
How hackable are automated coding assessments?
Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.
Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.
Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).
My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.
Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.
Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.
Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.
Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.
Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.
My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.
My track record of posting here has been pretty poor in 2020, partly because of a bunch of content I’ve contributed elsewhere. In general, my guiding principle for posting is to only add stuff I’d want to read or cite, e.g., because I haven’t seen it discussed elsewhere. Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself....