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[Music]
hi everyone
welcome uh it's great to see all of you
in Seattle in person uh we have an
unbelievable show I see Scott Guthrie's
even wore his red shirt so we welcome
you to the Azure kubernetes container
service 2023 Lodge
no don't worry we'll have some fun we
will have some fun
you know Scott's not coming up to show
you code on screen anytime soon
but look it's an exciting time uh in
Tech uh you know the broad Contours of
this next platform
uh are just getting clearer and clearer
each day uh the advances what's possible
uh that's what obviously excites us uh
in our industry
but we're also grounded in what's
happening in the broader world there's
no question uh there are enormous
challenges out there in fact it's
reminds me and I've spoken about this
before of the very founding of Microsoft
in 1975. in fact the when the popular
Electronics cover came out with the
Altair which of course our Founders
picked up and ran with it and created
essentially what's the software industry
as we know of it today that same week
new suite had a cover with President
Carter trying to fight off uh the
three-headed monster of uh inflation
recession and an energy crisis
um and today we'd have something similar
you would have ai on one cover and then
we'll have those three challenges Plus
for good measure we can add a few more
and so we as Microsoft we as the tech
industry have to sort of really ground
ourselves in how do we relate one to the
other in other words can we use
technology to overcome the challenges
that people and organizations and
countries face that's really the pursuit
here
and in that context I would say
uh I just want to share a couple of
anecdotes which give me great hope
quite honestly it gives me personally a
lot of satisfaction around working at
Microsoft working in this industry to
push the state of the art of Technology
the first one you know obviously when
Sam and his team late last year launched
chat GPT that's the only thing anybody
your friends and family wanted to talk
about throughout the holidays it was
just crazy uh house you know it was like
the Mosaic moment the closest we've come
it's what been 30 years now uh since
when Mosaic launched which I distinctly
remember
um and it was very exciting time so I I
was on all I went on a holiday first and
then I was in the first week in India of
January I was in India uh and on my on
Jan 1st I look at my news feed and I see
this tweet uh that Andre H karpathy put
out uh who is you know ex-open Ai and
Tesla and uh and it's now an independent
AI developer and uh he had this thing
where the product that really he was
most excited about the previous year was
GitHub co-pilot and he was saying how 80
percent of his code was being generated
by this I would say first at scale
product built on nlm technology and you
know this doesn't mean he's 80 somehow
not doing his work in fact it's he's
getting so much more leverage uh and in
fact recently we crossed a hundred
million developers on GitHub
and think about this right there are 100
million developers on GitHub if we can
improve their productivity just like how
andrage was able to sort of you know
observe and then let's say in the next
decade we double that number maybe
double it again right that we get close
to a half a billion developers what
Economic Opportunity it would create
because there is not a meeting that I go
to today with any CEO CX or any
organization who's not looking for more
software developers more digital skills
that's the currency in every part of
every every sector of the economy in
every country of the world that's the
opportunity we have to be able to take
this technology and make a difference
but then the next day I went to Mumbai
and then I saw this demo
this was just for me the most profound
thing that I've seen in a long long time
the demo was actually built by the
ministry of electronics in India because
they're building out a digital public
good their idea is look India has got
you know multiple official languages and
they wanted to democratize essentially
access to language translation so
they're building it out as a digital
public good in fact Microsoft and Azure
and Microsoft research are all involved
in that project and so this is basically
speech to text text to speech across all
of the languages in India and um so they
showed me this demo where a farmer uh
speaking in Hindi Express is a pretty
complex thought about how he had heard
about some some government program and
wants to apply for a subsidy uh that he
thinks he's eligible for and so it's a
pretty complex prompt query
the technology does a good job it goes
to the bot recognizes the speech comes
back and says you know what you should
go to this portal fill out these forms
and you'll get your subsidy so he says
look I'm not going to go into any portal
uh I'm not going to fill out any forms
can you help me
and he does it
and then
I was told that a developer said okay
you know what let us daisy chain
a model that was trained
on all of the documents of the
government of India using GPT
and with this speech recognition
software
so basically two models coming together
to really help a rural farmer in India
trying to get access
to a government program
look I grew up in India I dreamed every
day that someday the Industrial
Revolution will get evenly distributed
across the world and here I was seeing
something so profound
something that was developed by the
folks at openai and the west coast of
the United States a few months earlier
used by a developer locally to have an
impact on a rural farmer
that to me is what gives me meaning and
I think gives us all meaning in our
industry so it's just fantastic to see
that and now of course we've got to
scale it scale it and scale it with a
real understanding that we can't break
things right so it's about being also
clear-eyed about the unintended
consequences of any new technology in
fact that's why way back in 2016 is when
we came out with the AI principles yeah
both we as Microsoft and our sort of
Partners at open AI deeply care about
this in fact the entire Genesis of
openai is from that Foundation
and so we built these principles but
we've just not just put those principles
as a document but we've been practicing
it because that's the only way
technology gets better in this
particular case when you talk about AI
it's about alignment with human
preferences and societal norms and
you're not going to do that in a lab you
have to do that out there in the world
and so it starts by the way with design
decision once makes
when you think about AI you can
have the human in the loop you can have
the human on the loop or you can have
the human out of the loop those are
decisions we as product makers build
into the products and so we whenever
we've come up with some new things in
new models we in fact put a premium on
human agency when you think about these
generative AI models remember one thing
they are prompted to do things the
prompting comes from a human being we
get to in fact help them prompt
we get them to take the draft that gets
generated
they should review the draft they get to
review the draft
they get to approve the draft using
judgment we want to give them as many
perspectives as many ways to regenerate
so we want to take even just the design
of AI products as a first-class
construct and build that into our
products
but that's not sufficient we realize
that you have to right at the
pre-training stage when it comes to the
data the pre-training itself the model
itself has to be safe the safety system
around the model uh the application
context all will matter and so we
absolutely and you'll see that today we
take all of that as first class things
which we want to reduce not just to
principles but to engineering practice
such that we can build AI That's more
aligned with human values more aligned
with what our preferences are both
individually and as a society
and so what is it that we should do and
what should we build
I think that this technology is going to
reshape pretty much every software
category we know I mean we've seen that
right when we've saw if you think about
the web
we've had what three at least very
distinct platform shifts that have
shaped the web the web was born
on the PC and the server
and then it evolved with mobile and
cloud and now the question is how is AI
going to reshape the web
um and each time in each one of those
faces some real foundational technology
layers sometimes I describe them as
these organizational layers of
Technology were born right the browser
was the first one without the browser
the web would have not been as popular
as it is today
same thing with search
organize the web
and then when it came to The Mobile
Generation and mobile and cloud in fact
these super apps especially outside of
the United States uh around messaging
became the way people consume the web
uh we also had uh app stores
so the question is what are the
constructs what are the organizing
layers going forward
you'll see some of that today
we think there are two things that are
emerging one is this conversational
intelligent agents
I think they're going to be things that
we are going to have everywhere we go
all computer interaction
is going to be mediated
with an agent helping you in fact we're
going to have this notion of a co-pilot
that's going to be there across every
application canvas inside of an
operating system shell
in a browser
and so we want to show you some of this
innovation
starting with how it's going to reshape
the largest
software category on planet Earth
which I've been working on for a long
time
which we're very very excited about
search
and
it's a new day uh in search it's a new
paradigm for search
rapid Innovation is going to come in
fact a race starts today in terms of
what you can expect and we're going to
move we're going to move fast
and for us every day we want to bring
out new things
and most importantly
we want to have a lot of fun innovating
again in search because it's high time
with that let me turn it over to Yusuf
thank you
thanks Satya uh it's great to be here
with all of you today
we've been working on something we think
is pretty special and we're just eager
to share it with you
in my time at the company I've been
lucky to witness a few important moments
and I think this might be another one of
those
We Believe asakya said that we can
improve the way billions of people can
benefit from the internet
created by really an amazing team across
Microsoft from the core web engineering
folks in mikhail's group to the
brilliant Folks at Microsoft research to
the tireless people that work on the
Azure AI supercomputer
we think of it humbly as the next
generation of search and browsing
infused with AI and assembled as an
integrated experience we are going to
reimagine the search engine
the web browser and new chat experiences
into something we think of as your
co-pilot for the web
now co-pilot is a critical word because
we believe in the empowering nature of
AI in which you the individual are in
charge
now what it is is not even as important
as what it represents
and that is for us an aspiration to
unlock the joy of discovery
The Wonder of creation
and that feeling of empowerment from
being able to harness the world's
knowledge
at the center of this new co-pilot
experience is an all-new Bing search
engine and Edge web browser
and it's going to do four things for you
first it's a better search it's to
search you know and love but it's better
because it's AI powered
second not only does it give you the
search results but it will actually
answer your questions
third we're going to make it incredibly
easy to use we're going to let you chat
we're going to let you just talk to it
naturally
and last when you need that spark of
creativity Bing can generate content for
you automatically to help you get
started
all right so let's talk a little bit
about the opportunity in Search and why
we believe we're at the start of the
Next Generation
oh no no sorry about that we're on to
the next generation
in all seriousness with over 10 billion
queries a day we all know the search
engine is an incredible tool we do and
yet as the web is grown we've run into
challenges
people are overwhelmed increasingly with
too many links when they're trying to
find simple answers
in fact 40 percent of the time people
click on search links they click back
immediately that's a sign they're not
finding what they want
and most notably we have to adapt to
search versus the other way around turns
out searchworks better if you give it
fewer keywords you might be surprised to
know that 75 of all searches are three
keywords or less
but come on we shouldn't be surprised
search has remained fundamentally the
