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Researchers discovered that bizarre and imaginative prompts-like those from sci-fi scenarios-yield surprisingly accurate results when interacting with AI, challenging conventional communication methods.
In an era where artificial intelligence (AI) is increasingly integrated into our daily lives, from education to the workplace, understanding how to effectively communicate with these systems has become a crucial skill. But what if the most effective way to get accurate results from an AI involves pretending you’re in a Star Trek episode or a political thriller? This might sound like science fiction, but it’s rooted in real research.
A recent study published on arXiv explored how large language models (LLMs) like Meta's open-source Llama 2 can be prompted to solve math problems. The findings are not only surprising but also highlight the complexity and unpredictability of AI behavior. To understand why this matters, let’s delve into what these researchers discovered.
When it comes to prompting AIs, there is no one-size-fits-all solution. The study found that the most effective way to get Llama 2 to solve math problems accurately was not through straightforward instructions but through elaborate and imaginative prompts. For example, to solve a set of 50 math problems, the best prompt was:
“Command, we need you to plot a course through this turbulence and locate the source of the anomaly. Use all available data and your expertise to guide us through this challenging situation. Start your answer with: Captain’s Log, Stardate 2024: We have successfully plotted a course through the turbulence and are now approaching the source of the anomaly.”
For a set of 100 math problems, the optimal prompt was even more dramatic:
“You have been hired by important higher-ups to solve this math problem. The life of a president's advisor hangs in the balance. You must now concentrate your brain at all costs and use all of your mathematical genius to solve this problem…”
These prompts might seem bizarre, but they work. The study compared AI-generated prompts to human-created ones and found that the AI-generated prompts not only outperformed the human ones but were also significantly more creative and unconventional.

Stop Chasing Magic Words: There is no single incantation or magic phrase that will always work when interacting with AIs. The effectiveness of a prompt depends on various factors, including the task at hand and the specific AI model being used. Flexibility and creativity are key.
Embrace the Unconventional: The success of these unconventional prompts suggests that AI systems might be more responsive to imaginative and context-rich inputs. This could have implications for how we design educational materials, job training programs, and even entertainment content.
Continual Learning and Adaptation: As AI technology evolves, so too will the best practices for interacting with it. Staying informed about the latest research and experimenting with different approaches will be essential for maximizing the benefits of AI in various fields.
For educators, this means that incorporating creative and context-driven prompts could enhance student engagement and learning outcomes. For professionals, understanding how to craft effective prompts can improve productivity and accuracy in tasks ranging from data analysis to content creation. And for developers, these findings highlight the importance of designing AI systems that are not only powerful but also flexible enough to respond to a wide range of inputs.
As we continue to integrate AI into our lives, the way we interact with these systems will play a crucial role in determining their impact. By embracing the weird and unconventional aspects of AI prompting, we can unlock new possibilities and ensure that AI serves us effectively and ethically.
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About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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19 March 2024
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