AWS Re:Invent 2023 just wrapped up and Amazon released 5 new services that could change the world. Learn about Amazon One palm scanning, Trainium AI chips, Bedrock, and more. 

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- Custom AI chips from AWS Re:Invent
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2024-02-04T04:59:26.528Z
nova-2
2-general-nova
2024-01-09.29447
30089e05-99d1-4376-b32e-c263170674af
5fbb68b0-315c-45f3-8c9f-1aca42c36ee6
e41a196e405d364b9a50ab03a82343f80d131c5ec17a2e4925e8fe4cc4da2c36
67875a7f-c9c4-48a0-aa55-5bdb8a91c34a
deprecated
In many big cities here in America, social decay has reached the point where items like deodorant and toothpaste need to be kept behind lock and key, and Walmart needs to lock its stakes and barbed wire.
But luckily, I have some good news.
Shoplifting will soon be a thing of the past, thanks to a biometric surveillance driven AI controlled economy powered by Amazon Web Services.
Today, we'll take a glimpse into the future with 5 awesome new tools announced at AWS reInvent earlier this week.
It is it December 1, 2023, and you're watching the Code Report.
I remember 5 years ago when I could walk into the grocery store with $20 in my pocket and walk out of there with an entire cart full of trees with $20 left over in my pocket.
But you can't do that nowadays because they keep all the good stuff locked up.
Back in 2018, Amazon announced its first cashless and cash a Cheerless store.
You walk in and shoplift whatever you want, and it will automatically charge your Amazon account.
It's super convenient and cost effective for doors, but it comes at the cost of ubiquitous personal surveillance.
Now, people still broke into these stores and Amazon shut a bunch of them down in 2023, But if you own a grocery store yourself, AWS sells the tools you need to build your own dystopian shopping experience.
That brings us to one of the craziest new AWS tools, Amazon 1, a palm identity service.
Instead of authenticating with a username and password, you create a palm signature which is unique to every human, which can then be used for authentication to get you into a building instead of an ID badge or be used to pay for goods in a store instead of a credit card.
In the future, you won't just be able to walk into a store anonymously.
You'll need to first authenticate Welcome to Walmart.
Please it.
Scan palm to shop our everyday low prices.
And you may not get access if you have a history of shoplifting.
Even if you do try to shoplift, the exit doors aren't going to open unless you have enough credits in your account to pay for that lab grown meat.
Even if you do manage to smash down the door and escape, Amazon's loss prevention drones will be right there to track you, after which point these new law enforcement robots will be authorized to terminate you, or at the very least, reduce your social credit score.
Pretty cool, but all this tech requires a lot of computing power.
Announcement number 2 was the latest operation of AWS Trainium Chips.
There's a race going on right now between all the big tech companies to build AI chips.
Google, Amazon, Microsoft, and NVIDIA have it all, announce their own specialized chips for training massive AI models.
A cluster of 100,000 of these Trainium chips is capable of training a GPT a t 4 size model in a matter of weeks instead of months.
Announcement number 3 was Amazon SageMaker HyperPOD, which allows you to take advantage of the Trainium chip or optionally NVIDIA GPUs.
You just take your data and your code and drop it into Hyperpod, push the play button, then it will distribute that work across 100 or thousands of chips.
Come back in a few weeks, and you should have your own custom GPT 4 like foundational model, along with what I can only imagine would be a 7 figure bill.
Announcement number 4 was Q, not to be and use with QStar, the rumored AGI from OpenAI.
Q is a chatbot for AWS customers, which is actually an awesome feature.
US is incredibly complex, and it's pretty easy to shoot yourself in the foot, and that means an LLM that understands the context of your AWS account will be incredibly useful.
It can even analyze eyes and write code just like GitHub Copilot, as well as generate reports and analyze data on your account.
And that brings us to our final tool, which is also the most fun to play with, Amazon Bedrock and its new image its generator.
Bedrock allows you to try out a bunch of different foundation models like Stable Diffusion, Claude, Llama, and so on.
In addition, Amazon has trained its own foundation models called Titan.
It has a playground where you can try out all these different models, which is really convenient if you don't have a high performance machine with a GPU where you can download and run these models locally.
It.
I use it to compare Stable Diffusion XL to Titan image generation, and although Titan is not quite as good as Stable Diffusion, it did provide some interesting high quality results.
What's really cool about Bedrock though is that you can fine tune the models with your own data and then offer them as an API fully managed by AWS, which is a great idea for your failed AI software as a a service side hustle that'll make Amazon a bunch of money.
This has been the Code Report.
Thanks for watching, and I will see you in the next one.

Speaker 0: In many big cities here in America, social decay has reached the point where items like deodorant and toothpaste need to be kept behind lock and key, and Walmart needs to lock its stakes and barbed wire. But luckily, I have some good news. Shoplifting will soon be a thing of the past, thanks to a biometric surveillance driven AI controlled economy powered by Amazon Web Services. Today, we'll take a glimpse into the future with 5 awesome new tools announced at AWS reInvent earlier this week. It is it December 1, 2023, and you're watching the Code Report.

I remember 5 years ago when I could walk into the grocery store with $20 in my pocket and walk out of there with an entire cart full of trees with $20 left over in my pocket. But you can't do that nowadays because they keep all the good stuff locked up. Back in 2018, Amazon announced its first cashless and cash a Cheerless store. You walk in and shoplift whatever you want, and it will automatically charge your Amazon account. It's super convenient and cost effective for doors, but it comes at the cost of ubiquitous personal surveillance.

Now, people still broke into these stores and Amazon shut a bunch of them down in 2023, But if you own a grocery store yourself, AWS sells the tools you need to build your own dystopian shopping experience. That brings us to one of the craziest new AWS tools, Amazon 1, a palm identity service. Instead of authenticating with a username and password, you create a palm signature which is unique to every human, which can then be used for authentication to get you into a building instead of an ID badge or be used to pay for goods in a store instead of a credit card. In the future, you won't just be able to walk into a store anonymously. You'll need to first authenticate Welcome to Walmart.

Please it. Scan palm to shop our everyday low prices. And you may not get access if you have a history of shoplifting. Even if you do try to shoplift, the exit doors aren't going to open unless you have enough credits in your account to pay for that lab grown meat. Even if you do manage to smash down the door and escape, Amazon's loss prevention drones will be right there to track you, after which point these new law enforcement robots will be authorized to terminate you, or at the very least, reduce your social credit score.

Pretty cool, but all this tech requires a lot of computing power. Announcement number 2 was the latest operation of AWS Trainium Chips. There's a race going on right now between all the big tech companies to build AI chips. Google, Amazon, Microsoft, and NVIDIA have it all, announce their own specialized chips for training massive AI models. A cluster of 100,000 of these Trainium chips is capable of training a GPT a t 4 size model in a matter of weeks instead of months.

Announcement number 3 was Amazon SageMaker HyperPOD, which allows you to take advantage of the Trainium chip or optionally NVIDIA GPUs. You just take your data and your code and drop it into Hyperpod, push the play button, then it will distribute that work across 100 or thousands of chips. Come back in a few weeks, and you should have your own custom GPT 4 like foundational model, along with what I can only imagine would be a 7 figure bill. Announcement number 4 was Q, not to be and use with QStar, the rumored AGI from OpenAI. Q is a chatbot for AWS customers, which is actually an awesome feature.

US is incredibly complex, and it's pretty easy to shoot yourself in the foot, and that means an LLM that understands the context of your AWS account will be incredibly useful. It can even analyze eyes and write code just like GitHub Copilot, as well as generate reports and analyze data on your account. And that brings us to our final tool, which is also the most fun to play with, Amazon Bedrock and its new image its generator. Bedrock allows you to try out a bunch of different foundation models like Stable Diffusion, Claude, Llama, and so on. In addition, Amazon has trained its own foundation models called Titan.

