Generative ai articles

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Big Tech needs to generate $600 billion in annual revenue to justify AI hardware expenditure

The big picture: The tech industry is riding a new high amid a frenzy fueled by AI. Big Tech companies have been plowing huge sums to build out the necessary infrastructure to meet what they perceive demand will be for these products in the coming years. One analyst warns however that the industry needs to stop and consider whether the actual revenue generated by AI will be enough to support these investments.
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Google Gemini is not as good at analysis as its hype says, other AI models also struggle

The big picture: If there's one thing that generative AI is supposed to be good at, it's analyzing the written word. However, two studies suggest that this ability may have been overhyped. One study demonstrates that Gen AI struggles with understanding long-form books, while another shows that these models find answering questions about videos challenging. This is something companies should consider as they augment their workforce with Gen AI.
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Company cuts costs by replacing 60-strong writing team with AI

"I contributed to a lot of the garbage that's filling the internet and destroying it"
A hot potato: CEOs, bosses, and the those who make the technology love to assure people that artificial intelligence isn't going to replace everyone's jobs; it will merely augment them – working alongside humans to make life easier. Yet we keep hearing stories like the one about a writer whose employer fired his 60-person team and replaced them with an AI.
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Dell showcases hybrid AI approach, merging cloud and on-premises solutions

Forward-looking: Getting companies interested in deploying generative AI applications is no longer a challenge for tech suppliers. Figuring out how to best use the technology, however, is still difficult for many of these business customers. One new technique that Dell discussed at its Dell Tech World event in Las Vegas is the concept of hybrid AI, where some of the work happens in the cloud, but some is done on premises within an organization's data centers.