Technology Articles and References https://codeflow.com.br/ 2026-09-10T16:00:00-03:00 Rafael Santoshttps://github.com/rafaelsantos https://codeflow.com.br/assets/icons/icon-192.png Codeflow © 2026 https://codeflow.com.br/articles/mythology-automata-and-the-origin-of-the-question-the-early-history-of-ai/ 2026-09-10T16:00:00-03:00 2026-09-10T16:00:00-03:00 Rafael Santos

The early history of AI: myths and automata, Turing's question and test, Dartmouth, perceptrons, rule-based systems and the road to the first AI winter.

https://codeflow.com.br/articles/from-output-prediction-to-the-probabilistic-map-autoregression-self-attention-and-embeddings/ 2026-09-10T14:00:00-03:00 2026-09-10T14:00:00-03:00 Rafael Santos

How generative models compose: a probabilistic map instead of a mapping, autoregression token by token, self-attention over long context and embeddings.

https://codeflow.com.br/articles/traditional-ai-versus-generative-ai-predict-from-known-data-or-compose-new-outputs/ 2026-09-10T08:00:00-03:00 2026-09-10T08:00:00-03:00 Rafael Santos

Traditional AI predicts a class or a value inside a closed answer space; generative AI composes a new output from learned patterns. When to use each.

https://codeflow.com.br/articles/when-code-stops-being-the-differentiator-the-developers-role-with-generative-ai/ 2026-09-09T14:00:00-03:00 2026-09-09T14:00:00-03:00 Rafael Santos

Why writing code is no longer enough on its own: where the developer's edge moves, how AI amplifies competence, and what changes for leadership and products.

https://codeflow.com.br/articles/fundamentals-over-tools-how-to-evaluate-and-build-with-generative-ai/ 2026-09-09T08:00:00-03:00 2026-09-09T08:00:00-03:00 Rafael Santos

Why understanding generative AI fundamentals beats tool familiarity: layers, mechanism, engineering criteria and the model as one component of a system.

https://codeflow.com.br/articles/what-is-generative-ai-and-why-did-it-only-become-viable-now/ 2026-09-08T08:00:00-03:00 2026-09-08T08:00:00-03:00 Rafael Santos

An introduction to generative AI: the three factors that made it viable, how it differs from traditional AI, prompts as control and mandatory human review.