7 Dispatches from the engineering frontier — Deep dives, insights, and explorations
When Meta dropped the weights for Segment Anything 2 (SAM2), the computer vision community finally got a tool that treats video segmentation like a first-class citizen. Unlike t...
I used to spend hours context-switching between my IDE, documentation, and various LLM chat windows. It was the standard developer tax—copy-pasting snippets, manually updating t...
We’ve reached a point where standard benchmarks like MMLU or GSM8K have become effectively useless. If you’re still basing your model selection on those static leaderboards, you...
By mid-2026, text-only RAG feels like trying to navigate a city with only a map but no street signs. We have moved past simple PDF parsing. Today, the real value in enterprise d...
Running heavy AI models in the browser used to be a pipe dream, usually relegated to clunky JavaScript shims that choked on anything larger than a basic linear regression. But w...
Building a Retrieval-Augmented Generation (RAG) pipeline is the easy part. Making sure that pipeline isn’t hallucinating or giving users irrelevant fluff is where most engineeri...
When I first started deploying LLMs for enterprise clients, the default move was always "get the biggest model available." If GPT-4 could do it, why bother with anything else? B...