Based on this YouTube video's total view count of 183 views and industry-standard rates, the estimated total earning is $0 - $0 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Literally Everything About How Artificial Intelligence Works Explained Slowly (For Sleep) with 183 views, 1 likes, and 1 comments. Experience the impact of this video content that has captured audience attention.

Subscribe to the channel: https://www.youtube.com/channel/UChyW8sz40E59vyHicHdCjBg?sub_confirmation=1 What does it actually mean for a machine to think, and how does a pile of switches and numbers end up writing sentences and recognizing faces? Let's find out slowly, one gentle step at a time. This long, calm explanation walks through how artificial intelligence works, from the very beginning to the present day. We start with what intelligence and computation mean, with al-Khwarizmi and the word algorithm, Alan Turing and his imaginary tape machine, bits and bytes, and the way words, pictures and sound become numbers. Then we visit the Dartmouth workshop of 1956 and the early dreams of thinking machines, the winters of disappointment, expert systems and the quiet progress between them. From there we look at how machines learn from examples, how neural networks work layer by layer, the deep learning revolution, language, attention and the transformer, how large language models are built, how machines handle pictures, sound and other senses, and finally the limits, the questions of safety and the road ahead. A slow, calm journey through the ideas, people and machines behind artificial intelligence, made to help you relax and drift off to sleep. Chapters: 0:00 What Intelligence and Computation Mean 12:42 Early Dreams and the First Thinking Machines 23:20 Winters, Experts and Quiet Progress 34:27 How Machines Learn from Examples 47:08 Neural Networks, Layer by Layer 1:00:44 The Deep Learning Revolution 1:14:50 Language, Attention and the Transformer 1:27:51 How Large Language Models Are Built 1:39:14 Pictures, Sound and Other Senses 1:52:14 Limits, Safety and the Road Ahead Sources: Artificial intelligence - Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence History of artificial intelligence - Wikipedia: https://en.wikipedia.org/wiki/History_of_artificial_intelligence Turing machine - Wikipedia: https://en.wikipedia.org/wiki/Turing_machine Dartmouth workshop - Wikipedia: https://en.wikipedia.org/wiki/Dartmouth_workshop Neural network (machine learning) - Wikipedia: https://en.wikipedia.org/wiki/Neural_network_(machine_learning) Transformer (deep learning architecture) - Wikipedia: https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) Large language model - Wikipedia: https://en.wikipedia.org/wiki/Large_language_model You can write to me at: [email protected] Disclaimer: The content on this channel represents my personal opinions based on my passion for technology, independent research, and hands-on experience with the products discussed. While all facts and information are carefully checked before publishing, oversights or errors can still happen. This content is for informational and educational purposes only and does not constitute professional advice or guidance of any kind. If you are considering making decisions or taking action based on this content, please always consult a qualified professional or expert in the field.

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.