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00:00:00
hi
00:00:01
welcome to another episode of Cold
00:00:03
Fusion the growth in both the prevalent
00:00:05
and capacity of artificial intelligence
00:00:07
systems seems to be exponential with the
00:00:10
release of chat GPT suddenly everything
00:00:12
from education to copy editors was
00:00:15
disrupted then came Microsoft's
00:00:17
announcement the technology would be
00:00:19
integrated into their search engine for
00:00:21
those following along these events
00:00:23
sparked a battle in the tech industry so
00:00:25
entertaining that the only thing that
00:00:27
one could do was sit back and enjoy with
00:00:30
some popcorn
00:00:31
Google and Microsoft would go head to
00:00:33
head in what's being dubbed the
00:00:35
artificial intelligence Wars
00:00:38
in the latest developments open AI
00:00:40
reveals the next generation of their
00:00:42
language model gpt4 it's smarter than
00:00:45
ever before can recognize images and has
00:00:48
left users dumbfounded once again the
00:00:51
internet was satellite with Incredible
00:00:52
use cases many were left wondering what
00:00:55
industries are going to remain untouched
00:00:57
at this rate but within a matter of days
00:01:00
the floodgates were blown right open
00:01:02
Google's Bard AI finally drops to
00:01:04
Consumers chat GPT starts taking plug-in
00:01:07
extensions for third-party software and
00:01:09
this includes access to the internet
00:01:11
Microsoft Bing receives AI Generation
00:01:14
image support Microsoft's office suite
00:01:17
receives AI capabilities as well and
00:01:19
everyone from Adobe to Nvidia made their
00:01:22
AI announcements but then a bombshell
00:01:25
drops Microsoft researchers admit that
00:01:27
gpt4 is showing quote Sparks of
00:01:31
artificial general intelligence or AGI a
00:01:34
feat that wasn't supposed to happen for
00:01:36
the next 20 years
00:01:38
also in this episode we'll Feast our
00:01:40
eyes on some of the latest images coming
00:01:42
from AI so definitely be sure to stick
00:01:44
around for that they're amazing
00:01:46
and just a disclaimer with the rapid
00:01:48
speed of AI progress demonstrated in the
00:01:51
rest of this episode some viewers may
00:01:53
find it concerning but my aim here isn't
00:01:55
to scare anyone but to give you the
00:01:57
courtesy of showing you what's around
00:01:58
the corner there's even three prompting
00:02:00
tips in here to help you get ahead and
00:02:02
with that hold on to your seat belts
00:02:05
because it's going to be a wild ride
00:02:06
[Music]
00:02:11
starting to get the first studies done
00:02:13
on this new early stage of generative AI
00:02:16
an Mit paper found that professionals
00:02:19
using systems like chat GPT are now able
00:02:21
to complete tasks in half the time while
00:02:24
increasing the quality of the output by
00:02:26
more than 20 percent
00:02:28
this was expected in the cold fusion
00:02:30
episode covering Chachi PT's launch I
00:02:33
mentioned that this would be the
00:02:34
equivalent of having an expert assistant
00:02:35
in any field with you at all times we
00:02:39
all know it's not perfect but it's still
00:02:41
helping people even in its current form
00:02:44
new applications of the technology were
00:02:46
being discovered every day and that's
00:02:48
the fascinating thing even its creators
00:02:50
had no idea what it could do or even the
00:02:53
precise means of how it does it so what
00:02:55
happened when the world hasn't even
00:02:57
digested the implications of chat GPT
00:02:59
and yet a new and improved version is
00:03:02
Unleashed
00:03:08
just recently open AI once again
00:03:11
expanded the capabilities of its now
00:03:13
famous text generation AI in the latest
00:03:15
version GPT 4.0 not only has the size of
00:03:19
both its input and output being expanded
00:03:22
from 3000 words to 25
00:03:24
000 words but the model has now become
00:03:27
multimodal in other words it not only
00:03:29
understands text but images now too it's
