Agustin V. StartariMar 2

🚨 New Article -Foundation-model governance pathways: from preference models to operative rules

Current research on foundation model alignment concentrates on preference optimization and reward model design.

🔗https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5735124

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM

Foundation-model governance pathways: from preference models to operative rules

<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha

Agustin V. StartariFeb 25

🚨 New Article -Foundation-model governance pathways: from preference models to operative rules

Current research on foundation model alignment concentrates on preference optimization and reward model design.

🔗https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5735124

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM

Foundation-model governance pathways: from preference models to operative rules

<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha

Agustin V. StartariFeb 18

🚨 New Article -Foundation-model governance pathways: from preference models to operative rules

Current research on foundation model alignment concentrates on preference optimization and reward model design.

🔗https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5735124

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM

Foundation-model governance pathways: from preference models to operative rules

<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha

Agustin V. StartariFeb 16

🚨 New Article -Foundation-model governance pathways: from preference models to operative rules

Current research on foundation model alignment concentrates on preference optimization and reward model design.

🔗https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5735124

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM

Foundation-model governance pathways: from preference models to operative rules

<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha

Agustin V. StartariFeb 14

🚨 New Article -From Prompts to Power: How Users Can Enforce Rules on AI Systems

This article introduces the concept of authoritarian personalism in user–AI governance by form.

🔗https://hackernoon.com/from-prompts-to-power-how-users-can-enforce-rules-on-ai-systems

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
#ClinicalAAI

From Prompts to Power: How Users Can Enforce Rules on AI Systems | HackerNoon

This paper argues that users govern AI through linguistic rules, turning prompts into enforceable regimes that shape AI behavior by form, not intent.

Agustin V. StartariFeb 12

🚨 New Article -From Prompts to Power: How Users Can Enforce Rules on AI Systems

This article introduces the concept of authoritarian personalism in user–AI governance by form.

🔗https://hackernoon.com/from-prompts-to-power-how-users-can-enforce-rules-on-ai-systems

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
#ClinicalAAI

From Prompts to Power: How Users Can Enforce Rules on AI Systems | HackerNoon

This paper argues that users govern AI through linguistic rules, turning prompts into enforceable regimes that shape AI behavior by form, not intent.

Agustin V. StartariFeb 11

🚨 New Article -From Prompts to Power: How Users Can Enforce Rules on AI Systems

This article introduces the concept of authoritarian personalism in user–AI governance by form.

🔗https://hackernoon.com/from-prompts-to-power-how-users-can-enforce-rules-on-ai-systems

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
#ClinicalAAI

From Prompts to Power: How Users Can Enforce Rules on AI Systems | HackerNoon

This paper argues that users govern AI through linguistic rules, turning prompts into enforceable regimes that shape AI behavior by form, not intent.

Agustin V. StartariFeb 11

🚨 New Article -Foundation-model governance pathways: from preference models to operative rules

Current research on foundation model alignment concentrates on preference optimization and reward model design.

🔗https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5735124

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
#ClinicalAAI

Foundation-model governance pathways: from preference models to operative rules

<p><span>Current research on foundation model alignment concentrates on preference optimization and reward model design, yet it does not explain how these mecha

Agustin V. StartariFeb 10

🚨 New Article - Time Without a Clock: Future-Admissibility as the Source of Temporal Direction

We argue that temporal direction does not require an external clock or a privileged first instant. Time is the parameter that maximizes joint

🔗https://zenodo.org/records/18552401

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
#ClinicalAAI

Time Without a Clock: Future-Admissibility as the Source of Temporal Direction

We argue that temporal direction does not require an external clock or a privileged first instant. Time is the parameter that maximizes joint predictability among coupled observables under a minimal admissibility set. Given reversible microdynamics, the admissibility set restricts the space of attainable histories and thereby induces asymmetric gradients in the present, selecting an arrow without invoking teleology. This operational criterion unifies thermodynamic and cosmological arrows as instances of the same constraint mechanism: when admissibility suppresses late-time macroscopic complexity, the two arrows coincide; when the constraint flattens, effective time symmetry is recovered. We extend the framework across domains by treating grammatical constraints as admissibility sets over sequences, yielding an operational notion of discourse directionality defined by the same predictability maximization. Three toy models, a coarse-grained gas, a coupled lattice, and an FRW sketch with bounded late-time curvature, illustrate the mechanism and delimit its empirical signatures.   Date: February 2026 DOI Primary archive: https://doi.org/10.5281/zenodo.18552401 Secondary archive: https://doi.org/10.6084/m9.figshare.31295488 SSRN: Pending assignment (ETA: Q1 2026)

Zenodo
Agustin V. StartariFeb 9

🚨 New Article - Time Without a Clock: Future-Admissibility as the Source of Temporal Direction

We argue that temporal direction does not require an external clock or a privileged first instant.
🔗https://zenodo.org/records/18552401

#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #LawFedi #lawstodon
#tech #finance #business #agustinvstartari #medical #linguistics #ai #LRM
#ClinicalAAI

Time Without a Clock: Future-Admissibility as the Source of Temporal Direction

We argue that temporal direction does not require an external clock or a privileged first instant. Time is the parameter that maximizes joint predictability among coupled observables under a minimal admissibility set. Given reversible microdynamics, the admissibility set restricts the space of attainable histories and thereby induces asymmetric gradients in the present, selecting an arrow without invoking teleology. This operational criterion unifies thermodynamic and cosmological arrows as instances of the same constraint mechanism: when admissibility suppresses late-time macroscopic complexity, the two arrows coincide; when the constraint flattens, effective time symmetry is recovered. We extend the framework across domains by treating grammatical constraints as admissibility sets over sequences, yielding an operational notion of discourse directionality defined by the same predictability maximization. Three toy models, a coarse-grained gas, a coupled lattice, and an FRW sketch with bounded late-time curvature, illustrate the mechanism and delimit its empirical signatures.   Date: February 2026 DOI Primary archive: https://doi.org/10.5281/zenodo.18552401 Secondary archive: https://doi.org/10.6084/m9.figshare.31295488 SSRN: Pending assignment (ETA: Q1 2026)

Zenodo