It has a playground where you can try out all these different models, which is really convenient if you don't have a high performance machine with a GPU where you can download and run these models locally. It. I use it to compare Stable Diffusion XL to Titan image generation, and although Titan is not quite as good as Stable Diffusion, it did provide some interesting high quality results. What's really cool about Bedrock though is that you can fine tune the models with your own data and then offer them as an API fully managed by AWS, which is a great idea for your failed AI software as a a service side hustle that'll make Amazon a bunch of money. This has been the Code Report.

Thanks for watching, and I will see you in the next one.
In many big cities here in America, social decay has reached the point where items like deodorant and toothpaste need to be kept behind lock and key, and Walmart needs to lock its stakes and barbed wire. But luckily, I have some good news. Shoplifting will soon be a thing of the past, thanks to a biometric surveillance driven AI controlled economy powered by Amazon Web Services. Today, we'll take a glimpse into the future with 5 awesome new tools announced at AWS reInvent earlier this week. It is it December 1, 2023, and you're watching the Code Report. I remember 5 years ago when I could walk into the grocery store with $20 in my pocket and walk out of there with an entire cart full of trees with $20 left over in my pocket. But you can't do that nowadays because they keep all the good stuff locked up. Back in 2018, Amazon announced its first cashless and cash a Cheerless store. You walk in and shoplift whatever you want, and it will automatically charge your Amazon account. It's super convenient and cost effective for doors, but it comes at the cost of ubiquitous personal surveillance. Now, people still broke into these stores and Amazon shut a bunch of them down in 2023, But if you own a grocery store yourself, AWS sells the tools you need to build your own dystopian shopping experience. That brings us to one of the craziest new AWS tools, Amazon 1, a palm identity service. Instead of authenticating with a username and password, you create a palm signature which is unique to every human, which can then be used for authentication to get you into a building instead of an ID badge or be used to pay for goods in a store instead of a credit card. In the future, you won't just be able to walk into a store anonymously. You'll need to first authenticate Welcome to Walmart. Please it. Scan palm to shop our everyday low prices. And you may not get access if you have a history of shoplifting. Even if you do try to shoplift, the exit doors aren't going to open unless you have enough credits in your account to pay for that lab grown meat. Even if you do manage to smash down the door and escape, Amazon's loss prevention drones will be right there to track you, after which point these new law enforcement robots will be authorized to terminate you, or at the very least, reduce your social credit score. Pretty cool, but all this tech requires a lot of computing power. Announcement number 2 was the latest operation of AWS Trainium Chips. There's a race going on right now between all the big tech companies to build AI chips. Google, Amazon, Microsoft, and NVIDIA have it all, announce their own specialized chips for training massive AI models.
amazon
aerospace
theft
commerce
mining
ibm
computer science
artificial intelligence
engineering
robotics
A cluster of 100,000 of these Trainium chips is capable of training a GPT a t 4 size model in a matter of weeks instead of months. Announcement number 3 was Amazon SageMaker HyperPOD, which allows you to take advantage of the Trainium chip or optionally NVIDIA GPUs. You just take your data and your code and drop it into Hyperpod, push the play button, then it will distribute that work across 100 or thousands of chips. Come back in a few weeks, and you should have your own custom GPT 4 like foundational model, along with what I can only imagine would be a 7 figure bill. Announcement number 4 was Q, not to be and use with QStar, the rumored AGI from OpenAI. Q is a chatbot for AWS customers, which is actually an awesome feature. US is incredibly complex, and it's pretty easy to shoot yourself in the foot, and that means an LLM that understands the context of your AWS account will be incredibly useful. It can even analyze eyes and write code just like GitHub Copilot, as well as generate reports and analyze data on your account. And that brings us to our final tool, which is also the most fun to play with, Amazon Bedrock and its new image its generator. Bedrock allows you to try out a bunch of different foundation models like Stable Diffusion, Claude, Llama, and so on. In addition, Amazon has trained its own foundation models called Titan. It has a playground where you can try out all these different models, which is really convenient if you don't have a high performance machine with a GPU where you can download and run these models locally. It. I use it to compare Stable Diffusion XL to Titan image generation, and although Titan is not quite as good as Stable Diffusion, it did provide some interesting high quality results.
