After that, students in each group had to take a comprehension quiz on the chapter topic, plus a survey about their experience. What they found gets me excited about the future of learning.
GENERATIVE AI
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Personalized AI Podcasts Boost Student Comprehension in Education
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For philosophy and psych, the group that got personalized podcasts saw it pay off – they scored higher on comprehension quizzes than students who learned from either the non-personalized podcasts or the textbook.
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AI-Generated Podcasts Beat Textbooks for Student Learning
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Researchers took 180 US college students + divided them up:
– 60 read a textbook chapter (on philosophy, psych, or gov)
– 60 listened to an AI-gen podcast about the chapter
– 60 listened to a personalized AI-gen podcast based on (self-reported) learning style/interests/etc. -
Pretraining: The Beautiful Art of Learning to Compress Knowledge
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pretraining, the act of learning-to-compress the entirety of human knowledge and thereby creating a general-purpose model that can simulate any natural process, is really a beautiful learning paradigm. everything is just going to get messier & more complicated from here
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AI Tasks Becoming Easier Week by Week Progress
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You know how hard these things used to be just a week ago?? Lol pic.twitter.com/3jH2kX1IjY
— Pietro Schirano (@skirano) 5 juin 2025You know how hard these things used to be just a week ago?? Lol
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AI converts images to responsive designs automatically
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We went from an image to a full responsive design, also, notice how the frame automatically adjusts based on web vs. mobile creation. Only on @Magicpathai
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Touch and Vision Grounding in Artificial Intelligence
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Agreed @tdietterich that touch is part of grounding. It’s a very precise and high fidelity grounding in a highly localized way (typically within square centimeters or at best square feet scale), whereas vision is a much more expansive grounding of the world that can extend very
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CapSpeech: Guidelines for Expressive Text-to-Speech Systems
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CapSpeech provides guidelines for data construction & model design to develop prompt-guided expressive text-to-speech systems across use cases like cinematic narration, game character voiceovers, conversational chatbots, emotion therapy, & more.
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CapSpeech: AI Text-to-Speech with Controllable Voice Design
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MIT CSAIL, JHU, & USC researchers have developed "CapSpeech," a text-to-speech framework that generates voices w/controllable timbre & speaking style via text prompts.
— MIT CSAIL (@MIT_CSAIL) 5 juin 2025
Imagine designing a voice just by describing it. CapSpeech can customize age, timbre, accent, emotion, & more:… pic.twitter.com/Dw0i6JUG19MIT CSAIL, JHU, & USC researchers have developed "CapSpeech," a text-to-speech framework that generates voices w/controllable timbre & speaking style via text prompts. Imagine designing a voice just by describing it. CapSpeech can customize age, timbre, accent, emotion, & more: