Ben Redmond

Spacetime as a Neural Network

In 2021, physicist Lee Smolin, Jaron Lanier, and others published a paper with a bold claim: write Einstein's general relativity in a specific form, and the equations governing spacetime curvature correspond to the equations of a Restricted Boltzmann Machine. The implication: the very structure of spacetime itself might be fundamentally learnable.

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One Agent Isn't Enough

Agentic coding has a problem - variance. What if single-agent runs are leaving performance on the table by design? Due to the stochastic nature of LLMs, each agent run has slight variations. Even with the same context, one session might land near the peak, another somewhere in the middle.

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Intelligence Without Information Is Squandered

Claude confidently pointed me to a code path in MongoDB's massive infrastructure codebase. I spent an hour investigating it before realizing something was off. The path worked, technically. But there were better approaches - ones the agent had completely missed.

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The New Math of Building with AI

The sixteenth draft of my Chinese dictionary lies abandoned in a folder deep within my repo. Two weeks of work, genuinely good code, completely functional. Pre-AI me would have shipped it just to justify the time spent. Post-AI me deleted it and started building something better. That folder of abandoned ideas tells the real story of how AI changes everything.

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Ben Redmond - AI Coding & Product Building