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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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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So the decade plus old dryer in our basement that had been making funny noises for the last year finally broke. With 6 people in our household (3 kids and 1 Au Pair) we need an immediate replacement. No big deal, I thought - I will just do a bit of online research. Well two hours later I am none the wiser. I have settled on a model but with an awfully low degree of confidence. I started by going to consumerreports.com. Even though they had a fairly recently updated set of ratings several of the rated models were no longer available. On some of the models there were stark differences between the official research results and the reviews provided by consumers. Then I started to look at various e-commerce sites. Model ratings were very spread out - a few here, a few there - and usually about 4 clicks into the site making it very tedious to compare. There is a lot of data out there but no information. What could be done? Somebody needs to aggregate formal reviews and blog sentiment in an intelligent manner. In particular what is needed are higher level views of particular brands. For instance how is GE versus LG for dryers? How has that changed over time? Hopefully someone will crack that nut before our washer breaks.
So the decade plus old dryer in our basement that had been making funny noises for the last year finally broke. With 6 people in our household (3 kids and 1 Au Pair) we need an immediate replacement. No big deal, I thought - I will just do a bit of online research. Well two hours later I am none the wiser. I have settled on a model but with an awfully low degree of confidence. I started by going to consumerreports.com. Even though they had a fairly recently updated set of ratings several of the rated models were no longer available. On some of the models there were stark differences between the official research results and the reviews provided by consumers. Then I started to look at various e-commerce sites. Model ratings were very spread out - a few here, a few there - and usually about 4 clicks into the site making it very tedious to compare. There is a lot of data out there but no information. What could be done? Somebody needs to aggregate formal reviews and blog sentiment in an intelligent manner. In particular what is needed are higher level views of particular brands. For instance how is GE versus LG for dryers? How has that changed over time? Hopefully someone will crack that nut before our washer breaks.
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