Meta Launches ‘Human-Like’ AI For Generating Images

Meta Launches 'Human-Like' AI For Generating Images

“Meta Unveils AI Capable of Creating Lifelike Images”

Meta Shows Off AI That Can Make Pictures Look Real Meta Platforms (META.O), the company that owns Facebook, Whatsapp and Instagram, has revealed a new AI called I-JEPA, designed to help improve how images are made.

Meta Platforms, including Facebook and Instagram, have announced a new artificial intelligence (AI) model. This high-tech AI is expected to change how we look at and make images.

It all happened when CEO Mark Zuckerberg unexpectedly decided to release the AI language model under an open-source licence in February, giving the general public free and open access to the underlying technology. 

Additionally, the new I-JEPA model will be made available as open source.

I-JEPA, Meta’s new AI, can make images look more complete by filling in missing parts. Meta hopes this groundbreaking tool can change how computers see and understand images, which can be used in many ways.

Now, Let’s Take a Closer Look! 

I-JEPA, the new AI from Meta, uses advanced AI techniques to carefully and accurately fill missing parts of images. This differs from traditional methods and results in good images with no mistakes.

While other image-making tools like Midjourney can create almost real-looking images from scratch, they sometimes make mistakes. However, Meta’s I-JEPA works more like a human and is now available.

Additionally, compared to similar tools, I-JEPA from Meta is much better at looking at and finishing incomplete images, making it better than its rivals.

What's More in The Bucket? 

What’s More in The Bucket? 

At first, this powerful technology may be used by people who are experts in AI image-making. But soon, we might see AI-related features on Meta’s platforms, like Instagram.

Unlike typical AI models that rely heavily on nearby pixels, I-JEPA uses “a reservoir of universal knowledge.” This big change matches the ideas of Yann LeCun, Meta’s top AI scientist, who wants AI systems to think more like humans.

Meta, who created Facebook and Instagram, supports open-source AI research. CEO Mark Zuckerberg praises working together, developing new ideas, and reducing costs by sharing models and research.

However, there are worries about the risks of AI, and Meta’s leaders are confident in their safety measures. They stress the need to include safety checks in AI systems, promoting the safe design and use of AI technologies.

Meta is planning to include this AI in products for regular people. Ads can now easily make image backgrounds, and Instagram can change user photos based on text prompts. It’s a new era for creating digital content!

Unveiling the I-JEPA: An AI more like a human, just like Yann LeCun wanted. Last year, Yann LeCun, the head of AI at Meta, suggested a new structure to solve the big problems of current AI systems. 

His big idea is to make machines that can understand how the world works, which can speed up learning, help perform complex tasks, and adapt to new situations easily.

However, the new I-JEPA shows it can think more like a human, accurately filling in missing parts of images. With this advanced technology, Meta is ready to change how computers see and understand images, opening up many possibilities for many applications.

For example: I-JEPA has been enhanced to recognize core regions rather than pixel-by-pixel analysis of a person’s image, leading to the conclusion that a person has been shown who should also only have five fingers on one hand.

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What is a meta AI image model?

Meta’s AI image model embraces the human-like model advocated by renowned AI scientist Yann LeCun, contributing to improved accuracy in AI-generated images.

Who can access Meta’s newly launched AI model?

The technology is initially expected to be used primarily by specialists, and developers worldwide can access and use the code to create AI models.

Did Meta release an image creation model?

Yes, Meta releases an image creation model. The model, I-JEPA, uses background knowledge about the world to fill in missing pieces of images.

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