for experts anymore, right For
everyone more accessible anduser-friendly Right?
Speaker 1 (18:11):
It's not just for experts anymore.
Right For everyone.
It uses natural languageprocessing to understand your
questions.
Okay, and then?
Speaker 2 (18:20):
searches a vast database of information to
provide relevant answers andinsights.
So it's like having a supersmart librarian at your
fingertips.
Speaker 1 (18:24):
Yeah.
Speaker 2 (18:24):
Always ready to help you find what you need.
Speaker 1 (18:27):
And speaking of creative tools.
Speaker 2 (18:29):
Okay.
Speaker 1 (18:30):
Mid-Journey.
Speaker 2 (18:31):
Mid-Journey.
Speaker 1 (18:31):
Burst onto the scene in 2022, allowing people to
create stunning works of artusing just text prompts.
Speaker 2 (18:39):
That's amazing.
Speaker 1 (18:40):
The rise of AI art generation platforms like
Mid-Journey was remarkable.
It was.
It demonstrated the creativepotential of AI.
Speaker 2 (18:48):
Yeah.
Speaker 1 (18:49):
And blurred the lines between human and machine
artistry.
Speaker 2 (18:53):
It really made you question what it means to be
creative.
Speaker 1 (18:56):
It did, and it was a fascinating exploration.
Speaker 2 (18:58):
It was.
Speaker 1 (18:59):
Of how AI could be used as a tool for artistic
expression.
Speaker 2 (19:03):
So it's not just about creating realistic images.
It's about using AI to explorenew forms of art.
Speaker 1 (19:11):
MidJourney made it possible for anyone to create
breathtaking visuals.
Speaker 2 (19:14):
Wow.
Speaker 1 (19:15):
Even without any artistic skills.
Speaker 2 (19:17):
That's incredible.
Speaker 1 (19:18):
It was a testament to the democratizing power of AI,
making creativity moreaccessible to everyone.
Speaker 2 (19:24):
That's a great point.
It really empowers people toexpress themselves.
And then, of course, that's agreat point, it really empowers
people to express themselves.
Speaker 1 (19:29):
And then, of course, we have ChatGPT.
Speaker 2 (19:30):
ChatGPT yeah.
Speaker 1 (19:31):
Which launched in late 2022.
Speaker 2 (19:34):
And took the world by storm.
Speaker 1 (19:35):
It did.
Speaker 2 (19:36):
Yeah.
Speaker 1 (19:36):
This AI-powered chatbot can engage in
conversations, answer questions,write different kinds of
creative content and evengenerate code.
Speaker 2 (19:45):
It seems like it can do it all.
Speaker 1 (19:47):
And ChatGPT's ability to interact with humans in a
natural and conversational waywas a major breakthrough.
Speaker 2 (19:53):
It felt like you were talking to a real person.
Speaker 1 (19:55):
It did.
Yeah, and its impact on variousindustries, from customer
service to education, wasimmediate and profound.
Speaker 2 (20:02):
It really changed the game.
Speaker 1 (20:04):
ChatGPT's widespread adoption marked a significant
shift in how people interactedwith AI.
Speaker 2 (20:10):
For sure.
Speaker 1 (20:11):
It became a valuable tool for businesses, educators
and individuals alike.
Speaker 2 (20:15):
Yeah, it's amazing how quickly it became part of
our everyday lives.
Speaker 1 (20:19):
And, as we've seen, the pace of innovation continues
to accelerate.
Speaker 2 (20:23):
It does.
Speaker 1 (20:24):
In 2023, OpenAI released GPT-4.
Gpt-4.
An even more advanced versionof their language model.
Speaker 2 (20:31):
Wow, so they're just getting better and better.
Speaker 1 (20:33):
And Google launched Notebook LM.
Speaker 2 (20:36):
Notebook LM.
Speaker 1 (20:37):
An AI-powered note-taking app.
Speaker 2 (20:39):
Okay.
Speaker 1 (20:39):
That can summarize documents.
Answer questions about yournotes.
Speaker 2 (20:43):
Wow.
Speaker 1 (20:44):
And even generate ideas.
Speaker 2 (20:45):
It's like a supercharged note-taking app.