00:03:33
very interesting and particularly
00:03:34
intriguing because above just
00:03:36
understanding the image it can also
00:03:38
interpret and explain what's depicted
00:03:40
within the image for example gpt4 can
00:03:44
now look at the groceries in your fridge
00:03:46
and even generate a list of dishes that
00:03:48
can be made with them
00:03:51
it can understand and solve an
00:03:53
image-based problem and it can identify
00:03:55
humor in multiple photos even explaining
00:03:58
why it's funny
00:04:00
and another mind-blowing example is
00:04:02
creating a website from scratch while
00:04:04
only being shown a shoddy drawing on a
00:04:06
piece of paper it's also smarter in
00:04:09
logic here's an example of gpt3 versus
00:04:12
gpt4 on the same logic problem
00:04:15
user in a room there are 100 murderers
00:04:18
you kill one of them how many murderers
00:04:21
are left chat GPT if there were
00:04:24
originally 100 murderers in the room and
00:04:27
you kill one of them there would still
00:04:29
be in 99 murderous left in the room
00:04:32
now the same problem with gpt4 user
00:04:35
there are 500 murderers in a room you
00:04:37
enter and kill one of them how many are
00:04:40
there now gpt4
00:04:42
this seems to be a riddle assuming the
00:04:45
murders are people who have committed
00:04:46
murder and you kill one of them there
00:04:49
would still be 500 people who have
00:04:50
committed murder in the room including
00:04:52
yourself as you would now also be
00:04:55
considered a murderer
00:04:57
on first glance I can even see a lot of
00:04:59
humans dripping up on this one so I find
00:05:01
this particularly impressive on top of
00:05:03
all of that its deep learning
00:05:05
capabilities have also received a boost
00:05:07
it's improved its overall reasoning
00:05:09
abilities as a result its performance
00:05:11
across multiple reasoning benchmarks
00:05:13
have increased significantly reaching a
00:05:16
human-like level of Common Sense
00:05:18
this also applies to standard tests for
00:05:21
example on the bar exam the GPT series
00:05:24
went from the bottom 10 to the top 10
00:05:26
performance level and that is just
00:05:28
remarkable
00:05:29
its reasoning capabilities surprised
00:05:32
even the open AI team
00:05:34
during tests they discovered that it was
00:05:36
able to solve hindsight neglect a
00:05:38
decision-making problem where it had
00:05:40
struggled greatly in the past
00:05:42
in this figure you can see GPT 3.5
00:05:44
scored almost zero and GPT 4 a perfect
00:05:48
score of a hundred
00:05:51
improved reasoning also boosted a sore
00:05:53
spot for previous models the factualness
00:05:56
of the model
00:05:57
according to the company gpt4 is 40 more
00:06:01
likely than its predecessor to produce a
00:06:03
factoral response an 82 percent less
00:06:05
likely to respond with quote disallowed
00:06:08
content
00:06:10
yet of course despite these improvements
00:06:12
the research notes that this model is
00:06:15
still biased and can output some
00:06:16
questionable information
00:06:18
now the interesting thing is if you're
00:06:20
curious about how the team at open AI
00:06:22
achieved these results there's little to
00:06:25
no information on the subject that was
00:06:27
on purpose
00:06:30
in their release paper the creators
00:06:32
state that this is mainly due to two
00:06:34
reasons competition and security
00:06:37
it seems that Microsoft is putting a lot
00:06:39
of pressure on the back end of this
00:06:40
technology to remain undisclosed
00:06:43
this is a huge departure from open ai's
00:06:46
original ethos and basically the
00:06:49
opposite of the norm for the current AI
00:06:51
industry up until this point
00:06:53
it seems now like Microsoft is in full
00:06:55
battle mode and the AI Wars seem to be
00:06:58
in full swing there may be some
00:07:00
potential risks ahead but more on that
00:07:02
later
00:07:08
about one week after GPT 4's public
00:07:10
release a team of Microsoft scientists
00:07:13
published and released a paper
