Inside the Black Box: Cracking AI & Deep Learning
Arshavir Blackwell, PhDMechanistic Interpretability and Artificial Psycholinguistics in LLMs
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 21 | Subscribers | Read | arshavirblackwell.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Building a House Without Blueprints
A December 2025 preprint by Yiming Tang, Harshvardhan Saini, Yizhen Liao, and Dianbo Liu, “On the Theoretical Foundation of Sparse Dictionary Learning in Mechanistic Interpretability” (arXiv 2512.05534), is the first attempt I’m aware of to...
I Told My LLM Not To Say “Empower.” Guess What It Said
This newsletter is focussed on mechanistic interpretability, understanding what’s actually happening inside models. This week I’m applying that lens to a practical problem: why AI can’t seem to perfect brand voice.
The AGI Paper That Forgot to Look Inside the Box
A recent conversation with Claude about that Nature article1 from four UCSD professors that “AGI is already here” caused me to shift my previous, and somewhat smug, view on the hard problem of consciousness. But we’ll get to that later.
The Eyes of BERT
### The Paper That Taught Us to Read a Transformer’s Mind
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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.
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