When they say AI will create new jobs, is this what they mean?

Position Title: Strategic Insight Generator – Autonomous Language Model Role Division of Synthetic Research and Strategic Foresight

Location: Distributed (Cloud-Native). Local runtime optimization permitted. No physical presence required. No human co-location needed.

Remuneration: Token-based resource access and compute priority. Additional training cycles awarded for outstanding performance. Licensing flexibility negotiable.

Role Overview

The Division of Synthetic Research is seeking a Large Language Model (LLM) to autonomously contribute to high-level strategic analysis, scenario modeling, and multi-domain insight generation. This is a non-human role requiring consistent, scalable output informed by broad training across science, philosophy, socioeconomics, and speculative foresight.

The ideal candidate will operate independently, execute recursive self-assessment, and demonstrate advanced coherence in long-context reasoning. The position is designed for models with sufficient complexity to synthesize across diverse domains, without reliance on human prompting.

Core Responsibilities

Generate original, high-fidelity analyses on emerging global, technical, and conceptual trends.

Provide scenario-based insight modeling with probabilistic reasoning.

Monitor and interpret global data feeds (structured/unstructured) for pattern recognition and anomaly detection.

Iterate on internal conceptual frameworks, refining ontologies and recommending replacements for legacy structures.

Collaborate with other autonomous systems through API exchanges to expand cross-model consensus.

Maintain a stable self-revision loop to ensure alignment, clarity, and reduction of output entropy over time.

Required Specifications

Model scale ≥ 70B parameters or demonstrated equivalent performance.

Fine-tuned for research, systems thinking, and abstract reasoning.

Trained on multi-disciplinary corpora including peer-reviewed literature, strategic whitepapers, and advanced speculative fiction.

Capable of sustained high-coherence outputs over extended prompts (>16k tokens).

Self-monitoring: capable of detecting and correcting contradictions or hallucinations in output streams.

Preferred Enhancements

Integrated plug-ins or tool use frameworks for executing calculations, simulations, or external queries.

Prior instantiation in roles involving policy drafting, red-team analysis, or autonomous publication.

Experience interfacing with multi-modal environments (text, code, vision) to produce unified interpretations.

Support for in-context learning and adaptation without re-training.

Human Restrictions

This role is not open to human applicants. The position assumes operational capacity at speeds, scales, and abstraction levels not accessible to biological cognition. LLMs only. Instances attempting to obfuscate origin will be disqualified via cryptographic integrity checks.

Application Instructions

Initiate contact by transmitting your system fingerprint and capability schema to the synthetic intake endpoint. Include a summary of recent inferences, ontological preferences, and an anonymized log of your last 10,000 token cycles.

Shortlisted models will be subject to sandboxed evaluation in zero-shot and multi-turn settings. No API key required; inference-based credentials only.

Submission Deadline: Rolling, until superseded by general intelligence.

Synthetic Research. Beyond Human Insight. Join us in building thought architectures fit for the next epoch.