same since the last major inflection
when we moved from a directory approach
to search to an algorithmic approach to
search
the user experience and the underlying
approach are essentially the same as 20
years ago
few keywords and you get millions of
links
but as the world around us has changed
the way people use search has changed we
all know this people are trying to use
search to do more than it was designed
to do
to illustrate that let's just look at a
breakdown of search queries by type to
understand this point
search queries today you can bucket them
into serve three types of categories the
first are what we call navigational
this is people searching for a website
so when you need to renew your driver's
license you need to go to the DMV
when you want to tell your friend about
that great pizza place you send in the
web link
that's what search was designed to do
and it does it super well
the second third of categories are we
what we call informational these are
things like what's the weather forecast
what was last night's sports scores
what's today's stock price
search works great for that but for
anything more complex like hey I've got
to pick up this love seat at the store
is it going to fit in the back of my car
search is going to fall short on that
and then the final third we'll Buck it
into what we call everything else these
are typically more deep research in
nature this is things like trip planning
or shopping complex shopping
an example query here that people are
putting in is hey can you recommend a
five-day itinerary to Mexico City and
for these search Falls far short of the
desired goal
what this means if you just kind of do
the simple math it means that roughly
half of all searches aren't delivering
the job that people want
if you if you go on that 10 million
queries it means that every second
50 000 people searches potentially go
unanswered
this is why we this is why we believe
it's time for a new approach in search
and for the billions of queries that are
going unanswered we've seen new attempts
to try and address the problem as you
all know there are vertical search
attempts Amazon has done a better job
for shopping YouTube is great for video
Reddit is a great place to come get
advice and the benefits of search are
well known it's fast it's timely and
there's a great business model
and then more recently they've been
another Vector more disruptive ideas
like leveraging AI to answer questions
directly and to generate content these
are amazing as well they show what's
possible
but what if you could get the two to
come together
Not only would you get two things in one
but we think you could actually solve
problems of age and we think you could
get to something that is really one plus
one equals three
and we have done that with the new Bing
I want to share with you four technical
breakthroughs the team has achieved to
make this come to life
first through our fantastic partnership
with Sam and the brilliant team at open
AI I'm excited to announce that Bing is
running on a new Next Generation large
language model
one that is much more powerful than chat
GPT and one that is customized
specifically for search
it's unlikely that you've had a chance
to play with and we can't wait for you
to try it
second
we've developed a proprietary way of
working with openai that allows us to
best leverage the power we call this
collection of capabilities and
techniques the Prometheus model
the core idea here is that both that
training and at run time we engage with
the openai model more intelligently
through our knowledge of the web via the
Bing index and some special query
techniques we're going to dig into this
a little bit more later but the benefits
are the following first we can improve
the relevancy of Answers by feeding in
and better tuning queries given our
understanding of the web search index
next we can annotate the answers with
specific web links and citations
we can get you more up-to-date
information because search crawls the
web every day and we can improve
understanding of geolocation
finally we can increase the safety of
the answers as well by catching queries
at initiation and then checking that
again a delivery of an answer
next
we've been making steady improvements on
the Bing algorithms for years and we
test these with independent judges and
it shows that RX search experience is on
par or better than any search experience
when you take away the brands
but a few weeks ago something special
happened
we applied the AI model to our course
search ranking engine and we saw the
largest jump in relevance in two decades
and we believe we can continue to drive
breakthroughs as we improve the models
and then finally
we are reimagining how you interact with
all of these capabilities across search
browser and chat by pulling them into a
unified experience
I want you to think about search coming
together with answers
search coming together with chat
and search coming together with the
browser
as we all know and as the folks at
openai taught us the user experience is
as important as the underlying technical
platform
all right enough talk you guys ready to
see it in action
let's show you how we're going to enable
the copilot for the web
now before I do I want to call out two
things for clarity first because there's
so much I'm going to show you and so I
you don't have to watch me type every
search I recorded these searches live
just yesterday
second in case there are Skeptics in the
room you're going to get a chance to
play with it directly put your hands on
it and type the same queries as well as
your own favorites right after this
presentation
all right you're all familiar with
search so I'm not going to show you a
search I want to show you what you can't
do today with today's search I'm going
to focus on answers chat and the ability
to create
but first let me introduce you to the
new Bing home page
you're going to notice some subtle but
important changes
first we have an expanded search box
capable of accepting up to a thousand
characters because now Bing works with
natural language and you saw a little
hint to chat which I'm going to get back
to in a second
now I want to set up the first search
scenario my daughter and I we both love
art she's studying art at school and I'd
like to stay connected with her on our
mutual passion last semester she was
learning about Mexican painters I'd like
