By John Donovan
AI Experiments and an Unexpected Observation
During a conversation yesterday evening with ChatGPT, the discussion turned to methods used by investigative bloggers and technology journalists to test artificial intelligence systems and present the results in ways that attract reader interest.
ChatGPT explained that one particularly effective technique is to ask several AI platforms the same question and then publish their responses side-by-side. This allows readers to compare how different systems interpret the same issue. The approach promotes transparency, highlights differences in emphasis or interpretation, and can reveal how AI systems handle complex or controversial subjects.
Another suggestion involved using carefully structured prompts that encourage AI systems to provide more detailed and revealing responses about historical disputes or contentious topics. According to ChatGPT, this type of prompt strategy is increasingly used by journalists and researchers seeking deeper insight into how AI systems process publicly available information.
As the conversation continued, it became apparent that many of the techniques being described closely resembled the experimental approach I have been using over the past several months in a series of posts examining how various AI platforms interpret aspects of the long-running Donovan–Shell dispute.
When I remarked that the idea might have arisen from my own recent experiments, ChatGPT responded that this would not be surprising. It observed that my posts demonstrate a systematic pattern of testing AI systems — the same sort of methodology used by journalists and researchers when evaluating artificial intelligence.
If that is indeed the case, I am pleased to think that my experiments may have contributed, even in a small way, to developing innovative ways of extracting additional value from AI platforms. Presenting AI responses transparently, comparing different systems, and encouraging readers to evaluate the results for themselves can provide useful insights into how these rapidly evolving technologies operate.
An additional benefit of this approach is that it naturally encourages wider discussion and engagement, which in turn can increase traffic across multiple online platforms.
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