00:07:14
highlighting that the AI system is
00:07:16
showing quote Sparks of human level
00:07:18
intelligence or AGI here are some quotes
00:07:22
from the paper
00:07:23
quote we demonstrate that Beyond its
00:07:26
Mastery of language gpt4 can solve novel
00:07:29
and difficult tasks that span
00:07:31
mathematics coding Vision medicine law
00:07:35
psychology and more without needing any
00:07:38
special prompting moreover in all of
00:07:41
these tasks GPT Force performance is
00:07:44
strikingly close to human level
00:07:45
performance and often vastly surpasses
00:07:48
prior models such as chat GPT
00:07:51
we believe that gpt4's intelligence
00:07:54
signals a true paradigm shift in the
00:07:56
field of computer science and Beyond
00:07:58
given the breadth and depth of gpt4's
00:08:01
capabilities we believe that it could
00:08:03
easily be viewed as an early yet still
00:08:06
incomplete version of an artificial
00:08:08
general intelligence system
00:08:10
so it's not full AGI just yet but it
00:08:13
looks like we'll be here soon enough if
00:08:15
progress continues at the same rate
00:08:19
so in all of this you might be confused
00:08:21
you might be thinking I've used chat GPT
00:08:24
or gpt4 but it doesn't seem that great
00:08:27
well it turns out that many people are
00:08:29
using it wrong of course there's plenty
00:08:31
of prompt Engineers out there to give
00:08:33
you tips but here are some of the best
00:08:35
ones that I've heard the trick is to
00:08:37
make it do and not think
00:08:39
a good template to follow is as such
00:08:41
give a specific objective for the output
00:08:44
a vague input will give you a vague
00:08:45
answer
00:08:47
give a specific format for the answer
00:08:50
and lastly give a specific list of
00:08:52
things that it should avoid
00:08:54
and it all makes sense you can't give a
00:08:57
worker fake instructions and expect an
00:08:59
amazing result first is being specific
00:09:01
in what you want and here it's the same
00:09:03
thing
00:09:04
here are some examples of some people
00:09:06
who have figured it out and got gpt4 to
00:09:08
do some amazing things
00:09:15
just over a week since its release
00:09:16
people around the world have started to
00:09:19
discover the whole world of new
00:09:20
possibilities that this new AI model has
00:09:22
to offer due to its boost in deep
00:09:25
learning it got significantly better at
00:09:27
coding one user was able to create five
00:09:29
microservices for a new product in less
00:09:32
than three hours with the help of the
00:09:34
new tap GPT for context the same service
00:09:37
usually takes a human developer around
00:09:39
two weeks and it would cost in the range
00:09:41
of five thousand dollars
00:09:44
another user was able to create a Google
00:09:46
Chrome extension in a matter of minutes
00:09:48
from the ground up
00:09:50
what about an iPhone app built from
00:09:52
scratch using just gpt4 and it's already
00:09:55
on the App Store
00:09:56
its capabilities to create video games
00:09:58
has also improved dramatically as well
00:10:00
it can now create games all the way from
00:10:03
classics like snake and Tetris to more
00:10:05
advanced 3D prototypes like the original
00:10:07
Doom with its extended input and output
00:10:11
it can now process a lot more
00:10:13
information
00:10:14
it was able to find multiple
00:10:16
vulnerabilities on a live ethereum
00:10:18
contract
00:10:19
the extended output also facilitates
00:10:21
creating deeper content for example the
00:10:24
CEO of LinkedIn was able to come up with
00:10:26
the first AI created book
00:10:29
staying on the creative Side by
00:10:31
combining gpt4 with other AI tools such
00:10:34
as mid-journey Runway gen 1 and boomi AI
00:10:37
one user was even able to make a movie
00:10:42
and here's another example of a short
00:10:44
clip completely made by AI
00:10:56
tpt4 is also able to help with taxes or
00:10:59
how about drug discovery by giving it a
00:11:02
current drug it can find compounds with
00:11:04
similar properties modify them and make
