While recent research suggests Large Language Models match human creative performance in divergent thinking tasks, visual creativity remains underexplored. This study compared image generation in human participants (Visual Artists and Non Artists) and using an image generation AI model (two prompting conditions with varying human input: high for Human Inspired, low for Self Guided). Human raters (N=255) and GPT4o evaluated the creativity of the resulting images. We found a clear creativity gradient, with Visual Artists being the most creative, followed by Non Artists, then Human Inspired generative AI, and finally Self Guided generative AI. Increased human guidance strongly improved GenAI's creative output, bringing its productions close to those of Non Artists. Notably, human and AI raters also showed vastly different creativity judgment patterns. These results suggest that, in contrast to language centered tasks, GenAI models may face unique challenges in visual domains, where creativity depends on perceptual nuance and contextual sensitivity, distinctly human capacities that may not be readily transferable from language models.

Thanks to 1MM readers of this newsletter, I hope that you enjoy the latest AI news, and insights, don't miss the Web3 section at the end! Tesla's long-anticipated AI robot made its official debut by dancing and waving on stage at the company's AI Day. "The robot can actually do a lot more than we showed you. We just didn't want it to fall on its face," Elon Musk said. At last year's AI Day, Musk announced his plans for the bot by having a human in a robot costume dance onstage.

The greatest artistic tool ever built, or a harbinger of doom for entire creative industries? OpenAI's second-generation DALL-E 2 system is slowly opening up to the public, and its text-based image generation and editing abilities are awe-inspiring.

Artificial intelligence is adept at doing many things: making deepfakes, determining disaster-related damage, and virtual urban planning, just to name a few. There are also some tasks that AI hasn't picked up quite as well -- like art. AI art is downright disturbing. This case is proven perfectly by GANksy, a clever piece of AI that's been trained on the work of renowned street artist Banksy. The results of GANksy's artistic pursuits to date have been strange, to say the least.

Even now, all you have to do is Google search'AI 2017' to find headlines like these: '2017 laid the foundation for faster, smarter AI in 2018' 'All the creepy, crazy and amazing things that happened in AI in 2017' AI took the tech industry by storm. Swarm AI correctly predicted TIME's Person of the Year to be Donald Trump, AI moved into the household through the Amazon Echo and Google Home, and Google's DeepMind AlphaGo Zero conquered the 2,000-year-old board game'Go' through machine learning. If you didn't already know: AlphaGo literally recreated itself without the help of humans, using reinforcement learning to surpass the abilities of world champion Le Sedol and become the best Go player in the world. In 2018, poker bot Libratus was the first to beat 15 top human players, and American technology company Nvidia created AI that could mimic your facial features, handwriting, and voice. They created'celebrities' that don't even exist. Though it didn't impress everyone, with comments like: The iceberg that would later reveal the all-conquering and all-powerful force reckoned to control our entire lives – otherwise known as artificial intelligence.