What's really cool about Bedrock though is that you can fine tune the models with your own data and then offer them as an API fully managed by AWS, which is a great idea for your failed AI software as a a service side hustle that'll make Amazon a bunch of money.
amazon
This has been the Code Report. Thanks for watching, and I will see you in the next one.
In many big cities here in America, social decay has reached the point where items like deodorant and toothpaste need to be kept behind lock and key, and Walmart needs to lock its stakes and barbed wire. But luckily, I have some good news. Shoplifting will soon be a thing of the past, thanks to a biometric surveillance driven AI controlled economy powered by Amazon Web Services. Today, we'll take a glimpse into the future with 5 awesome new tools announced at AWS reInvent earlier this week. It is it December 1, 2023, and you're watching the Code Report. I remember 5 years ago when I could walk into the grocery store with $20 in my pocket and walk out of there with an entire cart full of trees with $20 left over in my pocket. But you can't do that nowadays because they keep all the good stuff locked up. Back in 2018, Amazon announced its first cashless and cash a Cheerless store. You walk in and shoplift whatever you want, and it will automatically charge your Amazon account. It's super convenient and cost effective for doors, but it comes at the cost of ubiquitous personal surveillance. Now, people still broke into these stores and Amazon shut a bunch of them down in 2023, But if you own a grocery store yourself, AWS sells the tools you need to build your own dystopian shopping experience. That brings us to one of the craziest new AWS tools, Amazon 1, a palm identity service. Instead of authenticating with a username and password, you create a palm signature which is unique to every human, which can then be used for authentication to get you into a building instead of an ID badge or be used to pay for goods in a store instead of a credit card. In the future, you won't just be able to walk into a store anonymously. You'll need to first authenticate Welcome to Walmart. Please it. Scan palm to shop our everyday low prices. And you may not get access if you have a history of shoplifting. Even if you do try to shoplift, the exit doors aren't going to open unless you have enough credits in your account to pay for that lab grown meat. Even if you do manage to smash down the door and escape, Amazon's loss prevention drones will be right there to track you, after which point these new law enforcement robots will be authorized to terminate you, or at the very least, reduce your social credit score. Pretty cool, but all this tech requires a lot of computing power. Announcement number 2 was the latest operation of AWS Trainium Chips. There's a race going on right now between all the big tech companies to build AI chips. Google, Amazon, Microsoft, and NVIDIA have it all, announce their own specialized chips for training massive AI models. A cluster of 100,000 of these Trainium chips is capable of training a GPT a t 4 size model in a matter of weeks instead of months. Announcement number 3 was Amazon SageMaker HyperPOD, which allows you to take advantage of the Trainium chip or optionally NVIDIA GPUs. You just take your data and your code and drop it into Hyperpod, push the play button, then it will distribute that work across 100 or thousands of chips. Come back in a few weeks, and you should have your own custom GPT 4 like foundational model, along with what I can only imagine would be a 7 figure bill. Announcement number 4 was Q, not to be and use with QStar, the rumored AGI from OpenAI. Q is a chatbot for AWS customers, which is actually an awesome feature. US is incredibly complex, and it's pretty easy to shoot yourself in the foot, and that means an LLM that understands the context of your AWS account will be incredibly useful. It can even analyze eyes and write code just like GitHub Copilot, as well as generate reports and analyze data on your account. And that brings us to our final tool, which is also the most fun to play with, Amazon Bedrock and its new image its generator. Bedrock allows you to try out a bunch of different foundation models like Stable Diffusion, Claude, Llama, and so on. In addition, Amazon has trained its own foundation models called Titan. It has a playground where you can try out all these different models, which is really convenient if you don't have a high performance machine with a GPU where you can download and run these models locally. It. I use it to compare Stable Diffusion XL to Titan image generation, and although Titan is not quite as good as Stable Diffusion, it did provide some interesting high quality results. What's really cool about Bedrock though is that you can fine tune the models with your own data and then offer them as an API fully managed by AWS, which is a great idea for your failed AI software as a a service side hustle that'll make Amazon a bunch of money. This has been the Code Report. Thanks for watching, and I will see you in the next one.
