OpenAI DevDay: Opening Keynote

Key Takeaways

good morning thank you for joining us today please welcome to the stage Sam [Music] Alman good morning Welcome to our first ever open AI Dev day we're thrilled that you're here and this energy is awesome and welcome to San Francisco San Francisco has been our home since day one the city is important to us and to the tech industry in general we're looking forward to continuing to grow here so we've got some great stuff to announce today but first I'd like to take a minute to talk about some of the stuff that we've done over the past year about a year ago November 30th we shipped chat GPT as a low-key research preview and that went pretty well in March we follow that up with the launch of GPT 4 still the most capable model out in the world and in the last few months we launched voice and vision capabilities so that chat GPT can now see hear and speak and more Rec there's a lot you don't have to clap each time and and more recently we launched Dolly 3 the world's most advanced image model you can use it of course inside of chat GPT for our Enterprise customers we launch chat GPT Enterprise which offers Enterprise grad security and privacy higher speed gp4 access longer context Windows a lot more today we've got about 2 million developers building on our API for a wide variety of use cases doing amazing stuff over 92% of Fortune 500 companies building on our products and we have about a 100 million weekly active users now on on chat gbt and what's incredible on that is we got there entirely through Word of Mouth people just find it useful and tell their friends open AI is the most advanced and the most widely used AI platform in the world now but numbers never tell the whole picture on something like this what's really important is how people use the products how people are using Ai and so I'd like to show you a quick video I actually wanted to write something to my dad in talo I want a non-romantic way to tell my parent that I love him and I also want to tell him that he can rely on me but in a way that still has the respect of like a childt parent relationship that you should have in topino culture and in tala Grandma when it's translated into tal I love you very deeply and I will be with you no matter where the path leads I see somebody posib like w sometime I'm not sure about some stuff and I feel like actually like hey this what I'm thinking about so it kind of give me that more confidence the first thing that just blew my mind was it levels with you like that's something that a lot of people struggle to do it opened my mind to just what every creative could do if they just had a person helping them out who lers so this is a to represent sickling hemoglobin and you built that with Chad GPT Chad G PT built it with me I started using it for daily activities like hey here's a picture of my fridge can you tell me what I'm missing cuz I'm going grocery shopping and I really need to do recipes that are following My Vegan Diet as soon as uh we got access to code interpreter I was like wow this thing is awesome they can build spreadsheets it could do anything I discovered catty about 3 months ago on my 100th birthday caddy is very friendly very patient very knowledgeable and very quick it's been a wonderful thing I'm a 4.0 student but I also have four children when I started using chat GPT I realized I could ask chat GPT that question and not only does it give me an answer but it gives me an explanation didn't need tutoring as much it gave me a life back it gave me time for my family and time for me I have chronic nerve pain uh on my whole left half of my body of nerve damage uh had like a spine a brain surgery and so I have like limited use of my left hand now you can just have like the integration of voice input and then the newest one where you can have the back and forth dialogue that's just like maximum best interface for me it's [Music] [Applause] here so we we love hearing the stories of of how people are using the technology it's really why we do all of this okay so now on to the new stuff and we have got a lot first we're going to talk about a bunch of improvements we've made and then we'll talk about where we're headed next over the last year we spent a lot of time talking to developers around the world we've heard a lot of your feedback it's really informed what we have to show you today today we are launching a new model gp4 [Applause] turbo gp4 Turbo will address many of the things that you all have asked for so let's go through what's new we've got six major things to talk about for this part number one context length a lot of people have tasks that require a much longer context length gp4 supported up to 8K and in some cases up to 32k context length but we know that isn't enough for many of you and what you want to do gp4 turbo supports up to 128,000 tokens of context that's 300 pages of a standard book 16 times longer than our 8K context and in addition to longer context length you'll notice that the model is much more accurate over a long context number two more control we've heard loud and clear that developers need more control over the model's responses and outputs so we've addressed that in a number of ways we have a new feature called Json mode which ensures that the model will respond with valid Json this has been a huge developer request it'll make calling apis much easier the model is also much better at function calling you can now call many functions at once and it'll do better at following instruction instructions in general we're also