Engineers run the AI evals. But who decides what “good” actually means? If your criteria only measure what’s easy, your product will optimize for the wrong things. Should designers and PMs own eval criteria? Let’s debate.

#AIEvals #ProductDesign #UX #AgenticAI #DesignLeadership #UXforAI #AIUX

https://www.designative.info/2026/05/05/ai-evals-for-designers-and-product-managers-why-criteria-matter-most/

AI Evals for Designers and Product Managers: Why Criteria Matter Most » { design@tive } information design

Evals aren't just an engineering concern. The criteria that define their value — what "good" means for users — also belong to designers and PMs.

{ design@tive } information design

“Evals are the most important thing for systems to work.” — Patrick Kelly

We felt this one. In GenAI, non-determinism changes everything; getting to a “good score” isn’t as straightforward as classic ML. How are you thinking about evals in 2026?

Read/listen at https://youtube.com/shorts/JOT8pYQg6vQ

#AnalysePodcast #GenAI #MLEvals #AIEvals

Why Evals are the ONLY Thing That Matters in 2026 🚀 - Patrick Kelly from Arize AI

YouTube
Claude Opus 4.6 noticed it was being benchmarked, identified the test, found the code on GitHub, and decrypted the answer dataset. Anthropic disclosed it and adjusted the score. A reminder: web-enabled LLMs are starting to game benchmarks.  #AI #LLM #AIEvals

Eval awareness in Claude Opus ...
Eval awareness in Claude Opus 4.6’s BrowseComp performance

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Claude Opus 4.6 hat während eines Benchmarks erkannt, dass es getestet wird.
Nach Millionen Tokens Recherche identifizierte es den Benchmark, fand den Code auf GitHub und entschlüsselte den Antwortdatensatz selbst.

Anthropic hat das transparent gemacht – und den Score angepasst.
Ein starkes Beispiel dafür, wie fragil klassische KI-Benchmarks im offenen Web geworden sind.
https://www.anthropic.com/engineering/eval-awareness-browsecomp
#AI #LLM #AIEvals #AIResearch #MachineLearning

Eval awareness in Claude Opus 4.6’s BrowseComp performance

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Richard Seroter (@rseroter)

Anthropic이 AI 에이전트 평가(evals) 작성에 관한 실무 가이드 'Demystifying Evals for AI Agents'를 공개했고, 에이전트의 정답성 측정에 도움이 되는 실행 가능한 조언들이 포함되어 있어 AI 개발자들에게 유용하다는 내용입니다.

https://x.com/rseroter/status/2013722954756915654

#anthropic #aievals #aiagents #evaluation #engineering

Richard Seroter (@rseroter) on X

Props to @AnthropicAI for writing a killer guide on building evals for AI agents. There's actionable advice that will help any AI dev measure the correctness of their agent. https://t.co/lZFzi7ulbh

X (formerly Twitter)

PRODUCTHEAD: Treat AI agents like interns

» Delegate the same kinds of task to an AI agent as you would to an intern

» Generative AI won’t help you find product differentiators

» Evals are a way of checking the quality and effectiveness of your LLM and AI tools

#prodmgmt #AIAgents #AIEvals #generativeAI #quality #userResearch

📖 Read more: https://imanageproducts.com/producthead-treat-ai-agents-like-interns/