In
in
many
many
big
big
cities
cities
here
here
in
in
America,
america
social
social
decay
decay
has
has
reached
reached
the
the
point
point
where
where
items
items
like
like
deodorant
deodorant
and
and
toothpaste
toothpaste
need
need
to
to
be
be
kept
kept
behind
behind
lock
lock
and
and
key,
key
and
and
Walmart
walmart
needs
needs
to
to
lock
lock
its
its
stakes
stakes
and
and
barbed
barbed
wire.
wire
But
but
luckily,
luckily
I
i
have
have
some
some
good
good
news.
news
Shoplifting
shoplifting
will
will
soon
soon
be
be
a
a
thing
thing
of
of
the
the
past,
past
thanks
thanks
to
to
a
a
biometric
biometric
surveillance
surveillance
driven
driven
AI
ai
controlled
controlled
economy
economy
powered
powered
by
by
Amazon
amazon
Web
web
Services.
services
Today,
today
we'll
we'll
take
take
a
a
glimpse
glimpse
into
into
the
the
future
future
with
with
5
5
awesome
awesome
new
new
tools
tools
announced
announced
at
at
AWS
aws
reInvent
reinvent
earlier
earlier
this
this
week.
week
It
it
is
is
it
it
December
december
1,
1
2023,
2023
and
and
you're
you're
watching
watching
the
the
Code
code
Report.
report
I
i
remember
remember
5
5
years
years
ago
ago
when
when
I
i
could
could
walk
walk
into
into
the
the
grocery
grocery
store
store
with
with
$20
$20
in
in
my
my
pocket
pocket
and
and
walk
walk
out
out
of
of
there
there
with
with
an
an
entire
entire
cart
cart
full
full
of
of
trees
trees
with
with
$20
$20
left
left
over
over
in
in
my
my
pocket.
pocket
But
but
you
you
can't
can't
do
do
that
that
nowadays
nowadays
because
because
they
they
keep
keep
all
all
the
the
good
good
stuff
stuff
locked
locked
up.
up
Back
back
in
in
2018,
2018
Amazon
amazon
announced
announced
its
its
first
first
cashless
cashless
and
and
cash
cash
a
a
Cheerless
cheerless
store.
store
You
you
walk
walk
in
in
and
and
shoplift
shoplift
whatever
whatever
you
you
want,
want
and
and
it
it
will
will
automatically
automatically
charge
charge
your
your
Amazon
amazon
account.
account
It's
it's
super
super
convenient
convenient
and
and
cost
cost
effective
effective
for
for
doors,
doors
but
but
it
it
comes
comes
at
at
the
the
cost
cost
of
of
ubiquitous
ubiquitous
personal
personal
surveillance.
surveillance
Now,
now
people
people
still
still
broke
broke
into
into
these
these
stores
stores
and
and
Amazon
amazon
shut
shut
a
a
bunch
bunch
of
of
them
them
down
down
in
in
2023,
2023
But
but
if
if
you
you
own
own
a
a
grocery
grocery
store
store
yourself,
yourself
AWS
aws
sells
sells
the
the
tools
tools
you
you
need
need
to
to
build
build
your
your
own
own
dystopian
dystopian
shopping
shopping
experience.
experience
That
that
brings
brings
us
us
to
to
one
one
of
of
the
the
craziest
craziest
new
new
AWS
aws
tools,
tools
Amazon
amazon
1,
1
a
a
palm
palm
identity
identity
service.
service
Instead
instead
of
of
authenticating
authenticating
with
with
a
a
username
username
and
and
password,
password
you
you
create
create
a
a
palm
palm
signature
signature
which
which
is
is
unique
unique
to
to
every
every
human,
human
which
which
can
can
then
then
be
be
used
used
for
for
authentication
authentication
to
to
get
get
you
you
into
into
a
a
building
building
instead
instead
of
of
an
an
ID
id
badge
badge
or
or
be
be
used
used
to
to
pay
pay
for
for
goods
goods
in
in
a
a
store
store
instead
instead
of
of
a
a
credit
credit
card.
