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What's wrong with India?! 🧒🏽6-year-old kids are learning AI Coding & Machine Learning! 🤖 🇨🇳 If this was a Chinese kid, 1 BILLION views in an hour! 🇮🇳 But since it's India… silence. Elon's X won't make this viral.
330,953 views • 1 year ago •via X (Twitter)
11 Comments
Translation - Shocked Parents: You are learning, AI, YT, ChatGPT? Wow. Do you understand all this? Kid: It’s easy, my ma'am teaches me nicely.
Meta AI researchers are fretting over the threat of Chinese AI, whose quality caught American firms, including OpenAI, by surprise.
Wrong. 6yr old cannot code. Maybe using some application. Dont tell me that we have 'teachers' who know coding well enuf to teach kids. We dont have good instructors in Engg colleges.
Hey Dhimmie, It is called putting a foundation. Why will a Pidi Dhongi IT celliya like you know about it?
Train in AI only to work in call centre or scammers anyway. This is what Indian can do with your 67 IQ on avg.
I see that the world has decided to boycott India by showing only negative just out of pure jealousy congratulations we are the best people in the world 🗿
From what I know if you want to build a foundation for *Real* Coding especially for AI for children then they must have a good enough understanding of mathematics/Computer Networking etc. These things will just create more IT coolies than a real Developer.
Stop seeking validation. Chinese never sought any validation. They did it quietly and once they become a force, the world kneel on their knees. Come out of slavery mindset
China can manufacture what America invents.
That's what factory labours do.
That’s completely racist and bullshit!! Maybe it’s just not what the world gives a shit about currently ??
![Everybody is talking about recursive self-improvement (RSI) and meta learning. Here is my old 2020 talk about this [1]. It has aged well. Example: humans still define the starts & ends of trials of many modern meta learners. My RSI systems since 1994 LEARN to (re)define them [2]! [1] Meta Learning Machines in a Single Lifelong Trial (talk for workshops at ICML 2020 and NeurIPS 2021, based on earlier talks since 1994). Abstract: the most widely used machine learning algorithms were designed by humans and thus are hindered by our cognitive biases and limitations. Can we also construct meta learning algorithms that can learn better learning algorithms so that our self-improving AIs have no limits other than those inherited from computability and physics? This question has been a main driver of my research since I wrote a thesis on it in 1987 [2]. Here I summarize our work on meta reinforcement learning with self-modifying policies in a single lifelong trial (since 1994), and mathematically optimal meta-learning through the self-referential Gödel Machine (since 2003). Many additional publications on meta-learning since 1987 can be found in the RSI overview [2]. [2] J. Schmidhuber (AI Blog, 2020-2025). 1/3 century anniversary of first publication on recursive self-improvement (RSI) and meta learning machines that learn to learn (1987). For its cover I drew a robot that bootstraps itself. 1992-: gradient descent-based neural meta learning. 1994-: meta reinforcement learning with self-modifying policies. 1997: meta RL plus artificial curiosity and intrinsic motivation. 2002-: asymptotically optimal meta learning for curriculum learning. 2003-: mathematically optimal Gödel Machine. 2020-: new stuff!](https://image.24vids.com/tw-2031397968511717584/amplify_video_thumb/2031397324404985860/img/FjgqUEEDb0gBsKbU.jpg)
