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Text-to-image AI systems such as DALL-E 2, Imagen and Midjourney are growing in popularity and capability right now, offering creators a revolutionary new way to produce content.

Generating images from text prompts is a radical new approach to art-making and creative expression. But it also gives us the first glimpse of a fundamental shift in how we can better communicate and collaborate with our machines. And it is this underlying innovation in human-computer interaction that will disrupt the near-future possibilities for how we are able to work and play.

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Many observers were disappointed with the recent demo of the AI-enabled “Optimus” robot at Tesla’s AI Day. One reviewer cleverly titled his article “Sub-Optimus.” However, these views actually miss the point. Whatever else may be said of Elon Musk, he is a genius at sensing timing and opportunity, applying technology and providing the necessary resources.

The quality and enthusiasm of the engineering team suggest Optimus could succeed, even if it takes longer than the estimate of 3 to 5 years for full production. If successful, Optimus could bring personal robots into the mainstream within a decade.

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Synthetic data will be a huge industry in five to 10 years. For instance, Gartner estimates that by 2024, 60% of data for AI applications will be synthetic. This type of data and the tools used to create it have significant untapped investment potential. Here’s why.

We are effectively on the cusp of a revolution in how machine learning (ML) and artificial intelligence (AI) can grow and have even more applications across sectors and industries.