introducing a new feature called reproducible outputs you can pass a seed parameter and it'll make the model return consistent outputs this of course gives you a higher degree of control over Model Behavior this rolls out in beta today and in the coming weeks we'll roll out a feature to let you view log probs in the API all right number three Better World Knowledge you want these models to be able to access better knowledge about the world so do we so we're launching retrieval in the platform you can bring Knowledge from outside documents or databases into whatever you're building we're also updating the knowledge cut off we are just as annoyed as all of you probably more that gbd for's knowledge about the world ended in 2021 we will try to never let it get that out of date again gp4 turbo has knowledge about the world up to April of 2023 and we will continue to improve that over time number four new modalities surprising no one Dolly 3 gp4 Turbo with vision and the new text to speech model are all going into the API today we have a handful of customers that have just started using Dolly 3 to program programmatically generate images and Designs today K is launching a campaign that lets his customers generate devali cards using dolly3 and of course our safety systems help developers protect their applications against misuse those tools are available in the API gp4 turbo can now accept images as inputs via the API can generate captions classifications and Analysis for example B my eyes uses this technology to help people who are blind or have low vision with their daily tasks like identifying products in front of them and with our new text of speech model you'll be able to generate incredibly naturally natural sounding audio from text in the API with six preset voices to choose from I'll play an example did you know that Alexander Graham Bell the eminent inventor was enchanted by the world of sounds his ingenious mind led to the creation of the graphophone which etched sounds onto wax making voices whisper Through Time this is much more natural than anything else we've heard out there voice can make apps more natural to interact with and more accessible it also unlocks a lot of use cases like language learning and voice assistance speaking of new modalities we're also releasing the next version of our open-source speech recognition model whisper V3 today and it'll be coming soon to the API it features improved performance across many languages and we think you're really going to like it okay number number five customization fine-tuning has been working really well for GPT 3.5 since we launched it a few months ago starting today we're going to expand that to the 16k version of the model also starting today we're inviting active fine-tuning users to apply for the gp4 fine-tuning experimental Access program the fine-tuning API is great for adapting our models to achieve better performance in a wide variety of applications with a relatively small amount of data but you may want a model to learn a completely new knowledge domain or to use a lot of proprietary data so today we're launching a new program called custom models with custom models our researchers will work closely with a company to help them make a great custom model especially for them and their use case using our tools this includes modifying every step of the model training process doing additional domain specific pre-training a custom RL post-training process for a specific domain and whatever else we won't be able to do this with many companies to start it'll take a lot of work and in the interest of expectations at least initially it won't be cheap but if you're excited to push things as far as they can currently go please get in touch with us and we think we can do something pretty great okay and then number six higher rate limits we're doubling the tokens per minute for all of our established gp4 customers so that it's easier to do more and you'll be able to request changes to further rate limits and quotas directly in your API account settings in addition to these rate limits it's important to do everything we can do to make it you successful building on our platform so we're introducing copyright Shield copyright Shield means that we will step in and defend our customers and pay the costs incurred if you face legal claims around copyright infringement and this applies both to chat GPT Enterprise and the API and let me be clear this this is a good time to remind people we do not train on data from the API or chat gbt Enterprise ever all right there's actually one more developer request that's been even bigger than all of these uh and so I'd like to talk about that now and that's pricing gp4 turbo is the industry leading model it delivers a lot of improvements that we just covered and it's a smarter model than gp4 we've heard from developers that there are a lot of things that they want to build but gp4 just cost too much they've told us that if we could decrease the cost by 20 25% that would be great a huge leap forward I'm super excited to announce that we worked really hard on this and gp4 turbo a better model is considerably cheaper than gp4 by a factor of 3x for prompt tokens and 2x for completion tokens starting today so the new pricing is 1 cent per th000 prompt tokens and 3 cents per thousand completion tokens for most customers that will lead to a blended rate more than 2.75 times cheaper to use for gp4 Turbo than gp4 we worked super hard to make this happen we hope you're excited about as we are so we decided to prioritize price