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...
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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Share Dialog
Share Dialog
I am super excited about today and woke up in advance of my alarm clock. Why? Because today is the first day of class for the second year of the NYU Stern Course I am co-teaching with Arun Sundararajan (btw, if you are interested in the sharing economy, I highly recommend Arun’s book). I love teaching, which is the reason I originally pursued a PhD.
The title of our course is “Tech and the City” (yes, pun on a “long ago” HBO show – we didn’t pick it, sort of a bit like writing a column and having the editor pick the headline). The subtitle though is more informative “Customer-Centric Digital Entrepreneurship in NYC” – the class is experiential, i.e. teams work with NYC startup – and focuses on understanding and improving customer experience through both quantitative and qualitative methods.
The key message from the class is that you need to combine both modes of analysis: quantitative *and* qualitative. The best companies have both outstanding data and analysis capabilities, but they also know how to observe and listen to customers. I describe it as standing on two legs.
This year I will blog a bit as the course goes along so that others can see what we cover. This will be somewhat limited by the fact that we are working closely with startups and doing actual projects which are covered by NDAs. So the posts will be more abstract and focus on principles. Today’s class will be about value creation – I will share some thoughts on that in my next post.
I am super excited about today and woke up in advance of my alarm clock. Why? Because today is the first day of class for the second year of the NYU Stern Course I am co-teaching with Arun Sundararajan (btw, if you are interested in the sharing economy, I highly recommend Arun’s book). I love teaching, which is the reason I originally pursued a PhD.
The title of our course is “Tech and the City” (yes, pun on a “long ago” HBO show – we didn’t pick it, sort of a bit like writing a column and having the editor pick the headline). The subtitle though is more informative “Customer-Centric Digital Entrepreneurship in NYC” – the class is experiential, i.e. teams work with NYC startup – and focuses on understanding and improving customer experience through both quantitative and qualitative methods.
The key message from the class is that you need to combine both modes of analysis: quantitative *and* qualitative. The best companies have both outstanding data and analysis capabilities, but they also know how to observe and listen to customers. I describe it as standing on two legs.
This year I will blog a bit as the course goes along so that others can see what we cover. This will be somewhat limited by the fact that we are working closely with startups and doing actual projects which are covered by NDAs. So the posts will be more abstract and focus on principles. Today’s class will be about value creation – I will share some thoughts on that in my next post.
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