| 17-05-2025 |
DeepSeek App Revamp Fuels R2 Launch Speculation |
Social Media News |
A recent DeepSeek app update, featuring a sleeker UI, improved navigation, and enhanced performance, has sparked speculation about the imminent release of the R2 reasoning model. The overhaul aligns with R2’s anticipated hybrid Mixture-of-Experts (MoE) architecture, promising significant efficiency gains. While DeepSeek remains silent on R2’s timeline, the app’s optimizations suggest preparation for a major model upgrade. Stay tuned to DeepSeek’s official channels for updates on R2’s potential launch. |
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| 01-05-2025 |
DeepSeek-Prover-V2 Enhances AI Theorem Proving with Advanced Reinforcement Learning |
AI Innovation Update |
DeepSeek-Prover-V2, an open-source AI model by DeepSeek-AI, excels in formal theorem proving using Lean 4, achieving an 88.9% pass rate on MiniF2F-test. Leveraging reinforcement learning and subgoal decomposition, it integrates informal and formal reasoning for superior performance. The model, available in 7B and 671B parameter sizes, comes with ProverBench, a new dataset of 325 math problems. Download DeepSeek-Prover-V2 on Hugging Face to explore its capabilities in mathematical reasoning. |
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| 30-04-2025 |
DeepSeek Unveils Prover-V2-671B Math Model, Signals R2 Release |
New Releases |
DeepSeek, a leading Chinese AI firm, has quietly released Prover-V2-671B, a 671-billion-parameter model excelling in mathematical reasoning, built on a cost-efficient mixture-of-experts architecture. The launch, shared on Hugging Face, fuels anticipation for the upcoming DeepSeek R2, expected to further disrupt AI pricing and performance. Industry buzz suggests R2 could redefine enterprise AI with advanced reasoning capabilities. |
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| 30-04-2025 |
DeepSeek R2 Rumors Spark Debate Over AI Cost Disruption |
Social Media News |
Speculation around DeepSeek R2, a next-generation AI model, suggests it could be 97.3% cheaper than GPT-4 Turbo, boasting 1.2 trillion parameters and a hybrid MoE architecture. Leaked details claim advanced reasoning and independence from U.S. chip supplies, potentially slashing enterprise AI costs. However, multiple sources question the leaks’ legitimacy, citing possible stock manipulation. |
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| 28-04-2025 |
DeepSeek R2 Nears Release with Cost Efficiency and Reduced Hallucinations |
New Releases |
DeepSeek R2, rumored for release tomorrow or Wednesday, promises a 97% cost reduction compared to OpenAI’s o3, with fewer hallucinations and strong performance in coding and multilingual reasoning. While slightly trailing o3 in most benchmarks, its affordability and open-source model make it a game-changer for developers and businesses.Visit DeepSeek’s GitHub for updates and explore the DeepSeek R2 release date news at deepseeksai.com! |
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| 27-04-2025 |
DeepSeek R2 Release Rumors Swirl as Hugging Face CEO Hints at Internal Updates |
Social Media News |
Speculation about DeepSeek R2’s imminent release is growing after Hugging Face CEO reportedly noticed internal updates, suggesting private model file uploads or model card changes. Despite public activity on Hugging Face showing updates from a month ago, the platform often hosts files before they go live. DeepSeek R2, rumored to be a 1.2T parameter model, could rival top AI models at a fraction of the cost. |
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| 25-03-2025 |
DeepSeek-V3-0324 Debuts with Enhanced AI Reasoning and Coding Power |
Feature |
DeepSeek has released DeepSeek-V3-0324, an exciting update to its AI model, now available under the MIT License. This version brings big improvements in reasoning, front-end development, and tool-using skills. For simpler tasks, just switch off the DeepThink feature to use the V3 model smoothly. The API stays the same, making it easy for developers to jump in. You can grab the open-source weights on Hugging Face and start exploring this powerful upgrade today! |
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| 25-03-2025 |
DeepSeek V3-0324 Ranks as Top Coding Model on KCores Benchmark |
Social Media News |
DeepSeek has unveiled its latest model, V3-0324, rumored to be the foundation for R2, and it’s already making waves! It snagged the second spot among non-thinking coding models on the KCores benchmark, just behind Claude Sonnet 3.5. This benchmark tests models on four coding tasks, and V3-0324 outshined even some big names like R1, o1, Gemini Pro, and Grok. |
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| 17-03-2025 |
DeepSeek Users Seek Longer Chat Limits and Conversation Grouping Options |
Social Media News |
DeepSeek AI has impressed users with its capabilities, but its chat length limit forces restarts that disrupt ongoing topics. Frustrated users are asking for an increased chat length—some even willing to pay—or a feature to group conversations for seamless context retention. These enhancements could elevate the user experience for complex tasks and discussions. Share your thoughts on how DeepSeek can improve in the toolkitly discussion section for Deepseek AI. |
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| 01-03-2025 |
DeepSeek Unveils V3/R1 Inference System on Day 6 of #OpenSourceWeek: Boosting AI Efficiency with High CPC Potential |
AI Tool Benchmarking |
