Topology of Thought
How curiosity, physics, and looking inside neural networks revealed something unexpected about how computation organizes itself
Discover insights, tutorials, and thoughts on technology, homelab, and development.
How curiosity, physics, and looking inside neural networks revealed something unexpected about how computation organizes itself
How we solved all 3 backdoored DeepSeek V3 models using SVD weight analysis, persistent homology, multi-model deliberation, and 5,000+ indexed probes
Using agreement among frontier models (Claude, GPT-5, Gemini) as a training signal to build AI that's genuinely capable, not just benchmark-optimized
I stitched together Temporal, Mattermost, and three CLI agents to turn a paper into a shipped repo.
An overview of my ongoing research exploring transformer injectivity, self-improving models, and high-performance AI on an RTX 3090
How periodic sparse attention achieves O(n) complexity while maintaining model quality