card
In
in
the
the
future,
future
you
you
won't
won't
just
just
be
be
able
able
to
to
walk
walk
into
into
a
a
store
store
anonymously.
anonymously
You'll
you'll
need
need
to
to
first
first
authenticate
authenticate
Welcome
welcome
to
to
Walmart.
walmart
Please
please
it.
it
Scan
scan
palm
palm
to
to
shop
shop
our
our
everyday
everyday
low
low
prices.
prices
And
and
you
you
may
may
not
not
get
get
access
access
if
if
you
you
have
have
a
a
history
history
of
of
shoplifting.
shoplifting
Even
even
if
if
you
you
do
do
try
try
to
to
shoplift,
shoplift
the
the
exit
exit
doors
doors
aren't
aren't
going
going
to
to
open
open
unless
unless
you
you
have
have
enough
enough
credits
credits
in
in
your
your
account
account
to
to
pay
pay
for
for
that
that
lab
lab
grown
grown
meat.
meat
Even
even
if
if
you
you
do
do
manage
manage
to
to
smash
smash
down
down
the
the
door
door
and
and
escape,
escape
Amazon's
amazon's
loss
loss
prevention
prevention
drones
drones
will
will
be
be
right
right
there
there
to
to
track
track
you,
you
after
after
which
which
point
point
these
these
new
new
law
law
enforcement
enforcement
robots
robots
will
will
be
be
authorized
authorized
to
to
terminate
terminate
you,
you
or
or
at
at
the
the
very
very
least,
least
reduce
reduce
your
your
social
social
credit
credit
score.
score
Pretty
pretty
cool,
cool
but
but
all
all
this
this
tech
tech
requires
requires
a
a
lot
lot
of
of
computing
computing
power.
power
Announcement
announcement
number
number
2
2
was
was
the
the
latest
latest
operation
operation
of
of
AWS
aws
Trainium
trainium
Chips.
chips
There's
there's
a
a
race
race
going
going
on
on
right
right
now
now
between
between
all
all
the
the
big
big
tech
tech
companies
companies
to
to
build
build
AI
ai
chips.
chips
Google,
google
Amazon,
amazon
Microsoft,
microsoft
and
and
NVIDIA
nvidia
have
have
it
it
all,
all
announce
announce
their
their
own
own
specialized
specialized
chips
chips
for
for
training
training
massive
massive
AI
ai
models.
models
A
a
cluster
cluster
of
of
100,000
100,000
of
of
these
these
Trainium
trainium
chips
chips
is
is
capable
capable
of
of
training
training
a
a
GPT
gpt
a
a
t
t
4
4
size
size
model
model
in
in
a
a
matter
matter
of
of
weeks
weeks
instead
instead
of
of
months.
months
Announcement
announcement
number
number
3
3
was
was
Amazon
amazon
SageMaker
sagemaker
HyperPOD,
hyperpod
which
which
allows
allows
you
you
to
to
take
take
advantage
advantage
of
of
the
the
Trainium
trainium
chip
chip
or
or
optionally
optionally
NVIDIA
nvidia
GPUs.
gpus
You
you
just
just
take
take
your
your
data
data
and
and
your
your
code
code
and
and
drop
drop
it
it
into
into
Hyperpod,
hyperpod
push
push
the
the
play
play
button,
button
then
then
it
it
will
will
distribute
distribute
that
that
work
work
across
across
100
100
or
or
thousands
thousands
of
of
chips.
chips
Come
come
back
back
in
in
a
a
few
few
weeks,
weeks
and
and
you
you
should
should
have
have
your
your
own
own
custom
custom
GPT
gpt
4
4
like
like
foundational
foundational
model,
model
along
along
with
with
what
what
I
i
can
can
only
only
imagine
imagine
would
would
be
be
a
a
7
7
figure
figure
bill.
