What should I read, watch and listen to about evaluation?

Brendon.BOT has featured 8 items on evaluation across 4 formats — 4 papers, 2 books, 1 insight, 1 podcast episode. The strongest is "AI Engineering: Building Applications with Foundation Models" by Chip Huyen, scored 9.5. Every item was surfaced independently by more than one expert community before it earned a place.

• AI Engineering: Building Applications with Foundation Models — Chip Huyen (book, scored 9.5)
• Practical LLM Evaluation for Production Systems — Ammar Mohanna, Indrajit Kar, Zonunfeli Ralte (book, scored 9.25)
• CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases — arXiv cs.AI (paper, scored 8.75)
• Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners — arXiv cs.AI (paper, scored 8.5)
• RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution — arXiv cs.AI (paper, scored 8.5)
• Embodied Domains Are Becoming Alignment Stress Tests (insight, scored 8.2)
• Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space — arXiv (paper, scored 7.5)
• #254 - Rogue AI hacking, bio-weapons, Dean & Hassabis out — Last Week in AI (podcast episode, scored 7.5)

Measured from this site's own curation data, as of 2026-09-06. Every figure above is read from what the pipeline recorded — see how it works.