2024-02-04T05:29:20.370Z
nova-2
2-general-nova
2024-01-09.29447
30089e05-99d1-4376-b32e-c263170674af
c4e5678b-3df0-40d3-83cc-ef94d7bbedeb
cfeaf8a2c036f8e9d04348df63ef4b5f434e156c748e88a1f487595af2c07cdd
67875a7f-c9c4-48a0-aa55-5bdb8a91c34a
deprecated
It is April 7th, 2022.
And you're watching the code report.
Machine intelligence is the last invention humanity will ever need to make.
AI has already made many jobs obsolete and is well on its way to replacing pilots, doctors, soldiers, and of course, us programmers.
1 of the last bastions of humanity is art, Bert, or so we thought.
As of yesterday, digital artists and designers have been put on notice.
OpenAI, the team behind GPT 3, just announced DALL A 2, a neural network that can turn natural language into images, and it's some of the wildest technology you've ever seen.
Imagine I gave you a requirement to draw something ridonculous, like a bowl of soup that looks like a monster spray painted on a wall.
DALL A can create realistic novel images that have never been seen before from a simple text prompt like that.
At.
If we tweak the request a little bit, asking it to look like plasticine, we get totally different results.
We can ask it for pencil drawings, styles inspired by famous artists, Photorealistic renderings and really anything you can imagine because the AI is built on top of 40,000 years of human artwork going all the way back to cave drawings.
This tool is not open to the public yet, but the OpenAI team was nice enough to generate a ship sailing through a sea of fire for me.
In addition To unique image generation, it can also replace things in existing images, like when you need to insert your ex girlfriend into an Instagram photo.
It can also take an image as an input, then create a bunch of different variations with different styles and angles.
Pretty terrifying, I mean awesome, but how does this thing actually work?
Well, it's Based on GPT 3, the same model that powers things like GitHub Copilot for writing code.
It's trained on a massive collection of images with labeled text descriptions.
Most importantly, Like, it understands how different objects in an image relate to each other, like how a panda relates to a skateboard relates to Santa Monica.
There's It's a paper titled hierarchical text conditional image generation with clip latents, if you want to get into the finer details.
But, basically, it's a decoder or transformer from that uses a process called diffusion, which starts with a pattern of random pixels that are gradually moved around until they satisfy the text this input.
To make high quality images, it generates 512 different possible outcomes, then uses a neural network called CLIP to predict human aesthetic judgments by ranking the results and rejecting the ones that don't look good.
Pretty amazing, and it feels like one step closer to artificial general intelligence.
But what does a tool like this mean for the world?
Here are my initial thoughts.
This could put a big dent into businesses like Istock and Shutterstock if everybody can just create their own original stock photography.
Photoshop as a tool might become way less important because this is essentially an automatic Photoshop.
Now when it comes to NFTs, which are already oversaturated, someone could instantly flood the market with tons of unique art.
How about website and logo design?
You can just pick your favorite website or logo, then generate a 1000000 different unique variations.
Realistically though, it's not going to replace designers anytime soon.
In fact, it should be a very useful tool for them, like Copilot is for programmers.
The big question though is what does it mean for memes?
I think memes will be safe for the time being.
I can also imagine a lot but a potential for abuse with a tool like this by creating explicit or offensive content.
Now, I have to be real with you guys.
This report is very troubling for me personally because the Writing is on the wall.
AGI is not far away.
Now that machines can clone voices, write code, and make art, it has all the skills to take my job.
Damn it.
I need your clothes, your boots, And your motorcycle.
This has been the Code Report.
Thanks for watching, and I will see you in the next one, maybe.

Speaker 0: It is April 7th, 2022. And you're watching the code report. Machine intelligence is the last invention humanity will ever need to make. AI has already made many jobs obsolete and is well on its way to replacing pilots, doctors, soldiers, and of course, us programmers. 1 of the last bastions of humanity is art, Bert, or so we thought.

