Over the last decade, artificial intelligence has been a relentless source of business innovation. Now its influence is about to expand dramatically. Once a staple of science fiction, AI has quietly forged a critical role in some of the most ordinary yet essential business tasks. Automation of business processes; data analysis; defect detection in manufacturing; basic interactions with customers — all are an embedded part of modern business and increasingly enabled by AI.
Where, then, does AI go from here? Even as the pandemic helped accelerate the shift to cloud computing and remote work, there has also been a burst of innovation in readying AI for its next stage. Many computer scientists, economists, and investors believe that we are at the threshold of enormous leaps forward in artificial intelligence and machine learning – with implications for both entrepreneurs and businesses.
GPT-3 AS A PARADIGM SHIFT
Most applications of AI today tend to involve “training” computers to pattern match images and data so that they can “recognize” new examples of them in different settings. Showing a computer hundreds of images of, say, red traffic lights or potatoes, allows computer scientists to create applications that recognize these things and, where necessary, act on them. This kind of artificial intelligence is now widely deployed and we now take it for granted.
The next significant step for AI emerged during the worst months of Covid-19 with the launch of OpenAI’s GPT-3 which uses Transformer AI models to enable a computer to not only recognize images and patterns, but actually generate language, text, and images on its own.
“This is a paradigm shift,” says Mustafa Suleyman, CEO at Inflection.ai and one of my partners at Greylock. Mustafa previously co-founded DeepMind, acquired by Google. “To date deep learning has mostly been used for classification tasks. These new AI models are capable of generating entirely new high quality content.
Continue reading: https://www.forbes.com/sites/asheemchandna/2022/05/31/where-does-ai-go-next/?sh=4d3accb7e633
Where, then, does AI go from here? Even as the pandemic helped accelerate the shift to cloud computing and remote work, there has also been a burst of innovation in readying AI for its next stage. Many computer scientists, economists, and investors believe that we are at the threshold of enormous leaps forward in artificial intelligence and machine learning – with implications for both entrepreneurs and businesses.
GPT-3 AS A PARADIGM SHIFT
Most applications of AI today tend to involve “training” computers to pattern match images and data so that they can “recognize” new examples of them in different settings. Showing a computer hundreds of images of, say, red traffic lights or potatoes, allows computer scientists to create applications that recognize these things and, where necessary, act on them. This kind of artificial intelligence is now widely deployed and we now take it for granted.
The next significant step for AI emerged during the worst months of Covid-19 with the launch of OpenAI’s GPT-3 which uses Transformer AI models to enable a computer to not only recognize images and patterns, but actually generate language, text, and images on its own.
“This is a paradigm shift,” says Mustafa Suleyman, CEO at Inflection.ai and one of my partners at Greylock. Mustafa previously co-founded DeepMind, acquired by Google. “To date deep learning has mostly been used for classification tasks. These new AI models are capable of generating entirely new high quality content.
Continue reading: https://www.forbes.com/sites/asheemchandna/2022/05/31/where-does-ai-go-next/?sh=4d3accb7e633
