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
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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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This morning’s NY Times has a couple of interesting stories. The first is that apparently the rate for bribery in NY State and City legislatures is as low as $20K. But the one that really caught my attention was the headline titled “Crosswalks in New York are not Havens.” Having three children who walk to school in Manhattan, this is a topic very near to my heart.
The article starts out with the following quote:
Pedestrians struck by cars are most often hit while in the crosswalk, with the signal on their side.
Pretty much every morning when I walk with my kids I make a point of saying that the signal is just a hint as to when it might be safe. What they really have to do is look for the cars. In fact, because the signal is just a hint it can to some degree be dangerous because it provides a false sense of safety!
But I of course also immediately thought of this being a classic Bayesian inference problem where we need to understand so-called base rates. Even in New York where jay walking is common, I would estimate that pedestrians crossing roads either against the signal or not at the crosswalk account for only about 20% of all crossings (probably even lower in reality). So unless doing so would be massively (at least 5x) more dangerous, we should expect for more people to be injured when they are doing the right thing.
Maybe it’s time again for me to teach my Skillshare class on Bayesian Probability and a Theory of Life. The goal for the class is for anyone who has taken it to question a headline and conclusion like this one about crosswalks.
This morning’s NY Times has a couple of interesting stories. The first is that apparently the rate for bribery in NY State and City legislatures is as low as $20K. But the one that really caught my attention was the headline titled “Crosswalks in New York are not Havens.” Having three children who walk to school in Manhattan, this is a topic very near to my heart.
The article starts out with the following quote:
Pedestrians struck by cars are most often hit while in the crosswalk, with the signal on their side.
Pretty much every morning when I walk with my kids I make a point of saying that the signal is just a hint as to when it might be safe. What they really have to do is look for the cars. In fact, because the signal is just a hint it can to some degree be dangerous because it provides a false sense of safety!
But I of course also immediately thought of this being a classic Bayesian inference problem where we need to understand so-called base rates. Even in New York where jay walking is common, I would estimate that pedestrians crossing roads either against the signal or not at the crosswalk account for only about 20% of all crossings (probably even lower in reality). So unless doing so would be massively (at least 5x) more dangerous, we should expect for more people to be injured when they are doing the right thing.
Maybe it’s time again for me to teach my Skillshare class on Bayesian Probability and a Theory of Life. The goal for the class is for anyone who has taken it to question a headline and conclusion like this one about crosswalks.
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