In this issue: ❃ How we got Deep Neural Networks and why they are so important ❃ How advances in Data Storage have been an important catalyst ❃ The role of GPUs in AI advancement
You write with amazing clarity about complex topics. Continue to teach us. I am all in. I would love to read more about GPUs. I feel like I am just beginning to understand them when you write about them.
Thank you so much! You've made my day. I'm intrigued by GPUs too. Especially when it comes to their data processing methods and how that compares to the brain's data processing methods. I've also been exploring how GPUs are manufactured recently, and the entire production is fascinating.
Excellent piece, coming from a place of deep understanding yet explained clearly enough for a neural network noob (dibs on the band name) like me to follow!
I got a lot out of this. I am currently writing something on 'free will' which is an argument against human-determinism. I have used AI as an example where the relationship between inputs and outputs are not deterministic - yet not randomised either (which I think is a dead-end that people who want to make the case for free will run into). This is fascinating and I will read everything you have published in short order. I notice in a comment response you mention your interest in GPU production. I wrote some technical documents on manufacturing of CPUs and GPUs from a resilience and reliability perspective. They are about five years old and will need updating but I think I can turn it around into an article or two. Apart from that I would very much like your critique of my forthcoming free will piece though.
Wow, just discovered this substack. Excellent, clear descriptions and explanations of the complex fundamentals underlying machine learning. The author grasps and communicates the arcane scientific principles of information theory and physics so well. What a great resource for aspiring data scientists!
You write with amazing clarity about complex topics. Continue to teach us. I am all in. I would love to read more about GPUs. I feel like I am just beginning to understand them when you write about them.
Thank you so much! You've made my day. I'm intrigued by GPUs too. Especially when it comes to their data processing methods and how that compares to the brain's data processing methods. I've also been exploring how GPUs are manufactured recently, and the entire production is fascinating.
Loved it. Keep up the great work! 🫶
Thank you! I've just discovered your work and can't wait to dive in.
Excellent piece, coming from a place of deep understanding yet explained clearly enough for a neural network noob (dibs on the band name) like me to follow!
I got a lot out of this. I am currently writing something on 'free will' which is an argument against human-determinism. I have used AI as an example where the relationship between inputs and outputs are not deterministic - yet not randomised either (which I think is a dead-end that people who want to make the case for free will run into). This is fascinating and I will read everything you have published in short order. I notice in a comment response you mention your interest in GPU production. I wrote some technical documents on manufacturing of CPUs and GPUs from a resilience and reliability perspective. They are about five years old and will need updating but I think I can turn it around into an article or two. Apart from that I would very much like your critique of my forthcoming free will piece though.
Well explained post on what enabled AI. Wonderful how concepts invented long back gain a huge leap when the right hardware for them arrives.
Thank you so much! It is, isn’t it? It’s fun to imagine what we invent now that will greatly influence future advancements.
This primer has just the right amount of simplification for the complex topics it embraces.
Priceless to anyone - even those having a technical, software, non-AI background!
Thanks so much, Nirav!
Wow, just discovered this substack. Excellent, clear descriptions and explanations of the complex fundamentals underlying machine learning. The author grasps and communicates the arcane scientific principles of information theory and physics so well. What a great resource for aspiring data scientists!
Thank you so much, Thayer! Comments like this are pure joy :)