first because we had to choose one or the other but we're going to work on speed next we know that speed is important too soon you will notice gp4 turbo becoming a lot faster we're also decreasing the cost of GPT 3.5 turbo 16k also input tokens are 3x less and output tokens are 2x less which means the GPT 3.56k is now cheaper than the previous GPT 3.5 4K model running a fine tuned GPT 3.5 turbo 16k version is also cheaper than the old fine-tuned 4K version okay so we just covered a lot about the model itself we hope that these changes address your feedback we're really excited to bring all of these improvements to everybody now in all of this we're lucky to have a partner who is instrumental in making happen so I'd like to bring out a special guest Saia Nadella the CEO of [Applause] [Music] Microsoft welcome good to see you thank you so much thank you SAA thanks so much for coming here it's fantastic to be here and uh Sam congrats I mean I'm really looking forward to tobo and everything else that you have coming it's been just fantastic partnering with you guys um two questions won't take too much of your time how are how is Microsoft thinking about the partnership sh currently look first we love you guys now look it's it's it's been fantastic for us in fact I remember the first time I think you reached out and said hey do you have some Azure credits we've come a long way from there uh thank you for those that was great you you guys have built something magical I mean quite frankly there are two things uh for us when it comes to the partnership the first is these workloads and even when I was listening backstage to how you're describing what's coming even it's just so different and new I've been in this infrastructure business for you know three decades no one has ever seen infrastructure like yeah and and the workload and the pattern of the workload these you know these training jobs are so synchronous and so large and so data parallel um and so the first thing that we have been doing is building in partnership with you the system all the way from thinking from power to the DC to the rack to the accelerators to the network uh and just you know really the the shape of of azure is drastically changed uh and is changing rapidly in support of these models that you're building and so our job number one is to build the best systems so that you can build the best models and then make that all available to developers and so the other thing is we ourselves are a developers so we're building products in fact my own conviction of this entire generation of foundation models completely changed the first time I saw you know get up co-pilot on uh GPT um and so we want to build our co-pilot GitHub co-pilot all as developers uh on top of open Ai apis and so we are very very committed to that and what does that mean to developers you know look I I always think of Microsoft as a platform company a developer company and a partner company and so we want to make you know for example we want to make GitHub available GitHub co-pilot available as the Enterprise Edition available to all the attendees here so that they can try it out that's awesome yeah we're very excited about that and you can count on us to build the best infrastructure in Azure with your API support uh and bring it to all of you and then even things like the Azure Marketplace so for developers who are building products out here to get to the market uh rapidly so that's sort of really our intent here great and how do you think about the future future of the partnership or future of AI or whatever yeah there anything you want that's a uh you know like there are couple of things for that I think are going to be very very key for us right one is I just described how the systems that are needed as you aggressively push forward on your road map um requires us to be on the top of our game and we intend fully to commit ourselves deeply to making sure you all as Builders of these Foundation models have not only the best systems uh for training and inference but the most compute so that you can keep pushing we appreciate that forward uh on the Frontiers because I think that that's the way we're going to make progress the second thing I think both of us care about in fact quite frankly the thing that excited both sides to come together is your mission and our mission our mission is to empower every person and every organization on the planet to achieve more and to me ultimately AI is only going to be useful if it truly does empower right I mean I saw the video you played early I mean that was fantastic to see those hear those voices describe what AI meant for them and what they were able to achieve so ultimately it's about being able to get the benefits of AI broadly decimated to everyone I think is going to be the goal for us and then the last thing is of course we're very grounded in the fact that safety matters and safety is not something that you'd care about later but it's something we do shift left on and we are very very focused on that with you all great well I think we have the best partnership in Tech I'm excited for us to build AGI together no I'm really excited have a fantastic thank you very much thank you so much see [Applause] you okay so we have shared a lot of great updates for developers already and we got a lot more to come but even though this is a developer conference we can't resist making some improvements to chat GPT so a small one chat GPT now uses gp4 Turbo with all the latest improvements including the latest knowledge cut off which will