Everything you need to know about creating a draft on our Contributor Portal
We're excited to share some big news: We completely rebuilt the TDS website and our contributor portal. Whether you come here to read, to write, or both, here's what you can expect from our new site.
Latest
What moving a Dockerized pipeline off my laptop taught me about containers, networking, and hidden assumptions.
A practical guide to navigate hierarchies, find routes, detect cycles and calculate degrees of separation
Watermarks act at the model’s moments of doubt, and so do the safety checks that catch AI mistakes
Enterprise Document Intelligence [Vol.1 #14C] - One hour with two people, six to ten fields, and the two signals that separate a real column from one that will break a filter later
Understanding Codex hooks
A hand-written CUDA inference runtime for Vision-Language-Action robots that decides what to remember, what to forget, and when it's simply too late to think.
How DFlash trades spare compute for saved memory bandwidth, and why its gains shrink as concurrency rises
Enterprise Document Intelligence [Vol.1 #M3] - The ten positions the series argues from, and the map of every article that argues them
A lightweight runtime layer that separates instructions, evidence, memory, and tool output before they reach the model
Editor's Picks
Watermarks act at the model’s moments of doubt, and so do the safety checks that catch AI mistakes
How DFlash trades spare compute for saved memory bandwidth, and why its gains shrink as concurrency rises
LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions.
A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training
A production account of the throughput work behind a 16x jump — and the two guarantees it was never allowed to trade away
People can accept tradeoffs when they see value — but if they don’t, what happens?
The Variable Newsletter
Sorting through the good, bad, and ambiguous aspects of vibe coding
Don't miss our most-read and -shared stories of the past month
Deep Dives
A practical guide to navigate hierarchies, find routes, detect cycles and calculate degrees of separation
A hand-written CUDA inference runtime for Vision-Language-Action robots that decides what to remember, what to forget, and when it's simply too late to think.
From Kaplan-Meier curves to hazard ratios with runnable Python Code throughout
28 debugging experiments reveal that AI struggles less with complexity than with missing information.
AI systems should not automate a decision simply because they can provide a prediction. A decision system should consider how uncertain the prediction is and defer if a mistake would be costly.
Learning about Farkas' lemma and how it can inform Benders decomposition to learn from infeasibility, applied to the capacitated facility location problem.