OpenAI-led consortium seeks to address AI processing bottlenecks

An OpenAI-led consortium of tech giants including AMD, Broadcom, Intel, Microsoft, and Nvidia have unveiled a new networking protocol designed to address network congestion, a problem that has always existed but has been exacerbated by the massive amounts of data required for AI processing.

The new protocol, called Multipath Reliable Connection (MRC), is for training models on 100,000+ GPUs by…

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Bots in translation: Can AI really fix SIEM rule sprawl across vendors?

Enterprises migrating between SIEM platforms often have to manually rewrite detection rules because vendors such as Splunk, Microsoft Sentinel, IBM QRadar, and Google Chronicle use different query languages and data models.

Researchers now say AI may be able to automate much of that work, though security experts remain divided over whether the problem really requires AI at all.

Researchers from…

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The foundation problem: How a lack of accountability is destroying cybersecurity

A tale of two industries

The United States Navy takes 18-year-olds fresh out of high school and trains them to operate nuclear reactors in 18 months. These aren’t college graduates. They’re not experienced professionals. They’re young people with the right potential who go through the most rigorous, structured program in the military that transforms them into personnel trusted with some of…

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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…

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