How hackable are automated coding assessments?
Exploring the hackability of speed-based coding tests, using CodeSignal’s Industry Coding Framework as a case study.
Remaining relevant as a small language model
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).
ChatGPT is transformative AI
My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it’s only the beginning.
Causal Machine Learning is off to a good start, despite some issues
Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.
The mission matters: Moving to climate tech as a data scientist
Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.
Building useful machine learning tools keeps getting easier: A fish ID case study
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.
Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials
Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.
Use your human brain to avoid artificial intelligence disasters
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.
Migrating from WordPress.com to Hugo on GitHub + Cloudflare
My reasons for switching from WordPress.com to Hugo on GitHub + Cloudflare, along with a summary of the solution components and migration process.
Some highlights from 2020
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....