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This video explores 20 emerging technologies and their future. Watch this next video about the 10 stages of AI: • The 10 Stages of Artificial Intelligence.
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AI startup OpenAI has unveiled a text-to-video model, called Sora, which could raise the bar for what’s possible in generative AI.

Like Google’s text-to-video tool Lumiere, Sora’s availability is limited. Unlike Lumiere, Sora can generate videos up to 1 minute long.

Text-to-video has become the latest arms race in generative AI as OpenAI, Google, Microsoft and more look beyond text and image generation and seek to cement their position in a sector projected to reach $1.3 trillion in revenue by 2032 — and to win over consumers who’ve been intrigued by generative AI since ChatGPT arrived a little more than a year ago.

OpenAI on Thursday announced Sora, a brand new model that generates high-definition videos up to one minute in length from text prompts. Sora, which means “sky” in Japanese, won’t be available to the general public any time soon. Instead, OpenAI is making it available to a small group of academics and researchers who will assess harm and its potential for misuse.

“Sora is able to generate complex scenes with multiple characters, specific types of motion, and accurate details of the subject and background,” the company said on its website. “The model understands not only what the user has asked for in the prompt, but also how those things exist in the physical world.”

One of the videos generated by Sora that OpenAI shared on its website shows a couple walking through a snowy Tokyo city as cherry blossom petals and snowflakes blow around them.

When Lex Friedman visited our MIT AI Venture Studio class to talk about the future of AI, we got into some pretty interesting ideas about the near future.

At the top of Lex’s comments, he talked about disruption – predicting that two new trillion-dollar companies will emerge out of the AI era, and suggesting that Google, Meta and Microsoft will likely not be able to pivot quickly enough to maintain their dominance.

In terms of where we might see this innovation, one of his focus points was on language. Lex pointed out that in America, we take it for granted that everyone speaks English – but around the world, there is an enormous market for real, precise speech translation. People, he said, speak many languages in an “intimate” way – and that requires precision on the part of the technology.