Cooking and Growing (Elbow's Metaphors)

In the AI Story

The cooking metaphor captures what large language models do brilliantly. Given ingredients — a topic, references, a structural framework, a tonal register — Claude assembles a product that is often indistinguishable from what a skilled human cook would produce. The brief cites the right cases. The code follows the right patterns. The essay makes the right moves in the right order. The cooking is flawless, or nearly so. This is genuine value: competent cooking that previously required hours of skilled labor now arrives in seconds. The danger is that the flawlessness conceals the absence of growing. The product is there, but the developmental process that would have occurred if a human had cooked it herself has been bypassed.

Growing operates according to a different logic entirely. In Writing Without Teachers, Elbow described the growing mode as what happens during freewriting: the writer does not know where the sentence is going when she begins it, follows the felt sense without a plan, and discovers a formulation that surprises her. The surprise indicates that first-order process has produced something the writer's conscious, evaluative mind had not predicted. The discovery cannot be cooked, because it was not an ingredient. It was something that emerged from the interaction between the writer's first-order process and the material she was engaging with, something neither the writer nor the material contained independently.

Edo Segal's 'simple moments' in The Orange Pill — where he knows what he wants to say and Claude helps him say it better — are pure cooking. The moments that keep him awake — where Claude makes a connection he had not made — are something different. They are not growing, because the machine did not grow the idea; it cooked it from its training data. But the effect on Segal is the effect of growing: the idea arrives unexpectedly, opens a space he did not know existed, produces the surprise that is the hallmark of first-order discovery. This creates a diagnostic challenge. The surprise feels genuine. The response in the body is identical to the response produced by genuine first-order discovery. But the process that produced the surprise was not first-order. It was statistical pattern-matching at enormous scale.

The question is whether the distinction matters. If the effect on the writer is the same — if the surprise opens the same creative space, generates the same felt-sense response, leads to the same productive exploration — does it matter that the surprise was produced by a machine? Elbow's framework suggests that it does, and the reason is developmental. Growing does not just produce a product. It produces a grower. The writer who has grown an idea through first-order process has exercised and strengthened the capacity to discover. The felt sense has been calibrated. The associative muscles have been used. When the machine produces the surprise, the product arrives but the developmental deposit does not. The capacity atrophies because it is not exercised, and the atrophy is invisible until the machine is unavailable or the writer attempts to work in a domain where the machine's training provides no useful connections.

Origin

Elbow introduced the cooking and growing metaphors in Writing Without Teachers (1973) as descriptive rather than prescriptive categories. He noticed that writers alternated between two qualitatively different experiences: controlled assembly and organic emergence. Sometimes the writer knew what she wanted to say and simply needed to find the right words. Other times, the writer had no idea what she thought until she wrote her way into the discovery. Traditional pedagogy emphasized cooking almost exclusively — teaching structure, organization, thesis statements — while providing no support for growing. Elbow's career-long project was to legitimize and teach the growing mode, arguing that the most valuable products of writing are the ones that could not have been cooked because the writer did not know the ingredients until the growing process revealed them.

Key Ideas

Cooking is controlled assembly. Deliberate construction from known components — efficient, reliable, scalable, and precisely the mode at which AI excels.

Growing is organic emergence. Tending conditions and waiting for development according to the material's own nature — time-dependent, unpredictable, and structurally unavailable to computational systems.

AI cooks brilliantly, cannot grow. The machine assembles known patterns into new configurations with extraordinary competence but cannot undergo the first-order process through which genuinely novel ideas emerge from uncertainty.

Delegation of both modes produces voicelessness. The builder who uses AI only for cooking produces competent work without voice — the work lacks the quality that emerges from growing.

Human growing is the irreplaceable contribution. Creating conditions for first-order discovery, tending the felt sense, waiting for the surprising connection — capacities the machine structurally lacks and human practitioners must protect.