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Plus, AI No Longer Stumbles in the Dark

AI Can Now Generate Defamation and Lies as Accurately as Humans

A new study has found that AI can now generate text that is as defamatory and misleading as text written by humans. The study, conducted by researchers at the University of Washington, used a dataset of over 100,000 defamatory and misleading statements to train an AI model. The model then generated new statements that were indistinguishable from the real ones. The study’s findings raise concerns about AI’s potential to spread misinformation and harm people’s reputations.

AI Could Replace Movie Extras in the Future

As the technology of AI continues to advance, it is becoming increasingly possible for AI to be used to replace human actors in movies and TV shows. For example, a recent study by the University of Southern California found that AI can now be used to create realistic body scans of humans that can then be used to generate digital actors. This technology could be used to create entire movies and TV shows without any human actors.

AI Can Now See in Pitch Darkness

A new type of AI that can see in pitch darkness has been developed. The AI, developed by researchers at MIT, uses thermal imaging to create images of objects in the dark. The AI is still in its early stages of development, but it has already been shown to be able to see objects that are invisible to the human eye. The AI could be used in various applications, such as search and rescue operations and military operations.

AI Can Now Create Realistic Audio from Text

A new open-source AI project called Audiocraft can create realistic audio from text. The project uses a neural network to generate audio that matches the text description. Audiocraft can create various sounds, including animal noises, musical instruments, and human voices. The project is still in its early stages of development, but it has already been used to create some impressive audio clips.

MIT’s Liquid Neural Networks Could Solve AI Problems from Robotics to Self-Driving Cars

MIT researchers have developed a new type of AI called liquid neural networks. Liquid neural networks can learn and adapt in real-time, making them well-suited for solving complex reasoning problems. Liquid neural networks have already been used to solve various problems, including robotics, self-driving cars, and medical diagnosis.

Google AI Search Can Now Generate Generative Experience Videos

Google AI Search has been updated with a new feature that can generate generative experience videos. These videos are created by combining text descriptions with images and videos. The videos can provide a more immersive and interactive experience for users. For example, a user could search for “how to play the guitar,” and Google AI Search would generate a video that shows a person playing the guitar.

AI Has Already Surpassed Human Capabilities in Several Domains; which Jobs Are Next?

AI has already surpassed human capabilities in several domains, including image recognition, natural language processing, and game playing. AI will likely surpass human capabilities in even more domains as it develops. This could lead to the displacement of many jobs as AI can perform tasks that humans currently do. Some jobs most at risk of being replaced by AI include customer service representatives, factory workers, and truck drivers.


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