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How DeepSeek Is Reshaping AI—Plagiarism Claims, Efficiency Hacks & Industry Disruption
DeepSeek’s bold AI approach is shaking up the industry. From efficiency hacks to plagiarism claims, here’s what you need to know.


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AI’s Tipping Point: DeepSeek’s Disruption and the Ethics of Innovation
This past week, DeepSeek’s arrival—and its seismic implications—continued to dominate the AI world. But as excitement mounts, a troubling question has emerged: Did DeepSeek’s team cheat?
On the surface, a cutting-edge model built for “just $6 million” that rivals, or even surpasses, the industry’s best is a paradigm shift. But what if DeepSeek quietly leveraged illicitly obtained Nvidia chips and OpenAI’s model? Emerging evidence suggests this may not be mere speculation.
That said, does such cheating even matter? Regardless of how DeepSeek was built, it’s a game-changer. AI costs are plummeting and democratization is accelerating. If “good enough” open models can run locally—on personal laptops, no less—solving the vast majority of use cases, we may have just crossed into a new era. So has DeepSeek’s arrival burst the AI bubble or will it make it bigger? We’ll soon find out.
Below are a few notable stories on DeepSeek, along with the latest update at the intersection of AI and work.
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