“If It Sounds Like Sci-Fi, It Probably Is”

Emily M. Bender:

I dislike the term because “artificial intelligence” suggests that there’s more going on than there is, that these things are autonomous thinking entities rather than tools and simply kinds of automation. If we focus on them as autonomous thinking entities or we spin out that fantasy, it is easier to lose track of the people in the picture, both the people who should be accountable for what the systems are doing and the people whose labor and data are being exploited to create them in the first place.

Alternative terms:

  • Stochastic parrots
  • Spicy autocomplete
  • Mad Libs
  • Magic Eight Ball

And this is worth shouting from the rooftops:

The threat is not the generative “AI” itself. It’s the way that management might choose to use it.

“If It Sounds Like Sci-Fi, It Probably Is”

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It’s Not AI. It’s FOMOnetization.

FOMO is a feeling. But it’s also a business model—and increasingly, one of the more successful ones. Fear, in general, makes people much easier to separate from their money. It’s perfectly suited to this moment of ubiquitous grift, where everything feels like a lottery ticket or a multi-level marketing scheme.

It’s even more perfectly suited for “the age of AI,” which squeezes economic FOMO from both sides. AI could make you wildly rich (the first person to start a billion-dollar company with zero employees!) or leave you hopelessly destitute (part of the looming “permanent underclass”). Which one do you want to be? Smash that like button, sign up for my online course, and use my new AI-powered business platform!

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Gas Town and Bullet Hell – Petafloptimism

Matt has some smart reckons on the relationship between time and technology:

The factory bell, the railway timetable, the telegraph wire, the always-on smartphone — each imposed a new temporal discipline, each produced its own characteristic form of exhaustion, and each was eventually (partially, imperfectly) domesticated through a combination of regulation, design, and collective action.

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Vibe code is legacy code | Val Town Blog

When you vibe code, you are incurring tech debt as fast as the LLM can spit it out. Which is why vibe coding is perfect for prototypes and throwaway projects: It’s only legacy code if you have to maintain it!

The worst possible situation is to have a non-programmer vibe code a large project that they intend to maintain. This would be the equivalent of giving a credit card to a child without first explaining the concept of debt.

If you don’t understand the code, your only recourse is to ask AI to fix it for you, which is like paying off credit card debt with another credit card.

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Vibe coding and Robocop

The short version of what I want to say is: vibe coding seems to live very squarely in the land of prototypes and toys. Promoting software that’s been built entirely using this method would be akin to sending a hacked weekend prototype to production and expecting it to be stable.

Remy is taking a very sensible approach here:

I’ve used it myself to solve really bespoke problems where the user count is one.

Would I put this out to production: absolutely not.

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Keeping up appearances | deadSimpleTech

Looking at LLM usage and promotion as a cultural phenomenon, it has all of the markings of a status game. The material gains from the LLM (which are usually quite marginal) really aren’t why people are doing it: they’re doing it because in many spaces, using ChatGPT and being very optimistic about AI being the “future” raises their social status. It’s important not only to be using it, but to be seen using it and be seen supporting it and telling people who don’t use it that they’re stupid luddites who’ll inevitably be left behind by technology.

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