Dire Lantern Games

Something just struck me. I know way more about end-to-end development processes and infrastructure and a million other technical topics than I did before AI. While I am seeing and editing a lot less code directly, I am building infinitely more projects and making way more design decisions based on nuances of the different technologies combined with my preferences. I just thought this was worth mentioning because it's counterintuitive. At one level, we are abstracting much further away from coding, but at another level we're just interacting with so much more tech and making so many more design decisions that it exposes us to way more technology. Anyone else feeling this same weird thing?

Yes, and this applies to so much more than bad code. The entire 80s, 90s, and 2000s are full of movies about how worthless people's co-workers are, and how meaningless most corporate jobs are. Everyone has a million stories about how nobody at their job knows anything: how they have multiple coworkers who don't do anything and never get fired, or they're so bad at their job that they just create more work for everyone else. And we all have met dozens or hundreds or thousands of people who confess that they and all their co-workers checked out a long time ago, and they do the bare minimum to get by. Yet somehow, after doing the math on this and realizing this is millions and millions of people we're talking about, when the topic of AI comes up, it is somehow being compared to the brightest minds of our age Instead of the millions of people that everyone knows are there. Smart and talented and dedicated people who work anywhere are likely to have MORE work than they did before AI. But that's not who you should be comparing AI to when you talk about worker replacement. The bar for replacing some massive percentage of knowledge workers is basically sitting on the ground because a massive number of those workers checked out a long time ago. They don't care about their job, are not improving at their job, and honestly only do the work at all whatsoever because they're being paid for it. The only thing stopping AI from replacing the vast majority of this group of people is integration issues. Basically, the piping and wiring to properly connect an AI to all the different systems that a person uses and to be able to switch between them and get tasks done. These issues are currently being solved, and once that happens, we're about to see a massive change to the knowledge workforce. danielmiessler.com/blog/i-th…

🚨 I recommend everyone watch this, regardless of what you think about AI or what you think about Palantir, or Alex Karp. What he is calling out here is extraordinarily important. He's basically saying that the architecture I've been describing since 2023, where enterprises run off of a context layer, with agent-powered workflows, it's all happening. And more importantly, companies to know where they're getting their context layer from, their models from, their computer from, and where their data is stored. His warning is that if companies aren't careful, the entire enterprise stack will get eaten by the big labs, and companies will be in an extraordinarily bad position. With no leverage to push back because the labs will have their infra, their data, and also their differentiating IP. Not sure it will play out that way, but 💥 this is a must-watch. youtu.be/0A3sGymV6kY