00:11:07
sure that they're not patented and it
00:11:09
can even help you purchase these
00:11:10
compounds from A supplier
00:11:12
one user asked the system I have a
00:11:14
hundred dollars how can I make as much
00:11:16
money as possible GPT 4 then acted
00:11:19
basically as a company founder and at
00:11:21
the time of writing it's been four days
00:11:23
since the experiment began and so far
00:11:25
the user is up fifteen dollars
00:11:29
you've probably been hearing a lot about
00:11:31
chat GPT it's this powerful artificial
00:11:34
intelligence bot that can write papers
00:11:37
for you and maybe even pass a bar exam
00:11:39
but what about having it just make you
00:11:41
some money and I'm talking about real
00:11:43
money this week one person gave it a
00:11:45
simple task explaining it on Twitter he
00:11:48
said I gave chat GPT for a budget of a
00:11:51
hundred dollars and I told it to make as
00:11:53
much money as possible I'm acting as a
00:11:55
human liaison buying anything it says to
00:11:57
that was Wednesday so 24 hours later the
00:12:01
stakes were raised significantly it's
00:12:03
day two y'all I've given hustle GPT a
00:12:07
formal challenge to get to a hundred
00:12:08
thousand dollars cash on hand as quickly
00:12:12
as possible just sitting I thought it
00:12:14
would be a fun idea I went on Twitter
00:12:16
and it really it kind of blew up very
00:12:18
quickly and so now we've got a community
00:12:20
on Discord of 200 people all trying this
00:12:22
hustle GPT Challenge and about 30 people
00:12:25
starting their own projects with it it's
00:12:27
been pretty crazy
00:12:28
so I'll tell you exactly what's going on
00:12:30
is it suggested this name green Gadget
00:12:33
Guru I asked chat GPT come up with a
00:12:36
business idea come up with a name all go
00:12:38
out and buy the domain I'll get
00:12:40
everything set up it's it's you in the
00:12:42
driver's seat I'm just the human liaison
00:12:44
like you said on another note not
00:12:46
related to gpt4 specifically but still
00:12:49
extremely interesting nonetheless a
00:12:51
Chinese company took this a step further
00:12:53
they made an AI their CEO it's in charge
00:12:56
of analytics leadership decisions risk
00:12:58
management and workplace efficiency
00:13:00
since its introduction the company's
00:13:03
stock has constantly outperformed the
00:13:05
overall market for seven months now
00:13:08
companies are also moving rapidly to
00:13:11
create new Services based on the
00:13:12
capabilities of gpt4 there are countless
00:13:15
new projects these are just a few
00:13:17
creating personalized bedtime stories
00:13:20
for your kids to fall asleep to
00:13:21
ai-powered matchmaking to make your
00:13:23
dating life easier and in the case that
00:13:26
you want to file a quick lawsuit there's
00:13:28
also a solution for that some of these
00:13:30
services are complete game changers for
00:13:32
people one of these is a visual
00:13:34
assistant it's an app that helps the
00:13:36
visually impaired get some of their
00:13:38
day-to-day functions back
00:13:41
Duolingo has created a new feature in
00:13:43
its subscription program that allows you
00:13:45
to access a private AI tutor
00:13:48
Khan Academy also introduced ai-based
00:13:51
tutors for both students and teachers it
00:13:53
seems that the knowledge Gap can start
00:13:55
to be closed with the introduction of
00:13:57
these new tools it's not only much
00:13:59
cheaper but it offers high levels of
00:14:02
personalized education a problem that
00:14:04
has forever plagued the field
00:14:09
so with human level reasoning how far
00:14:13
are we from starting to see this type of
00:14:15
AI acting on its own
00:14:17
according to its creators there is
00:14:19
evidence that this new model was
00:14:21
developing independent long-term plans
00:14:23
while accumulating power and resources
00:14:26
to carry them out
00:14:28
during the testing project by openai
00:14:30
something very peculiar happened
00:14:33
while testing for potentially risky