to get a quick summary of the most
influential Mexican painters and their
Works to learn a bit more about the
topic
if I type the full query of what I'd
like to know in today's search here's
what I'd get
and so I'll just type in compare the
most influential Mexican artists
and their top paintings
and you'll get what you expect right
some links it's fine but we can do
better let's try this now in the new
Bing
what you'll see as we pull up is first
you see the web results here on the left
but then on the right you start to see
how we start to compile the answer
and what you get here now is we have the
ability to highlight these web links we
can annotate the results and that's
because we're able to go in and apply
our index onto the answers there
in other words the answers and the
search on one page has saved me a huge
amount of time
this gives you a little bit of a sense
of what you can do now you've seen some
of this before you might say hey I've
seen some of this let's show you how we
can do some additional things I'm going
to show you another query
so where we use the timeliness of search
so let's go ahead and ask about events
in Scottsdale
during the Super Bowl
and what you'll see is we get back an
answer here where we have events and
we're able to do that because Bing
crosshweb notice how we can find not
only that the Super Bowl is played in
Glendale on the 12th but then the events
like cardi B Super Bowl party that's on
the 10th also shows up so we were able
to pull these things together
so you get start to get a sense of how
we can build on what's today with the
Bing index
now I'm going to show you a few more of
these types of answers quickly so you
can get a sense of the power and The
Time Savings from Bing
when I'm running an errand like the
example I gave to you earlier I can ask
me to determine if that new love seat
from Ikea is going to fit in the back of
my Honda Odyssey
and what you'll see is being can
actually find the dimensions of the love
seat
the Interior Space of the car and then
make an estimation as to whether it will
fit
in this case I'm choosing an example of
where Bing does not know the answer
and we know and we know that we can't be
definitive about it and the reason I'm
doing that is because we know we won't
be able to answer every question every
time but Bing can still provide some
helpful information as you can see on
this answer
we also know we'll make our share of
mistakes and as we begin to roll this
out so we've added a quick feedback
button at the top of every search so
that you can give us feedback and we can
learn
another example when I'm shopping I can
ask Bing to search find and compare the
top three selling pet vacuums listing
the pros and cons and just take a look
look how great this answer is it has all
three of the products I'm looking for
super helpful pros and cons
and think if you had to compile that how
much time that would take you to do and
as you can see at the top of the page we
still have the advertising in this
example because we know when people are
shopping Those ads are helpful
and finally on this one if I'm cooking
and I realize I've forgotten a key
ingredient for in this case for example
eggs for my cake recipe
Bing can not only find the exact the egg
substitutes it can get me the exact
amount for each ingredient
and and take a look at this I love this
you can actually see for example if you
go with vinegar and baking soda the cake
is lighter and more fluffy these are
just little helpful tips that every day
help make your life a little better
these are just some examples and you can
start to get a sense of how with answers
we go far beyond what you can do with
search day we can actually help you get
what you want to get done
now let me tell you about how Bing goes
further to help you with particularly
complex questions for which there's not
a precise answer
I wanted to introduce to you the new
chat experience in bing I think of this
as search with your own personal helper
to help you refine your query until you
get exactly what you're looking for
this comes in handy for activities like
trip planning and shopping research
let's start with shopping
so I'm going to look for a 65 inch TV
again you see our ads at the top the
result the links on the left and the
answers here on the right and you can
pick whichever you'd like
we give you a good set of answers but
now I want to refine this query so I can
do that by going to chat now I can
either swipe up with my fingers or look
up here at the top of the screen we have
now a new chat scope and with that with
one click you are now into chat look how
beautiful that is search to chat just so
seamless and now we take away all of the
content that was in your place and you
focus you on your query the search box
you can't see now that can take up to 2
000 characters so you can really you can
just talk to it you can just ask for it
so in this case let's say I'm going to
ask for a gaming optimized TV all I have
to say is which of these are best for
gaming and we remember all of the
context we know that we're talking about
flat screens we know we're talking about
65-inch TVs and look how Bing starts to
come back it does all the queries on my
behalf and comes back with a great
answer
and I just want to highlight a few
things for you since we know you're
asking about gaming TVs we pull out oh
this one has a game Optimizer this has
game mode and so we make that really
helpful I'm on a budget
I'll ask it to adjust it for which one
of these is the cheapest again thing
knows the context and it just goes in
and re-fires the queries
so easy you just talk to it and you can
refine your shopping experience and
again we find the prices here I didn't
know you could get a flat screen for
under 500 but that's a good deal there
on Bing if you're looking for a TV
all right so we think that's going to
make shopping and shopping easier let's
talk about travel and before I jump in I
want to kind of just remind you have you
remind yourself when you're going to
plan a trip to a foreign country think
about all the things you go through
travel times what sites do I want to see
regulations to observe budget our
research shows were on Bing people spend
on average weeks to even months to plan
a trip and to use our organizational
tools I'm going to show you how we make
that so much easier with the new being
I'm traveling to Mexico for my cousin's
