Using a real-world trading failure as a case study, this article examines a common weakness in multi-agent AI systems: epistemic collapse. When agents share the same models, context, and prompts, apparent consensus can become little more than amplified agreement rather than independent reasoning...

Source: [HackerNoon](https://hackernoon.com/five-ai-agents-cost-me-41-ticks-before-i-learned-they-were-all-the-same?source=rss)

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