Fun With AI Learning Exercise: Make a Game
A one-session learning exercise built around Emoji Pong: imagine, make, play, notice, and revise.
Read articleTODD KELSEY, PhD · INDEPENDENT RESEARCHER
Research for a world
learning to live with AI.
I study durable memory, human agency, education, and the economic transition created by increasingly capable AI systems.
Explore the work ↓CURRENT THESIS
“GPU context is a scratchpad,
not a filing cabinet.”
Our knowledge should outlive any model, vendor, or interface. The next generation of AI systems needs memory that is durable, portable, inspectable, and owned by the people who create it.
WRITING ARCHIVE
Articles, preserved independently.
40 pieces on AI, education, work, and human agency, available here for durable access.
ChatGPT vs. Gemini: The Race Is No Longer Just About the Model
ChatGPT increasingly makes the AI conversation part of the workspace. Gemini increasingly brings AI into the Google information environment. The race now spans memory, autonomy, applications, artifacts, intelligence, and price.
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Agent Wars VI: Ping Pong — A Panel of Expertise with Two AIs
A second AI can send the ball back. Three rounds of cross-model critique made the economics argument narrower, more honest, and ready for a real-world test.
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Ongoing programs, working hypotheses,
and prototypes.
01
RESEARCH PROGRAM
Memory Atlas
A model-independent memory substrate for people and agents: durable sources, hybrid retrieval, clear provenance, and context assembled for the task at hand.
Store memory once. Retrieve it intelligently.
Active research
02
ECONOMIC RESEARCH
The Hidden Labor Shock
Tracking the gap between rapid AI capability gains and the slower institutional signals—employment, tax receipts, organizational design—that reveal structural change.
The shock can arrive before the statistics admit it.
Working series
03
EDUCATION DESIGN
Applied AI Education
Curricula and learning systems that move beyond tool fluency toward judgment, orchestration, verification, and durable intellectual independence.
Teach people to direct systems, not merely prompt them.
Field notes
04
PROTOTYPE
Open Research Ledger
An evidentiary layer for decisions: sources, assumptions, tool and model versions, uncertainty, revisions, and the path from evidence to action.
Reasoning should leave a trail.
In development
ABOUT
Technology is most useful when it enlarges human agency.
Todd Kelsey is a researcher and educator working at the intersection of artificial intelligence, technical communication, institutional change, and human-centered systems.
After more than a decade in higher education—including building a four-course Certificate in Applied AI—his current work focuses on the infrastructure and public ideas needed for people to retain continuity, authorship, and judgment in an AI-mediated world.
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