continue update that's all live today it can now browse the web when it needs to write and run code analyze data take and generate images and much more and we heard your feedback that model picker extremely annoying that is gone starting today you will not have to click around the drop down menu all of this will just work together chat GPT yeah chat GPT will just know what to use and when you need it but that's not the main thing uh and neither was price actually the main developer request that there was one that was even bigger than that and I want to talk about where we're headed and the main thing we're here to talk about today so we believe that if you give people better tools they will do amazing things we know that people want AI that is smarter more personal more customizable can do more on your behalf eventually you'll just ask a computer for what you need and it'll do all of these tasks for you these capabilities are often talked in the AI field about as agents the upsides of this are going to be tremendous at open AI we really believe that gradual iterative deployment is the best way to address the safety issues the safety challenges with AI we think it's especially important to move carefully towards this future of Agents it's going to require a lot of technical work and a lot of thoughtful consideration by Society So today we're taking our first small step that moves us towards this future we're thrilled to uh we're thrilled to introduce gpts gpts are tailored versions of chat GPT for a specific purpose you can build a GPT a customized version of chat GPT for almost anything with instructions expanded knowledge and actions and then you can publish it for others to use and because they combine instructions expanded knowledge and actions they can be more helpful to you they can work better in many contexts and they can give you better control they'll make it easier for you to accomplish all sorts of tasks or just have more fun and you'll be able to use them right within chat GPT you can in effect program a GPT with language just by talking to it it's easy to customize the behavior so that it fits what you want this makes building them very accessible and it gives agency to everyone so we're going to show you what gpts are how to use them how to build them and then we're going to talk about how they'll be distributed and discovered and then after that for developers we're going to show you how to build these agent like experiences into your own apps so first let's look at a few examples our partners at code.org are working hard to expand computer science in in schools they've got a curriculum that is used by tens of millions of students worldwide code.org crafted lesson planner GPT to help teachers provide a more engaging experience for middle schoolers if a teacher asks it to explain for Loops in a creative way it does just that in this case it'll do it in terms of a video game character repeatedly picking up coins super easy to understand for an eighth grader as you can see this GPT brings together code.org extensive curriculum and expertise and lets teachers adapt it to their needs quickly and easily next canva has built a GPT that lets you start designing by describing what you want in natural language if you say make a poster for Dev a Dev day reception this afternoon this evening and you give it some details it'll generate a few options to start with by hitting canvas apis now this concept may be familiar to some of you we've evolved our plugins to be custom actions for gpts you can keep chatting with this to see different iterations and when you see one you like you can click through to canva for the full design experience so now we'd like to show you a GPT live capier has built a GPT that that lets you perform actions across 6,000 applications to unlock all kinds of integration possibilities I'd like to introduce Jessica one of our Solutions architects who is going to drive this demo welcome Jessica thank you s h everyone thank you all thank you all for being here my name is Jessica I work with partners and customers to bring their product alive and today I I can't wait to show you you how hard we've been working on this so let's get started so to start where your gbt will live is on this upper left corner I'm going to start with clicking on the zapier AI actions and on the right hand side you can see that's my calendar for today so it's quite a day I've already used this before so it's actually already connected to my calendar to start I can ask what's on my schedule for today we build gpts with security in mind so before a forms any action or share data it will ask for your permission so right here I'm going to say allowed so gbt is designed to take in your instructions make the decision on which capability to call to perform that action and then execute that for you so you can see right here it's already connected to my calendar it pulls into my my information and then I've also prompted it to identify conflicts on my calendar so you can see right here it actually was able to identify that so it looks like I have something coming up so what if I want to let Sam know that I have to leave early so right here I say Let Sam no I got to go um chasing gpus so with that I'm GNA swap to my conversation with Sam and then I'm going to say yes please run that Sam did you get that I did awesome so this is only a glimpse of what is possible and I cannot wait to see what you all will build thank you and back to you Sam thank thank you Jessica so those are three great examples in addition to these