Lateral Workshop Applications: A Case Study

According to LessWrong, the Lateral Workshop received over seven hundred applications for its first cohort—a three-day program for experienced professionals pivoting to AI safety work. The organizers were so impressed that they expanded the program. When analyzing applications, a clear pattern emerged: candidates who demonstrated deep understanding of AI safety priorities, authentic reasoning, and transparent causal logic stood out. Conversely, applications generated by large language models consistently underperformed. LessWrong reports that LLM-written text flattened reasoning styles across applicants, obscuring individual insights. The takeaway for prospective applicants is clear: in a field built on original thinking about AI risks, letting a machine write your application undercuts your case.

Listen to this story

Hear this and more stories in a personalized audio briefing.

Open The Chonkerton