By Cesar Zaldivar
Carl Sagan once warned that when almost no one understands science and technology, we create “a combustible mixture of ignorance and power” — a prescription for disaster. That warning feels more urgent than ever in the age of artificial intelligence.
Artificial intelligence is no longer a distant concept from science fiction — it is the technology shaping how we work, create, and make decisions every day. This portfolio documents my month-long journey studying the history, theory, and practical applications of AI’s history and platforms at Houston Community College, tracing its roots from a single summer workshop at Dartmouth in 1956 to the large-scale models and real-time systems that define the field today.
Each page, feature, and module represents a different lens: historical context, hands-on experimentation, critical analysis, and creative application. Whether you are a fellow student, a curious visitor, or a future employer, I invite you to explore the work and the thinking behind it.
The three pillars that power every AI breakthrough: Data, Algorithms, and Compute.
View PageWhere it all began — the 1956 summer workshop that gave AI its name.
View ProjectHow a machine taught itself to play Go better than any human — with no human input.
View ProjectHow light becomes art, and how a grid of squares changed the way we share information.
View Analysis175 billion parameters, few-shot learning, and the blurring line between real and generated.
Read EssayDo ascending or descending neuron layers train better? The results were surprising.
View AnalysisA speculative essay on the future directions of AI research and its potential impact on society.
Read EssayDogs labeled as faces, electrical parts as not — and a 100% accuracy score that taught a bigger lesson.
View Case StudyA powerful AI platform, a broken demo, and a lesson in why user experience matters.
View ProjectSiri searched. Rufus tried. Google Assistant had opinions.
View ExplorationAI isn't reading your mind — it's reading your patterns.
View AnalysisFrom Dartmouth in 1956 to neural networks in 2026 — what a semester of AI history taught me.
View SummaryA brief introduction to who I am, my background, and my interests in AI and technology.
View Page