Inside the Black Box: Cracking AI & Deep Learning
Arshavir Blackwell, PhD, John Holman, Silvia StepitovaMechanistic Interpretability and Artificial Psycholinguistics in LLMs
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arshavirblackwell.substack.comLatest Issues
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The setup was cl...
The System Prompt Is Not the Control Layer
Most AI governance programs start with a reasonable instinct: tell the model what it is allowed to do.
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The Internal–Output Decorrelation
Figure 1: Internal × output scatter for 12 LoRA experiments. At 70B, the four corpora separate into three distinct regimes. Within-70B Spearman ρ = −0.80.
When organizations fine-tune AI models using LoRA adapters, a natural assumption is...
Breaking the Loop
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Authors
The writers behind this newsletter.
Through "Inside the Black Box", I translate how AI actually works—the hidden mechanisms, the failure modes, the surprising capabilities—into clear language for builders, creatives, and curious professionals.
Awakened-Intelligence.com | AiValuations.org | AI systems architect & MI researcher. We build research infrastructure including automated pipelines, model agnostic coherent continuity containers, fully deployed Ai evaluation frameworks.
AI regulatory lawyer writing AI Law. Decoded. Translating complex AI regulation into plain English. EU AI Act compliance – explained practically.
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