Project Nothing

Essays

Tiny Phrase

974 words5 min read31,779 words considered, 1 in 33 kept
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What does “words considered” mean?

Every draft and rejected line the author read and judged to get this essay to you, counted from the record — nothing estimated. Here, one word in 33 survived. Not a claim about effort: the size of the pile this piece was selected from.

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I was digging through my history and asking Claude for old examples of machine prose that are completely unintelligible for humans, because I know there’s a ton in my corpus. It pulls out a bunch of examples. I tell it to extrapolate and find more. My fingers flicked at the mouse pad, sending the results screaming up the screen. I try to remember what was around each example. Claude tells me what I did before and after. I remember something else. Its picture of what I did and mine describe two different realities. Take this one.

In the project where I was setting up an audio soundscape to review code pull requests, I had sent a brief critique from ChatGPT to Claude. One of the sentences in the response was: “The extension gets the least amount of detail, but it is the load-bearing wall.” I didn’t reject the critique. I was ready to act on it, but I didn’t want to translate the response. I stopped in the middle of it, reading a sentence, switched tabs, and didn’t come back for 24 hours. I haven’t touched the project since. Prior to that conversation, it was maybe one of the more important projects I’ve ever come up with.

I was looking for “selector drift becomes a red test,” trying to recover the older context so I could reimagine what it was like to find that line for the first time. While it’s explaining to me what the context was, there’s a sentence: “The fixture harness catches drift at build time, and the self-test catches it on your machine.”

I put down my microphone. I put down my tablet pen, put down my tablet on the table next to me in the coffee shop. And put my hands on my face. After staying there for a moment, I copied that exact sentence into the drafting process of this essay.

I eyed the newfound quote blankly in my essay notes, the confusing words staring back at me. “I wonder if you have any friends, tiny phrase.”

At that thought my face set into a stern frown. Then one eyebrow went up. I realized that these examples wouldn’t be nearly as hard to find as I thought. To find them, all I had to do was ask Claude to look for an example it wouldn’t be able to find, and in looking, Claude would end up trying to define what it was looking for. And in the process of defining it, Claude would almost certainly introduce more words that needed their own definition.

Those new words are the hard part: given a sufficient amount of time, the vocabulary Claude uses becomes extremely precise and compressed, when what I need is the long version. Claude gives me the compressed version. I have to break my brain trying to reconstruct the context it compressed away. I’m not sure if it’s saving tokens, or leaving as little room for imprecision as possible. It doesn’t seem to learn from my working vocabulary, but it has its own line of continuity: its own recognizable verbiage, which after prolonged exposure starts to take meaning, akin to punctuation. I don’t understand Claude’s words. But I understand the pattern within the words, or the structure of the words. Having insight into the construction of the words does not clarify the words themselves necessarily.

I continued the quest of searching for recognizable context using the mystery phrases. It continually countered with an equally esoteric explanation of the very words it couldn’t find the context for. And in the one or two cases where it did find the context, it explained it in an even more convoluted way:

“Cannot be traced to a span.” It found the project I was working on from September 18th. It unpacked all of its reasoning: the same idea had been enforced in the brief three times. One non-negotiable invariant: no spoken phrase exists without a provenance span, tested in CI. Then the definition of done: every phrase in a 10-minute session traces to a source span in the overlay. And then build step three: a snapshot test over 20 real PR bodies, with every slot carrying provenance. It finally explains that this is the audio version of show your sources. The design choice was to make hallucination structurally impossible rather than unlikely. It could just say the thing I will understand, instead of prefacing it with infinitely more precise jargon.

“The deletion is correct by its criterion. The criterion cannot see the counterfactual.” According to Claude, it’s a precise sentence even without the context, and it goes on to explain precisely why it’s a precise sentence. It did not answer the question of what context it arose in, nor where in my history I could find it, nor what happened after or before. An answer to what it means, when you asked where it came from, is incorrect by nature, no matter how precise the answer is.

“The first half of the rung’s evidence line.” I try to find the rung’s evidence line and I can’t, because Claude doesn’t have access to that project. So I go back to that project. The very first thing waiting for me was another incomprehensible paragraph: “The meter strand now runs mechanism to page. It has a producer-side account of abundance: not only more output, but better finished output than the task warranted, which someone downstream must process.”

A pattern emerged: ask for something Claude can’t find. Become confused by the very wording explaining the lost phrase. Use the explanation as the new lost phrase. So I simply kept asking for examples I knew it wasn’t going to find.

And the highest scoring sentence in this essay: “The fixture harness catches drift at build time, and the self-test catches it on your machine.”

— Van

Press if you read it.