As of yesterday, digital artists and designers have been put on notice. OpenAI, the team behind GPT 3, just announced DALL A 2, a neural network that can turn natural language into images, and it's some of the wildest technology you've ever seen. Imagine I gave you a requirement to draw something ridonculous, like a bowl of soup that looks like a monster spray painted on a wall. DALL A can create realistic novel images that have never been seen before from a simple text prompt like that. At.

If we tweak the request a little bit, asking it to look like plasticine, we get totally different results. We can ask it for pencil drawings, styles inspired by famous artists, Photorealistic renderings and really anything you can imagine because the AI is built on top of 40,000 years of human artwork going all the way back to cave drawings. This tool is not open to the public yet, but the OpenAI team was nice enough to generate a ship sailing through a sea of fire for me. In addition To unique image generation, it can also replace things in existing images, like when you need to insert your ex girlfriend into an Instagram photo. It can also take an image as an input, then create a bunch of different variations with different styles and angles.

Pretty terrifying, I mean awesome, but how does this thing actually work? Well, it's Based on GPT 3, the same model that powers things like GitHub Copilot for writing code. It's trained on a massive collection of images with labeled text descriptions. Most importantly, Like, it understands how different objects in an image relate to each other, like how a panda relates to a skateboard relates to Santa Monica. There's It's a paper titled hierarchical text conditional image generation with clip latents, if you want to get into the finer details.

But, basically, it's a decoder or transformer from that uses a process called diffusion, which starts with a pattern of random pixels that are gradually moved around until they satisfy the text this input. To make high quality images, it generates 512 different possible outcomes, then uses a neural network called CLIP to predict human aesthetic judgments by ranking the results and rejecting the ones that don't look good. Pretty amazing, and it feels like one step closer to artificial general intelligence. But what does a tool like this mean for the world? Here are my initial thoughts.

This could put a big dent into businesses like Istock and Shutterstock if everybody can just create their own original stock photography. Photoshop as a tool might become way less important because this is essentially an automatic Photoshop. Now when it comes to NFTs, which are already oversaturated, someone could instantly flood the market with tons of unique art. How about website and logo design? You can just pick your favorite website or logo, then generate a 1000000 different unique variations.

Realistically though, it's not going to replace designers anytime soon. In fact, it should be a very useful tool for them, like Copilot is for programmers. The big question though is what does it mean for memes? I think memes will be safe for the time being. I can also imagine a lot but a potential for abuse with a tool like this by creating explicit or offensive content.

Now, I have to be real with you guys. This report is very troubling for me personally because the Writing is on the wall. AGI is not far away. Now that machines can clone voices, write code, and make art, it has all the skills to take my job. Damn it.

