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The article explains sparsity as a key technique that deactivates non-essential parts of neural networks to reduce computation without sacrificing performance. It also highlights the implications of R1’s open-source release and low-cost accessibility, including governance, licensing, and rising regulatory pressure.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/deepseek-a-game-changer-in-ai-and-the-power-of-sparsity/638896/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/deepseek-a-game-changer-in-ai-and-the-power-of-sparsity/638896.png","ImageObject",300,407,{"name":92,"@type":93},"Aurelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-26","2026-10-22",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What makes DeepSeek’s R1 model a potential game-changer in AI?","Question",{"text":112,"@type":113},"The article argues that R1 delivers top-tier capability at a fraction of the cost, and it changes conventional assumptions about the compute requirements for advanced AI models.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does sparsity work in DeepSeek’s approach?",{"text":117,"@type":113},"Sparsity refers to using only necessary parts of a neural network or dataset by pruning nodes with minimal impact, which reduces computational demands while maintaining performance.",{"name":119,"@type":110,"acceptedAnswer":120},"What risks and governance challenges does DeepSeek’s open-source release create?",{"text":121,"@type":113},"Open sourcing can accelerate adoption and development, but it also increases licensing and governance complexity and requires organizations to manage security and innovation-protection risks.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},638896,1793052186,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":81,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":39},1099514068365,"https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068","DeepSeek: A Game-Changer in AI and the Power of Sparsity  \nBy Sean C. GriƯin, FDCC AI Committee Chair  \nIf you wondered why your tech stocks dipped back in January, the answer is DeepSeek. DeepSeek is a Chinese AI company that unveiled its R1 model and in the process has upended conventional thinking about how advanced AI models are built and deployed.  \nWhat exactly is DeepSeek? I asked DeepSeek to describe itself and its eƯect on the field of artificial intelligence. It said:  \nDeepSeek is a groundbreaking Chinese AI company that has rapidly emerged as a significant player in the global artificial intelligence landscape. Its latest model, R1, has demonstrated capabilities on par with top-tier models from industry leaders like OpenAI, but at a fraction of the cost. What sets DeepSeek apart is its innovative use of sparsity—a technique that optimizes neural networks by selectively deactivating non-essential components, reducing computational demands without sacrificing performance. This approach, combined with its open-source release of the R1 model, has the potential to democratize AI development, enabling smaller companies and startups to compete with tech giants.  \nBut why is DeepSeek such a big deal in artificial intelligence? There are a few reasons.  \n1. It’s Cheap  \nCompanies had assumed that they needed cutting-edge computer chips to create capable artificial intelligence. Based on this assumption, President Biden restricted sales of AIcapable chips from nVidia and other manufacturers to China, to restrict China’s ability to compete with the US in the AI field.  \nThat didn’t matter. DeepSeek managed to train R1 using less advanced (read: less expensive) computer chips that it could import. DeepSeek costs about $6 million in training costs, compared to the $500 billion cost President Trump announced for the AI joint venture Stargate. This lowered cost means that DeepSeek could make advanced AI technologies more accessible to a broader range of organizations, including smaller businesses and even nonprofit organizations that would previously turn to American  \ncompanies. (This may also get China’s foot in the door to American data, which it could use to train AI or other purposes.)  \n2. It’s Open Source  \nDeepSeek’s R1 is open-source software, like Linux or Mozilla Firefox. This means that anyone can access and modify its source code. Other companies and researchers can build on its work, which could accelerate the pace of AI advancements and, again, broaden R1’s appeal. However, this also raises AI governance and regulatory challenges, as organizations must navigate the complexities of open-source licensing while protecting their own innovations and managing the risks associated with AI.  \n3. Sparsity  \nDeepSeek’s R1 uses an AI principal called “sparsity.” In simple terms, sparsity refers to the practice of using only the necessary parts of a neural network or dataset to achieve the desired outcome. Think of an AI model as a vast network of interconnected nodes, each contributing to the model's ability to process information and generate outputs. Sparsity identifies and prunes away the nodes that have minimal impact on the final result.  \nIn simpler terms, imagine that other AI programs are like your kids, who leave the lights on all over the house so they can always see where they’re going. R1 turns oƯ the lights in the rooms it’s not using, which saves energy without compromising functionality.  \nDeepSeek’s method is obviously less resource intensive ; that is, it’s more eƯicient. We can expect this eƯiciency to catch the attention of AI’s makers and users.  \n4. It Raises Ethical and Regulatory Issues  \nThe AI community has already focused on issues regarding misuse, security, and bias, and DeepSeek’s sudden rise will accentuate these issues. As AI technologies become more accessible, these concerns will grow. Policymakers and legal professionals will need to work closely with technologists to ensure that AI advancements benefit ","cbCaimQrD6mAZ1Yp","https://ap.wps.com/l/cbCaimQrD6mAZ1Yp","pdf",78287,"English","# DeepSeek and the R1 Model\n## Why DeepSeek Matters: Cost, Openness, and Sparsity\n## Ethical and Regulatory Implications\n## Business Opportunities and Challenges","[{\"question\":\"What makes DeepSeek’s R1 model a potential game-changer in AI?\",\"answer\":\"The article argues that R1 delivers top-tier capability at a fraction of the cost, and it changes conventional assumptions about the compute requirements for advanced AI models.\"},{\"question\":\"How does sparsity work in DeepSeek’s approach?\",\"answer\":\"Sparsity refers to using only necessary parts of a neural network or dataset by pruning nodes with minimal impact, which reduces computational demands while maintaining performance.\"},{\"question\":\"What risks and governance challenges does DeepSeek’s open-source release create?\",\"answer\":\"Open sourcing can accelerate adoption and development, but it also increases licensing and governance complexity and requires organizations to manage security and innovation-protection risks.\"}]","DeepSeek: A Game-Changer in AI and the Power of Sparsity | PDF",1792700297]