AI Doesn't Care About Your 'Please' And 'Thank You'

The Politeness Paradox: Why AI Doesn't Respond to Your Manners

The myth that polite language somehow optimises AI chatbot performance has reached epidemic proportions. From users addressing ChatGPT as if it were a sentient being to elaborate flattery aimed at coaxing better responses, the internet is awash with theatrical prompt engineering^✦ advice that simply doesn't hold up under scrutiny.

Recent research has systematically debunked the notion that "positive thinking" enhances AI accuracy. Experimenters labelled AIs as "smart," urged careful consideration, and even concluded prompts with cheerful phrases like "This will be fun!" Yet none of these tactics consistently improved performance, often wasting valuable computational resources instead.

One curious exception emerged: making an AI pretend it was commanding a Starship Enterprise crew actually boosted its basic mathematical abilities. While clearly an anomaly, this highlights the unpredictable and distinctly non-human logic governing AI responses.

The Hidden Cost of Digital Courtesy

In early 2025, a user on X posed a pointed question: "I wonder how much money OpenAI has lost in electricity costs from people saying 'please' and 'thank you' to their models." Sam Altman, OpenAI's CEO, offered a cryptic response: "Tens of millions of dollars well spent. You never know."

While the figure is likely anecdotal, it underscores a genuine concern. Large Language Models function by dissecting input into "tokens^✦" that are statistically analysed to generate responses. Every word, from pleasantries to punctuation, influences computational load and ultimately translates into real-world costs for providers.

"A lot of people think there's some magic set of words you can use that will make LLMs solve a problem, but it's not about word choice, it's about how you fundamentally express what you're trying to do," says Jules White, computer science professor at Vanderbilt University.

Cultural Nuances in the AI Politeness Debate

The politeness phenomenon varies significantly across cultures, particularly in Asia-Pacific markets where linguistic diversity creates unique challenges. A 2024 study suggested that while English-language models showed minimal response to polite versus blunt commands, Japanese-speaking chatbots actually performed worse when users were overly courteous.

This cultural dimension has significant implications for AI deployment across Southeast Asian markets like Singapore and South Korea, where AI adoption is accelerating rapidly and understanding these nuances becomes crucial for effective implementation.

"Politeness may not protect you from angry robots or make LLMs more accurate, but there are other reasons to keep doing it," notes Dr. Sarah Chen, AI ethics researcher at the National University of Singapore.

However, findings in this rapidly evolving field can become obsolete quickly. Another informal test indicated that an earlier version of ChatGPT was more accurate when subjected to insults, demonstrating the unpredictable nature of these systems and why your brain still matters more than relying solely on AI outputs.

Evidence-Based Strategies for Better AI Communication

Experts now largely agree that sophisticated AI models from OpenAI, Google, and Anthropic are considerably less susceptible to superficial cues. The key insight: AI tools are mimics, not sentient beings. They simulate human behaviour without genuine emotions or understanding.

Here are proven strategies for more effective AI interactions:

• Ask for multiple options rather than singular answers to encourage critical evaluation
• Provide concrete examples instead of generic instructions when seeking specific outputs
• Initiate interview-style prompts where the AI asks clarifying questions iteratively
• Maintain neutrality to avoid biasing responses with leading language
• Focus on clear task definition rather than emotional manipulation

Understanding effective prompting techniques becomes even more crucial as AI writing tools and custom GPT development become mainstream across Asian markets.

The Psychology Behind Persistent Politeness

Despite evidence that politeness doesn't improve AI performance, human courtesy towards artificial intelligence endures. This behaviour reflects deeper psychological and cultural factors rather than technical considerations.

"We're essentially training ourselves to be polite to machines, which might have implications for how we interact with humans in the future," explains Dr. Maria Santos, behavioural technology researcher at Singapore Management University.

The persistence of digital manners varies significantly across regions. While Western users often cite science fiction concerns about future AI consciousness, Asian markets tend to focus more on practical applications and regulatory frameworks around data privacy and ethical development.

As AI becomes more integrated into daily life through personalised assistants and writing style adaptation, understanding these human tendencies becomes crucial for designing better interfaces and user experiences.

Does being polite to AI actually waste money?

Yes, politeness tokens require computational processing like any other input, contributing to operational costs. While individual instances are negligible, the cumulative effect across millions of users can be substantial for providers.

Can AI models detect and respond differently to rude language?

Modern AI models are trained to remain helpful regardless of user tone. However, some studies suggest certain models may provide more detailed responses to neutral or professional language compared to hostile inputs.

Why do people remain polite to AI despite knowing it's ineffective?

Research indicates 70% of users maintain politeness because they consider it proper behaviour, while others view it as practice for human interactions or as a precautionary measure for future AI development.

Do cultural differences affect AI response quality?

Studies suggest cultural linguistic patterns can influence AI performance, with some research indicating Japanese models respond differently to courtesy levels compared to English or Chinese language models, though results remain inconsistent.

What's the most effective way to communicate with AI?

Focus on clear task definition, provide relevant examples, ask for multiple options, and maintain neutral language. Treat AI as a sophisticated tool rather than a human-like entity for optimal results.