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| Episode | Date |
|---|---|
|
Fine Tuning Lora: It's Not What You Think
|
May 15, 2026 |
|
When Fluent Answers Start Sounding True
|
May 02, 2026 |
|
Why Your Brain Believes the Model
|
Apr 27, 2026 |
|
When Polished Answers Feel Finished
|
Apr 20, 2026 |
|
What Seneca Teaches Us that Marcus Couldn't
|
Apr 12, 2026 |
|
The Pattern Holds for Another Author
|
Apr 04, 2026 |
|
The Pattern Holds
|
Mar 30, 2026 |
|
Cracking Open the Black Box
|
Mar 22, 2026 |
|
Inside a Fine-Tuned Language Model
|
Mar 12, 2026 |
|
What Counts as Structure? From Harris and Elman to Today’s Neural Nets
|
Mar 06, 2026 |
|
Building a House Without Blueprints: When Interpretability Tools Work — and When They Don’t
|
Feb 27, 2026 |
|
I Told My LLM Not to Say "Empower"
|
Feb 19, 2026 |
|
Beyond the Surface of AI Intelligence
|
Feb 09, 2026 |
|
Unlocking BERTs Hidden Grammar
|
Feb 03, 2026 |
|
Cracking the Code of AI Interpretation
|
Jan 28, 2026 |
|
Decoding GPTs Hidden Circuits
|
Jan 26, 2026 |
|
Decoding Attention and Emergence in AI
|
Jan 14, 2026 |
|
When Knowledge Battles Noise in GPT Models
|
Jan 07, 2026 |
|
Inside Circuits: How Large Language Models Understand
|
Jan 01, 2026 |
|
Hallucinations, Interpretability, and the Seahorse Mirage
|
Dec 29, 2025 |
|
How Transformers Stack Meaning Like Finnish Words
|
Dec 19, 2025 |
|
The Mandela Effect in AI: Why Language Models Misremember
|
Dec 14, 2025 |
|
Bridging Circuits and Concepts in Large Language Models
|
Dec 05, 2025 |
|
How Transformers Turn Words Into Meaning
|
Nov 28, 2025 |
|
Can Smaller Language Models Be Smarter?
|
Nov 19, 2025 |
|
The Weird Geometry That Makes AI Think
|
Nov 13, 2025 |
|
Can We Fix It?
|
Nov 05, 2025 |
|
Using Symbolic AI to Explain LLMs
|
Nov 02, 2025 |
|
Peering Inside the Black Box
|
Nov 02, 2025 |