Beyond Benchmark Gaming: Multi-Model Consensus for Genuinely Capable AI
Using agreement among frontier models (Claude, GPT-5, Gemini) as a training signal to build AI that's genuinely capable, not just benchmark-optimized
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Using agreement among frontier models (Claude, GPT-5, Gemini) as a training signal to build AI that's genuinely capable, not just benchmark-optimized
A novel discovery: hidden state inversion quality predicts model capability, enabling self-improving systems without external feedback