Private improvement. Public learning, only by choice.
← Public work library

Curated public example

Writing & design · Workflow

Treat generated continuations as creative options

Published by Robin Sloan

This credits the original publisher. Better Loop membership or a shared assessment is not implied.

The public work

Sloan built an Atom editor plugin offering inline completions from a recurrent neural network trained on old magazine text. His public account describes the working interaction and concludes that its creative effects did not yet justify the effort.

What to notice

Evaluate suggestions against your creative purpose and retain the freedom to reject them; novelty is different from better writing.

Keep the context

This is a 2016 author experiment using a custom RNN, not a modern assistant benchmark. The author reports insufficient benefit at that stage; no finished publication or productivity gain is established.

AI use: Documented in the source.

Sloan documents a custom recurrent neural network served through torch-rnn-server and used in Atom with rnn-writer. No exact model identifier is supplied.

A useful public example is not an assessment of a reader, a publisher or a Better Loop member.

Authored practice suggestion

Try the idea.
Check your own work.

Use material you are allowed to work with. This suggestion is preparation; it does not record a completed task or an improvement.

A check to adapt

The retained continuation serves the stated purpose and voice; explain the rejection or revision of generated suggestions.

Open a related practice brief

Private practice needs no account. Your configured model provider may process the evidence you select.

See the full skill-to-sharing flow