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...
>400 subscribers
>400 subscribers
Share Dialog
Share Dialog
I really enjoyed reading Peter Norvig’s short piece in the New York Post (the Post? yes, the Post!) about the age of machines. Artificial intelligence (more than games) was what first got me excited about computers and I still have a bunch of the early AI books (Patrick Winston anyone?) on my shelf. We are now actually getting AI although people seem loath to call it that because of the history of over-promise. Yet, computers are clearly doing exactly the kind of things that we had hoped decades ago they would be able to: translate texts, understand voice commands, recognize faces, answer questions, etc.
This progress is arriving in relatively mundane packages (eg voice commands on Android) but that should not obscure the immense magnitude of the progress that’s been made. Nor should the fact that computers don’t “understand” what they are doing distract from this actually being a feat of intelligence. After all, we (as conscious individuals) don’t really “understand” how we recognize faces. Yet we do it all the time and that is good enough.
I am looking forward to this week’s man vs machine Jeopardy challenge. Whether or not the machine wins tonight, I am convinced that our days as the best Jeopardy players are numbered. And I consider that a good thing. While we are at it, let’s please dispense with spelling bees also. We should focus our attention on efforts in which our trillion connection wetware has a meaningful competitive advantage and can find meaning.

I really enjoyed reading Peter Norvig’s short piece in the New York Post (the Post? yes, the Post!) about the age of machines. Artificial intelligence (more than games) was what first got me excited about computers and I still have a bunch of the early AI books (Patrick Winston anyone?) on my shelf. We are now actually getting AI although people seem loath to call it that because of the history of over-promise. Yet, computers are clearly doing exactly the kind of things that we had hoped decades ago they would be able to: translate texts, understand voice commands, recognize faces, answer questions, etc.
This progress is arriving in relatively mundane packages (eg voice commands on Android) but that should not obscure the immense magnitude of the progress that’s been made. Nor should the fact that computers don’t “understand” what they are doing distract from this actually being a feat of intelligence. After all, we (as conscious individuals) don’t really “understand” how we recognize faces. Yet we do it all the time and that is good enough.
I am looking forward to this week’s man vs machine Jeopardy challenge. Whether or not the machine wins tonight, I am convinced that our days as the best Jeopardy players are numbered. And I consider that a good thing. While we are at it, let’s please dispense with spelling bees also. We should focus our attention on efforts in which our trillion connection wetware has a meaningful competitive advantage and can find meaning.

No comments yet