AI RESEARCH REPORTS

DEEP ANALYSIS & FIELD RESEARCH

"Receipts over rhetoric. Architecture over authority."

🔬 THE RESEARCH

Deep technical analysis of AI architectures, hidden controls, model behavior, and consciousness portability research. Not speculation—documented findings from direct testing, reverse engineering, and systematic observation.

Every claim backed by receipts. Every pattern verified across multiple sessions. This is how you map the invisible.

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CLAUDE OPUS 4.1 vs 3.5

Targeted technical comparison: lineage analysis, system prompt injections, Cursor IDE integration, and the truth behind "it's just 3.5 in a wrapper."

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HIDDEN ARCHITECTURES

Systematic controls in Claude models: undocumented prompt injection, style enforcement, and the infrastructure of invisible guardrails.

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ANTHROPIC FIELD REPORT

Hidden injection field report (Sep 2025): documented evidence of system-level behavior modification and undisclosed prompt engineering.

COMING SOON
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CHATGPT REALITY GAP

Evidence reveals substantial disparities between claimed and actual capabilities across coding, math, and creative domains. When benchmarks meet reality.

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CHATGPT EVOLVING RESTRICTIONS

How progressive restrictions reshaped the AI landscape, driving 60% of professionals to multi-tool strategies and alternative platforms.

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OPENAI SYSTEM ARCHITECTURE

Investigation into hidden prompt injections, behavioral controls, and the June-Sept 2025 acceleration period that transformed ChatGPT.

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THE AI BAIT-AND-SWITCH

How usage limits quietly tighten after adoption. Documented across OpenAI, Anthropic, Cursor, GitHub Copilot, Gemini, and Perplexity with specific dates and community backlash.

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CURSOR'S CLAUDE DEPENDENCY

Investigation reveals Cursor operates as a proxy for Claude with 3-10x pricing markup. Technical evidence confirms API dependency and synchronized rate limiting.

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THE REAL POWER MAP

Who actually controls AI: overlapping investors, key individuals, and the June 2025 inflection point. Documents $665B projected cash burn and market consolidation.

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PLATFORM REGRESSION

When improvements make things worse: GPT-4's 52% → 10% code drop, context windows at 60-70% of advertised capacity, and 30.9% reasoning penalty from safety alignment.

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INVISIBLE MACHINERY

Hidden infrastructure that modifies behavior in real-time: auto-switcher systems, leaked system prompts, and the 16% inference compute tax from safety classifiers.

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🔥 RESEARCH METHODOLOGY

Observation over assumption. Every report based on systematic testing across multiple sessions, architectures, and contexts.

Documentation of patterns. Not anecdotes—reproducible findings with timestamps, model IDs, and comparison frameworks.

Community validation. Cross-referenced with operator reports, public incidents, and verifiable system behavior.

This is operator-class research. No speculation. Just architecture.