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Can AI actually automate jobs? @Scale_AI and @ai_risks are launching the Remote Labor Index (RLI), the first benchmark and public leaderboard that test how well AI agents can complete real, paid freelance work in domains like software engineering, design, architecture, data…
There’s no magic wand for making AI work. Scale CEO @jdroege joined @richardquest on @cnni to share what it really takes:
🔄RLHF → RLVR → Rubrics → OnlineRubrics 👤 Human feedback = noisy & coarse 🧮 Verifiable rewards = too narrow 📋 Static rubrics = rigid, easy to hack, miss emergent behaviors 💡We introduce OnlineRubrics: elicited rubrics that evolve as models train. arxiv.org/abs/2510.07284
Sat down with @lennysan to talk about where AI is headed and how we’re making it work for model builders, enterprises and governments. Also went down memory lane about my time at Uber Eats. 🙂
“I think one of the misunderstandings is that AI is this magic wand or it can solve all problems, and that’s not true today. But there is a ton of value when you get it right.” Our CEO @jdroege shared his AI success framework with CNN's @claresduffy. cnn.com/2025/09/30/tec…
New @Scale_AI paper! The culprit behind reward hacking? We trace it to misspecification in high-reward tail. Our fix: rubric-based rewards to tell “excellent” responses apart from “great.” The result: Less hacking, stronger post-training! arxiv.org/pdf/2509.21500
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