Meta’s AI Research SuperCluster Announced: Will Help Identify “Harmful Content”

Harmful to whom exactly? Continuing to use these platforms is harmful to society where open debate is an important part of democracy and human rights. Maybe it's high time to delete your account...

Meta, formerly known as Facebook, is launching one of the world’s most powerful supercomputers called the AI Research SuperCluster (RSC). The company says it will be the fastest, most powerful computer when it’s “fully built out in mid-2022” at an undisclosed location. The social media giant changed its name to Meta in October.


One of the main reasons Meta states as “critical” for the development of the supercomputer is to “identify harmful content” on internet platforms. The MetaAI blog writes:


“To fully realize the benefits of self-supervised learning and transformer-based models, various domains, whether vision, speech, language, or for critical use cases like identifying harmful content, will require training increasingly large, complex, and adaptable models.”


Meta’s supercomputer will be capable of processing “quintillions of operations per second.” The blog explains that processing power on this scale is needed to help Meta’s AI researchers:


“Build new and better AI models that can learn from trillions of examples; work across hundreds of different languages; seamlessly analyze text, images, and video together; develop new augmented reality tools; and much more. Our researchers will be able to train the largest models needed to develop advanced AI for computer vision, NLP, speech recognition, and more.”


The supercomputer will be the backbone for Meta’s Metaverse platform with its AI-driven features and products. Speech recognition, the deep learning architecture called Transformers, Self-Supervised Learning, which is a way to build “background learning” that is so natural to human development, are just a few of the areas of development that require such a powerful computing system. Advanced processing speed is essential to advancing those AI processes and products.


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https://uncoverdc.com/2022/01/24/metas-ai-research-supercluster-announced-will-help-identify-harmful-content/