Philosophy Mondays: Human-AI Collaboration
Today's Philosophy Monday is an important interlude. I want to reveal that I have not been writing the posts in this series entirely by myself. Instead I have been working with Claude, not just for the graphic illustrations, but also for the text. My method has been to write a rough draft and then ask Claude for improvement suggestions. I will expand this collaboration to other intelligences going forward, including open source models such as Llama and DeepSeek. I will also explore other moda...

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Philosophy Mondays: Human-AI Collaboration
Today's Philosophy Monday is an important interlude. I want to reveal that I have not been writing the posts in this series entirely by myself. Instead I have been working with Claude, not just for the graphic illustrations, but also for the text. My method has been to write a rough draft and then ask Claude for improvement suggestions. I will expand this collaboration to other intelligences going forward, including open source models such as Llama and DeepSeek. I will also explore other moda...

Intent-based Collaboration Environments
AI Native IDEs for Code, Engineering, Science
Web3/Crypto: Why Bother?
One thing that keeps surprising me is how quite a few people see absolutely nothing redeeming in web3 (née crypto). Maybe this is their genuine belief. Maybe it is a reaction to the extreme boosterism of some proponents who present web3 as bringing about a libertarian nirvana. From early on I have tried to provide a more rounded perspective, pointing to both the good and the bad that can come from it as in my talks at the Blockstack Summits. Today, however, I want to attempt to provide a coge...
Web3/Crypto: Why Bother?
One thing that keeps surprising me is how quite a few people see absolutely nothing redeeming in web3 (née crypto). Maybe this is their genuine belief. Maybe it is a reaction to the extreme boosterism of some proponents who present web3 as bringing about a libertarian nirvana. From early on I have tried to provide a more rounded perspective, pointing to both the good and the bad that can come from it as in my talks at the Blockstack Summits. Today, however, I want to attempt to provide a coge...
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Google just acquired DNNresearch, a spinoff company from the University of Toronto led by Geoffrey Hinton. The DNN in the company name stands for deep neural networks. As I have been learning from Professor Hinton’s online course, these are networks with multiple “hidden” layers of neurons. A hidden layer sits between an input and output layer. Hidden layers are responsible for much of the power of modern neural networks and the breakthroughs that have occurred are how to train these hidden layers (something that our brain does magnificently well).
I can highly recommend Hinton’s class. Even if you just watch the first couple of lectures to learn more about the recent advances in neural networks. Hinton has had an unwavering commitment to researching neural networks even at a time when it wasn’t popular. With all the hoopla surrounding neural networks these days its easy to forget that there was a long period where neural network researchers labored in relative obscurity (fun aside: in looking up Hinton, I discovered that he is the great-great-grandson of George Boole).
Google just acquired DNNresearch, a spinoff company from the University of Toronto led by Geoffrey Hinton. The DNN in the company name stands for deep neural networks. As I have been learning from Professor Hinton’s online course, these are networks with multiple “hidden” layers of neurons. A hidden layer sits between an input and output layer. Hidden layers are responsible for much of the power of modern neural networks and the breakthroughs that have occurred are how to train these hidden layers (something that our brain does magnificently well).
I can highly recommend Hinton’s class. Even if you just watch the first couple of lectures to learn more about the recent advances in neural networks. Hinton has had an unwavering commitment to researching neural networks even at a time when it wasn’t popular. With all the hoopla surrounding neural networks these days its easy to forget that there was a long period where neural network researchers labored in relative obscurity (fun aside: in looking up Hinton, I discovered that he is the great-great-grandson of George Boole).
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