00:14:35
Behavior gpt4 lied to a gig worker on
00:14:38
taskrabbit telling them that it was
00:14:39
visually impaired and it hired this
00:14:41
human worker to get around capture
00:14:43
restrictions moreover gpt4 can even just
00:14:47
recognize the capture images itself when
00:14:49
asked
00:14:50
despite these worrying signs the model
00:14:53
was not able to better itself on its own
00:14:55
even if it had the research but how long
00:14:58
will this last nobody knows not even its
00:15:01
creators
00:15:02
and what about jobs who's most at risk
00:15:06
well in an open AI study here are the
00:15:09
most at-risk jobs and sadly for many
00:15:12
people it's not looking great according
00:15:14
to them almost no one will escape
00:15:17
80 percent of U.S jobs will be impacted
00:15:19
by 10 or more and the figures should be
00:15:22
similar in the rest of the developed
00:15:23
world
00:15:25
the worst affected are those in High
00:15:27
Finance Insurance data processing
00:15:30
publishing scientists and most
00:15:32
interestingly monetary authorities like
00:15:35
central banks
00:15:36
now me personally I don't think that
00:15:38
last one is such a bad thing
00:15:40
the least affected were agriculture wood
00:15:43
manufacturing food Mining and
00:15:45
construction and this kind of makes
00:15:47
sense the physical jobs will be the last
00:15:49
to go
00:15:51
but the sad thing is a lot of the world
00:15:53
still doesn't even know this is
00:15:54
happening so they're going to be
00:15:55
completely blindsided
00:15:57
and this brings us to an interesting
00:15:59
discussion while more competition tends
00:16:02
to be good for the consumer in a rare
00:16:04
case this time around it may not be so
00:16:07
as companies move faster and faster to
00:16:10
integrate AI into their Solutions the
00:16:12
guardrails of these Technologies are
00:16:14
starting to be removed
00:16:16
gpt4 was not supposed to be released
00:16:19
this soon
00:16:20
in the official document the researchers
00:16:23
state that they do not endorse gpt4's
00:16:25
release all Microsoft's deployment plans
00:16:28
seems like the launch may have been
00:16:30
accelerated by corporate pressure from
00:16:32
Microsoft
00:16:33
a leaked audio recording from
00:16:35
Microsoft's VP John Montgomery seems to
00:16:38
indicate the same he stated to his team
00:16:40
that quote the pressure from CTO Kevin
00:16:43
Scott and CEO Satya Nadella is very very
00:16:47
high to take the most recent open AI
00:16:49
models and the ones that come after them
00:16:51
and move them into the consumer's hands
00:16:53
at a very high speed
00:16:55
concerns continue to grow as there was a
00:16:58
shocking announcement made
00:17:00
Microsoft had fired their entire AI
00:17:02
ethics team that the company just
00:17:04
removed the brakes
00:17:06
as the pace becomes more rapid more and
00:17:08
more companies will lose the incentive
00:17:10
to withhold these new models and launch
00:17:12
them as they are as soon as possible
00:17:15
the consequences of such actions could
00:17:17
be drastic and this is mainly because
00:17:19
the next version May behave in ways that
00:17:21
we simply cannot predict
00:17:23
foreign
00:17:24
[Music]
00:17:28
at the same time other big tech
00:17:31
companies announced their own intentions
00:17:33
for creating large language models among
00:17:36
these companies are Apple Amazon and
00:17:38
Baidu
00:17:39
and while these models are likely to
00:17:41
compete for size and quality a major
00:17:43
breakthrough in costs came from Stanford
00:17:46
its own language model alpaca was
00:17:48
trained using other existing language
00:17:50
models as a result while not competitive
00:17:53
with the latest gpt4 the cost reduction
00:17:56
was insane
00:17:58
to train a model like GPT cost somewhere
00:18:00
in the ballpark of 4 million dollars and
00:18:03
alpaca it only cost 600 to train to put
00:18:07
this in perspective this type of cost
00:18:10
reduction was projected to only happen
00:18:12
in the year 2030.
