OpenAI partners with Wharton for a new course focused on leveraging ChatGPT for teachers

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OpenAI has partnered with the University of Pennsylvania’s Wharton School to launch a new course titled “AI in Education: Leveraging ChatGPT for Teaching.” This initiative aims to empower educators to effectively integrate generative AI into their teaching practices, enhancing learning experiences.

The class is just as much about what you as a teacher can do with AI to make your life better and make you a more effective educator, a less stressed out educator, as much as it is about how do you create assignments for your students? – Ethan Mollick

Professors Lilach and Ethan Mollick, co-founders of Wharton’s generative AI lab, co-teach the course. They emphasize the program’s dual focus: assisting educators in using AI to improve their teaching efficiency and developing assignments that engage students with AI tools.

Ethan Mollick notes that while discussions about AI in education often center on concerns like cheating and plagiarism, the course aims to highlight AI’s positive transformations to pedagogy. By embracing AI, educators can create more dynamic and personalized learning environments.

This collaboration reflects a broader trend in higher education to adapt to technological advancements and prepare educators and students for the evolving landscape of AI in the classroom.



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Google unveils Veo, a high-definition AI video generator that may rival Sora

Google Veo generated images

Google introduced Veo, an AI video generator, at Google I/O 2024, capable of creating HD videos from text prompts like OpenAI’s Sora. Veo can edit videos from written instructions and generate cinematic effects, but it’s not widely available yet. Google plans to integrate Veo’s features into YouTube Shorts and other products, emphasizing responsible content creation with watermarking and safety filters.

Google says that Veo builds upon the company’s previous video-generation models, including Generative Query Network (GQN), DVD-GAN, Imagen-VideoPhenaki, WALT, VideoPoet, and Lumiere. To enhance quality and efficiency, Veo’s training data includes more detailed video captions, and it utilizes compressed “latent” video representations. To improve Veo’s video-generation quality, Google included more detailed captions for the videos used to train Veo, allowing the AI to interpret prompts more accurately.

Veo also seems notable in that it supports filmmaking commands: “When given both an input video and editing command, like adding kayaks to an aerial shot of a coastline, Veo can apply this command to the initial video and create a new, edited video,” the company says.



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