The Heart of Science: Justification as the Foundation of Knowledge
Modern science has become bogged down in the cult of the heroic discoverer and the fetishization of truth, leading to a crisis of trust. Jacob Stegenga proposes a radical shift: instead of evaluating researchers through the prism of final results, we must subject the architecture of the research process to a rigorous audit. In this view, science is not a casino of lucky hunches, but an institution for the production of justification, where the value of knowledge stems from the discipline of its procedures.
Stegenga: Rejecting the Myth of Heroic Truth
Stegenga rejects the myth of heroic truth because the researcher is not an ascetic waiting for revelation, and science cannot rely on perpetual provisionality. Rejecting these dichotomies is necessary, as without solid foundations, science becomes merely a battle of narratives, where the winner is whoever best distributes affect. Instead of fetishizing cognitive triumph, we must focus on the procedural discipline that protects us from intellectual bankruptcy.
Deontology: The Ethical Foundation of Science
Deontological philosophy of science shifts the focus from consequences to the process's adherence to norms. We do not ask whether a researcher discovered the truth, but whether they acted in a way that builds trust. This is a transition from primitive evaluation to a full audit. In this model, shared knowledge is not the sum of private beliefs, but a state in which there is a firm consensus on evidentiary procedures. Science functions as institutionalized self-correction, where universities and peer reviews serve as audit mechanisms that transform individual insights into a common good.
The Priority Rule and Safeguards for Fast Science
The priority rule is harmful because it rewards haste and aggressive communication at the expense of verification. Stegenga advocates for breaking the link between symbolic rent and priority—glory should go to those who have rigorously closed the case. In crisis situations, when we employ fast science, we must use two safeguards: the principle of similarity to routine practice and the principle of methodological independence from simplified diagnoses. This allows us to distinguish the virtue of correction from the harmful fetish of temporality, where timeless truth crystallizes only where rigorous conditions of justification have been met.
Stegenga’s Norms in the Era of Generative AI
In the age of AI, Stegenga’s norms become a constitution for science. The predictive effectiveness of models is insufficient, as without an auditable evidentiary path, AI is merely a black box. The ARC-AGI-2 test exposes the barriers of machine induction: the inefficiency of learning from few examples, the lack of compositionality, and susceptibility to superficial correlations. The future of science lies in coupling induction with deduction, where the machine generates hypotheses and rigorous logical procedures verify them. We define scientific progress in the AGI era not by the speed of prediction, but by a measurable increase in the quality of justification.
Summary
In an era where machines are taking on the burden of inference, will our most important competence become the ability to question the architecture of their decisions? The true test of intelligence is no longer the ability to generate answers, but the courage to demand justification where an algorithm offers only a black box. In a world of perpetual change, our only anchor remains the rigorous process that protects truth from its own fluidity.
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