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"The cautious rollout reflects growing concern within the..."

"Princess Afro Consulting has launched 'AI Kasuhara Guard', which uses AI to detect customer harassment from business partners and customers, leaving conversational text to ensure visibility and evidence of customer situations."

"Hi I'm currently experimenting with Claude and I want to create a LQA."

"本サービスは、モデルサイズ、同時利用人数、コンテキスト長、応答性能などの条件を踏まえ、PoC環境から本番導入を見据えた構成設計と検証観点を整理し、レポートとして提示するものです。"

"KnoxIQ has been designed to transform raw vulnerability findings into validated, prioritized and developer-ready intelligence."

"This application aims to quantify the 'degree of clutter' from photos of a room and record it as a score. We aim to quantify the subjective impression that people feel like 'it's indeed messy' as naturally as possible."

"In the current evaluation criteria, KH is described as a self-controlled, high-density, long-term sustainable structural intelligence, which is outside the distribution of the general practical intelligence of humankind."

"Geospatial AI adds the missing “where,” improving decisions on risk, operations, resilience, and growth."

"To bridge this gap, enterprises urgently need to build a new evaluation system that can accurately capture the unique value of AI and adapt to business strategies, providing dynamic guidance throughout the entire lifecycle of AI applications."

"AI has led some employers like L'Oréal to return to in-person assessments during recruiting, as senior HR leaders see a steep rise in AI-generated applications."

"How to catch them? And do you care if they look suspicious but the structure is on the point? Can we over look? Or when its fine to over look?"

"Here, by combining educational data mining and psychometric theory, we introduce a statistically principled approach for identifying items on which humans and LLMs show systematic response differences..."

""What our algorithm does is generate thousands of pairs of semi-realistic photos of what a building looks like on the top and from the ground," said Rongjun Qin, co-author of the study and a professor of civil, environmental and geodetic engineering at The Ohio State University."

"According to a survey conducted by SailPoint, 80% of organizations are already facing the risks of 'agent-type AI'."

"Early results suggest it can distinguish safer motorists from those more prone to serious errors."

"Sudden and unexpected, landslides and avalanches claim thousands of lives each year and cause billions of dollars in damage. What if we could see them coming?"

"How AI is helping geologists identify thousands of slopes around the world at high risk of slipping by analyzing data from satellites and ground-based sensors"

"突破静态评估局限，构建动态漏洞治理体系"

"The article's core argument is that, “In the future AI utilization, it will be important to relativize numbers, not to absolutize them.”"

"Instead of focusing on 'making answers', the AI leans towards 'avoiding accidents/refusing'."

"The article emphasizes the importance of defining evaluation axes upfront to ensure that the Judge model does not just return a vague 'seems good' response."

"The value of a PM in 2026 is in dedicating all resources to 'responsibility' and 'emotional care' that AI cannot fill."

"This shift in thinking led directly to the idea for personal development."

"This article shares the author's approach to the question, which they arrived at: evaluating Agent Skills by looking at their actions, similar to competency evaluation in human resource management."

"Our results demonstrate that the evolved GP models consistently achieve strong alignment between the predictions and human visual preferences."

"The book helped organize the feeling of shifting the focus of test engineers from 'execution' to 'design and decision making'."

"The point of the blackmail exercise was to have something to describe to policymakers—results that are visceral enough to land with people, and make misalignment risk actually salient in practice for people who had never thought about it before."

"Got a Hacker Rank jupyter notebook question today about training an machine learning model using the given train and test set."

"Judging by the commit history, it appears this was indeed made by Karpathy, though even if it wasn't, I think it's interesting to think about, and a cool visualization."

"By assigning these 'ambiguous evaluations' to the Claude API, a scoring engine can be created that cannot be made with rules."