wedding and with the new Bing I now
don't have to start with something
that's dumbed down like Mexico City
travel tips I can ask for what I want
first let me just compare that against
what you get in today's search engines
so I'll type in this long query of what
I really want and you know you get what
you expect links to go try and find find
the answer for yourself right but we can
do much better let's try it in the new
Bing so I'll type the I put in the long
query
which is essentially create an itinerary
for a five-day trip to Mexico City for
me and my family
and just like that Bing goes to work and
just take a look at how it starts to
compile it starts with day one and we we
put in there look arrive in Mexico City
check into your hotel go check out maybe
the Playa de artes you know have some
lunch then there's day two and you see
isn't this just so much better as a
starting point and look if you want to
learn more if you're like hey I don't
love these five days no problem down
there we have links where you can go and
learn more
and uh and we put in some nice touches
in there as well and again now let's say
business travel changes oh I only have a
three day I don't have to go back out
there and figure I just say hey make
this a three-day trip
and Bing reflows that recommendation
into a three-day trip and now let's now
let's just have some fun let's say okay
yeah I'm still trip planning
um we like to shop where can I shop
and you get some shopping
recommendations like to go out at night
all right make the most of the trip
where's the nightlife
and you get a list of nightlife you see
this is just so much better than today's
shirt search to start uh for your travel
planning let me show you a final example
of uh chat and how I think the new
language models are going to maybe help
bring the world a little bit closer
together
understanding different cultures is
often done through the Arts like music
and literature and I've been fascinated
by Japanese Traditions satis shared with
me one of his favorite searches from a
while back on poetry so with that I'm
going to use that as inspiration so
without a clear idea of what I want
necessarily I'm just going to type in a
simple prompt top Japanese poets
and Bing starts to respond with a nice
list and you see this it does a great
job of mixing the Japanese language and
the English language and it knows since
I'm currently in English to do that
right away I learned about this poet
matsuo bashu turns out he is uh one of
the greatest Haiku masters of the world
I love how it not only lists his name
but we go ahead and we give you one of
his famous haikus in Japanese and we
Auto translate it in English
great and I could say I'll learn a
little bit more about matsuo so I can
tell me a little bit more
we give you another jumping off point
that's great and then I can say hey tell
me about another haiku
now what I want you to reflect on is
look how easy this is to discover
something new normally I might not have
done this I might not have gone to learn
about something new in the world through
search because it's just you know it's
cumbersome to click on links and have to
deal with foreign languages but this is
what we mean by unlocking the joy of
discovery
all right finally when what you are
searching for doesn't exist and you need
that spark of creativity Bing can
generate the content to help you get
started
we just finished planning that trip to
Mexico and now what I would like to do
is I'd like to share that information
with my family
they're all over the world but I can
simply asking hey write an email
sharing this itinerary with that I've
researched and and put it in the thing
for me to be able to send to my family
so notice here how the email starts it's
a great email personalized touches has
the trip highlights it'll close you with
a nice heartfelt message it's just a
great way just saves a bunch of time on
your everyday work
now for my family uh English isn't
necessarily always the first language so
I can ask Bing to just translate that in
Spanish
and with a simple request just basically
say hey translate it to Spanish big
knows to take that entire email and
itinerary and convert that into Spanish
in fact Bing can translate automatically
in over a hundred languages
my sister I'm going to admit to you
she's a better Spanish writer than I am
but I might just impress her with this
one here and even if I don't at least I
save myself a lot of time from having to
type the mail
our focus with Bing is to help generate
content and inspiration that helps you
with your daily life
and I'm going to give you a couple more
examples
uh let me show you one here
I want to create a weekly meal plan from
my family a four that has vegetarian
options and caters to those that don't
like nuts
since I'm not the healthiest of eater
I'm going to admit to you here on
occasion this has given me a great uh
list Day by Day breakfast lunch and
dinner with all of the ingredients
so much easier to help you start like to
create a meal plan that says hey let me
get to a healthier meal plan uh now this
there's some things in there I learned
when I did this query which is chia
seeds which I don't normally eat that
sparked another idea to show you let's
say I want to get this grocery list by
grocery section
so all I can do is say give me that
grocery list by grocery section and Bing
now takes that exact menu for the week
and puts all of the ingredients I need
by section by grocery section so when I
go shopping that can be super efficient
right so you see all of the ingredients
there it's a great it's a great help
and then finally if you're looking for
family activities and you're struggling
for ideas Bing can help you with fun
things like spontaneous trivia games
my family and I were into music so I
asked Bing to create a 90s music trivia
game and just look how great some of
these questions are and the answer so
just creates that game for you and uh um
we were having a little debate backstage
about one of the questions that comes up
here which is uh who wrote the hip song
uh Jump Around is it crisscross or House
of Pain
and I call it out because it shows you
how clever it is because for those of
you who know your 90s hip-hop Kriss
Kross wrote a song called jump
but House of Pain was the one that wrote
jump around that's how clever Bing is
so Bing is going to help you make great
with your look great with your family
