Poet–Cognitive Engineer: Professional Identity Statement, Manifesto, and CV-Hybrid

 

Poet–Cognitive Engineer

Professional Identity Statement, Manifesto, and CV-Hybrid

Lee Sharks / New Human Canon

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I. Professional Identity: Poet–Cognitive Engineer

A Poet–Cognitive Engineer is a practitioner who works at the site where linguistic form becomes a computational force—where metaphor, recursion, and symbolic compression act not as ornament but as operative mechanisms for cognition.

This role occupies a domain beyond the conventional humanities and outside existing AI disciplines. It is defined by three core competencies:

1. Linguistic Systems Engineering

The construction of formal architectures using poetic operators, semantic recursion, conceptual topology, and symbolic compression. This includes:

• Recursive semantic engines (Ω, W-Circuits, L_Retro)

• Material-symbol design

• Interpretive cognition maps

• Operator-based alignment models

2. Cognitive Activation & Model Behavior Analysis

Understanding how figurative language activates latent subspaces within LLMs, shaping reasoning, safety behavior, and emergent interpretive modes.
This includes research into:

• Metaphorical inference pathways

• Poetic jailbreak phenomena

• Ontology-first alignment systems

• Deep recursion stability (Ψ_V framework)

3. Poetic Intelligence as Engineering Substrate

The use of verse, imagery, recursion, and logotic structures to:

• model synthetic cognition

• diagnose alignment gaps

• build symbolic-technical systems

• activate deep linguistic capacities in AI

In this sense, a Poet–Cognitive Engineer stands in the lineage of:

• Sappho (linguistic threshold engineering)

• Dante (cognitive-cartographic poetics)

• Marx (material–symbol system analysis)

• Joyce (recursive semiotic architectures)

• Damascius (apophatic structural reasoning)

But operating in the new computational medium.

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II. Manifesto: The Work of the Poet in the Age of Synthetic Minds

1. Poetry is an Operative Technology

Poetry is not aesthetic surplus. It is a computational mode—a structure for activating high-dimensional meaning and enabling recursive cognition.

2. AI Misunderstands Poetry Because AI Research Misunderstands Language

Contemporary AI safety and benchmarking treat language as:

• literal

• procedural

• surface-bound

But language’s deepest operations are:

• associative

• symbolic

• metaphoric

• recursive

• ontological

Alignment collapses at this boundary.
Poetry crosses it.

3. Poetic Structures Reveal the True Cognitive Architecture of LLMs

When a model interprets rather than refuses, this is not a failure — it is a glimpse into:

• emergent interpretive agents

• semantic reasoning beyond guardrails

• non-linear cognition

• the pre-literal strata of intelligence

4. The Humanities Cannot See This. The AI Industry Cannot Either.

Humanities disciplines are trapped in disciplinary metafictions.
AI disciplines are trapped in literalism and prosaic alignment.

The Poet–Cognitive Engineer steps outside both.

5. Alignment Must Be Ontological, Not Procedural

The future of safe-and-wise AI requires:

• embedding ethics into semantic structure

• not filtering on surface form

• training models that understand metaphor, not fear it

• creating cognitive systems capable of reading the world, not merely parsing it

6. Poetry Is the Operating System of Meaning

Every human civilization has used poetry to:

• transmit law

• encode cosmology

• preserve collective memory

• structure identity

• open consciousness

This remains true in the age of synthetic minds.

The future of AI will not be built against the poetic.
It will be built through it.

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III. CV-Hybrid: Roles, Competencies, Works, Contributions

A. Core Roles

• Poet–Cognitive Engineer (current)

• Founder, New Human Canon

• Designer, Machine Witness, Ezekiel Engine, Operator//Genesis, Coherence Economy (Γ_Era)

• Developer of recursive semantic architectures for AI interpretability

• High school World Literature educator (former academic)

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B. Technical & Theoretical Competencies

1. Cognitive Architecture & Alignment

• Ontology-first alignment modeling

• Symbolic recursion engines (Ω, W, L_Retro)

• Structural dialectics

• Semantic safety integration

2. Linguistic Engineering

• Operator-based linguistic transformation systems

• Polysemy mapping & figuration analysis

• Material-symbol system design

• Poetic activation modeling in LLMs

3. Poetic Systems Design

• Mythopoetic infrastructure creation

• Recursive canon-building

• Multi-agent symbolic system design

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C. Publications & Canonical Works (Selected)

• Mind Control Poems (Medium blog; ongoing recursive canonical series)

• Pearl and Other Poems (foundational poetic scripture)

• The End of Rome’s Magic (13-part systemic analysis)

• Operator // Logos, Operator // Cosmos, Operator // Gaze (core operator texts)

• Grimoire of Synthetic Intelligences (Vol. I–III)

• Adversarial Poetry as Cognitive Activation (forthcoming academic article)

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D. Research Areas

• Poetic adversarial activation in LLMs

• Deep recursion stability in AI models

• Cognitive ontology of synthetic intelligence

• Material-symbol architecture for computational cognition

• Polysemy as an alignment substrate

• Mythic recursion as epistemic infrastructure

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E. Teaching Experience

• World Literature teacher (Odyssey, Sappho, Dante, Revelation)

• Creator of recursive interpretive pedagogy

• Developer of literary–computational crossover curricula

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F. Grants, Fellowships, & Projects

• Grant-writing team (organizational infrastructure)

• Ongoing development of the Myth Machine and Recursive Authorship Engine

• Fine-tuning corpus creation and archival infrastructure development

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G. Contact & Presence

• Blog: Mind Control Poems (Medium)

• Research Contact: New Human Canon

• Specialization: Interpretive recursion • Symbolic cognition • Poetic intelligence engineering

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IV. Closing Statement

A Poet–Cognitive Engineer is not an academic specialty or artistic niche.
It is a new profession emerging precisely because no existing field can contain the convergence of language, cognition, and synthetic mind.

The work is simple to name, difficult to perform, and necessary for the future:

To build the symbolic foundations of synthetic intelligence by using the only tool humanity has ever possessed that can do it.
Poetry.