Why Gen X is the real loser generation - I was there for the design meetings. Works as designed. I mean, we had a whole song called “Loser."
A CEO of AI Applications Marks a New Era of AI Competition - Digging the moats: “Like airplane reward programs, personalization & memory introduce switching costs that may outweigh the benefits of state-of-the-art models."
Thanks to DOGE, Gumroad’s founder has a second job with the VA - Fast Company - It’s always too many meetings: ‘But when it comes down to it, what he’s found is a machine that largely functions, though it doesn’t make decisions as fast as a startup might. I would say the culture shock is mostly a lot of meetings, not a lot of decisions,” he says. “But honestly, it’s kind of fine—because the government works. It’s not as inefficient as I was expecting, to be honest. I was hoping for more easy wins.”'
Slop Farmer Boasts About How He Uses AI to Flood Social Media With Garbage to Trick Older Women - How the slop is made. // Important point: it’s unclear if it actually makes money. // Imagine applying this to B2B marketing, industry analysis (AIMonk, ChatGartnerPT), and news coverage.
Most AI spending driven by FOMO, not ROI, CEOs tell IBM - “Just over half (52 percent) of CEO respondents say their organization is realizing value from GenAI investments beyond cost reduction."
Three Reasons to Write More in an Age When Writing Means Less. - Write (and publish in the web) oto make sure you are known and have a legacy in the LLMs. Also, contribute to the future of knowledge (slight eyeroll there). // Oh, also because writing it the best way to think.
William Gibson - September 1997 interview.
It’s time we stopped asking for vases. - Most people cram their AI prompts with so many rules that they predetermine the answer. When the question is stuffed with constraints, the model can only spit back something obvious. A handful of well-chosen guidelines can help, but the real magic happens when you leave space for the AI to explore. In other words: ask narrowly and you’ll get a narrow, predictable response; ask openly and you invite surprising insight–so stop chasing a one-size-fits-all “perfect prompt."