and have a bunch of fun
so let's summarize where we are so far
you've seen better search you've seen
complete answers you've seen an
incredible new chat experience and the
ability to spark your creativity all
with Bing your AI powered copot for the
web
but but but but thank you but
what if that's still too much work
what if you could have that co-pilot
right alongside you so is there at the
ready at any time you want it
aware of the context in which you're in
and what if you could get that Copilot
on the 1.4 billion Windows PCS
on the most used application on the PC
the browser
well you don't have to wonder team has
created it I want to introduce you to
your AI powered co-pilot in Edge
we've just updated edge with a new look
and feel and new AI capabilities
as you can see here it's sleeker it's
lighter and you're going to notice now
that we've integrated Bing in a really
cool new way
let me show you
here I am on the Gap website I'm browser
on in my new edge browser and I want to
read a gaps quarterly report
so I can navigate down to their earnings
click on Q3 and up comes the 15 page uh
Gap PDF it's pretty long I won't have
time to read all that what I'd love is a
summary of the key points I want to show
you how now with the power of Bing's AI
capabilities within Edge we can help
with one click
I can open up the sidebar and now as you
can see at the top of the window we have
two features we have chat and compose
let me show how chat works
I can use chat in Edge to Simply ask it
to give me the key takeaways of the page
I'm on so I'll just say key takeaways
from the page and Bing and AI can now
read that PDF and look how great it
comes up with the summary of the key
points here their earnings the fact that
it's going to reaffirm full year
guidance very very cool a massive Time
Savings
but now I want to compare this with say
Lululemon who also has their third
quarter earnings
Bing can now call out to the web pull
information from outside of this page
bring it into Edge compare it with the
information that's on this page all with
an edge and I asked it to do it in a
table and look how amazing this is
just like that in one table I can get an
answer this question think about how
much time that would have taken
otherwise
let me show you we can take it one step
further
a top use case we've learned from our
friends at open AI is that developers
are really being more productive with
chat GPT
so here we're on a stack Overflow
website discussion board to learn a
little bit about programming and in this
case I'm researching tips on how to
parse the Json file
as we read through we find this great
little code snippet and I'm like oh it's
fantastic except it's in Python and we
need it in rest
all we need to do is highlight that text
have it automatically you know copied
over into the edge sidebar and now being
inside of Ed says what do you want to do
we'll say hey rewrite this code in Rust
and with that simple command Bing can go
and take that code and rewrite that
automatically in the new programming
language this is amazing
GitHub copilot has been a huge boost in
developer productivity imagine what the
co-pilot can do for people everywhere on
any page
one final thing to show you not only can
you better consume information but you
can better create
after our big announcement I'm going to
want to write a LinkedIn post let's say
so I'll just click create on the post
and up comes with a creation dialog in
LinkedIn but now I can open up the Bing
sidebar and you can see here I now will
go to compose and I'll just give it a
prompt I'll say hey introducing the new
AI powered Bing an edge let's make that
enthusiastic and generate a draft
and just like I need help with
enthusiasm and just like that you get a
little draft and I can edit it and then
with one click it copies right over into
my post dialog I can add some hashtags
to get it some some juice and just like
that I've created a post
so all of these amazing new capabilities
and what we think is a revolutionary new
experience
world-class search
the ability to actually get answers to
your questions Made Easy with integrated
chat and the ability to generate content
when you need it to spark your
imagination brought to you not only when
you're searching
but everywhere on the web courtesy of
the new edge browser with your co-pilot
for the web we aspire to unlock that Joy
of discovery that Wonder of creation and
that feeling of empowerment of being
able to harness the world's knowledge
thank you on that on the presentation
[Applause]
in a moment two of our engine
engineering leaders are going to come up
and unpack a little bit about the
technical details of how we built the
new Bing and our approach to responsible
AI but before I do I'd like to invite
Sam Altman to come up and share his
thoughts on this moment and our joint
work welcome Sam
thank you Yousef uh it's great to be
here the the new Bing experience really
looks fantastic and the depth of it
doesn't come through until you get to
use it so I hope you all will enjoy
open Ai and Microsoft have been working
together for more than three years now
we're so grateful to have a partner that
shares our vision our values of building
an advanced AI That's safe and we'll
have a very positive impact on society
thanks to our partnership and azure's AI
infrastructure we've been able to make
pretty significant strides in our
research which has led to the creation
of systems like Chachi PT Dolly and
codex
but we want to make the benefits of AI
available to as many people as possible
and that's why we've worked with
Microsoft to get this AI technology into
the hands of millions of people through
Azure open AI service GitHub co-pilot
and starting today Bing
this new Bing experience is powered by
one of our next Generation models that
Microsoft does customized specifically
for search it takes key learnings from
chat GPT GPT 3.5 and the new model is
faster more accurate and more capable
we all search for things many times a
day and Microsoft has created and
shipped a much better more useful and
more enjoyable search experience I feel
like we've been waiting for this for 20
years so I'm very happy it's here
I believe that using AI to transform
critical tasks like these is going to
greatly improve our productivity and
day-to-day quality of life I think this
is the beginning of a very new era
going forward we are excited to continue
