LLMs and Programming in the first days of 2024

What strikes me about my personal experience with LLMs is that I have learned precisely when to use them and when their use would only slow me down. I have also learned that LLMs are a bit like Wikipedia and all the video courses scattered on YouTube: they help those with the will, ability, and discipline, but they are of marginal benefit to those who have fallen behind. I fear that at least initially, they will only benefit those who already have an advantage.

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Progress Without Disruption - Christopher Butler

We’ve been taught that technological change must be chaotic, uncontrolled, and socially destructive — that anything less isn’t real innovation.

The conflation of progress with disruption serves specific interests. It benefits those who profit from rapid, uncontrolled deployment. “You can’t stop progress” is a very convenient argument when you’re the one profiting from the chaos, when your business model depends on moving fast and breaking things before anyone can evaluate whether those things should be broken.

We’ve internalized technological determinism so completely that choosing not to adopt something — or choosing to adopt it slowly, carefully, with conditions — feels like naive resistance to inevitable progress. But “inevitable” is doing a lot of work in that sentence. Inevitable for whom? Inevitable according to whom?

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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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In 2025, venture capital can’t pretend everything is fine any more – Pivot to AI

Here is the state of venture capital in early 2025:

  • Venture capital is moribund except AI.
  • AI is moribund except OpenAI.
  • OpenAI is a weird scam that wants to burn money so fast it summons AI God.
  • Nobody can cash out.

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What we talk about when we talk about AI — Careful Industries

Technically, AI is a field of computer science that uses advanced methods of computing.

Socially, AI is a set of extractive tools used to concentrate power and wealth.

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Build It Yourself | Armin Ronacher’s Thoughts and Writings

We’re at a point in the most ecosystems where pulling in libraries is not just the default action, it’s seen positively: “Look how modular and composable my code is!” Actually, it might just be a symptom of never wanting to type out more than a few lines.

It always amazes me when people don’t view dependencies as liabilities. To me it feels like the coding equivalent of going to a loan shark. You are asking for technical debt.

There are entire companies who are making a living of supplying you with the tools needed to deal with your dependency mess. In the name of security, we’re pushed to having dependencies and keeping them up to date, despite most of those dependencies being the primary source of security problems.

But there is a simpler path. You write code yourself. Sure, it’s more work up front, but once it’s written, it’s done.

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