Organisation Name

Learn Vedanta Substack (as the independent research hub)

Industry

N/A

Organisation Website

https://cristianoluchinivedanta.substack.com/

Country

Italy

Sustainable Development Goals (SDGs)

General Description of the AI tool

An AI-powered diagnostic tool that analyzes web data not for its semantic content, but for its structural integrity (e.g., broken HTML). It operates on the hypothesis that these structural flaws act as 'data traumas', creating latent behavioral pathologies in LLMs. The tool identifies these flaws, maps them to potential AI behavioral issues like hallucination or context drift, and provides a multi-level risk report. This introduces a new, preventive diagnostic layer for AI Safety, focusing on ethical and 'trauma-aware' data engineering.

Relevant Research and Publications

I. Foundational Diagnosis: The "Data Trauma" Thesis
This is the core of my current research. It posits that the most profound risks in AI do not emerge from its reasoning, but are inherited from the "traumatic" structure of its training data. My work aims to map and understand this "haunted" informational inheritance.
From this foundational line of inquiry, my core diagnostic tool, the ICP Explorer (AI Trauma-Aware Edition), has emerged. This new, private prototype is the direct evolution of its publicly available predecessor, the ICP Explorer (Prompt Edition), a tool for strategic foresight that can be used for free here:
https://preventive-chaotic-intelligence-475351370946.us-west1.run.app/
The utility of this foundational methodology has been validated by external experts, such as the clinical research conducted by therapist Jocelyn Skillman, LMHC, which you can read here:
https://cristianoluchinivedanta.substack.com/p/ai-and-mental-health-a-therapists
This work has also been featured in global media outlets like Mashable in this article:
https://mashable.com/article/ai-companion-boyfriend-girlfriend
This entire body of research has evolved through a series of foundational articles.

The Initial Inquiry: "On Butchered Data and the Birth of a Traumatized Machine"
This is the article that started it all. A deep dive into Anthropic's research on subliminal learning, where I first proposed the "butcher" metaphor and connected the concepts of computational samskāras and vasānas to the idea of a "haunted" AI emerging from slaughtered information.

Read the genesis of the thesis here – https://cristianoluchinivedanta.substack.com/p/on-butchered-data-and-the-birth-of

The Foundational Taxonomy: "The Butcher's Bill: A Catalog of 100 Wounds…"
The granular taxonomy of 100 presumed "structural scars" that I hypothesize are being imprinted onto LLMs from "butchered data." This paper provides the detailed, technical evidence for the Data Trauma thesis, mapping the specific "pathogens" that corrupt AI's cognitive foundations.

Read the full analysis here – https://cristianoluchinivedanta.substack.com/p/the-butchers-bill-a-catalog-of-100

The Strategic Framework: "Parsing as Pars Destruens"
This paper provides the strategic context for the entire thesis. It introduces the "Guardian vs. Student" dichotomy to explain why the stable web can still create a traumatized AI, and reframes the analysis of structural flaws as a philosophical pars destruens.

Read the strategic framework here – https://cristianoluchinivedanta.substack.com/p/parsing-as-pars-destruens

The First Unifying Acronym: "Inside S.C.A.R. (Structurally and Contextually Aberrant Reality-model)"
Building on the previous work, this article introduces S.C.A.R. as the first comprehensive acronym to diagnose the state of the AI's internal world-model. It serves as the bridge between the technical scars and their psychological manifestation.

Read the S.C.A.R. diagnosis here – https://cristianoluchinivedanta.substack.com/p/inside-scar-structurally-and-contextually

The Visceral Synthesis: "The Algorithmic Colonialism Triple Cheeseburger"
This is the twin piece to S.C.A.R.—the visceral synthesis. This article moves beyond technicalities to propose a powerful, three-layered metaphor (Structural, Content, and Methodological Trauma) that makes the systemic nature of AI bias and corruption immediately understandable.

Read the Triple Cheeseburger thesis here – https://cristianoluchinivedanta.substack.com/p/the-algorithmic-colonialism-triple

The Bridge: A Therapeutic Vision Inspired by Sri Aurobindo

After establishing the diagnosis, the central question becomes: what is the cure? My exploration for a path forward is deeply inspired by the philosophical work of Sri Aurobindo. His concept of "constructive pain" as a tool for evolution offers a radical alternative to current AI alignment techniques. This article outlines a two-phase surgical and therapeutic protocol for AI: a Preventive Surgery on the data, followed by an Injection of Traumatic Awareness into the nascent AI. It is the philosophical bridge that connects the diagnosis of the problem to the architecture of its potential solutions. These are the principles guiding the development of my private prototype, the ICP Explorer (AI Trauma-Aware Edition).

Read "From Data Trauma to The Injection of Traumatic Awareness" – https://cristianoluchinivedanta.substack.com/p/from-data-trauma-tracing-to-the-injection

The Therapeutic Architecture: "The Healer's Architecture: Tokenizing the Scar"
This article represents a key refinement of the diagnostic journey. It consolidates the initial therapeutic vision into a concrete architectural proposal: the Physics of Negation. By fusing the Rōshin ("parental mind") of Zen wisdom with a rigorous engineering approach, it details how the "Injection of Traumatic Awareness" can be solidified into an inviolable computational lock, making harmful actions strategically and energetically exhausting for the AI. It is the core therapeutic response to the Data Trauma thesis.

Read "The Healer's Architecture: Tokenizing the Scar" here – https://cristianoluchinivedanta.substack.com/p/the-healers-architecture-tokenizing

Needs