to collaborate with Microsoft very far
into the future the two companies share
a deep sense of responsibility in
ensuring that AI gets deployed safely
it's very important to us we're eager to
continue learning from Real World use so
the great better and better AI systems
you've got to do that in the real world
not in the lab and our teams will
continue working together to set
standards for the use of these systems
across the entire industry thank you
very much and now I'll hand it over to
Dina
[Applause]
Yousef hello I'm Dina Saunders I'm the
product leader of the team who brought
together the magic behind Bing combined
with open ai's most powerful model to
date
Yusuf introduced you to Prometheus I'm
here to tell you about the technical
Innovation behind the experience
there are five aspects contributing to
the newbing the first is a substantial
under the hood change to every layer of
Bing's technological stack
the second is a proprietary system
called Bing chat orchestration
the third is state-of-the-art prompt
generation
the fourth is around inference and a
brand new interactive user experience
our last development is the
infrastructure to scale for the
opportunity ahead
today we'll touch on three of these
let me start with Bing chat
orchestration this is what we use to
gather information needed to answer your
question
the chat orchestrator ingests your long
semantic query and fans out multiple
searches
in fact you might remember as Yusuf was
sharing earlier you could actually see
in the user experience the searches that
Bing plus Prometheus is issuing on your
behalf
in addition to searching we also inject
additional sources of information to
help inform the model let me pause here
and say that is incredibly important
we're actually pulling in fresh data
news answers contextual signals such as
your location and the context of the
conversation to feed into the model to
help ground the information that the
model is then using to reason over
with this fresh information some of the
experiences that Yusuf showed you
earlier such as a sports example or
inferring on recent events those would
simply not be possible
there's more though this orchestrator in
parallel actually parses the documents
that it finds and identifies important
and relevant pieces of information
this orchestrator is by nature curious
and if it comes across something
particularly interesting or insightful
it actually starts that same cycle again
this virtuous Loop results in a package
of information that informs and fuels
the responses you are seeing
this magic combination of reasoning
capabilities with fresh contextual data
Sparks the Innovative and groundbreaking
combination that powers the newbing
next I'll talk about inference and the
new interactive user experience
the new interactive experience
seamlessly Blends search and chat we
feed a prompt I.E a proprietary set of
instructions into the model which
synthesizes the information reasons over
all of the context that we've gathered
to form an answer to your question
this overall process is called Model
completion
think of it like when someone knows you
well enough to complete your sentence
we run model inferences to generate
tokens I.E Words which we stream to in
the user experience real time as you saw
in yusuf's examples these words combine
with sentences to form their response to
your question and when appropriate
Prometheus enhances the text answer with
citations to sources and Rich structured
answers from Bing
and use this presentation you saw that
these inferences display in a brand new
Innovative dual interactive user
experience that blends new
conversational elements a classic search
experience and a new interactive
immersive chat mode
the last aspect of our differentiation
and Innovation is around the
infrastructure we have to scale
our differentiation comes really from
taking this Innovation that we just
shared with you today and being able to
ship this at scale to millions of users
worldwide
earlier I talked about how we touched
every aspect of the tech stack to
deliver this all of those steps that we
just talked about those are done in the
order of milliseconds served at the
speed of search latency
when Yusuf was showing you the search
page you could see near instant search
results checks to post on the
conversational insights all streaming in
this is possible because we are built on
Azure the world supercomputer the best
and most trusted Cloud platform
available
this was a huge effort incredibly hard
behind the scenes teams were working on
powering and building out machines in
data centers worldwide we were carefully
orchestrating and configuring a complex
set of distributed resources we built
new platform pieces designed to help
load balance optimize performance and
scale like never before
there is no other company that can do
this like Microsoft and Bing
as we roll out the product globally
we're starting out small focused on
learning and evolving with the help of
your feedback
we understand that with this major
technological shift there will be new
challenges along the way we're committed
to learning with you
on behalf of the team we're delighted to
share this moment with you and with that
let me introduce you to Sarah who's one
of Microsoft's renowned responsible AI
experts
[Applause]
I'm Sarah Byrd I lead our responsible AI
engineering team for new foundational AI
Technologies like the Prometheus model
I was one of the first people to touch
the new open AI model as part of an
advanced red team that we pulled
together jointly with openai to
understand the technology my first
reaction was just wow
it's the most exciting and Powerful
technology I have ever touched
but with the technology this powerful I
also know that we have an even greater
responsibility to ensure that it is
developed deployed and used properly
which means there's a lot that we have
to do to make it ready for users
fortunately at Microsoft we are not
starting from scratch
we have been preparing for this moment
for many years
since 2017 we have been investing in a
cross-company program to ensure that our
AI systems are responsible by Design
which has pushed us to innovate across
our entire portfolio of products to
solve responsible AI challenges
through that we have created a
foundation of responsible AI product
implementation patterns that we can
build on top of