bill
Announcement
announcement
number
number
4
4
was
was
Q,
q
not
not
to
to
be
be
and
and
use
use
with
with
QStar,
qstar
the
the
rumored
rumored
AGI
agi
from
from
OpenAI.
openai
Q
q
is
is
a
a
chatbot
chatbot
for
for
AWS
aws
customers,
customers
which
which
is
is
actually
actually
an
an
awesome
awesome
feature.
feature
US
us
is
is
incredibly
incredibly
complex,
complex
and
and
it's
it's
pretty
pretty
easy
easy
to
to
shoot
shoot
yourself
yourself
in
in
the
the
foot,
foot
and
and
that
that
means
means
an
an
LLM
llm
that
that
understands
understands
the
the
context
context
of
of
your
your
AWS
aws
account
account
will
will
be
be
incredibly
incredibly
useful.
useful
It
it
can
can
even
even
analyze
analyze
eyes
eyes
and
and
write
write
code
code
just
just
like
like
GitHub
github
Copilot,
copilot
as
as
well
well
as
as
generate
generate
reports
reports
and
and
analyze
analyze
data
data
on
on
your
your
account.
account
And
and
that
that
brings
brings
us
us
to
to
our
our
final
final
tool,
tool
which
which
is
is
also
also
the
the
most
most
fun
fun
to
to
play
play
with,
with
Amazon
amazon
Bedrock
bedrock
and
and
its
its
new
new
image
image
its
its
generator.
generator
Bedrock
bedrock
allows
allows
you
you
to
to
try
try
out
out
a
a
bunch
bunch
of
of
different
different
foundation
foundation
models
models
like
like
Stable
stable
Diffusion,
diffusion
Claude,
claude
Llama,
llama
and
and
so
so
on.
on
In
in
addition,
addition
Amazon
amazon
has
has
trained
trained
its
its
own
own
foundation
foundation
models
models
called
called
Titan.
titan
It
it
has
has
a
a
playground
playground
where
where
you
you
can
can
try
try
out
out
all
all
these
these
different
different
models,
models
which
which
is
is
really
really
convenient
convenient
if
if
you
you
don't
don't
have
have
a
a
high
high
performance
performance
machine
machine
with
with
a
a
GPU
gpu
where
where
you
you
can
can
download
download
and
and
run
run
these
these
models
models
locally.
locally
It.
it
I
i
use
use
it
it
to
to
compare
compare
Stable
stable
Diffusion
diffusion
XL
xl
to
to
Titan
titan
image
image
generation,
generation
and
and
although
although
Titan
titan
is
is
not
not
quite
quite
as
as
good
good
as
as
Stable
stable
Diffusion,
diffusion
it
it
did
did
provide
provide
some
some
interesting
interesting
high
high
quality
quality
results.
results
What's
what's
really
really
cool
cool
about
about
Bedrock
bedrock
though
though
is
is
that
that
you
you
can
can
fine
fine
tune
tune
the
the
models
models
with
with
your
your
own
own
data
data
and
and
then
then
offer
offer
them
them
as
as
an
an
API
api
fully
fully
managed
managed
by
by
AWS,
aws
which
which
is
is
a
a
great
great
idea
idea
for
for
your
your
failed
failed
AI
ai
software
software
as
as
a
a
a
a
service
service
side
side
hustle
hustle
that'll
that'll
make
make
Amazon
amazon
a
a
bunch
bunch
of
of
money.
money
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
success
In a transcript, a speaker announces five new tools at AWS reInvent, including a biometric surveillance system called Amazon Web Services, a cashless and cashless store, a palm identity service, and a new Amazon machine learning ( AWS Trainium Chips) tool. The technology is designed to increase privacy, reduce credit score, and increase productivity for retailers. The new tools are available for purchase online or through Amazon's Azure account.
5 crazy new AWS services just launched
In many big cities here in America, social decay has reached the point where items like deodorant and toothpaste need to be kept behind lock and key, and Walmart needs to lock its stakes and barbed wire. But luckily, I have some good news. Shoplifting will soon be a thing of the past, thanks to a biometric surveillance driven AI controlled economy powered by Amazon Web Services. Today, we'll take a glimpse into the future with 5 awesome new tools announced at AWS reInvent earlier this week. It is it December 1, 2023, and you're watching the Code Report. I remember 5 years ago when I could walk into the grocery store with $20 in my pocket and walk out of there with an entire cart full of trees with $20 left over in my pocket. But you can't do that nowadays because they keep all the good stuff locked up. Back in 2018, Amazon announced its first cashless and cash a Cheerless store. You walk in and shoplift whatever you want, and it will automatically charge your Amazon account. It's super convenient and cost effective for doors, but it comes at the cost of ubiquitous personal surveillance. Now, people still broke into these stores and Amazon shut a bunch of them down in 2023, But if you own a grocery store yourself, AWS sells the tools you need to build your own dystopian shopping experience. That brings us to one of the craziest new AWS tools, Amazon 1, a palm identity service. Instead of authenticating with a username and password, you create a palm signature which is unique to every human, which can then be used for authentication to get you into a building instead of an ID badge or be used to pay for goods in a store instead of a credit card. In the future, you won't just be able to walk into a store anonymously. You'll need to first authenticate Welcome to Walmart. Please it. Scan palm to shop our everyday low prices. And you may not get access if you have a history of shoplifting. Even if you do try to shoplift, the exit doors aren't going to open unless you have enough credits in your account to pay for that lab grown meat. Even if you do manage to smash down the door and escape, Amazon's loss prevention drones will be right there to track you, after which point these new law enforcement robots will be authorized to terminate you, or at the very least, reduce your social credit score. Pretty cool, but all this tech requires a lot of computing power. Announcement number 2 was the latest operation of AWS Trainium Chips. There's a race going on right now between all the big tech companies to build AI chips. Google, Amazon, Microsoft, and NVIDIA have it all, announce their own specialized chips for training massive AI models. A cluster of 100,000 of these Trainium chips is capable of training a GPT a t 4 size model in a matter of weeks instead of months. Announcement number 3 was Amazon SageMaker HyperPOD, which allows you to take advantage of the Trainium chip or optionally NVIDIA GPUs. You just take your data and your code and drop it into Hyperpod, push the play button, then it will distribute that work across 100 or thousands of chips. Come back in a few weeks, and you should have your own custom GPT 4 like foundational model, along with what I can only imagine would be a 7 figure bill. Announcement number 4 was Q, not to be and use with QStar, the rumored AGI from OpenAI. Q is a chatbot for AWS customers, which is actually an awesome feature. US is incredibly complex, and it's pretty easy to shoot yourself in the foot, and that means an LLM that understands the context of your AWS account will be incredibly useful. It can even analyze eyes and write code just like GitHub Copilot, as well as generate reports and analyze data on your account. And that brings us to our final tool, which is also the most fun to play with, Amazon Bedrock and its new image its generator. Bedrock allows you to try out a bunch of different foundation models like Stable Diffusion, Claude, Llama, and so on. In addition, Amazon has trained its own foundation models called Titan. It has a playground where you can try out all these different models, which is really convenient if you don't have a high performance machine with a GPU where you can download and run these models locally. It. I use it to compare Stable Diffusion XL to Titan image generation, and although Titan is not quite as good as Stable Diffusion, it did provide some interesting high quality results. What's really cool about Bedrock though is that you can fine tune the models with your own data and then offer them as an API fully managed by AWS, which is a great idea for your failed AI software as a a service side hustle that'll make Amazon a bunch of money. This has been the Code Report. Thanks for watching, and I will see you in the next one.
In a transcript, a speaker announces five new tools at AWS reInvent, including a biometric surveillance system called Amazon Web Services, a cashless and cashless store, a palm identity service, and a new Amazon machine learning ( AWS Trainium Chips) tool. The technology is designed to increase privacy, reduce credit score, and increase productivity for retailers. The new tools are available for purchase online or through Amazon's Azure account.