Can Deepseek Strategy Really Deliver on Its Promises? - The Daily Scroll

Whether DeepSeek can deliveronitspromises or replace hardware costs remains uncertain and far from an immediate reality. For Apple, the focus should remain on boosting lackluster iPhone sales and presenting a concrete plan to compete with hyperscalers in AI applications. This goes deeper than just celebration. By positioning DeepSeek as a challenge to Western dominance, Beijing seeks to expand its influence in the international AI governance framework and counteract what it views as U.S. DeepSeek claims to have achieved this by deploying several technical strategies that reduced both the amount of computation time required to train its model (called R1) and the amount of memory needed to store it. DeepSeek’s decision to make its R1 model open source was a strategic masterstroke. With 671 billion parameters, R1 outperforms many proprietary models like OpenAI’s GPT-4, while being significantly cheaper and more accessible. Its interface is intuitive and it provides answers instantaneously, except for occasional outages, which it attributes to high traffic. We asked DeepSeek’s AI questions about topics historically censored by the great firewall. Even if DeepSeek’s technology is promising, its data practices and legal obligations make it a serious privacy and security risk. DeepSeek is subject to China’s surveillance laws. Recently, NVIDIA announced plans to further explore itsDeepseekstrategy. In simpler terms, Deepseek is designed to enhance the way machines learn and process huge sets of information quickly. “What’s this about some Chinese AI thing called DeepSeek?” he asked me recently with a quizzical look. I don’t think the AI technology aspect of DeepSeek was what sparked this question, since he doesn’t know anything (or care) about the details of AI.