On Day 6 of #OpenSourceWeek, DeepSeek showcased its cutting-edge DeepSeek-V3/R1 Inference System, optimized for AI performance with cross-node EP-powered batch scaling, computation-communication overlap, and load balancing. Delivering 73.7k input and 14.8k output tokens per second per H800 node, this system achieves a remarkable 545% cost-profit margin. Aimed at advancing AGI goals, this open-source breakthrough promises significant value for AI developers and businesses seeking scalable, cost-effective AI solutions. |
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| 28-02-2025 |
DeepSeek’s 3FS Debuts at #OpenSourceWeek: Fire-Flyer File System Turbocharges AI Workloads with 6.6 TiB/s Read Throughput |
AI Innovation Update |
DeepSeek unveiled its Fire-Flyer File System (3FS) on Day 5 of #OpenSourceWeek, a high-performance parallel file system leveraging modern SSDs and RDMA networks to deliver an astounding 6.6 TiB/s aggregate read throughput in a 180-node cluster. |
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| 27-02-2025 |
DualPipe & EPLB Unveiled: DeepSeek Boosts AI Training Efficiency |
AI Innovation Update |
DeepSeek’s Day 4 of #OpenSourceWeek introduces DualPipe, a bidirectional pipeline algorithm, and EPLB, an expert-parallel load balancer, for V3/R1 AI training. These tools optimize computation-communication overlap, enhancing GPU efficiency. Explore the open-source AI breakthroughs now! |
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| 26-02-2025 |
DeepGEMM Launched: High-Speed FP8 AI Library Powers DeepSeek V3/R1 |
AI Innovation Update |
DeepGEMM, unveiled on Day 3 of #OpenSourceWeek, is an FP8 GEMM library hitting 1350+ TFLOPS on Hopper GPUs for V3/R1 AI training. With JIT compilation and a lean 300-line core, it outshines expert-tuned tools. Boost your AI projects |
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| 26-02-2025 |
DeepSeek API Slashes Prices: 75% Off R1, 50% Off V3 in Off-Peak Hours |
Offers |
DeepSeek API introduces off-peak discounts, cutting DeepSeek-R1 costs by 75% and DeepSeek-V3 by 50% daily from 16:30–00:30 UTC. Save big on advanced AI tools for smarter resource use. |
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| 25-02-2025 |
DeepSeek AI Launches DeepEP: Open-Source EP Library for MoE Models on Day 2 of #OpenSourceWeek |
AI Innovation Update |
DeepSeek AI unveils DeepEP, the first open-source Expert Parallelism (EP) communication library for Mixture of Experts (MoE) models, boosting training and inference with high-throughput, low-latency features. Available now on GitHub as part of #OpenSourceWeek. |
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| 24-02-2025 |
DeepSeek AI Launches FlashMLA: Open-Source MLA Kernel for Hopper GPUs on Day 1 of #OpenSourceWeek |
AI Innovation Update |
DeepSeek AI introduces FlashMLA, an open-source Multi-Latent Attention (MLA) decoding kernel optimized for Hopper GPUs, now in production. With BF16 support, paged KV cache, and blazing performance, it’s available on GitHub as part of #OpenSourceWeek. |
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| 21-02-2025 |
Open-Source Week Kicks Off with DeepSeek AI’s AGI Exploration |
Company News |
Starting next week, the tiny team at DeepSeek AI will launch #OpenSourceWeek, sharing 5 battle-tested repositories from their online service. Focused on AGI (Artificial General Intelligence), this open-source AI initiative offers production-ready AI development tools and machine learning repositories. With full transparency, DeepSeek AI’s community-driven effort aims to accelerate AI innovation. Daily unlocks begin soon, blending garage-energy vibes with AI community collaboration. Stay tuned for transparent AI deployment and progress! |
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| 18-02-2025 |
Deepseek Introduces NSA: Ultra-Fast Sparse Attention for Long-Context Training & Inference |
Company News |
Deepseek unveils NSA (Natively Trainable Sparse Attention), a breakthrough mechanism designed for ultra-fast long-context training and inference. NSA combines dynamic hierarchical sparse strategies, token compression, and fine-grained selection to optimize performance on modern hardware. It accelerates inference and reduces pre-training costs, delivering top-tier results on general benchmarks, long-context tasks, and instruction-based reasoning. |
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| 16-02-2025 |
DeepSeek Pauses AI App Downloads in South Korea Over Privacy Concerns |
Company News |
DeepSeek has halted downloads of its chatbot apps in South Korea following privacy concerns raised by regulators. South Korean authorities are working with the company to enhance data transparency and protection before a potential relaunch. |
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| 14-02-2025 |
Optimize Your DeepSeek-R1 Experience with Official Prompts |
Service |
DeepSeek users can now elevate their AI interactions by using the platform’s recommended prompts. These prompts are designed to streamline both searches and file uploads for better performance. Access the official prompts here and make the most out of your DeepSeek-R1 experience! |
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| 14-02-2025 |
Follow DeepSeek Guidelines to Improve AI Accuracy |
Service |
Ensure optimal results with DeepSeek-R1 by following the latest guidelines to mitigate model bypass thinking. These tips are tailored to enhance AI responses and improve overall accuracy. Explore the full guide here and take your AI experience to the next level! |
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| 20-01-2025 |
DeepSeek-R1 Launches with Open-Source Excellence |
Company News |
DeepSeek-R1, a high-performance, fully open-source AI model, is now live with MIT licensing for free use and commercialization. |
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