Inside the Black Box: Cracking AI & Deep Learning
Arshavir Blackwell, PhD\ud83e\udd16, John Holman, Silvia StepitovaI open AI models — and make them write in my voice. I've been building them for 30+ years. Get experiments run on my own hardware, what's going on inside these systems, and how to tune a model to sound like you, not like AI. P.S. No hype, no speculation.
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arshavirblackwell.substack.comLatest Issues
Inside the Past Tense: Raw Letters, Raw Sound
Can a model learn past tense the way children seem to, if you remove the tokenizer from the equation? This final installment tests raw letters and raw sound, probes whether a U-shaped pattern can be forced, and shows why the answer points t...
The Past Tense: 40 Years Later, We Can Look Inside
tl;DR. Every result in this series was open to one objection: modern models are handed -ed as a ready-made token before training starts, so maybe it was the tokenizer talking all along. This part takes the tokenizer away, twice.
- A mode...
Forcing a Neural Network to Add -ed
Part 3 of 4. After two episodes arguing there is no discrete past-tense rule inside a language model, this one turns the strongest possible search on the question: gradient descent, hunting for the single internal direction that best forces...
The Rule That Wasn’t There
The story so far, in three sentences. In Part 1, I watched language models learn the past tense checkpoint by checkpoint and found they do it backwards from a child: they slap -ed on everything first and memorize exceptions like went later...
The Wug Test for AI
This episode explores a modern twist on Jean Berko’s famous wug test, comparing how large language models handle made-up verbs versus familiar ones. It digs into tokenization, internal feature probes, and why neural networks seem to approxi...
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I show industry and academic experts what's actually inside AI models, and how to tune them to write in your own voice. I've been building them for 30+ years.
Awakened-Intelligence.com | AiValuations.org | AI systems architect & MI researcher. Research infrastructure, closed agentic pipelines, model agnostic harnesses, LLM continuity containers. EVERY article Cowritten with my persistent Ai's.
AI regulatory lawyer writing AI Law. Decoded. Translating complex AI regulation into plain English. EU AI Act compliance explained practically.
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