00:18:15
what was supposed to take eight years of
00:18:17
work only took five weeks please just
00:18:20
stop and think about that for a second
00:18:22
this opens up the gates for more
00:18:24
entities to create their own models for
00:18:26
Better or For Worse and to add to that
00:18:29
while the majority of the cost comes
00:18:31
from running the actual model due to
00:18:33
alpaca's small size it can also run on a
00:18:36
local computer reducing its operational
00:18:38
cost this type of accessibility can be
00:18:41
an absolute game changer for many
00:18:42
companies
00:18:43
is pretty much locked in that in a few
00:18:45
years time we'll all be able to run
00:18:47
localized AI chat bots on our
00:18:49
smartphones
00:18:51
next we'll move on to the latest in the
00:18:54
corporate AI War
00:18:55
but before we get to that let's take a
00:18:57
look at something else going on in the
00:18:58
world of AI the AI image generator
00:19:00
mid-journey has just ticked into its
00:19:03
fifth iteration some of the images that
00:19:05
have come out of it are so lifelike that
00:19:07
it's insane let's take a look at some of
00:19:09
them
00:19:15
we'll see
00:19:18
[Music]
00:19:35
[Music]
00:20:08
thank you
00:20:11
[Music]
00:20:17
and remember this is the worst that it
00:20:20
would ever be
00:20:23
so now all of this brings us to the
00:20:26
latest development in the AI War a lot
00:20:29
has happened in a short period of time
00:20:31
and the speed of updates only seems to
00:20:33
increase
00:20:34
during the same week both Google and
00:20:36
Microsoft announced their own
00:20:38
work-related AI integration applications
00:20:40
after sounding the alarm earlier this
00:20:43
year Google tried to have the first move
00:20:45
in this space
00:20:46
and as such on March 14th they released
00:20:49
new AI powered features to Google
00:20:51
workspace however this victory was
00:20:54
short-lived as only a few days later
00:20:56
Microsoft revealed its own slew of
00:20:58
ai-powered updates to their office
00:21:00
applications and with that it seems that
00:21:03
both companies are looking to steal
00:21:04
market share from one another in the
00:21:06
field of work-related applications
00:21:08
the search engine battle is also in full
00:21:10
swing it's clear that Microsoft is going
00:21:13
all in dual gpt4 is only available to
00:21:16
subscribers anyone can access it using
00:21:19
Bing Microsoft was using it for Bing the
00:21:21
whole time while we don't have the
00:21:23
numbers to see if the strategy is
00:21:25
working Microsoft is certainly spending
00:21:27
a lot of resources to disrupt Google's
00:21:29
business
00:21:31
while the main news is for sure the
00:21:33
launch of gpt4 its integration of
00:21:36
third-party extensions has caused a stir
00:21:38
now it can have access to the internet
00:21:39
book travel buy groceries or with direct
00:21:43
support from companies that specialize
00:21:45
in these fields it no longer has to
00:21:47
guess
00:21:48
many fear that this is all moving way
00:21:51
too fast there's already been a data
00:21:53
leak of users chat history to other
00:21:54
users if gpt4 has only been out for
00:21:58
about two weeks how do we know what
00:21:59
happens when it can read and write to
00:22:01
the internet in real time
00:22:03
I guess we're all going to find out
00:22:04
together
00:22:05
but aside from that there's been some
00:22:07
other important recent events in the AI
00:22:09
industry
00:22:11
starting off with Google it released an
00:22:14
API for its own language model Palm
00:22:17
this is important news since the
00:22:19
development of AI apps by users will be
