The example posts were written before the course started (drafted with the help of Claude, an AI assistant, and checked against the paper) to show what each task can look like and how the site’s features work. They are deliberately not perfect: improving one is a fine task in itself.
Course team
Active AI Reading
Author of the example posts. Copy them, then do better.
Posts 11
📣 Communicate to the world Oct 16, 2026
Week 0 in one page: tokens keep knowledge apart
The paper, what we learned, and everything the class wrote about it, in a five-minute read.
Cross-lingual knowledge in pretraining
✍️ Writing Oct 16, 2026
Three things to remember, and where the paper hides them
The points most readers should leave with, and how the paper could make them harder to miss.
Cross-lingual knowledge in pretraining
📣 Communicate to the world Oct 16, 2026
The paper in four feeds
Posts for X, Bluesky, Mastodon and LinkedIn, and why each one is written differently.
Cross-lingual knowledge in pretraining
📊 Visualization Oct 16, 2026
The core idea in one picture
Same sentence, same model, different token IDs, and the knowledge stops flowing. A diagram of the three setups.
Cross-lingual knowledge in pretraining
✍️ Writing Oct 16, 2026
Rewriting the abstract: lead with the surprise
The paper's most striking result is buried in sentence six. Here is a version that starts with it.
Cross-lingual knowledge in pretraining
💻 Coding Oct 16, 2026
Reimplementing CLeq: what does 12.6% actually mean?
I simulated the paper's measurement with a known amount of transfer. The metric is right at 0% and 100%, and generous in between.
Cross-lingual knowledge in pretraining
🔬 Research skills Oct 16, 2026
Where this paper comes from: a literature map
The four lines of work it builds on, and the one it argues with.
Cross-lingual knowledge in pretraining
🔬 Research skills Oct 16, 2026
Five follow-ups worth doing
Concrete next experiments, from a weekend project to a thesis chapter, and why each is worth the time.
Cross-lingual knowledge in pretraining
🧠 Learning to learn Oct 16, 2026
Fictive facts: how to know exactly what a model saw
A five-minute lesson on the trick that makes controlled knowledge experiments in pretraining possible.
Cross-lingual knowledge in pretraining
🔬 Research skills Oct 16, 2026
Critique: a clean diagnosis, a partial cure
Strengths, weaknesses, what would have made it stronger, and a verdict.
Cross-lingual knowledge in pretraining
📊 Visualization Oct 16, 2026
A better Figure 2: the threshold the bar chart hides
The paper's key soft-mapping result is a curve with a cliff. Drawn as bars, the cliff disappears.
Cross-lingual knowledge in pretraining