there are many more kinds of gpts that people are creating and many many more that will be created soon we know that many people who want to build the GPT don't know how to code we've made it so that you can program the GPT just by having a conversation we believe that natural language is going to be a big part of how people use computers in the future and we think this is an interesting early example so I'd like to show you how to build one all right so I want to create a GPT uh that helps give Founders and developers advice when starting new projects um I'm going to go to create a GPT here and this drops me into the GPT Builder uh I worked with Founders for years at YC and still whenever I meet developers the questions I get are always about how do I you know think about a business idea can you give me some advice uh I'm going to see if I can build a GPT to help with that so to start GPT Builder asks me what I want to make and I'm going to say I want to help help startup Founders think through their business ideas and get advice after the founder has gotten some advice uh Grill them on why they are not growing faster all right so to start off I just tell the GPT a little bit about about what I want here and it's going to go off and start thinking about that and it's going to write some detailed instructions for the GPT um it's also going to let's see ask me about a name how do I feel about startup Mentor that's fine uh that's good so if I didn't like the name of course I could call it something else but it's you know going to try to have this conversation with me and start there and you can see here on uh on on the right in the preview mode that it's already starting to fill out the GPT um where it says what it does it has some like ideas of additional questions that I could ask um and you know what I actually so it just generated a candidate of course I could regenerate that or change it but I sort of like that so I will say that's great and you see now that the GPT is being built out a little bit more as we go now what I want this to do um how it can interact with users I could talk about style here but what I'm going to say uh is I am going to upload transcripts of some lectures about startups I have given please give advice based off of those all right so now uh it's going to go figure out how to do that and I would like to show you the configure tab so you can see some of the things that were built out here as we were going um by by the Builder itself and you can see that there's capabilities here that I can enable um I could add custom actions these are all fine to leave um I'm going to upload a file uh so here is a lecture that I picked that I used to that I gave with some startup advice um and I'm going to add that here in terms of these questions uh this is a dumb one the rest of those are reasonable uh and like very much things Founders often ask um I'm going to add one more thing to the instructions here which is be concise and constructive with feedback all right so if we had more time I'd show you a bunch of other things but this is uh this is like a decent start and now uh we can try it out over on this preview tab so I will say um what's a common question what are three things to look oops what are three things to look for when hiring employees at an early stage startup now it's going to look at that document I uploaded um it'll also have of course all of the background knowledge of gp4 that's pretty good those are three things that I definitely have said many times um now we could go on and it would start following the other instructions and you know Grill me on why I'm not growing faster but in the interest of time I'm going to skip that uh I'm going to publish this only to me for now uh I can work on it later I can add more content I can add a few actions that I think would be useful um and then I can share it publicly so that's what it looks like to create a g PT with thank you by the way I always I always wanted to do that after like all of the YC office hours I always thought man someday I will be able to make a bot that will do this and that'll be awesome so with gpts we're letting people easily share and discover all the fun ways that they use chat GPT with the world you can make private gpts like I just did or you can share your Creations publicly with a link for anyone to use or if you're on chat GPT Enterprise you can make gpts just for your company and later this month we're going to launch the GPT store you can list a GP thank you I appreciate that you can list a GPT there and be able to feature the best and the most popular gpts of course we'll make sure that gpts in the store follow our policies before they're accessible Revenue sharing is important to us we're going to pay people who build the most useful and the most use gpts a portion of our Revenue we're excited to foster a vibrant ecosystem with the GPT store just from what we've been building ourselves over the weekend we're confident there's going to be a lot of great stuff we're excited to share more information soon so those are gpts and we can't wait to see what you'll build but this is a developer conference and the coolest thing about this is that we're bringing the same concept to the API many of you have already been building agent-like experiences on the API for example Shopify sidekick which lets you take actions on the platform discords Clyde lets Discord moderators create custom custom personalities for and snaps my AI a customized chatbot that can be added to group chats and make recommendations these