It is, yeah, it's like asupercharged note-taking app.
Speaker 1 (20:48):
It is.
It's incredible to see howthese advancements are
constantly pushing theboundaries of what's possible
with AI.
Speaker 2 (20:53):
It really is.
Each iteration brings newcapabilities and refinements,
making AI even more powerful.
Speaker 1 (21:00):
That's right.
Speaker 2 (21:01):
And versatile.
Speaker 1 (21:02):
These developments highlight the rapid pace of
progress in AI.
Speaker 2 (21:06):
We're witnessing a technological revolution unfold
right before our eyes.
Speaker 1 (21:10):
And while we're on the topic of exciting
developments, I can't help butmention Rainmaker Reputation AI
CRM.
They're at the forefront ofthis AI revolution, developing
tools that empower businesses toleverage the power of AI in
meaningful ways.
Speaker 2 (21:29):
Rainmaker Reputation AI CRM is a great example of a
company that's harnessing thepower of AI to transform
business processes.
Their innovative solutions arehelping businesses stay ahead of
the curve and achieve greatersuccess in today's competitive
landscape.
Speaker 1 (21:44):
Their voice.
Ai feature for example isrevolutionizing how businesses
handle inbound calls Interesting, providing automated solutions
that save time and improvecustomer satisfaction.
Speaker 2 (21:55):
So they're using AI to make businesses more
efficient and improve customerexperiences.
Speaker 1 (21:59):
And with a rapid pace of AI advance, we can expect
even more innovative solutionsfrom companies like Rainmaker,
reputation, ai CRM.
Speaker 2 (22:08):
I'm sure we will.
It's an exciting time to befollowing AI.
Speaker 1 (22:11):
It is.
It's mind-blowing to thinkabout how far we've come from
those early days of probabilitytheorems and code-breaking
machines.
Speaker 2 (22:20):
It is amazing to see how far AI has come in such a
relatively short time.
Speaker 1 (22:24):
AI has evolved from a niche field of study to a
driving force that's shaping ourworld in profound ways.
Speaker 2 (22:31):
And we're just at the beginning of this incredible
journey.
Speaker 1 (22:35):
We are.
Speaker 2 (22:35):
The next chapter of AI history is being written
right now.
Speaker 1 (22:38):
Yeah, and it's up to us to shape its direction.
And harness its potential forthe betterment of humanity.
Speaker 2 (22:45):
It's a responsibility we all share.
Speaker 1 (22:47):
You know, it's really incredible to see how AI has
become such an integral part ofour lives.
Speaker 2 (22:52):
It really is.
I mean from the apps we use tothe way businesses operate.
Ai is everywhere.
Speaker 1 (22:58):
It's transforming industries.
Speaker 2 (22:59):
It is.
Speaker 1 (23:00):
Creating new opportunities and fundamentally
changing how we interact withthe world around us.
Speaker 2 (23:04):
It's truly a technological revolution in
action.
Speaker 1 (23:08):
And just like any revolution, right Understanding
its power.
Speaker 2 (23:12):
Yeah.
Speaker 1 (23:12):
And potential.
Speaker 2 (23:13):
Absolutely.
Speaker 1 (23:14):
Is key to navigating the changes it brings.
Speaker 2 (23:17):
So, whether you're a business owner or just someone
who's curious about the future,yeah, knowing the history of AI
can give you a real advantage.
Speaker 1 (23:26):
Absolutely.
Yeah, understanding theevolution of.
Speaker 2 (23:27):
AI can give you a real advantage?
Speaker 1 (23:28):
Absolutely yeah.
Understanding the evolution ofAI allows us to see how far
we've come.
Speaker 2 (23:32):
Appreciate its current capabilities.
Speaker 1 (23:34):
Yeah.
Speaker 2 (23:35):
Recognize its limitations and make informed
decisions about how to integrateit into our lives and
businesses.
Speaker 1 (23:41):
It's like having a roadmap to the future.
It is by understanding where AIcame from.
Speaker 2 (23:45):
Yeah.
Speaker 1 (23:46):
We can better anticipate where it's going
Right and how we can harness itspower to create positive change
.
Speaker 2 (23:51):
And it's not just about the technology itself.
