--- title: Best DeepSeek posts of 2025 | daily.dev description: The most upvoted DeepSeek posts of 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/deepseek/best-of/2025 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/deepseek/best-of/2025 og:type: website og:site_name: daily.dev og:title: Best DeepSeek posts of 2025 | daily.dev og:description: The most upvoted DeepSeek posts of 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of DeepSeek — 2025 1. 1 [](/posts/deepseek-v3-1-release-a-new-era-in-open-ai-technology-eahc4nk1c "DeepSeek-V3.1 Release: A New Era in Open AI Technology") Article Collections · 1y DeepSeek-V3.1 Release: A New Era in Open AI Technology DeepSeek has released V3.1, a 685-billion parameter open-source language model that rivals proprietary systems from OpenAI and Anthropic at significantly lower costs. The model features a hybrid architecture combining chat, reasoning, and coding capabilities, supports 128,000 token context, and achieves 71.6% on coding benchmarks. Available for free on Hugging Face with API compatibility, it's optimized for Chinese chips and represents a major step toward democratizing advanced AI technology. 314 44 2. 2 [](/posts/deepseek-php-deepseek-laravel-laravel-wrapper-for-deepseek-php-client-to-seamless-deepseek-api-int-4lnfuyiec "deepseek-php/deepseek-laravel: Laravel wrapper for Deepseek PHP client, to seamless deepseek API integration with laravel applications.") Article Community Picks · 2y deepseek-php/deepseek-laravel: Laravel wrapper for Deepseek PHP client, to seamless deepseek API integration with laravel applications. This post introduces a Laravel wrapper for the Deepseek PHP client, enabling seamless API integration with Laravel applications. It provides instructions on installation via Composer, adding the API key to the .env file, and basic and customized ways to use the Deepseek client. Additionally, it mentions the testing phase, contributors, and the project's changelog. The package is available under the MIT License. 134 5 3. 3 [](/posts/chatgpt-vs-deepseek-which-is-best-for-programmers--mjyslgwb8 "ChatGPT vs DeepSeek: Which is Best for Programmers?") Article Community Picks · 2y ChatGPT vs DeepSeek: Which is Best for Programmers? The post compares the AI tools ChatGPT and DeepSeek from a programmer's perspective, highlighting their strengths and weaknesses. ChatGPT excels in web search and frontend issues with quick and reliable results, while DeepSeek is better at handling backend logic and building projects from scratch, though it's slower. The author emphasizes using both tools strategically to enhance efficiency and not replacing programmers. 109 13 4. 4 [](/posts/local-llms-are-how-nerds-now-justify-a-big-computer-they-don-t-need-qbcbetofq "Local LLMs are how nerds now justify a big computer they don't need") Article David Heinemeier Hansson · 45w Local LLMs are how nerds now justify a big computer they don't need Local LLMs, while technically impressive, still lag significantly behind cloud-based frontier models for practical development work. Despite the hype around running AI models locally, most developers don't actually need expensive high-RAM machines. Budget mini PCs costing around $500 can handle typical development tasks just as well as premium $2,000+ workstations, especially when running Linux. This is fortunate timing given the current spike in RAM prices driven by AI's resource demands. 102 32 5. 5 [](/posts/hands-on-100-local-rag-using-deepseek-5ozlhz0dx "[Hands-on] 100% Local RAG using DeepSeek") Article Daily Dose of Data Science | Avi Chawla | Substack · 2y \[Hands-on\] 100% Local RAG using DeepSeek Building AI applications that can work effectively with real-time web data is challenging due to the need for human-like interaction simulation, overcoming site blocks, and ensuring legal compliance. Bright Data offers infrastructure to handle these tasks at scale. Additionally, the post introduces an affordable RAG app built using DeepSeek AI's models, which offer significant cost savings compared to OpenAI. The tutorial covers the setup of the knowledge base, embedding creation, vector database indexing, and custom prompt template for LLM, concluding with a user-friendly interface and future advanced techniques to be discussed. 23 6. 6 [](/posts/the-demonization-of-deepseek-owwrv8772 "The Demonization of DeepSeek") Article Hacker News · 1y The Demonization of DeepSeek A critical analysis of NIST's September 2025 evaluation of DeepSeek AI models, arguing the report is politically motivated rather than a legitimate security assessment. The author contends NIST found no evidence of backdoors or malicious code in DeepSeek's open-source models, but framed normal limitations (easier jailbreaking, Chinese bias) as security threats. The piece defends DeepSeek's contribution to open AI research and criticizes the conflation of using DeepSeek's API (which sends data to China) with running their weights locally (which doesn't). The author frames this as protectionism disguising itself as security research, threatening the future of open-source AI development. 20 1 7. 7 [](/posts/china-s-deepseek-warns-of-social-upheaval-from-ai-xbxdtt4ip "China’s DeepSeek warns of social upheaval from AI") Article TechCentral · 48w China’s DeepSeek warns of social upheaval from AI DeepSeek's senior researcher Chen Deli made a rare public appearance at China's World Internet Conference, expressing concerns about AI's long-term societal impact. While optimistic about the technology itself, Chen warned that AI could threaten widespread job displacement within 5-10 years and create massive social challenges in 10-20 years. DeepSeek gained global attention in January for releasing a low-cost AI model that outperformed leading US models. The company recently upgraded its V3 model in September and has become central to China's efforts to build a domestic AI ecosystem, with Chinese chip makers like Cambricon and Huawei developing hardware compatible with DeepSeek's models. 15 8. 8 [](/posts/deepseek-r1-0528-the-new-deepseek-model-will-bankrupt-openai-dfcid7ml9 "DeepSeek-R1-0528: The new DeepSeek model will bankrupt OpenAI") Article Medium · 1y DeepSeek-R1-0528: The new DeepSeek model will bankrupt OpenAI DeepSeek has released R1-0528, an updated version of their flagship open-source language model that rivals premium closed models like GPT-4, Claude, and Gemini. Trained on 671B tokens, it offers improved reasoning, code generation, and reliability while remaining free and open-source. The model achieves a median benchmark score of 69.45 across MMLU, GSM8K, BBH, and HumanEval tests. Users report strong performance in coding tasks and creative writing, though concerns remain about hallucinations and bias. The model is available through Hugging Face and OpenRouter's free API. 11 4 9. 9 [](/posts/how-to-run-deepseek-r1-locally-on-your-android-device-kfbwhhtid "How to Run DeepSeek R1 Locally on Your Android Device") Article DEV · 2y How to Run DeepSeek R1 Locally on Your Android Device Deploy the DeepSeek R1 AI reasoning model on your Android device for enhanced privacy, cost efficiency, offline access, and customization. Follow the guide to set up Termux, build and run Ollama, download and deploy the DeepSeek R1 models, and optimize performance. Troubleshooting tips are included. 11 10. 10 [](/posts/getting-started-with-deepseek-llm-using-ollama-locally-rrbomnczb "Getting Started with DeepSeek LLM using Ollama locally") Article DEV · 2y Getting Started with DeepSeek LLM using Ollama locally DeepSeek LLM, launched in early 2024, is a language model with 67 billion parameters and bilingual support for English and Chinese. DeepSeek R1, a compact AI model, is optimized for local hardware and excels in reasoning, coding, and technical tasks. Running DeepSeek R1 locally provides benefits in privacy, speed, cost, customization, and offline deployment. 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