The value is in the difficulty - Annotations
We’ve seen this arc before, and music is the richest analogy.
Like Bruce Sterling always says:
Whatever happens to musicians happens to everybody.
What I’ve learned about writing AI apps so far | Seldo.com
LLMs are good at transforming text into less text
Laurie is really onto something with this:
This is the biggest and most fundamental thing about LLMs, and a great rule of thumb for what’s going to be an effective LLM application. Is what you’re doing taking a large amount of text and asking the LLM to convert it into a smaller amount of text? Then it’s probably going to be great at it. If you’re asking it to convert into a roughly equal amount of text it will be so-so. If you’re asking it to create more text than you gave it, forget about it.
Depending how much of the hype around AI you’ve taken on board, the idea that they “take text and turn it into less text” might seem gigantic back-pedal away from previous claims of what AI can do. But taking text and turning it into less text is still an enormous field of endeavour, and a huge market. It’s still very exciting, all the more exciting because it’s got clear boundaries and isn’t hype-driven over-reaching, or dependent on LLMs overnight becoming way better than they currently are.
Related links
I knew my writing students were using AI. Their confessions led to a powerful teaching moment | AI (artificial intelligence) | The Guardian
AI writing reminds me of Tennyson’s description of the beautiful Maud in the titular poem:
Faultily faultless, icily regular, splendidly null
Dead perfection; no more
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!
Expansion artifacts || Matt Ström-Awn, designer-leader
Compression made the information age possible by stripping things down to fit the pipes. Expansion made the AI age possible by blowing data back up again. Both operations leave marks; we’ve learned to spot compression artifacts, but we’ve only just begun to reckon with expansion artifacts. Until we do, there’s a lot of risk to manage.
The AI Great Leap Forward
In 1958, Mao ordered every village in China to produce steel. Farmers melted down their cooking pots in backyard furnaces and reported spectacular numbers. The steel was useless. The crops rotted. Thirty million people starved.
In 2026, every other company is having top down mandate on AI transformation.
Same energy.
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Magic
Knock, knock! Who’s there? Control freak (now you say “control freak who?”)
Cryosleep
Wake me up when we get to the plateau of productivity.
Coattails
Language matters.
Uses
Large language models are big messy brushes, not scalpels.
Tools
A large language model is as neutral as an AK-47.