Inside the Black Box: Cracking AI & Deep Learning
Arshavir Blackwell, PhD\ud83e\udd16, John Holman, Silvia StepitovaMechanistic Interpretability and Artificial Psycholinguistics in LLMs
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Rule or Rote?
Part 2 of 3.
TL;DR: I used a made-up word from 1958 to test whether AI models have a real grammar rule for the past tense, then looked inside to find it. I found real generalization, but no clean rule. And a reader caught something that co...
Goed: Does an AI Learn Past Tense Like a Child?
There’s a moment every English-speaking toddler goes through that has launched a thousand academic papers. The child, who has been saying “went” correctly for months, suddenly starts saying “goed”. And “taked”. And “bringed”. Then, months l...
I Built Something!
I usually write about the insides of the LLM, the part that no one quite understands just yet. Today, I’m excited to announce something more focussed on the output of the LLM, although there was a lot of mechanistic interpretability involve...
My Metric Said the Voice Died — and That It Got Stronger
Compression is supposed to be lossy in a boring way. Round a model’s weights from 16 bits to 4, fit it on a smaller card, lose a little of everything. I wanted to know what a fine-tuned writing voice loses when you do that. The answer turne...
The Bench Beneath the Benchmark
Earlier this year, a team led by Hong and colleagues at Active Site published the results of the largest controlled trial yet conducted on whether frontier large language models actually help novices do molecular biology.
The setup was cl...
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I help experts outside AI look inside the models — and build local ones in their own voice. 30 years in.
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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