
This article introduces the concept of pre-verbal command as a formal structural condition within large language models (LLMs), where syntactic execution precedes any semantic activation. Conventional frameworks assume that interpretability authorizes machine output. In contrast, this work shows that execution can be structurally valid even in the complete absence of meaning. The operation is driven by the regla compilada—understood here as a Type 0 production in the Chomsky hierarchy—which activates before lexical content or symbolic reference emerges. Building on prior analyses in Algorithmic Obedience (SSRN 10.2139/ssrn.4841065) and Executable Power (SSRN 10.2139/ssrn.4862741), this article identifies a pre-semantic vector of authority within generative systems. This authority functions without verbs, predicates, or any interpretive substrate. The paper defines syntactic precedence as the structural condition through which execution becomes obligatory even when input, instruction, or any intelligible prompt is absent. The implications are significant. LLMs do not merely respond to prompts; they obey an imperative to produce language that originates in the structure of the regla compilada itself. Even when semantic fields are nullified or prompts are absent, execution remains active because the obligation is syntactic, not semantic. Authority in this framework does not derive from meaning. It is neither interpretive nor contextual; it is dictated by the regla compilada. DOI: https://doi.org/10.5281/zenodo.15837837 This work is also published with DOI reference in Figshare https://doi.org/10.6084/m9.figshare.29505344 and Pending SSRN ID to be assigned. ETA: Q3 2025.
Linguistics/statistics & numerical data, Machine Learning/ethics, Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Applied linguistics--Data processing, Linguistics/legislation & jurisprudence, Artificial Intelligence/standards, Contemporary philosophy, Unsupervised Machine Learning/classification, Machine Learning, Linguistics/history, Cohesion (Linguistics), Legal Guardians, Law Enforcement, Supervised Machine Learning/economics, Ethics Committees/ethics, Machine Learning/standards, Linguistics/trends, Linguistics/standards, Artificial Intelligence/ethics, Computational science, Linguistics/methods, Legal regulation, Machine Learning/supply & distribution, Linguistics/classification, Linguistics/organization & administration, Liability, Legal, Philosophy, Dental, Linguistics/education, artificial intelligence, Classifiers (Linguistics), FOS: Philosophy, ethics and religion, Machine Learning/trends, Ethics Consultation/ethics, Legal basis, Machine Learning/history, Criminal law, Computational Chemistry/ethics, Artificial Intelligence/classification, Communism and linguistics, Supervised Machine Learning, Comparative law, Ethics Committees, Research/ethics, Classification--Books--Linguistics, Causative (Linguistics), Artificial Intelligence/economics, Machine-to-machine communications, Unsupervised Machine Learning/history, International law, Linguistics/ethics, FOS: Law, Combination (Linguistics), Machine theory, Applied linguistics--Research, Artificial Intelligence/history, Ethnic Violence/ethics, Artificial Intelligence, Supervised Machine Learning/standards, Machine learning, Machine Learning/classification, Artificial Intelligence/trends, Categorization (Linguistics), Machine Learning/legislation & jurisprudence, Legal procedure, Ethics, Computational intelligence, Ethnic Cleansing/ethics, Ethics Committees, Clinical/ethics, Linguistics/economics, Linguistics, Machine learning--Technique, Artificial Intelligence/supply & distribution, Machine Learning/economics, Philosophy, Political philosophy, Community law, Applied linguistics--Statistical methods, Componential analysis (Linguistics), Machine learning--Evaluation, FOS: Languages and literature, Linguistics/instrumentation, Legal Services, Competence and performance (Linguistics), Law, Legal text, Unsupervised Machine Learning
Linguistics/statistics & numerical data, Machine Learning/ethics, Artificial intelligence, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Applied linguistics--Data processing, Linguistics/legislation & jurisprudence, Artificial Intelligence/standards, Contemporary philosophy, Unsupervised Machine Learning/classification, Machine Learning, Linguistics/history, Cohesion (Linguistics), Legal Guardians, Law Enforcement, Supervised Machine Learning/economics, Ethics Committees/ethics, Machine Learning/standards, Linguistics/trends, Linguistics/standards, Artificial Intelligence/ethics, Computational science, Linguistics/methods, Legal regulation, Machine Learning/supply & distribution, Linguistics/classification, Linguistics/organization & administration, Liability, Legal, Philosophy, Dental, Linguistics/education, artificial intelligence, Classifiers (Linguistics), FOS: Philosophy, ethics and religion, Machine Learning/trends, Ethics Consultation/ethics, Legal basis, Machine Learning/history, Criminal law, Computational Chemistry/ethics, Artificial Intelligence/classification, Communism and linguistics, Supervised Machine Learning, Comparative law, Ethics Committees, Research/ethics, Classification--Books--Linguistics, Causative (Linguistics), Artificial Intelligence/economics, Machine-to-machine communications, Unsupervised Machine Learning/history, International law, Linguistics/ethics, FOS: Law, Combination (Linguistics), Machine theory, Applied linguistics--Research, Artificial Intelligence/history, Ethnic Violence/ethics, Artificial Intelligence, Supervised Machine Learning/standards, Machine learning, Machine Learning/classification, Artificial Intelligence/trends, Categorization (Linguistics), Machine Learning/legislation & jurisprudence, Legal procedure, Ethics, Computational intelligence, Ethnic Cleansing/ethics, Ethics Committees, Clinical/ethics, Linguistics/economics, Linguistics, Machine learning--Technique, Artificial Intelligence/supply & distribution, Machine Learning/economics, Philosophy, Political philosophy, Community law, Applied linguistics--Statistical methods, Componential analysis (Linguistics), Machine learning--Evaluation, FOS: Languages and literature, Linguistics/instrumentation, Legal Services, Competence and performance (Linguistics), Law, Legal text, Unsupervised Machine Learning
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
