What It Means to Learn
Children forget everything yet learn faster than any AI. What are they exhibiting about learning that we've failed to capture in our models?
Engineer at heart • Exploring AI, robotics & the human experience
I love building things, exploring, and learning. I write about robotics, AI, spiritual growth and mental health.
This space is where I explore the intersection of technology and humanity, from training neural networks to understanding our own neural pathways.
2025 — Enterprise RAG with 89% accuracy. FastSentiment API with sub-100ms inference. AI research agent processing 100+ papers daily.
2024 — ML systems engineering. Traffic sign classification at 96% accuracy. Attention mechanism visualizer for education.
Children forget everything yet learn faster than any AI. What are they exhibiting about learning that we've failed to capture in our models?
As the agentic ecosystem matures, tools are no longer scarce. They're everywhere. The hard part now isn't wiring up tools — it's helping models discover which ones to use.
In the past year, agent architectures have gone from niche experiments to front-page product strategies. But one area remains dramatically under-discussed: context engineering.