Microsoft Invests in and Partners with OpenAI to Support Building Beneficial AGI
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This 2019 announcement marks Microsoft's $1 billion investment in OpenAI and their exclusive cloud partnership, a pivotal moment in AI development that shaped the trajectory of large-scale AI capabilities and the commercialization of AGI-focused research.
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Summary
In July 2019, OpenAI announced a $1 billion investment from Microsoft and an exclusive cloud partnership using Microsoft Azure to develop AGI. The partnership involves jointly developing AI supercomputing technologies, with Microsoft becoming OpenAI's preferred commercialization partner for pre-AGI technologies. OpenAI frames AGI as potentially the most transformative technology in human history, aimed at solving global challenges.
Key Points
- •Microsoft invested $1 billion in OpenAI and became its exclusive cloud provider via Microsoft Azure.
- •The partnership aims to develop hardware and software platforms scaled to support AGI development.
- •OpenAI describes AGI as a system capable of mastering fields to world-expert level, surpassing any single human.
- •OpenAI plans to license pre-AGI technologies commercially, with Microsoft as preferred partner, to fund continued research.
- •The announcement reflects OpenAI's shift toward a 'capped-profit' model to sustain capital-intensive AI research.
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July 22, 2019
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Microsoft invests in and partners with OpenAI to support us building beneficial AGI
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Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely distributed economic benefits. We’re partnering to develop a hardware and software platform within Microsoft Azure which will scale to AGI. We’ll jointly develop new Azure AI supercomputing technologies, and Microsoft will become our exclusive cloud provider—so we’ll be working hard together to further extend Microsoft Azure’s capabilities in large-scale AI systems.
Each year since 2012, the world has seen a new step function advance in AI capabilities. Though these advances are across very different fields like vision(opens in a new window) (2012), simple video games(opens in a new window) (2013), machine translation(opens in a new window) (2014), complex board games(opens in a new window) (2015), speech synthesis(opens in a new window) (2016), image generation(opens in a new window) (2017), robotic control (2018), and writing text (2019), they are all powered by the same approach: innovative applications of deep neural networks coupled with increasing computational power. But still, AI system building today involves a lot of manual engineering for each well-defined task.
In contrast, an AGI will be a system capable of mastering a field of study to the world-expert level, and mastering more fields than any one human—like a tool which combines the skills of Curie, Turing, and Bach. An AGI working on a problem would be able to see connections across disciplines that no human could. We want AGI to work with people to solve currently intractable multi-disciplinary problems, including global challenges such as climate change, afforda
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