OpenAI unveils future of AI assistants and agents at DevDay keynote - new Turbo model, GPTs launch, and vision for customizable AI

Summary

At the first OpenAI DevDay event, CEO Sam Altman made several major announcements about improvements to existing services like ChatGPT and new offerings to enable developers to build customized AI assistants. This includes a new GPT-4 Turbo model which is faster, more accurate, and cheaper; the launch of GPTs - tailored AI helpers for specific use cases; and a new Assistants API to easily integrate persistent AI agents into apps. OpenAI also talked partnerships with Microsoft, integrating more knowledge into models, and a vision for increasingly capable AI that can act as personalized agents for users.

Timestamped Highlights

๐Ÿค– OpenAI started in San Francisco and continues commitment to grow there
๐Ÿค OpenAI has seen tremendous adoption of ChatGPT and other models in the past year, with 2M developers building apps and 100M weekly active users.
๐Ÿคฏ Video showcases real-world examples of people using ChatGPT for translation, design help, math explanations, organizing tasks, and more.
๐Ÿš€ Announcing GPT-4 Turbo - improved accuracy, 3X cheaper prompt tokens and 2X cheaper completion tokens, up to 128K context length, better world knowledge, new modalities, and more developer controls like reproducible outputs.
๐Ÿคฉ ChatGPT upgraded to use new GPT-4 Turbo model improving knowledge and capabilities. Annoying model picker removed - it just works!
๐Ÿง‘โ€๐Ÿ’ป GPT Builder demo shows how anyone can create tailored GPTs by having a conversation, no coding required. Published GPTs shareable with public links.

Key Insights

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OpenAI's vision is AI assistants that can act as capable, personalized agents on your behalf OpenAI sees AI gradually progressing from single interactions towards persistent, customized assistants - or 'agents' - that can understand instructions, integrate external information, and perform ever more complex functions for individual users. Gradual deployment allows increased capabilities while addressing safety.
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New Turbo model drastically cuts costs to fuel next generation of AI applications Much lower pricing for API access combined with accuracy and knowledge improvements will greatly expand who can build using OpenAI models, allowing more innovative integrations across industries.
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Tighter integration with Microsoft underscores infrastructure needs of advanced models Unprecedented compute and specialized systems are required to develop modern AI models. Close partnerships with infrastructure providers will be key.
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Empowering human creativity is central goal of AI development OpenAI aims to build AI that enhances human agency and potential at scale. Further democratizing access allows more diverse applications that enrich lives.
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Safety considerations influence every stage of deployment Thoughtful, ethical implementation is intrinsic to OpenAI's gradual introduction of more advanced AI. Developer feedback and learnings allow ongoing improvements to guard rails.
This blog is a summary of a YouTube video "OpenAI DevDay: Opening Keynote - YouTube" by OpenAI