[lajamerr]

AI can efficiently teach your daughter how to solve math problems, but as a human, you can provide her with the context and understanding of why and what she's learning. AI is great at handling the technical aspects, freeing us to focus on cultivating our uniquely human qualities of empathy, creativity, and critical thinking. Letting the AI teach the how and the human teach the why and what can lead to a more holistic and enriching education.

[zild3d]

I'd like to agree, but it does seem like AI is getting better rapidly at providing the context and the "why" too (as well as creativity and critical thinking)

the language models can tell you how to do a fourier transform, and then you can have a conversation about what it all means, why it's important, the discovery, etc

    [me] why are fourier transforms relevant to learn? what is the history behind them

    [bing] Fourier transforms are relevant to learn because they are used in many fields such as signal processing, physics, and engineering. They are used to convert a function from the time domain to the frequency domain, which can help to identify the frequencies present in a signal and in what proportions. The Fourier transform was first introduced by Joseph Fourier in 1822 as a way to solve the heat equation. Would you like more information on the history of Fourier transforms or its applications?