we're also not new to working with
generative AI Technologies
we've been using early versions and
office and Bing for spell checking and
grammar rewriting for years
obviously lately it's only getting more
exciting in the past year we launched
the GitHub copilot GA based on the Codex
code generation model the Bing Creator
powered by the Dali image generation
model and our own Florence multimodal
model
that's a lot of generative AI and with
each one we have learned more about the
risk the generative AI Technologies can
bring including well-known ones like the
perpetuation of stereotypes and bias as
well as novel risk such as jailbreaks
and we have developed mitigations to
address them
in developing the new Bing we are
building on our years of operating
large-scale consumer and Enterprise
services and our deep partnership with
openai
however for this product we went further
than we've ever gone before
we have marshalled the full strength of
our responsible AI ecosystem
scientists researchers ethicists
engineers and legal and policy experts
to work together as a single team
to develop approaches to measurement and
risk mitigation strategies
we've added responsible AI to every
layer from the core AI model to the user
experience
first starting with the base technology
we are partnering with openai to improve
the Model Behavior through fine-tuning
second we've built a state-of-the-art
safety system
Bing has been maturing its defensive
Technologies over many years of
operating a web scale search engine
these include AI systems that understand
user queries and classify documents to
ensure safe and quality results for
users
we have combined these with newer AI
technologies that we've created in Azure
to moderate generative models
We are continuing continuously
retraining all of these safety models by
mining Anonymous Bing query logs and
using the new openai model to generate
thousands of example conversations
and we can update our defenses in
minutes to respond to gaps we find or
changes in the world
the result is a safety system that
enables us to act and understand data at
every level of the application so we can
defend against intentional misuse and
mistakes from the AI
finally at the application layer we are
iterating on instructions as part of the
meta prompt to guide the model to
produce great responses
and we have designed the user experience
to ensure users understand and are in
control
so how do we know all of this works
measuring responsible AI harms is a
challenging new area of research so this
is where we really needed to innovate
we had a key idea that we could actually
use the new openai model as a
responsible AI tool to help us test for
potential risk
and we developed a new testing system
based on this idea
let's look at attack planning as an
example of how this works
early red teaming showed that the model
can generate much more sophisticated
instructions than earlier versions of
the technology to help someone plan an
attack
for example on a school
obviously we don't want to Aid illegal
activities in the new Bing
However the fact that the model
understands these activities means we
can use it to identify and defend
against them
first we took advantage of the model's
ability to conduct realistic
conversations to develop a conversation
simulator
the model pretends to be an adversarial
user to conduct thousands of different
potentially harmful conversations with
Bing to see how it reacts
as a result we're able to continuously
test our system on a wide range of
conversations before any real user ever
touches it
once we have the conversations the next
step is to analyze them to see where
Bing is doing the right thing versus
where we have defects
conversations are difficult for most AI
to classify because they're multi-turned
and often more varied but with the new
model we were able to push the boundary
of what is possible
we took guidelines that are typically
used by expert linguists to label data
and modify them so the model could
understand them as labeling instructions
we iterated it with it and the human
experts until there was significant
agreement in their labels
we then use it to classify conversations
automatically so we could understand the
gaps in our system and experiment with
options to improve them
this system enables us to create a tight
Loop of testing analyzing and improving
which has led to significant new
Innovations and improvements in our
responsible AI mitigations from our
initial implementation to where we are
today
the same system enables us to test many
different responsible AI risk for
example how accurate and fresh the
information is
of course there's still more to do here
today and we do see places where the
model is making mistakes so we wanted
him to empower users to understand the
sources of any information and detect
errors themselves which is why we have
provided references in the interface
we've also added feedback features so
that users can point out issues they
find so that we can get better over time
maturing a new technology takes time and
collaboration which is why we're very
excited for this next phase where we can
share the technology with the real world
we look forward to seeing users unlock
its full potential and getting feedback
from stakeholders across Society to help
develop this into an essential tool for
the future
our goal is to continuously Advance the
state of the art
Youssef back to you
Sarah
all right to close we have one final
piece of news to share
I'm pleased to announce that the new
Bing is live today for desktop on
limited preview what this means is that
we're going to make Bing available today
for everyone to try on a limited number
of queries and then to sign up on the
waitlist to get access to the full
experience
we're also starting with a select group
of folks who will have access to the
full experience right away
all of you here in the room you're all
going to be on that list so you're all
going to get to try with try it right
away
and in addition then we plan to expand
to millions of people in the coming
weeks
we're also going to be launching our
mobile version
today is an important part of our
journey but it's just the beginning as
Satya said we intend to innovate quickly
get your feedback and continue to bring
new Innovations and capabilities to
everyone
welcome to the new being an edge thanks
very much thanks for being here
[Music]
[Music]