OpenAI's ChatGPT Just Got Supercharged!

YouTube explainer by Dr. Zsolnai (Two Minute Papers) summarizing OpenAI’s developer conference announcements: the introduction of GPT-4 Turbo with much larger context windows (enabling ~300-page documents), better instruction-following, deterministic seeds for consistent outputs, and an updated knowledge cutoff; Whisper v3 improvements for voice transcription; substantial cost and speed improvements; removal of the model picker and smarter browsing behavior; and the new "GPTs" platform that lets anyone build, customize, publish, and monetize specialized chatbots (with Zapier integrations and a forthcoming GPT store). The host frames the release as transformative for developers, educators, and startups and notes broad adoption indicators and historical context (InstructGPT).
Questions this video answers
Previously 8k and 32k; video claims expansion up to 128k (noted as '128,004x' in transcript).
Updated from September 2021 to 'April20' (as spoken in the video).
$500 credit for all attendees (requested during the keynote, per the video).
ChatGPT: 100 million weekly active users; 92% of Fortune 500 companies use it (per the video).
Chapters
This is an emergency video because OpenAI held their first ever developer conference. So this better be something good, right? Well, it is chock full of goodies. So hold on to your papers fellow scholars, because first, this is GPT4 Turbo. This is a version of their amazing AI that can now do three things better. And there is so much more. My goodness. First, context length has become longer from 8 to 32k to 128,004x. Okay, but what does this mean? Well, this means that we can even cram a 300 page textbook in there and then talk to the book or add internal company rules, legal information, mathematics, video game ideas and anything you wish up to about 300 pages. Now it will be able to handle all these so good. Two, it now follows instructions better. And three, we don't have to rely on random answers that change every time we ask the same thing. As they just announced seed parameters for consistent outputs. And one knowledge cutoff has been updated from September 2021 to April20. It knows about more recent things, plus a promise that it will never be so much out of date again. And all these changes are now part of ChatGPT. It is now using GPT4 Turbo. Yummy. And it gets better. Dear fellow scholars, this is two minute papers with Dr. Zsolnai. GPT now speaks in a more natural manner. When voice input came in for me, it was an immediate game changer. It is powered by Whisper. We saw in an earlier episode that it can easily take a full several hour long podcast and transcribe it nearly instantly with minimal errors. Close to as good as a human pro. And now Whisper is also on version 3 and it got even better. Wow. And check this out. This is actually insane. It is now way better and at the same time it got cheaper. In fact 2.3x cheaper than the regular GPT4. That is insane. Why is that? Well, we just noted in a previous episode that it can give you great usability tips for your already existing products. And it costs about a cent. And it will cost even less than a cent soon. And on the very day I made that video, they announced that they are making this two to three times cheaper. That is insane. Speed improvements are coming too. However, in the meantime, we already see that GPT4 Turbo is incredibly quick, much quicker than any previous version. If this is supposed to be the slowest future version of it, wow. Sign me up right now. And there is so much more coming. The annoying model picker is also gone. My early experiments seem to indicate that it will lean on its own knowledge base when it can. And it only browses the Internet for new information when necessary. Great improvement. And now it is time time for the other bombshell feature, which is not some new GPT but GPTs. Yes, that's right, GPTs. Now you can build your own chatgpt with your instructions and publish it yourself. This will lead to lesson planners for tens of millions of middle schooler users or full graphic designs from a single text prompt. Wow. And look, here is where your GPTs will live. And from here you can invoke Zapier, a system that has access to 6,000 applications and can control them. It can look at your calendar and summarize your day for you, find conflicts in your calendar and even reach out to your friend and tell them that you have some scholarly duties for today and can't go. So how hard is it to build one of these? This requires a great deal of engineering and programming knowledge, right? Well, not at all. This is in the spirit of ChatGPT and can be done by anyone through natural language. Yes, we just add the instructions for a startup helper bot. What it is for and what it should do. It gets a little identity like these video game characters from this previous paper. It also gave a name for itself and with the Dall E3 system built in, it can also create a profile picture for itself. And then it will give us some intelligent questions on how it should behave. Just think about it. A year ago it required a gigantic company to release such a chatbot and now anyone can do it. That is incredible. And now what? Well, we can upload some transcripts from previous lectures of Sam Altman and then the bot is ready for some questions. Remember, this has the knowledge of GPT4, which is an incredible body of knowledge. Plus fine tuned with the lectures and let's see. Oh yes, the answers certainly sound like Sam Altman. Now press publish. And there we go. Perhaps a two minute papers bot would also be fun to interact with. And later this year an entire GPT store will also be published. This might be the app store of AI apps. Incredible. Perhaps a historic moment in AI research. I am so happy to be able to share this moment with you fellow scholarship. And if I understood correctly, you will be able to earn money with it. So you can create your own little doggy hotline and perhaps even make a living out of it. And all this is open for all of us. At the end of the keynote there was a request through voice to give a $500 credit for all of the attendees of the conference and Then this happened. So where is all this GPT thing going? Well, consider ChatGPT has 100 million weekly active users. 92% of Fortune 500 companies already use it. It is now part of our lives. It is everywhere from paper to this in just a couple years. Insanity. Now there are also lots of recent startups that are thin wrappers, thin layers over GPT. For instance, a single programmer could build this doggy hotline with a few software tools. And now the pace of innovation is so quick that essentially you can create these wrappers through OpenAI. Just think about it. Now one more thing to consider. A paper called instructgpt appeared in 2022 January. This was perhaps a predecessor of chatgpt and of course there is a two minute papers video on that. It could do some things but nothing too crazy with today's eyes. And wow. We are approximately one and a half years later. And look at all these improvements. GPT learn to see, listen, hear and speak. GPT4 Turbo appeared Dall E3 dropped. I have to be honest with you fellow scholars, this does not feel like one and a half years to me. This feels like a decade of research to me. This was a paper not so long ago and now one and a half years later, it is absolutely everywhere. People are already using it to create an AI commentator for League of Legends matches, an online battle arena game. Or you can even chuck a paper in there and and talk to it. Wow. So here make sure to invoke the first Law of papers. The first law of Papers says that research is a process. Do not look at where we are, look at where we will be. Two more papers down the line. Now we were not the first to report on this and I hope that the additional context was worth waiting a little. And if you feel that it was, consider subscribing and hitting the bell icon. Thanks so much. 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