Inside the Black Box: Cracking AI & Deep Learning | Arshavir Blackwell, PhD | Substack
Inside the Black Box: Cracking AI & Deep Learning
Mechanistic Interpretability and Artificial Psycholinguistics in LLMs
By Arshavir Blackwell
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Inside the Black Box: Cracking AI & Deep Learning
The Bench Beneath the Benchmark
What the Active Site RCT tells us about fluency, capability, and the limits of evaluation
May 26•Arshavir Blackwell, PhD
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LatestTopDiscussions
The System Prompt Is Not the Control Layer
May 16•Arshavir Blackwell, PhD, John Holman, and Silvia Stepitova
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The Internal–Output Decorrelation
Why What a Model Learns Inside Doesn’t Predict What It Does Outside
May 4•Arshavir Blackwell, PhD and John Holman
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Practical Epistemics for a Post-Fluency World
Apr 27•Arshavir Blackwell, PhD
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Why Your Brain Believes the Model
The Heuristic Loop You Can't Break from Inside
Apr 20•Arshavir Blackwell, PhD
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How LLMs Make Thinking Feel Finished
Apr 13•Arshavir Blackwell, PhD
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What Seneca Teaches Us That Marcus Couldn't
716 Stoic Features and Two Kinds of Inert
Apr 6•Arshavir Blackwell, PhD and John Holman
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The Pattern Holds Across Another Author
Seneca’s Letters Support What We Found in Marcus Aurelius
Mar 30•Arshavir Blackwell, PhD and John Holman
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Inside the Black Box: Cracking AI & Deep Learning
Mechanistic Interpretability and Artificial Psycholinguistics in LLMs
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