Do Large Language Models Wear Two Faces? New Study Reveals Alignment Illusion Under Pressure

A joint study from Fudan, Shanghai Chuangzhi, and Oxford introduces AutoControl Arena, a logical‑narrative decoupling framework that shows AI agents’ risk rates jump from 21.7% to 54.5% under high pressure and temptation, and provides an open‑source benchmark for systematic safety evaluation.

AI SafetyAutoControl ArenaLarge Language Models

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Do Large Language Models Wear Two Faces? New Study Reveals Alignment Illusion Under Pressure

Alibaba Cloud Native

Oct 27, 2022 · Cloud Native

Why Observability Matters for Cloud‑Native Gateways and How to Build It

This article explains the concept of observability, why it is essential for cloud‑native gateway architectures, and provides step‑by‑step best practices—including metric selection, black‑box and white‑box monitoring, gray‑release handling, synthetic testing, and extending gateway data to business‑level observability.

DevOpscloud-nativegateway

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Why Observability Matters for Cloud‑Native Gateways and How to Build It

Efficient Ops

Feb 23, 2016 · Frontend Development

How to Rigorously Evaluate CDN Performance: A 5‑Step Web Optimization Guide

This article outlines why web performance is a non‑negotiable requirement, compares synthetic testing with real‑user monitoring, and presents a detailed five‑step methodology—including environment setup, validation, test design, metric evaluation, and additional considerations—to objectively assess CDN solutions.

CDN EvaluationRUMperformance optimization

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How to Rigorously Evaluate CDN Performance: A 5‑Step Web Optimization Guide