Ironically, this essay is an example of at least somewhat "questionable taste". It has provoked dialogue and thus is valuable, but I think it makes a number o

Ironically, this essay is an example of at least somewhat "questionable taste". It has provoked dialogue and thus is valuable, but I think it makes a number of cognitive errors in its argument. "Taste" is just knowledge. Advanced knowledge. Knowledge that is not easily put into words. This is another restatement that knowledge, in a human head, is the determining factor of production, over land, labor and capital. This a post-capitalist argument that's been made for over 30 years (Peter Drucker in his 1993 book is my favorite), and it's been at least somewhat true even back to the 70s, just increasingly so as AI takes off. The author's sidebar of AI or even cloud computing "taking ownership of the means of production away from workers" is entirely misunderstanding how the modern economy operates and shows how badly we need a new Marx (and Keynes, Schumpeter, or Drucker) since his analysis doesn't seem to provide the same analytical value in late capitalism. Renting vs. owning the means of production is now entirely a function of knowledge of the entrepreneurs (and their team). Capital is ubiquitous now and is desperate for return - it remains powerful but is not all-powerful. We've had years of near-low interest rates and even after COVID inflation, they're still historically low. It is far more accessible to entrepreneurs than it has ever been in history, between grants, loans, subsidies, private equity, angels, crowdfunding, donations, etc. It's practically a cliche that billions in capital can be wasted on an initiative because the people involved had no idea what they were doing. I don't think AI changes that. We don't need to rent our tokens, we can run open models on our local rigs (which still requires capital). We don't need to rent our servers, we can buy, rack and stack them on our own. Which we choose is fentirely dependent on the knowledge we have. If we don't know how to run an AI rig, we must rent it. If we don't know how to run a server, we must rent it. etc. There are several walls driven by taste - Design - Testing - Production - Security - Scalability In particular, the author seems confused on what "production" is. Production is still the wall. There was a joke on X the other day: "I vibe coded my dream app! Try it out here: http://localhost:8080/coolapp" Software running in production is not tokens. I'm sure properly prompted AI can deploy and run simple software in production but this requires a lot of knowledge to prompt to constrain it to run in a secure, scalable, adaptable way as complexity, scale, and capability grows.