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Generative AI: A Creative New World | Sequoia Capital US/Europe

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A powerful new class of large language models is making it possible for machines to write, code, draw and create with credible and sometimes superhuman results. Humans are good at analyzing things. Machines are even better. Machines can analyze a set of data and find patterns in it for a multitude of use cases, whether it’s fraud or spam detection, forecasting the ETA of your delivery or predicting which TikTok video to show you next. They are getting smarter at these tasks. This is called “Analytical AI,” or traditional AI. But humans are not only good at analyzing things—we are also good at creating. We write poetry, design products, make games and crank out code. Up until recently, machines had no chance of competing with humans at creative work—they were relegated to analysis and rote cognitive labor. But machines are just starting to get good at creating sensical and beautiful things. This new category is called “Generative AI,” meaning the machine is generating something new rath

Generative AI: A Creative New World By Sonya Huang , Pat Grady and GPT-3 Published September 19, 2022 A powerful new class of large language models is making it possible for machines to write, code, draw and create with credible and sometimes superhuman results. Humans are good at analyzing things. Machines are even better. Machines can analyze a set of data and find patterns in it for a multitude of use cases, whether it’s fraud or spam detection, forecasting the ETA of your delivery or predicting which TikTok video to show you next. They are getting smarter at these tasks. This is called “An

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