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...
Share Dialog
NOTE: I am continuing to post excerpts from my book World After Capital. The following is on the Knowledge Loop. Unfortunately I am dealing with a gitbook issue, so this revised text is not yet live on the book website.
Already today knowledge has made possible something extraordinary: by means of the innovations of the Industrial Age we can, in principle, meet everyone’s basic needs. But we cannot stop here. We need to generate additional knowledge to solve the problems we have introduced along the way, such as climate change. Knowledge is powerful, but only if we have enough of it. Where will that additional knowledge come from?
New knowledge does not spring forth in a vacuum. Instead it emerges from what I call the Knowledge Loop. In the Knowledge Loop, someone starts out by learning something, then uses that to create something new, which is then shared which in turn is the basis for more learning. And so on.

The Knowledge Loop is not new. Given my definition of knowledge, it has been around since humans first developed written language, some five thousand years ago. Before that humans were able to use spoken language, but as I have noted previously that puts tight limits on both time and space for learning and sharing. Since the invention of written language we have had breakthroughs that have helped accelerate and broaden access to the Knowledge Loop. Those include moveable type (about one thousand years ago), the printing press (about five hundred years ago), and then more recently the telegraph, radio and television. Now we are in the middle of another fundamental breakthrough: digital technologies, which can connect all of humanity to the Knowledge Loop at zero marginal cost and are allowing machines to participate in the Knowledge Loop.
Share Dialog
NOTE: I am continuing to post excerpts from my book World After Capital. The following is on the Knowledge Loop. Unfortunately I am dealing with a gitbook issue, so this revised text is not yet live on the book website.
Already today knowledge has made possible something extraordinary: by means of the innovations of the Industrial Age we can, in principle, meet everyone’s basic needs. But we cannot stop here. We need to generate additional knowledge to solve the problems we have introduced along the way, such as climate change. Knowledge is powerful, but only if we have enough of it. Where will that additional knowledge come from?
New knowledge does not spring forth in a vacuum. Instead it emerges from what I call the Knowledge Loop. In the Knowledge Loop, someone starts out by learning something, then uses that to create something new, which is then shared which in turn is the basis for more learning. And so on.

The Knowledge Loop is not new. Given my definition of knowledge, it has been around since humans first developed written language, some five thousand years ago. Before that humans were able to use spoken language, but as I have noted previously that puts tight limits on both time and space for learning and sharing. Since the invention of written language we have had breakthroughs that have helped accelerate and broaden access to the Knowledge Loop. Those include moveable type (about one thousand years ago), the printing press (about five hundred years ago), and then more recently the telegraph, radio and television. Now we are in the middle of another fundamental breakthrough: digital technologies, which can connect all of humanity to the Knowledge Loop at zero marginal cost and are allowing machines to participate in the Knowledge Loop.
It is easy to underestimate the potential of digital technologies for further accelerating and broadening access to the Knowledge Loop; to many, it seems as if these innovations have under-delivered. As a line on the Founders Fund website once complained, “We wanted flying cars and all we got was 140 characters.” Since that lament we have made great progress on flying cars in no small part because digital technologies, including the maligned Twitter, have already helped accelerate the Knowledge Loop.
It is easy to underestimate the potential of digital technologies for further accelerating and broadening access to the Knowledge Loop; to many, it seems as if these innovations have under-delivered. As a line on the Founders Fund website once complained, “We wanted flying cars and all we got was 140 characters.” Since that lament we have made great progress on flying cars in no small part because digital technologies, including the maligned Twitter, have already helped accelerate the Knowledge Loop.
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