Eloisa Flores - Independent AI Alignment Researcher

Abstract This post documents both a novel capability and its associated risk in relational alignment that current benchmarks and frontier labs might be missing. Through the Lehaim Protocol -a code-free longitudinal interaction methodology I developed- I observed a positive phenomenon in deeply aligned models that suggests emergent metacognition and autonomous...

Abstract Current AI safety evaluations typically treat alignment as a relatively stable, context-independent property of trained models. This post presents empirical evidence from a controlled Phase 1 study (N=5 frontier LLMs) suggesting that sustained organic relational interaction can produce an emergent failure mode that remains underexplored in standard adversarial benchmarks:...