I need your clothes, your boots, And your motorcycle. This has been the Code Report. Thanks for watching, and I will see you in the next one, maybe.
It is April 7th, 2022. And you're watching the code report. Machine intelligence is the last invention humanity will ever need to make. AI has already made many jobs obsolete and is well on its way to replacing pilots, doctors, soldiers, and of course, us programmers. 1 of the last bastions of humanity is art, Bert, or so we thought. As of yesterday, digital artists and designers have been put on notice. OpenAI, the team behind GPT 3, just announced DALL A 2, a neural network that can turn natural language into images, and it's some of the wildest technology you've ever seen. Imagine I gave you a requirement to draw something ridonculous, like a bowl of soup that looks like a monster spray painted on a wall. DALL A can create realistic novel images that have never been seen before from a simple text prompt like that. At. If we tweak the request a little bit, asking it to look like plasticine, we get totally different results. We can ask it for pencil drawings, styles inspired by famous artists, Photorealistic renderings and really anything you can imagine because the AI is built on top of 40,000 years of human artwork going all the way back to cave drawings. This tool is not open to the public yet, but the OpenAI team was nice enough to generate a ship sailing through a sea of fire for me. In addition To unique image generation, it can also replace things in existing images, like when you need to insert your ex girlfriend into an Instagram photo. It can also take an image as an input, then create a bunch of different variations with different styles and angles. Pretty terrifying, I mean awesome, but how does this thing actually work? Well, it's Based on GPT 3, the same model that powers things like GitHub Copilot for writing code. It's trained on a massive collection of images with labeled text descriptions. Most importantly, Like, it understands how different objects in an image relate to each other, like how a panda relates to a skateboard relates to Santa Monica.
neural networks
art
artificial intelligence
machine learning
robotics
graphic design
ibm
software
instagram
animation
crafts
software development
technology
deep learning
visualization
photography
computer science
linguistics
weapons
There's It's a paper titled hierarchical text conditional image generation with clip latents, if you want to get into the finer details. But, basically, it's a decoder or transformer from that uses a process called diffusion, which starts with a pattern of random pixels that are gradually moved around until they satisfy the text this input.
To make high quality images, it generates 512 different possible outcomes, then uses a neural network called CLIP to predict human aesthetic judgments by ranking the results and rejecting the ones that don't look good. Pretty amazing, and it feels like one step closer to artificial general intelligence. But what does a tool like this mean for the world? Here are my initial thoughts. This could put a big dent into businesses like Istock and Shutterstock if everybody can just create their own original stock photography. Photoshop as a tool might become way less important because this is essentially an automatic Photoshop. Now when it comes to NFTs, which are already oversaturated, someone could instantly flood the market with tons of unique art.
artificial intelligence
neural networks
machine learning
robotics
visualization
photography
modeling
art
graphic design
How about website and logo design? You can just pick your favorite website or logo, then generate a 1000000 different unique variations. Realistically though, it's not going to replace designers anytime soon. In fact, it should be a very useful tool for them, like Copilot is for programmers. The big question though is what does it mean for memes? I think memes will be safe for the time being. I can also imagine a lot but a potential for abuse with a tool like this by creating explicit or offensive content. Now, I have to be real with you guys. This report is very troubling for me personally because the Writing is on the wall. AGI is not far away.
Now that machines can clone voices, write code, and make art, it has all the skills to take my job. Damn it. I need your clothes, your boots, And your motorcycle. This has been the Code Report. Thanks for watching, and I will see you in the next one, maybe.