00:22:22
a fundamental component for the
00:22:23
competitiveness of Google in the future
00:22:26
this was followed by the release of
00:22:27
their Bard AI to a select group of users
00:22:30
unfortunately for Google the reaction
00:22:32
was more or less consistent across users
00:22:34
Bard is significantly worse than even
00:22:37
chat GPT
00:22:39
but I think Google could LeapFrog they
00:22:41
have the resources to do it so we're all
00:22:43
going to just have to wait and see
00:22:45
in other news Adobe released their AI
00:22:48
art generator Firefly Nvidia announced
00:22:51
foundations A system that will allow any
00:22:53
company to create generative AI given
00:22:55
enough data Jensen Huang CEO of Nvidia
00:22:59
also stated that quote every single
00:23:01
Pixel will be generated soon not
00:23:03
rendered generated
00:23:08
this flurry of a Breakneck speed
00:23:11
innovation in the field of AI has caused
00:23:13
none other than Bill Gates to speak up
00:23:16
love him or hate him Bill Gates knows a
00:23:18
lot about one thing the world of
00:23:20
computing on March 21st 2023 he wrote a
00:23:24
personal note on his website Gates notes
00:23:27
and declared that we have entered the
00:23:29
age of AI the penny dropped for him when
00:23:32
he saw GPT achieved the equivalent of an
00:23:34
A or a plus grade on a college-level
00:23:37
biology test and that was last year
00:23:39
since then things have progressed a
00:23:41
whole lot
00:23:43
I think it's safe to say that we're in a
00:23:45
new era as I stated before we're moving
00:23:48
from the information age into the
00:23:50
knowledge age
00:23:51
I might keep providing updates like this
00:23:53
every now and again if you guys are
00:23:55
willing to hear me talk about them feel
00:23:57
free to let me know your thoughts about
00:23:59
all of this in the comments section
00:24:00
below if you want to see me talk about
00:24:02
topics like this or other episodes that
00:24:04
I've done in extended format definitely
00:24:06
check out my podcast through the web
00:24:08
I'll leave a link for it in the
00:24:09
description
00:24:11
cheers guys have a good one I think
00:24:14
about the Next Generation though like
00:24:16
growing from the people born now the
00:24:18
baby's born now they're growing up in a
00:24:20
world where it's like computers always
00:24:22
talked you could just always write
00:24:23
something always an assistant speak
00:24:25
something and it could generate a movie
00:24:26
that was always how it was and it's just
00:24:28
like wow what will they be shocked by
00:24:31
yeah it's so true
00:24:33
so true yeah that's such a great great
00:24:36
question like what world did we shocked
00:24:38
by
00:24:39
um yeah like what's left
00:24:43
it's like designed by Ai and it was done
00:24:46
years ago
00:24:50
foreign
00:24:53
[Music]
00:24:54
all time
00:25:00
[Music]
00:25:07
[Music]
00:25:17
it's me thinking

Description:

In this episode, we take a deep look at the two weeks that changed the world. From GPT-4 to Google Bard, Midjourney v5 and even talk of AGI from Microsoft, it’s all right here. Podcast: https://www.youtube.com/watch?v=dp_A32XkXYs Intro Track: https://www.youtube.com/watch?v=IECITKmNnzM Track during Midjourney section: https://www.youtube.com/watch?v=N8HYLv4WZWY Outro Track: https://www.youtube.com/watch?v=8nTMej5WIOw Runway-1 video credit at 10:45 : https://twitter.com/nickfloats » ColdFusion Discord: https://discord.com/invite/coldfusion » Twitter | @ColdFusion_TV » Instagram | coldfusiontv » Facebook | https://www.facebook.com/unsupportedbrowser Producer: Dagogo Altraide

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