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DeepSeek V4 Shows That The Next AI Race Is About Efficiency

تكنولوجيا
Forbes Business
2026/04/26 - 15:15 508 مشاهدة
تحليل ذكي | AI Editorial Analysis
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InnovationAIDeepSeek V4 Shows That The Next AI Race Is About EfficiencyByGerui Wang,Contributor.Forbes contributors publish independent expert analyses and insights. Dr. Gerui Wang writes about AI, society, media, and culture.Follow AuthorApr 26, 2026, 11:15am EDT--:-- / --:--This voice experience is generated by AI. Learn more.This voice experience is generated by AI. Learn more.EDMONTON, CANADA - JANUARY 28: A woman holds a cell phone in front of a computer screen displaying the DeepSeek logo, on January 28, 2025, in Edmonton, Canada. (Photo by Artur Widak/NurPhoto via Getty Images)NurPhoto via Getty ImagesDeepSeek V4, the long awaited update from DeepSeek, arrives at a fiercely competitive moment, when Open AI’s GPT 5.5 and Anthropic’s Opus 4.7 have just launched one after the other. The AI models race apparently achieve a new level. As an unique believer in open sourced tools, DeepSeek impress developers with its cost-efficiency rather than the raw scale.The preview release includes two Mixture-of-Experts models with one-million-token context window: DeepSeek-V4-Pro, with 1.6 trillion total parameters and 49 billion activated parameters, and DeepSeek-V4-Flash, with 284 billion total parameters and 13 billion activated parameters. Long-context agents, coding assistants, research tools and enterprise copilots all face the same bottleneck: every newly generated token may need to refer back to a growing history of documents, code, tool calls and intermediate reasoning. DeepSeek’s technical report demonstrates that its V4 models addresses this problem through architectural compression rather than simply asking users to pay for more compute.The Core Innovation: Compressing Memory Without Losing ReasoningDeepSeek V4’s most important architectural change is a hybrid attention design that combines Compressed Sparse Attention, or CSA, with Heavily Compressed Attention, or HCA. It means that the model does not store and scan every previous token in the same expensive way....
المصدر: Forbes Business | Source: Forbes Business

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes Business. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes Business. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes Business. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes Business. Tags: AI, efficiency, technology.

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