experiences are great but they have been hard to build sometimes taking months teams of dozens of Engineers there's a lot to handle to make this custom assistant experience So today we're making that a lot easier with our new assistance API the assistance API includes persistent threads so they don't have to figure out how to deal with long conversation history built-in retrieval code interpreter a working python interpreter in a sandbox environment and of course the improved function calling that we talked about earlier so we'd like to show you a demo of how this works and here is Raman our head of developer experience welcome thank you sir good morning wow it's fantastic to see you all here it's been so inspiring to see so many of you infusing AI into your apps today we're launching new modalities in the API but we also very excited to improve the developer experience for you all to build assistive agents so let's Dive Right In imagine I'm building wust a travel app for Global explorers and this is the landing page I've actually used GPT for to come up with these destination ideas and for those of you with the Keen ey these illustrations are generated programmatically using the new dly 3 API available to all of you today so it's pretty remarkable but let's enhance this app by adding a very simple assistant to it this is the screen we're going to come back to it in a second first I'm going to switch over to the new assistant playground creating an assistant is easy you just give it a name some initial instructions a model in this case I'll pick gp4 turbo and here I'll also go ahead and select some tools I'll turn on code interpreter and retrieval and save and that's it our assistant is ready to go next I can integrate with two New Primitives of this assistant CPI threads and messages let's take a quick look at the code the process here is very simple for each new user I will create a new thread and as these users engage with their assistant I will add their messages to the threads very simple and then I can simply run the assistant at any time to stream the responses back to the app so we can return to the app and try that in action if I say hey let's go to Paris all right that's it with just a few lines of code users can now have a very specialized assistant right inside the app and I'd like to highlight one of my favorite features here function calling if you have not used it yet function calling is really powerful and as Sam mentioned we're taking it a step further today it now guarantees the Json output with no added latency and you can invoke multiple functions at once for the first time so here if I carry on and say hey what are the top 10 things to do when I have the assistant respond to that again and here what's interesting is that the assistant knows about functions including those to annotate the map that you see on the right and so now all of these pins are dropping in real time here yeah it's pretty cool and that integration allows our natural language interface to interact fluidly with components and features of our app and it truly showcases now the harmony you can build between Ai and UI where the assistant is actually taking action but next next let's talk retrieval and retrieval is about giving our assistant more knowledge Beyond these immediate user messages in fact I got inspired and I already booked my tickets to uh to Paris so I'm just going to drag and drop here this PDF while it's uploading I can just sneak peek uh at it very typical United flight ticket and behind the scene here what's happening is that retrieval is reading these files and boom the information about this PDF appeared on the screen and this is of course a very tiny PDF but assistants can pass long form documents from extensive text to intricate product specs depending on what you're building in fact I also booked an Airbnb so I'm just going to drag that over to the conversation as well and by the way we've heard from so many of you developers how hard that is to build yourself you typically need to compute your un biddings you need to set up chunking algorithm now all of that is taken care of and there's more than retrieval with every API call you usually need to resend the entire conversation history which means you know setting up a key value store that means like handling the context window serializing messages and so forth that complexity now completely goes away with this new stateful API but just because AI is managing this API does not mean it's a blackbox in fact you can see the steps that the tools are taking right inside your developer dashboard so here if I go ahead and click on threads this is the thread thread I believe we're currently working on and see like these are all the steps including the functions being called with the right parameters and the the PDFs I've just uploaded but let's move on to a new capability that many of you have been requesting for a while code interpreter is now available today in the API as well that gives the AI the ability to write and execute code on the fly but even generate files so let's see that in action if I say here hey will be four friends staying at DC rbnb what's my share of it plus my flights all right now here what's happening is that code interpreter noticed that it should write some code to answer this query so now it's Computing you know the number of days in Paris number of friends it's also doing some exchange rate calculation behind the scene to get get this answer for us not the most complex math but you get the picture imagine you're building a