Founder of Obvix Labs, an AI research lab building systems people can rely on. I write about what we're learning - AI safety, backend architecture, and what it takes to ship real software.
Does filling up a model's context window make it more likely to agree with you when you're wrong? I ran 80,433 trials across 6 models to find out. Context length matters less than you'd think - the conversational pattern is what really drives sycophancy.
A deep technical breakdown of Perplexity's pplx-embed-v1 and pplx-embed-context-v1 - diffusion-pretrained, INT8-native embedding models that fix RAG's oldest problem: context loss at chunk boundaries. Architecture, benchmarks, tradeoffs, and what changes for developers.
Meta's VL-JEPA predicts embeddings instead of tokens, achieving 50% parameter reduction and 2.85× faster inference. Here's how embedding prediction changes vision-language models.
A technical blueprint for architects and engineers building the next generation of customer support. Learn how to leverage LLMs, vector databases, and event-driven architecture to move from reactive queues to predictive, intelligent, and scalable support systems.
Solved a persistent MacBook M1 screen glitch by resetting the LaunchServices database using lsregister -kill, fixing system UI and flicker issues instantly after all else failed.