Explainers, field guides, and videos from our team. We turn dense AI research and hard technical topics into something a non-specialist can actually follow.
Field guides, series, and research you can read at your own pace.
A field guide to how modern AI systems are built, trained, shrunk, and run: parameters, pre-training, post-training, parameter-efficient methods, quantization, retrieval, and inference, and how each stage maps to real hardware and real cost.
A careers series on the jobs in AI: the 13 roles across 5 tiers, what they really do, what they pay, and how to break in, plus one learning path per role. The written companion to the video series.
Eleven security research articles by Zubair Ashraf from his years on IBM’s X-Force team: Android malware teardowns, memory forensics, vulnerability analysis, and threat hunting. Originally published on IBM SecurityIntelligence (2013–2015), archived and republished here.
Short video series that walk through the same material on screen. Pick a series.
How modern AI is built, trained, shrunk, and run, one stage at a time.
A closer look at the machinery inside a language model, no math wall.
How the labs work, how models differ, and where the value is.
The jobs in AI: the roles, what they really do, what they pay, and how to break in.