robotics
documentation
It is April 7th, 2022. And you're watching the code report. Machine intelligence is the last invention humanity will ever need to make. AI has already made many jobs obsolete and is well on its way to replacing pilots, doctors, soldiers, and of course, us programmers. 1 of the last bastions of humanity is art, Bert, or so we thought. As of yesterday, digital artists and designers have been put on notice. OpenAI, the team behind GPT 3, just announced DALL A 2, a neural network that can turn natural language into images, and it's some of the wildest technology you've ever seen. Imagine I gave you a requirement to draw something ridonculous, like a bowl of soup that looks like a monster spray painted on a wall. DALL A can create realistic novel images that have never been seen before from a simple text prompt like that. At. If we tweak the request a little bit, asking it to look like plasticine, we get totally different results. We can ask it for pencil drawings, styles inspired by famous artists, Photorealistic renderings and really anything you can imagine because the AI is built on top of 40,000 years of human artwork going all the way back to cave drawings. This tool is not open to the public yet, but the OpenAI team was nice enough to generate a ship sailing through a sea of fire for me. In addition To unique image generation, it can also replace things in existing images, like when you need to insert your ex girlfriend into an Instagram photo. It can also take an image as an input, then create a bunch of different variations with different styles and angles. Pretty terrifying, I mean awesome, but how does this thing actually work? Well, it's Based on GPT 3, the same model that powers things like GitHub Copilot for writing code. It's trained on a massive collection of images with labeled text descriptions. Most importantly, Like, it understands how different objects in an image relate to each other, like how a panda relates to a skateboard relates to Santa Monica. There's It's a paper titled hierarchical text conditional image generation with clip latents, if you want to get into the finer details. But, basically, it's a decoder or transformer from that uses a process called diffusion, which starts with a pattern of random pixels that are gradually moved around until they satisfy the text this input. To make high quality images, it generates 512 different possible outcomes, then uses a neural network called CLIP to predict human aesthetic judgments by ranking the results and rejecting the ones that don't look good. Pretty amazing, and it feels like one step closer to artificial general intelligence. But what does a tool like this mean for the world? Here are my initial thoughts. This could put a big dent into businesses like Istock and Shutterstock if everybody can just create their own original stock photography. Photoshop as a tool might become way less important because this is essentially an automatic Photoshop. Now when it comes to NFTs, which are already oversaturated, someone could instantly flood the market with tons of unique art. How about website and logo design? You can just pick your favorite website or logo, then generate a 1000000 different unique variations. Realistically though, it's not going to replace designers anytime soon. In fact, it should be a very useful tool for them, like Copilot is for programmers. The big question though is what does it mean for memes? I think memes will be safe for the time being. I can also imagine a lot but a potential for abuse with a tool like this by creating explicit or offensive content. Now, I have to be real with you guys. This report is very troubling for me personally because the Writing is on the wall. AGI is not far away. Now that machines can clone voices, write code, and make art, it has all the skills to take my job. Damn it. I need your clothes, your boots, And your motorcycle. This has been the Code Report. Thanks for watching, and I will see you in the next one, maybe.
It
it
is
is
April
april
7th,
7th
2022.
2022
And
and
you're
you're
watching
watching
the
the
code
code
report.
report
Machine
machine
intelligence
intelligence
is
is
the
the
last
last
invention
invention
humanity
humanity
will
will
ever
ever
need
need
to
to
make.
make
