11. 1,368 AI Failures and What They Teach About Evals — Vishal Srivastava, New York Life & Tanmay Sah Vishal Srivastava and Tanmay Sah studied 1,368 incidents from a public AI incident database to ask what real failures say about how AI systems should be tested. They sort failures 10/22 17:00 ♡
12. How to Test AI Agents When No Benchmark Exists — Nathanael Weill, Air Canada Nathanael Weill leads a team building AI agents at Air Canada, where tasks are so specific there's no public benchmark and domain experts have little time to grade results. His fix 10/22 16:00 ♡
13. Why AI Writing Still Reads Like Slop — Louis-François Bouchard, Towards AI Louis-François Bouchard of Towards AI breaks down what makes AI writing feel like slop: overused words, vague generalities, saying nothing, repetition, hallucination and a voice th 10/22 15:00 ♡
14. The AI Content System Behind 200M Views — Sarah Chieng, Cerebras & Cova Lee, OpenAI Sarah Chieng (head of developer experience at Cerebras) and Cova Lee (OpenAI developer experience, formerly a full-time creator) share the agent-powered system they use to make con 10/22 07:00 ♡
15. Does Code Quality Still Matter? It Depends on This — Max Kanat-Alexander, Capital One Every senior engineer's answer is "it depends." Max Kanat-Alexander says what it actually depends on. Code quality always existed for two things: understanding a system and safely 10/22 03:01 ♡
