AI models have hidden alpha baked into their training data.
They've absorbed patterns, narratives, and consensus views from millions of sources. If you know how to prompt correctly, you can extract edge.
Most people are using AI like a search engine. Wrong approach.
The real play: probe the model's embedded assumptions. Ask it to argue against itself. Force it to reveal what narratives it's been trained on.
You're not just asking questions. You're mining the collective intelligence that's been crystallized into weights and parameters.
This is alpha extraction, not content generation.
They've absorbed patterns, narratives, and consensus views from millions of sources. If you know how to prompt correctly, you can extract edge.
Most people are using AI like a search engine. Wrong approach.
The real play: probe the model's embedded assumptions. Ask it to argue against itself. Force it to reveal what narratives it's been trained on.
You're not just asking questions. You're mining the collective intelligence that's been crystallized into weights and parameters.
This is alpha extraction, not content generation.