My daughter is in 2nd grade and math is her favorite subject. I liked math too. I've looked forward to helping her learn more advance math through the years, but a doubt has entered my mind; will I have any reason to help her?

This sounds like an argument from when calculators were invented. We will keep getting more powerful technologies, and you will need to understand them. What we should be learning will continue to gradually shift.

Absolutely. With mobile internet/search engines, knowing how and where to find information became a more important skill than having to memorize that information

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.

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?

Xaeon-12 wakes up at 8am, has a bowl of cereal and put's on her VR goggles. She is greeted by her tutor Tom. Tom will guide her through advanced "AI prompt" class today. Xaeon-12 learns to create her own short story based on her dreams that were recorded the night before. 12am, time for lunch. After lunch, the kids all connect to play Roblox VR for 30 mins. Suddenly, the doorbell rings, but no one else is home. Fortunately, Xaeon-12 doesn't have to answer the door, as everything is automated. The mailbot dropped off some packages, before flying back to the zeppelin mothership to retrieve the next package. Xaeon-12 is just finishing her last class, "circuit boards", when her dads come home from the golf range – with an abundance of free, renewable energy, working for a basic income has become irrelevant.

Honestly it depends on the growth rate of our models and if they converge with human intelligence without requiring have the computing power on the planet.

If we get slow incremental progress over the years then it will act like an interactive personalized encyclopedia that can teach you based on your strengths and help bolster you where you are weak, as the technology improves that is.

Now, it's still scary as hell in some ways even in this slow growth mode. The authoritarians will love to have a system like this that just forgets particular parts of history and make reports back to the mothership if you ask too many 'wrong' questions. So actual implementation will be interesting to see.

Now, if we have explosive growth to AGI and beyond, then pretty much every bet about the future is cancelled and we'll have more luck in taking random guesses, gluing them to the wall, and then throwing darts at them blindfolded.