The Connectivity Paradox Holding Back Enterprise Agentic AI

AI agents have become the primary driver of enterprise productivity. According to a recent report by Salesforce, organizations currently use an average of 12 agents, with that number expected to climb 67% within the next two years.  Currently, 83% of organizations report that most or all teams and functions have adopted AI agents. However, business…

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Single prompt breaks AI safety in 15 major language models

A single benign-sounding prompt can systematically strip safety guardrails from major language and image models, raising fresh questions about the durability of AI alignment when models are customized for enterprise use, according to Microsoft research. The technique, dubbed GRP-Obliteration, weaponizes a common AI training method called Group Relative Policy Optimization, normally used to make models…

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10 essential release criteria for launching AI agents

NASA’s launch-a-rocket activity includes 490 launch-readiness criteria to ensure that all ground and flight systems are prepared for launch. Having a launch-readiness checklist ensures that all operational and safety systems are ready, and validations begin long before the countdown on the launchpad. The most advanced devops teams automate their release-readiness checklists in advanced CI/CD pipelines….

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How to advance a tech career without managing

Technical mastery once guaranteed advancement. For engineers, data scientists, designers, and other experts, the career ladder used to be clear: learn deeply, deliver reliably, and get promoted. But at some point, progress begins to feel less like learning new tools and more like learning new ways to influence. Every senior individual contributor eventually faces the…

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AI hardware too expensive? ‘Just rent it,’ cloud providers say

Whenever a tech titan makes a sweeping statement about the future, industry professionals and even everyday users listen with both curiosity and skepticism. This was the case after Jeff Bezos recently said that in the future, no one will own a personal computer. Instead, we will rent computational power from centralized data centers. He likened…

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