Model Updates · Research · Benchmarks · Security · Enterprise AI · Fundamentals
Keeping up with machine learning, one mechanism at a time.
ResearchPaper7 min
A tiny, invisible change can make an image model see a cat where any person sees a dog. The 2019 MIT paper 'Adversarial Examples Are Not Bugs, They Are Features', explained without the maths: what the researchers found, the experiment that makes the point, and why it matters for anyone who relies on AI.
ResearchDeep dive6 min
Google DeepMind's Genie 4 puts Gemini inside the simulation loop: planning, checking frames and steering the world while Genie renders it. What Genie 4 does, how the Gemini models split the work with it, and why that matters for training and testing robots.
Enterprise AIDeep dive10 min
A technical look at the July 2026 update to Microsoft Entra Internet Access and Private Access: Shadow MCP visibility, BYOD for Private Access, PAC-based browser access, network DLP for AI prompts and agent network controls. What works, what is still preview, and what TLS inspection demands from your PKI and your mobile fleet.
1FundamentalsExplainer18 min
Why a model that can explain quantum tunnelling cannot count the letters in strawberry, why long conversations get slow and expensive, and why Dutch costs more than English. It all comes back to the very first thing that happens to your text.
2FundamentalsNews2 min
A plain-language guide to what tokens are and why they matter in AI language processing.
3FundamentalsDeep dive14 min
A deep dive into Srivastava et al. (2014) — the mechanism, the arithmetic behind weight scaling, what the benchmarks actually showed, and the tuning heuristics that still hold up.
4FundamentalsDeep dive9 min
NSFT cuts each expert in a Mixture-of-Experts model into channel groups and trains only the ones that matter — beating LoRA and ESFT on accuracy per trained parameter, and forgetting less along the way.
A technique for stripping a model's refusals went from a research curiosity to a business, and then agents started doing similar things to each other. Four posts, in the order they happened — two quick news items and the two deep dives that explain what was actually going on underneath them.