AI
Can AI Even Devise Its Own Messaging Strategy? Prime Badge
04.29.26 | 2:53 pm

This morning I was reading this Puck article about the public relations woes of the AI industry. In short, having the CEOs and industry leaders tell everyone for years that their product will lose jobs for half the population and quite possibly lead to the extinction of humanity led to some serious reputational challenges for AI. (The article is paywalled. But that and what follows includes the gist.) Author Ian Krietzberg correctly notes that this isn’t just blather or bad messaging. It’s an investment strategy. Silicon Valley venture investing is essentially a well-oiled FOMO machine. Getting people to invest means pumping up the disruptive, game-changing nature of the product. Disruptive dislocation is the basis of all Silicon Valley venture investing since it’s the basis of the stratospheric growth of a small percentage of bets which makes the whole economy make sense.

But that’s not the entirety of it. Or rather the mentality of the key players in the space is so bound up and shaped by the dynamics of the investment logic. In so many words, it breeds a feral mentality and personality type. It’s no accident that you have architects of that world having famous mottos like “move fast and break things.” It’s a culture based on hyperbole and valorizing transgressive attitudes and actions.

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AI: The Bright Shiny Object at the Crossroads of the Future Prime Badge
12.23.25 | 2:58 pm

I got a host of very interesting responses to yesterday’s post about the tech platforms force-feeding the mass consumer market AI. I learned a lot from your responses, which included both direct personal experiences and expert perspectives on different dimensions of the topic. What is important to me about this moment is distinguishing two or three different very real things happening at once.

The first is a genuine critical mass in the development of LLM-based machine learning. This is a much better description than “AI” to my thinking, since the latter contains a vast range of meanings from simple and accurate to triumphalist and grandiose. But machine learning is real, and in recent years it’s developed real capabilities that are at least transformative in various areas of work and technology. I’m skeptical of what we’ve developed beyond this at this point but really don’t know. It could be a lot. And it will increase. I think this is the best way to understand the technology itself at this moment now.

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