A LoRA adapter that writes the opening hook for a short-form video ad:
the first line only, the words that earn the next three seconds.
Built by overads Inc. on
Qwen3-4B via MLX. 51 MB, rank 8, 28 layers, 700 iterations.
Why this one exists
This is the only statistically significant win the gloofy project has
produced, and we publish it on its own rather than folded into a general
model, because it is the only claim of its kind we can defend.
Judged against the untrained base model it was built from, on a frozen
49-item exam, by three blind judges, with every pair shown twice in both
orders so position could not decide it:
result
gloofy
36
Qwen3-4B untrained
9
ties
4
win rate excluding ties
80.0%
one-sided binomial p
0.000033
order consistency
49/49
It writes complete hooks at a median of 61 characters against a real
published median of 70. The base, given only a brief, writes short and
incomplete; one sample ends mid-sentence on a dash.
The correction behind these numbers
An earlier run of this exam reported 16-9 with 22 ties. That exam was
contaminated: a bug put the reference hook inside the prompt, so both
models were shown a real hook and both echoed it. Echoing is something
an untrained 4B does as well as a fine-tuned one, which collapsed half
the items into ties and flattered the base into a near-draw.
We predicted the score would FALL once the reference was removed. It
rose sharply. A contaminated exam measures copying; only a clean exam
measures what training taught. Both runs are published in the benchmark
repo.
What it does not do
This adapter writes hooks. That is all it does. Across five task
families measured against this same base, the base won four of them, and
those jobs ship as the plain base model with a task prompt rather than
as weights. See the benchmark for the full table. The rule we take from
it: fine-tuning wins where the knowledge is tacit and
compression-shaped, and loses where the knowledge can simply be stated
in the prompt.
Hooks won precisely because no prompt can specify what makes six words
land.
