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Bookmark: DeepSeek is bad for Silicon Valley. But it might be great for you.

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DeepSeek is bad for Silicon Valley. But it might be great for you.

DeepSeek, a Chinese startup, has disrupted the tech industry by unveiling an open-source AI model, DeepSeek-R1. This model rivals OpenAI’s o1 in performance with significantly lower resource expenditure. While companies like OpenAI, Google, and Microsoft have spent billions developing AI, DeepSeek reportedly trained its predecessor for under $6 million. Their model’s appeal lies in offering powerful AI capabilities at a fraction of the cost, providing affordable access to businesses and developers. However, it’s not entirely open-source, as the training data and code aren’t fully disclosed.

The debut of DeepSeek-R1 impacted major tech companies, diminishing their stock values, particularly harming NVIDIA. Despite US efforts to curb China’s AI advancements through export restrictions, Chinese companies like DeepSeek are progressing rapidly, demonstrating that this technological race isn’t zero-sum.

DeepSeek’s approach raises questions about privacy and data handling, particularly with its compliance with Chinese censorship laws. Although it challenges the Silicon Valley status quo, concerns remain regarding the implications of a Chinese company offering such models openly, potentially affecting US national security. Nonetheless, DeepSeek illustrates the feasibility of building advanced AI on open-source principles, offering a glimpse into a more democratized AI future.


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About Me

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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