| 1 |
Beyond RAG: How Chomsky's I-Language and Compiler Design Converge on Knowledge Graphs |
LLVM-style IR, Chomsky's I-language, BFO ontology, grammar-first design |
| 2 |
What Is Knowledge Engineering, Really? |
A working definition built around elicitation, evaluation, and 0→1 modeling in messy domains |
| 3 |
Fine-Tuning LLMs Will Restructure Your Data Science Team |
How fine-tuning replaces annotation pipelines and the NN-optimization role; the new "fine-tuning analyst" |
| 4 |
Why Domain-Specific Language AI Features Fail |
The customer-discovery process for niche language AI, and why a Lean Startup approach is required |
| 5 |
Language AI Evaluation 101: Know Your User |
Why simplistic Ground Truth produces misleading accuracy metrics; cognitive empathy as the iteration loop |
| 6 |
Hyper-Local Community Funding: A DAO Alternative to CDFIs |
Local digital tokens and DAOs as a delivery mechanism for under-served-neighborhood capital |
| 7 |
CV: Knowledge Engineering in Messy Domains |
The IR-compile pattern across clinical trials, legal billing, maritime construction, narrative gaming, and geographic inequality |