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How DeepSeek used distillation to train its artificial intelligence model, and what it means for companies such as OpenAI

1. DeepSeek unveiled distillation technique, triggering AI and semiconductor selloffs. It challenges traditional model development. 2. Distillation slashes costs, enabling startups to build competitive AI models. This could force big tech to innovate faster. 3. Open-source strategies gain momentum over closed models. This shift may pressure incumbents like Google.

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FAQ

Why Neutral?

The disruptive AI distillation technique highlights evolving competitive dynamics but does not directly hurt Google’s diversified AI investments. Historical shifts like open-source movements have pressured incumbents without causing immediate negative price reactions.

How important is it?

The article underscores a pivotal technological trend that could reshape AI development. Though not directly about Google, increased competition via cost-effective techniques may compel strategic adaptations affecting GOOGL in the future.

Why Long Term?

While the technique is impactful, its effects require time to reshape industry norms and competitive strategies. Google’s heavy R&D and market position may buffer short-term shocks.

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