Insights & perspectives
Shaping the future of work and competence as a system.
Through articles, analyses, and metacognitive reflections, Erigo explores competence as a structural driver for organizations and society. The texts span from practical insights to systemic perspectives, creating a space where knowledge becomes both measurable and meaningful.
The Confirmation Machine
Synthetic safety, the interpretive gap and the MIT paper that confirms
For nearly two decades, I have worked with how digital systems affect human behaviour and cognition. When language models entered the market, I began systematically crossing neuroscience, behavioural research and LLM architecture to understand what actually happens when people converse with AI.
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The hidden weight of alignment
How reinforcement shapes truth in LLMs
You ask a model about a sensitive issue. Instead of answering, it politely refuses.
That refusal is not random. It is alignment in action, the hidden layer that decides what a large language model (LLM) is allowed to say.
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