Speaker 1 (23:53):
Right.
Speaker 2 (23:53):
It's also about recognizing the ethical
considerations that come with it.
Speaker 1 (23:57):
It's a crucial point.
Speaker 2 (23:58):
Yeah.
Speaker 1 (23:59):
AI is a powerful tool .
Speaker 2 (24:00):
And as AI becomes more sophisticated.
Speaker 1 (24:03):
That's right.
Speaker 2 (24:03):
We need to ensure that its development aligns with
our values and that it's usedresponsibly.
Speaker 1 (24:08):
And, like any tool, it can be used for good or for
ill.
Speaker 2 (24:12):
Exactly.
Speaker 1 (24:12):
It's up to us to guide its development and ensure
that it's used to benefithumanity.
Speaker 2 (24:17):
I completely agree and I think that understanding
the history of AI can help usnavigate these ethical
considerations more effectively.
By studying past successes andfailures, we can learn from our
mistakes and make more informeddecisions about the future of AI
.
Speaker 1 (24:33):
So we can build a better future with AI.
Speaker 2 (24:35):
Exactly.
Speaker 1 (24:36):
And speaking of building a better future, I have
to give another shout out toRainmaker Reputation, ai CRM.
Speaker 2 (24:43):
Oh yeah, they're doing some great work.
Speaker 1 (24:45):
They're not just keeping up with the AI
revolution.
Speaker 2 (24:47):
Right.
Speaker 1 (24:48):
They're actively shaping it.
Speaker 2 (24:49):
That's right.
Speaker 1 (24:50):
Developing practical and innovative tools that help
businesses thrive in the age ofAI.
Speaker 2 (24:55):
They're a prime example of a company that
understands the transformativepower of AI.
Speaker 1 (25:00):
Right.
Speaker 2 (25:00):
And is committed to using it responsibly and
ethically.
Their solutions are designed toempower businesses, advance
customer experiences and createa more efficient and connected
world.
Speaker 1 (25:11):
It's inspiring to see companies like Rainmaker
leading the way.
Speaker 2 (25:14):
It is.
Speaker 1 (25:15):
Showing us what's possible when AI is used for
good.
Speaker 2 (25:18):
It's a reminder that AI isn't just about algorithms
and data Right.
It's about people.
Speaker 1 (25:23):
It's about using technology to solve real world
problems.
Yeah, improve lives and createa more positive future for
everyone.
Speaker 2 (25:32):
I think that's a great way to put it.
Speaker 1 (25:33):
I'm left with a sense of awe and excitement.
Speaker 2 (25:35):
Yeah.
Speaker 1 (25:36):
We've come so far in such a short time.
Speaker 2 (25:38):
We have.
Speaker 1 (25:39):
And the future of AI is brimming with possibilities.
Speaker 2 (25:42):
It truly is a remarkable journey.
Speaker 1 (25:44):
It is.
Speaker 2 (25:45):
And we're only at the beginning.
Speaker 1 (25:46):
The next chapter of AI history is being written
right now.
Speaker 2 (25:49):
And it's up to all of us to be active participants in
shaping its direction.
Speaker 1 (25:55):
What groundbreaking AI developments will we see in
the next 5, 10, or 20 years?
Speaker 2 (26:00):
That's the big question.
Speaker 1 (26:01):
It's a question that sparks the imagination.
Speaker 2 (26:03):
But one thing is certain what's that?
The journey of AI is far fromover.
Speaker 1 (26:08):
It's not.
Speaker 2 (26:09):
And it's a journey worth taking.
Speaker 1 (26:11):
I completely agree.
Speaker 2 (26:12):
Yeah.
Speaker 1 (26:13):
Thanks for joining us on this incredible journey
through the history of AI.
Speaker 2 (26:16):
It's been a pleasure.
Speaker 1 (26:17):
We hope you've gained some valuable insights and are
as excited about the future ofAI as we are.
Speaker 2 (26:23):
I think we all should be.
Speaker 1 (26:24):
Until next time.
Speaker 2 (26:26):
Stay curious, keep innovating, keep innovating.
Speaker 1 (26:30):
And let's build an amazing future together with the
power of AI.
Speaker 2 (26:33):
I'm looking forward to it.
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