01 Check what a paper’s result supports
“The held-out benchmark tests generalization: it is never shown to the AAR” (opens the source)
Check which evaluation items overlap with training before making a generalization claim.
Member of Technical Staff interview prep for AI research roles
Explain what an experiment shows, what it leaves open and which result would change your mind.
Practice a research discussionWhat companies say they’re looking for
02 Isolate the effect of each training change
“trained on the same base model and underlying data, but reasons in English.” (opens the source)
Keep the base model, budget and scoring fixed while you change one factor.
03 Trace the source of a replication gap
Apply both scoring rules to the saved outputs and see what follows the rule.
04 Choose an experiment that answers the question
Use the remaining budget for a comparison that isolates your question.
“You make clear what changed and why the evidence supports it” (opens the source)
Explain what the pilot shows and what the next runs would test.
05 Explain the result within its limits
Keep the conclusion within the benchmark, interval and tolerance you set.
Show how the final comparison supports the paper’s specific claim.
Sources
- Chen Yueh-Han, Jiaxin Wen and Jan Hendrik Kirchner, Paper coauthors, work done during the Anthropic Fellows Program, at the time. Alignment Science Blog, “Automated Researchers Can Mitigate Well-Characterized Alignment Failures”, Undated. Open the source. Checked against the published text.
- Mehrnaz Mofakhami, Julia Kreutzer, Madeline Smith and Marzieh Fadaee, Article coauthors, at the time. Cohere, “Multilingual Bridges: How Data Mixing Unlocks In-Language Reasoning”, Oct 6, 2026. Open the source. Checked against the published text.
- Horace He, Author, in collaboration with others at Thinking Machines, at the time. Thinking Machines Lab, “Defeating Nondeterminism in LLM Inference”, Sep 10, 2025. Open the source. Checked against the published text.
- The Anthropic Institute, Research and engineering account, at the time. The Anthropic Institute, “When AI builds itself”, Undated. Open the source. Checked against the published text.
- Recursive Superintelligence Careers, Member of Technical Staff - Research posting, at the time. Recursive Superintelligence Careers, “Member of Technical Staff - Research”, Oct 20, 2026. Open the source. Checked against the published text.
- Farseen Shaikh, Author, Cohere Labs Community, at the time. Cohere Labs Community Blog, “Inside Tiny Aya: What an SAE Sees in a Model Built for 70+ Languages”, Jul 7, 2026. Open the source. Checked against the published text.
- Axiom Math Careers, Member of Technical Staff, full-time posting, at the time. Axiom Math Careers, “Member of Technical Staff”, Apr 3, 2026. Open the source. Checked against the published text.
Last reviewed Nov 11, 2026