Copying Your Prompt Twice: I Tested the '+76%' Trick and Found the Truth
Google/DeepMind
A viral lifehack claims that duplicating your prompt to an LLM boosts accuracy by 76%. Testing this on 3360 queries across several Gemini models revealed the effect is real but narrow: it fixes a specific failure of non-reasoning models with long lists, not a general intelligence boost. The famous +76% is a single stress test, and modern reasoning models are immune to the trick.
The author tested a viral prompt-duplication trick referenced to a Google Research preprint 'Prompt Repetition Improves Non-Reasoning LLMs'. In the original, duplicating the prompt helped non-reasoning models in 47 of 70 comparisons, with the +76% figure coming from a single stress test on Gemini 2.0 Flash-Lite, which has since been discontinued. The author ran their own experiment: 3360 queries, $1.48, on gemini-2.5-flash-lite (reasoning off) and gemini-3.5-flash-lite (thinking minimal and high). On the stress suite (NameIndex and MiddleMatch tasks), duplicating the prompt improved accuracy by +38.8 percentage points on the 2.5 model, replicating the original effect, but had no effect on everyday tasks. A third copy added only +5 p.p., and adding a marker like 'Repeat:' made no difference. On the 3.5 model with thinking minimal, the effect persisted (+36.3 p.p.), but with thinking high, accuracy was already 100% on both prompts. The trick also stabilized an otherwise non-deterministic model. However, the author notes that the trick specifically fixes attention lapses on long lists, not arithmetic or other reasoning deficits, and advises caution: results are limited to specific model IDs and dates, and the dataset is self-made.
- Abbreviations
- API = Application Programming Interface — программный интерфейс приложения
- CI = Confidence Interval — доверительный интервал
- LLM = Large Language Model — большая языковая модель
Source: Habr — хаб ИИ —
original