very complex like finance app that's crunching countless numbers plotting charts so really any task that you'd normally tackle with code then code interpreter will work great for you all right I think my trip to Paris is soled so to recap here we've just seen how you can quickly create an assistant that manages state for your user conversations leverages external tools like know leg and retrieval and code interpreter and finally invokes your own functions to make things happen but there's one more thing I wanted to show you to kind of really open up the possibilities using function calling combined with our new modalities that we're launching today while working on dev day I built a small custom assistant that knows everything about this event but instead of having a chat interface while running around all day today I thought why not use voice instead so let's bring my phone up on screen screen here so you can see it on the right awesome so on the right you can see a very simple Swift app that takes microphone input and on the left I'm actually going to bring up my terminal log so you can see what's happening behind the scenes so let's give it a shot hey there I'm on the keynote stage right now can you greet our attendees here at Dev day hey everyone welcome to devday it's awesome to have you all here let's make it an incredible day isn't that impressive you have six unique and Rich voices to choose from in the API each speaking multiple languages so you can really find the perfect fit for your app and on my laptop here on the left you can see the logs of what's Happening behind the scenes too so I'm using whisper to convert The Voice inputs into text and assistant with gp4 turbo and finally the new TTS API to make it speak but thanks to function calling things get even more interesting when the assistant can connect to the internet and take real actions for users so let's do something even more exciting here uh together how about this hey assistant can you randomly select five de day attendees here and give them $500 in open eye credits yes checking the list of attendees done I picked five devday attendees and added $500 of API credits to their account congrats to Christine M Jonathan C Steven G Lis K and surj S all right if you recognize yourself awesome congrats um and that's it a quick overview today of the new assistant CPI combined with some of the new tools and modalities that we launched all starting with the Simplicity of a rich text or voice conversation for your and users we we really can't wait to see what you build and congrats to our lucky winners actually you know what you're all part of this amazing oppon Community here so I'm just gonna talk to my assistant one last time before I step off the stage hey assistant can you actually give everyone here uh in the audience $500 in open credits sounds great let me go through everyone all right that that function will keep running but I've run out of time so thank you so much everyone have a great day back to you [Applause] Sam pretty cool [Applause] huh all right so that assistance API goes into beta today and we are super excited to see what you all do with it anybody can enable it over time gpts and assistance are precursors to agents are going to be able to do much much more they'll gradually be able to plan and to perform more complex actions on your behalf as I mentioned before we really believe in the importance of gradual iterative deployment we believe it's important for people to start building with and using these agents now to get a feel for what the world is going to be like as they become more capable and as we've always always done will continue to update our systems based off of your feedback so we're super excited that we got to share all of this with you today we introduced gpts custom versions of chat GPT that combine instructions extended knowledge and actions we launched the assistance API to make it easier to build assisted experiences with your own apps these are our first steps towards AI agents and we'll be increasing their capabilities over time we introduced a new gp4 turbo model that delivers improved function calling knowledge lowered pricing new modalities and more and we're deepening our partnership with Microsoft in closing I wanted to take a minute to thank the team that creates all of this openai has got remarkable Talent density but still it takes a huge amount of hard work and coordination to make all of this happen I truly believe that I've got the best colleagues in the world I feel incredibly grateful to get to work with them we do all of this because we believe that AI is going to be a technological and societal Revolution it will change the world in many ways and we're happy to get to work on something that will Empower all of you to build so much for all of us we talked about earlier how if you give people better tools they can change the world we believe that AI will be about individual empowerment and agency at a scale that we've never seen before and that will Elevate Humanity to a scale that we've never seen before either we'll be able to do more to create more and to have more as intelligence gets integrated everywhere we will all have superpowers on demand we're excited to see what you all will do with this technology and to discover the new future that we're all going to architect together we hope that you'll come back next year what we launch today is going to look very quaint relative to what we're busy creating for you now thank you for all that you do thank you for coming here today [Music] ah