Agentic Entropy-Balanced Policy Optimization
SAFETY
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Meta Reveals RL Scaling Challenges
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Today, everyone talks about scaling models. But Meta just proved we’ve been ignoring the harder problem scaling reinforcement learning compute. Turns out, most RL methods don’t scale like pretraining. They plateau early burning millions in compute for almost no gain. ScaleRL
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ESG 2026: Data-Driven Accountability Replaces Greenwashing
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5 ESG Trends That Will Shape Business in 2026 #ESG faces a critical turning point in 2026 as political resistance collides with stricter #regulations, forcing companies to replace greenwashing with data-driven #accountability. From #AI #ethics integration to circular economy
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RiskPO: Risk-Based Policy Optimization for LLM Post-Training
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#PapersAccepted by Jiqizhixin
Our report: https://
mp.weixin.qq.com/s/9TbUIT6ed_wO
viVU0GuLqg
… RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training Peking University
Paper: https://
arxiv.org/abs/2510.00911
v1
…
Code: https://
github.com/RTkenny/RiskPO -
Social Engineering Malware and AI Cybersecurity Future
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Social engineering, malware and future of cybersecurity in AI https://
search.app/fZkqw #SocialEngineering #CyberSecurity #AI #artificial_intelligence @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo @Ym78200 -
No prompt storage or sharing with providers
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we don’t share/ store any prompts nor do any of our providers
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Trusted Scale: Data Quality Through Development Stages
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Our Trusted Scale philosophy designs data quality into every stage of development — balancing two priorities that often appear in tension: Rigorous quality assurance Operational efficiency
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Rubrics: Framework for Structured LLM Evaluation and Dataset Quality
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Rubrics are the framework that make this possible. They connect human insight, LLM evaluation, and measurable outcomes — turning expert judgment into structured, repeatable metrics that drive confidence in every dataset.
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AI Adoption Consequences: From Content Platforms to AI Systems
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first AI came for stackoverflow and i did not speak out due to their unpleasant moderators then AI came for quora and i did not speak out because i never use quora then AI came for Wikipedia and i did not speak out because i did not care then AI came for AI
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Perplexity Comet Automates Coursera Modules with AI Certificates
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This is wild.
— CHOI (@arrakis_ai) 16 octobre 2025
Perplexity Comet just automated multiple browser tabs to complete entire Coursera modules — quizzes, assignments, and all — and walked away with real certificates.
100% AI. No clicks. No humans. 🤯 pic.twitter.com/1O2usbnMC1This is wild. Perplexity Comet just automated multiple browser tabs to complete entire Coursera modules — quizzes, assignments, and all — and walked away with real certificates. 100% AI. No clicks. No humans.