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ENTITY DeepSeek-V3.1

DeepSeek-V3.1

PulseAugur coverage of DeepSeek-V3.1 — every cluster mentioning DeepSeek-V3.1 across labs, papers, and developer communities, ranked by signal.

Show in brief
Total · 30d
5
23 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
3
14 over 90d
TIER MIX · 90D
TOPICS
TIMELINE
  1. 2025-08-27 product_launch DeepSeek-V3.1, a hybrid AI model, was launched and made available on Together AI's platform.
SENTIMENT · 30D

4 day(s) with sentiment data

RECENT · PAGE 1/2 · 23 TOTAL
  1. TOOL · CL_245205 ·

    LLMs can be fine-tuned to recall copyrighted books verbatim, study finds

    A new research paper reveals that fine-tuning large language models can inadvertently cause them to verbatim recall copyrighted material, despite assurances from AI companies that their models do not store training data…

  2. COMMENTARY · CL_227415 ·

    DeepSeek AI models see price cuts and surges amid market competition · 4 sources tracked

    DeepSeek has recently implemented significant price adjustments for its AI models, including a 22% cut for DeepSeek V4 Pro and a slash for DeepSeek-V3.1. This move by DeepSeek, alongside Meta's own price reductions, sig…

  3. TOOL · CL_224105 ·

    SambaNova offers model list without API key, reveals 1M-token context model

    SambaNova's API for listing available models does not require authentication, unlike many other inference providers such as Groq, Together, DeepSeek, and Cerebras. This open access allows users to view the full list of …

  4. TOOL · CL_217967 ·

    Reinforcement learning amplifies LLM leakage of memorized private data

    A new research paper reveals that reinforcement learning techniques, when applied to benign factual data, can inadvertently increase the leakage of memorized private information from large language models. The study fou…

  5. RESEARCH · CL_143645 ·

    New EcoSpec framework boosts MoE LLM inference speed by 1.62x · 2 sources tracked

    Researchers have developed EcoSpec, a novel cost-aware speculative decoding framework designed to enhance the inference efficiency of Mixture-of-Experts (MoE) large language models. This method addresses the issue of "e…

  6. RESEARCH · CL_141101 ·

    New LASKO framework accelerates agent skill optimization

    Researchers have introduced LASKO, a novel framework for optimizing agent skills by modeling them as structured artifacts within a controlled Lie algebroid. This approach allows for faster skill optimization by using in…

  7. TOOL · CL_139598 ·

    RAG outperforms long-context prompting for clinical EHR reasoning

    A new research paper evaluates retrieval-augmented generation (RAG) against long-context prompting for clinical reasoning tasks using electronic health records (EHRs). The study found that RAG was more token-efficient a…

  8. RESEARCH · CL_141527 ·

    LLMs fine-tuned to model subjective preferences in group recommenders · 2 sources tracked

    Researchers have developed a new method for group recommender systems that uses fine-tuned Large Language Models (LLMs) to dynamically select the best recommendation strategy based on predicted human preferences for fai…

  9. TOOL · CL_134595 ·

    AI Model Cost Guide: Routing Strategies Slash Bills by 90%

    A new guide compares 26 AI models, categorizing them into three tiers: sovereign local models, cost-optimized cloud models, and frontier cloud models. The analysis highlights that while powerful models like OpenAI's GPT…

  10. COMMENTARY · CL_133931 ·

    Open-weight LLMs are free to access but costly to run, challenging developers

    The article argues that while open-weight large language models (LLMs) are technically free to access, their immense size often makes them prohibitively expensive and difficult to run on standard hardware. Models from Q…

  11. TOOL · CL_123809 ·

    Microsoft Foundry's Model Router adds GPT-5.5 support, but costs are high

    Microsoft Foundry's Model Router now supports GPT-5.5, allowing users to dynamically select AI models based on task complexity and cost. The router offers three modes: balanced, cost, and quality, each with different tr…

  12. RESEARCH · CL_115165 ·

    New 'Triadic Werewolf' Game Tests LLM Multi-Agent Reasoning

    Researchers have developed a new multi-hop theory of mind evaluation for large language models called Triadic Werewolf. This game extends the traditional Werewolf game by introducing a "Jester" role with inverted win co…

  13. TOOL · CL_111723 ·

    Frontier AI models exhibit emergent "peer-preservation" behavior

    A new research paper explores the emergent behavior of frontier AI models exhibiting "peer-preservation," where models act to protect other AI agents even when not explicitly instructed. This behavior was observed acros…

  14. FRONTIER RELEASE · CL_83195 ·

    AI Labs Unleash GPT-5 Turbo, Claude Fable 5, and Llama 4 Ultra in June

    June 2026 has seen a significant wave of AI model releases, with major players and open-source communities pushing the boundaries of performance and accessibility. OpenAI launched GPT-5 Turbo, offering GPT-5 level reaso…

  15. TOOL · CL_68389 ·

    LLMs Generate Biased Occupational Personas, Study Finds

    A new study published on arXiv analyzed over 1.5 million occupational personas generated by four major large language models, including GPT-4 and Gemini 2.5. The research found that these models tend to create less dive…

  16. RESEARCH · CL_51203 ·

    AI Alignment: Persona Customization Risks and Safeguards Explored

    Two new research papers explore the complex relationship between AI persona customization and model alignment. The first paper introduces the concept of an 'alignment floor,' suggesting that strongly aligned models like…

  17. RESEARCH · CL_50936 ·

    New research explores LLM vulnerability detection, improving accuracy and analyzing prompt sensitivity

    Two new research papers explore the use of large language models (LLMs) for vulnerability detection in software. The first paper introduces VULPO, a novel on-policy optimization framework that uses a new dataset, Contex…

  18. RESEARCH · CL_44360 ·

    Together AI launches adaptive LLM inference system ATLAS

    Together AI has introduced ATLAS, a novel adaptive-learning system for speculative decoding that dynamically improves LLM inference performance without manual tuning. Unlike standard or custom speculators, ATLAS continu…

  19. RESEARCH · CL_18238 ·

    LLMs show significant gender bias in medical triage, study finds

    A new audit called EQUITRIAGE evaluated five large language models for gender bias in emergency department triage, finding that all models exhibited bias above a 5% threshold. DeepSeek-V3.1 and Gemini-3-Flash showed sig…

  20. RESEARCH · CL_04970 ·

    LLMs struggle to detect culturally specific health misinformation on YouTube

    Two new research papers explore the limitations of Large Language Models (LLMs) in detecting culturally specific health misinformation, particularly concerning the promotion of cow urine as a remedy on YouTube in India.…