They want to be better artists, but only in a way that comes from finding new depths in their own unique creative expression. They want to go deeper within themselves, to find the right words to express how they feel. Identifying the key user need - the desire for deeper self-expression - made all the difference. This allowed us to gain profound insight into users’ needs in this emerging domain. My team and I have been crafting new experiences from scratch, from the development of the generative AI models to the smallest UI/UX decisions. I’ve been tackling the commercialization of generative AI since before the popularization of large generative models.
This has been how creative AI has been used since its inception, and this is where its true potential lies. Since then, academics and technologically-savvy artists have been building systems to generate music, art and everything in between to enrich their own creative process. In fact, the original purpose of the creators of generative AI, including David Cope and Harold Cohen back in the 1980s, was precisely to enrich their own creative expression. Humans have a profound need to express themselves, and we will continue to express ourselves until the end of time.Ĭonsequently, the real opportunity in creative, generative technology is in deepening human creativity. Generative AI has better uses than destroying jobs. There are plenty of creatives who already work for (more than) reasonable fees, and competing with the quality of their work remains very challenging for autonomous AI systems. It is true that generative methods can be targeted to reduce work opportunities for creative people, helping larger corporations make a few extra bucks.īut what I argue here is that this is actually a relatively weak opportunity. What is the role of generative AI in our everyday lives? What impact will it have on humanity at large and specifically our creative expression? What do consumers actually want from creative generative AI? While OpenAI is supplying firms with versatile technology, startups are out there providing value to consumers. The impending release of DALL-E 2, a powerful text-to-image generator, will further expand opportunities for business-savvy entrepreneurs who would like to join the revolution without needing to develop their own technical IP. Some of the most popular include Copy.AI and Jasper, which focus on simplifying the writing of marketing copy, but GPT-3 is also powering stories, news articles (don’t worry, not this one!), and dialog systems, to name a few. Perhaps the single largest push in the industry came from OpenAI, with a B2B approach that shares its large, multi-purpose generative models with a wide range of startups. What is new is the long-overdue release of this technology from the ivory towers of academia and into the consumer market. The idea of using AI systems to create content is anything but new.īy the 1980s David Cope had already created EMI (Experiments in Musical Intelligence), which composed music in the style of Bach and Vivaldi, and Harold Cohen was showcasing artwork created by his system, AARON. Within 10 years, most creative content will be produced with generative technologies.
The blog you read earlier today may have been made with generative AI.
We are on the cusp of a paradigm shift brought by generative AI - but it isn’t about making creativity “quick and easy.” Maya Ackerman says generative technology opens new heights of human expression and helps creators find their authentic voices.
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