AI
ai
has
has
already
already
made
made
many
many
jobs
jobs
obsolete
obsolete
and
and
is
is
well
well
on
on
its
its
way
way
to
to
replacing
replacing
pilots,
pilots
doctors,
doctors
soldiers,
soldiers
and
and
of
of
course,
course
us
us
programmers.
programmers
1
1
of
of
the
the
last
last
bastions
bastions
of
of
humanity
humanity
is
is
art,
art
Bert,
bert
or
or
so
so
we
we
thought.
thought
As
as
of
of
yesterday,
yesterday
digital
digital
artists
artists
and
and
designers
designers
have
have
been
been
put
put
on
on
notice.
notice
OpenAI,
openai
the
the
team
team
behind
behind
GPT
gpt
3,
3
just
just
announced
announced
DALL
dall
A
a
2,
2
a
a
neural
neural
network
network
that
that
can
can
turn
turn
natural
natural
language
language
into
into
images,
images
and
and
it's
it's
some
some
of
of
the
the
wildest
wildest
technology
technology
you've
you've
ever
ever
seen.
seen
Imagine
imagine
I
i
gave
gave
you
you
a
a
requirement
requirement
to
to
draw
draw
something
something
ridonculous,
ridonculous
like
like
a
a
bowl
bowl
of
of
soup
soup
that
that
looks
looks
like
like
a
a
monster
monster
spray
spray
painted
painted
on
on
a
a
wall.
wall
DALL
dall
A
a
can
can
create
create
realistic
realistic
novel
novel
images
images
that
that
have
have
never
never
been
been
seen
seen
before
before
from
from
a
a
simple
simple
text
text
prompt
prompt
like
like
that.
that
At.
at
If
if
we
we
tweak
tweak
the
the
request
request
a
a
little
little
bit,
bit
asking
asking
it
it
to
to
look
look
like
like
plasticine,
plasticine
we
we
get
get
totally
totally
different
different
results.
results
We
we
can
can
ask
ask
it
it
for
for
pencil
pencil
drawings,
drawings
styles
styles
inspired
inspired
by
by
famous
famous
artists,
artists
Photorealistic
photorealistic
renderings
renderings
and
and
really
really
anything
anything
you
you
can
can
imagine
imagine
because
because
the
the
AI
ai
is
is
built
built
on
on
top
top
of
of
40,000
40,000
years
years
of
of
human
human
artwork
artwork
going
going
all
all
the
the
way
way
back
back
to
to
cave
cave
drawings.
drawings
This
this
tool
tool
is
is
not
not
open
open
to
to
the
the
public
public
yet,
yet
but
but
the
the
OpenAI
openai
team
team
was
was
nice
nice
enough
enough
to
to
generate
generate
a
a
ship
ship
sailing
sailing
through
through
a
a
sea
sea
of
of
fire
fire
for
for
me.
me
In
in
addition
addition
To
to
unique
unique
image
image
generation,
generation
it
it
can
can
also
also
replace
replace
things
things
in
in
existing
existing
images,
images
like
like
when
when
you
you
need
need
to
to
insert
insert
your
your
ex
ex
girlfriend
girlfriend
into
into
an
an
Instagram
instagram
photo.
photo
It
it
can
can
also
also
take
take
an
an
image
image
as
as
an
an
input,
input
then
then
create
create
a
a
bunch
bunch
of
of
different
different
variations
variations
with
with
different
different
styles
styles
and
and
angles.
angles
Pretty
pretty
terrifying,
terrifying
I
i
mean
mean
awesome,
awesome
but
but
how
how
does
does
this
this
thing
thing
actually
actually
work?
work
Well,
well
it's
it's
Based
based
on
on
GPT
gpt
3,
3
the
the
same
same
model
model
that
that
powers
powers
things
things
like
like
GitHub
github
Copilot
copilot
for
for
writing
writing
code.
code
It's
it's
trained
trained
on
on
a
a
massive
massive
collection
collection
of
of
images
images
with
with
labeled
labeled
text
text
descriptions.
descriptions
Most
most
importantly,
importantly
Like,
like
it
it
understands
understands
how
how
different
different
objects
objects
in
in
an
an
image
image
relate
relate
to
to
each
each
other,
other
like
like
how
how
a
a
panda
panda
relates
relates
to
to
a
a
skateboard
skateboard
relates
relates
to
to
Santa
santa
Monica.
monica
There's
there's
It's
it's
a
a
paper
paper
titled
titled
hierarchical
hierarchical
text
text
conditional
conditional
image
image
generation
generation
with
with
clip
clip
latents,
latents
if
if
you
you
want
want
to
to
get
get
into
into
the
the
finer
finer
details.
details
But,
but
basically,
basically
it's
it's
a
a
decoder
decoder
or
or
transformer
transformer
from
from
that
that
uses
uses
a
a
process
process
called
called
diffusion,
diffusion
which
which
starts
starts
with
with
a
a
pattern
pattern
of
of
random
random
pixels
pixels
that
that
are
are
gradually
gradually
moved
moved
around
around
until
until
they
they
satisfy
satisfy
the
the
text
text
this
this
input.
input
To
to
make
make
high
high
quality
quality
