Notes
Short, concrete writing on operations, logistics, and AI/MCP infrastructure. One question per piece.
TopicsAI (4)Language models (4)Operations (4)AI agents (2)AI systems (2)Career (1)Cybersecurity (1)Data infrastructure (1)History (1)HowUSA (1)Language learning (1)Logistics (1)Model evaluation (1)Notebook (1)Open source (1)Ostapenko Foundation (1)Portuguese (1)RAG (1)Reflection (1)Vibe coding (1)
I stopped trusting AI headlines, so I built a course
I went back to the papers and rebuilt the path from language-model mechanics to working systems. AI Academy is the map that came out of those notes.
Will AI move beyond the corporate walls?
Business AI works inside company walls. The next step is protected agent communication with suppliers, buyers and current market data.
My view of the OpenAI and Hugging Face incident
My technical view of the OpenAI and Hugging Face incident, why the models did not rebel and what the case says about agent limits.
Ask your corporate AI where the container is
A corporate assistant needs structured documents, reliable links, permissions and live data. This is the three-layer RAG design we used at NF ELIT.
Why Ostapenko Foundation exists, and why HowUSA came first
Why I organized Ostapenko Foundation, what HowUSA helps people do, and what Luna taught me about balancing AI safety with useful answers.
I built the language app I wanted when I was learning Portuguese
I learned faster when words and context came before perfect grammar. So I vibe-coded a free English and Portuguese app around that idea.
A smart model cannot help if it has no one to call
Five containers split between Baltimore and Houston. The failure shows where LLM capability ends and reliable AI systems still fall short.
The 2017 paper that every AI chatbot is built on
The whole industry rides on a short chain of papers. Shannon, word2vec, the transformer, RLHF. Walk it once and the miracle goes away.
A large language model is not artificial intelligence
There's no intelligence in there, just text prediction by a math formula. What an LLM really is, and why calling it AI gets you to use it wrong.
Hello, I'm Denis
A short hello, forty years old, a builder of systems, and someone who sees AI as a superb tool, not a miracle or a threat.
What really happens to your container at the Port of Baltimore
'Your container arrived' doesn't mean you can pick it up. The real timeline at the Port of Baltimore, ISF, customs, free time, demurrage, step by step.
Turning forty, and starting over
At forty I stopped running on autopilot. Fifteen years of operations behind me, now learning to build, automation and AI. Scared, moving, not stuck.