About David Valencia
Making sense of how machines make sense.
About
My work began in databases, cleaning dirty data and restoring trust in the data that drives decisions. It taught me the importance of structure and design.
That principle followed me through every stage of my career - web dev, marketing tech, automations, and analytics. Different disciplines, same pattern: when information loses its connections, meaning collapses.
Now my focus is the philosophy of machine reasoning for how large language models form understanding, how probability begins to resemble intuition, and what that says about how humans think.
From Systems to Thought
I founded AIFDS.org as a place to explore how structured data influences the logic of AI. It’s not a lab for building models, it’s a lab for interpreting them.
My work asks what happens when context becomes a computational resource. How do models reinforce it? How does it shape creativity, perception, or the illusion of understanding?
This isn’t technical research. It’s philosophy grounded in observation using data and experience to explore what “reasoning” means in systems that don’t think but behave as if they do.
Current Work
- Writing essays that connect model behavior with classical questions about meaning, reasoning, and truth.
- Designing small experiments that test how context and memory influence model “thought.”
- Advising teams on how machine reasoning changes the way we build, communicate, and interpret information.