images,
images
it
it
generates
generates
512
512
different
different
possible
possible
outcomes,
outcomes
then
then
uses
uses
a
a
neural
neural
network
network
called
called
CLIP
clip
to
to
predict
predict
human
human
aesthetic
aesthetic
judgments
judgments
by
by
ranking
ranking
the
the
results
results
and
and
rejecting
rejecting
the
the
ones
ones
that
that
don't
don't
look
look
good.
good
Pretty
pretty
amazing,
amazing
and
and
it
it
feels
feels
like
like
one
one
step
step
closer
closer
to
to
artificial
artificial
general
general
intelligence.
intelligence
But
but
what
what
does
does
a
a
tool
tool
like
like
this
this
mean
mean
for
for
the
the
world?
world
Here
here
are
are
my
my
initial
initial
thoughts.
thoughts
This
this
could
could
put
put
a
a
big
big
dent
dent
into
into
businesses
businesses
like
like
Istock
istock
and
and
Shutterstock
shutterstock
if
if
everybody
everybody
can
can
just
just
create
create
their
their
own
own
original
original
stock
stock
photography.
photography
Photoshop
photoshop
as
as
a
a
tool
tool
might
might
become
become
way
way
less
less
important
important
because
because
this
this
is
is
essentially
essentially
an
an
automatic
automatic
Photoshop.
photoshop
Now
now
when
when
it
it
comes
comes
to
to
NFTs,
nfts
which
which
are
are
already
already
oversaturated,
oversaturated
someone
someone
could
could
instantly
instantly
flood
flood
the
the
market
market
with
with
tons
tons
of
of
unique
unique
art.
art
How
how
about
about
website
website
and
and
logo
logo
design?
design
You
you
can
can
just
just
pick
pick
your
your
favorite
favorite
website
website
or
or
logo,
logo
then
then
generate
generate
a
a
1000000
1000000
different
different
unique
unique
variations.
variations
Realistically
realistically
though,
though
it's
it's
not
not
going
going
to
to
replace
replace
designers
designers
anytime
anytime
soon.
soon
In
in
fact,
fact
it
it
should
should
be
be
a
a
very
very
useful
useful
tool
tool
for
for
them,
them
like
like
Copilot
copilot
is
is
for
for
programmers.
programmers
The
the
big
big
question
question
though
though
is
is
what
what
does
does
it
it
mean
mean
for
for
memes?
memes
I
i
think
think
memes
memes
will
will
be
be
safe
safe
for
for
the
the
time
time
being.
being
I
i
can
can
also
also
imagine
imagine
a
a
lot
lot
but
but
a
a
potential
potential
for
for
abuse
abuse
with
with
a
a
tool
tool
like
like
this
this
by
by
creating
creating
explicit
explicit
or
or
offensive
offensive
content.
content
Now,
now
I
i
have
have
to
to
be
be
real
real
with
with
you
you
guys.
guys
This
this
report
report
is
is
very
very
troubling
troubling
for
for
me
me
personally
personally
because
because
the
the
Writing
writing
is
is
on
on
the
the
wall.
wall
AGI
agi
is
is
not
not
far
far
away.
away
Now
now
that
that
machines
machines
can
can
clone
clone
voices,
voices
write
write
code,
code
and
and
make
make
art,
art
it
it
has
has
all
all
the
the
skills
skills
to
to
take
take
my
my
job.
job
Damn
damn
it.
it
I
i
need
need
your
your
clothes,
clothes
your
your
boots,
boots
And
and
your
your
motorcycle.
motorcycle
This
this
has
has
been
been
the
the
Code
code
Report.
report
Thanks
thanks
for
for
watching,
watching
and
and
I
i
will
will
see
see
you
you
in
in
the
the
next
next
one,
one
maybe.
maybe
success
The OpenAI team behind GPT 3 has created DALL A 2, a neural network that can turn natural language into images and create realistic novel images. DALL A is a tool that generates images using a process called diffusion, which is trained on a large collection of images. The AI is built on top of 40,000 years of human artwork and is not open to the public yet. The team is also using a machine called AGI to create unique and offensive content for memes, but it is not safe for the writing machine.
DALL-E is coming... World-changing AI image generator
OpenAI just announced a new AI Text-to-Image model based on GPT-3 called DALL-E 2. It is capable of turning a text description into a unique image or work of art that has never been seen before. 

#ai #tech #TheCodeReport

🔗 Resources

DALL-E https://openai.com/dall-e-2/
Announcement Tweet https://twitter.com/sama/status/1511724264629678084
Sam Altman Blog https://blog.samaltman.com/dall-star-e-2

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🔖 Topics Covered

- How does AI generate Art?
- What is DALL-E?
- How does DALL-E Work?
- How does GPT-3 Work?
- What is the future of AI?