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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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...
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...
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Last week I had the pleasure of teaching my first Skillshare class. The subject was “Bayesian Probability and a Theory of Life” and is one I am very passionate about. I hope that I was able to convey some of that passion but I can say for sure that I learned a lot:
First, the saying that “you don’t understand something until you have taught it a dozen or more times” is definitely true. In preparing for my class and teaching it, I realized that my own grasp of some of the concepts was not as good as it should be and even teaching one time helped deepen that understanding.
Second, it is easy to try to cram way too much material into 90 minutes and I am definitely guilty of that. I will have to figure out what to cut or how to split this up into two different classes, one of which might be an “Intro to Probability.” Alternatively, I might provide this as pre-reading material so that everyone is familiar with basic terminology and notation. Since I was intent on getting through what I had prepared, I did not leave enough time for questions or discussion.
Third, I should have had some links for further reading available to distribute at the end of the class. I am pretty sure that I managed to get at least some of the attendees interested in learning more (which is what I would consider a huge success) but I did not have a resource ready to send them to. Sadly, I am still remiss on this point as I got promptly swamped with work.
Fourth, attendance at lunch time was strong. I had made 15 spaces available which all sold and 12 people showed up (for a 20% no-show rate). Also: I got wonderfully constructive feedback from several of the people who attended.
Many thanks to everyone who came! The proceeds were donated to Fred & Joanne’s 50 for 50 Donors Choose campaign. I look forward to teaching this class again in the fall.

Last week I had the pleasure of teaching my first Skillshare class. The subject was “Bayesian Probability and a Theory of Life” and is one I am very passionate about. I hope that I was able to convey some of that passion but I can say for sure that I learned a lot:
First, the saying that “you don’t understand something until you have taught it a dozen or more times” is definitely true. In preparing for my class and teaching it, I realized that my own grasp of some of the concepts was not as good as it should be and even teaching one time helped deepen that understanding.
Second, it is easy to try to cram way too much material into 90 minutes and I am definitely guilty of that. I will have to figure out what to cut or how to split this up into two different classes, one of which might be an “Intro to Probability.” Alternatively, I might provide this as pre-reading material so that everyone is familiar with basic terminology and notation. Since I was intent on getting through what I had prepared, I did not leave enough time for questions or discussion.
Third, I should have had some links for further reading available to distribute at the end of the class. I am pretty sure that I managed to get at least some of the attendees interested in learning more (which is what I would consider a huge success) but I did not have a resource ready to send them to. Sadly, I am still remiss on this point as I got promptly swamped with work.
Fourth, attendance at lunch time was strong. I had made 15 spaces available which all sold and 12 people showed up (for a 20% no-show rate). Also: I got wonderfully constructive feedback from several of the people who attended.
Many thanks to everyone who came! The proceeds were donated to Fred & Joanne’s 50 for 50 Donors Choose campaign. I look forward to teaching this class again in the fall.

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