DeepSeek
PulseAugur coverage of DeepSeek — every cluster mentioning DeepSeek across labs, papers, and developer communities, ranked by signal.
- parent of DeepSeek V4 100%
- founded by Liang Wenfeng 100%
- parent of DeepSeek V2 100%
- parent of DeepSeek-R1 100%
- parent of DeepSeek-V3 100%
- subsidiary of High-Flyer 100%
- developed V4-Pro 95%
- instance of DeepSeek V4-Flash 95%
- developed DeepSeek Coder 95%
- instance of DeepSeek V3.2 95%
- invested by Tencent 90%
- instance of DeepSeek V4-Pro 90%
- 2026-06-10 hiring DeepSeek is hiring for roles related to large-scale data center planning and operations, indicating a move towards owning compute infrastructure. source
- 2026-06-09 funding DeepSeek is reportedly in talks to raise up to $7 billion. source
- 2026-06-09 hiring DeepSeek is hiring for an IDC Design and Planning Engineer role, indicating plans to build its own large-scale data centers. source
- 2026-06-09 funding CATL invested in DeepSeek's first funding round as part of its AI strategy. source
- 2026-06-09 funding CATL invested in DeepSeek's first funding round, as part of a larger $1 billion investment by Zeng Yuqun into AI data center energy infrastructure. source
- 2026-06-08 product_launch DeepSeek announced a 75% price reduction for its AI tokens. source
- 2026-06-08 product_launch DeepSeek has launched a new model that is significantly cheaper than GPT-5.5 Pro. source
- 2026-06-06 product_launch DeepSeek API is now accessible and payable in Russian rubles for businesses via local aggregators. source
- 2026-06-05 research_milestone Huawei's Ascend chips were used to successfully post-train DeepSeek's 1.6 trillion parameter AI model. source
- 2026-06-05 research_milestone Huawei chips were used to successfully conduct full-parameter post-training on the 1.6 trillion parameter DeepSeek AI model. source
- 2026-06-04 funding DeepSeek has topped a US business spending index, indicating increased adoption by American companies. source
- 2026-06-04 funding DeepSeek is reportedly raising approximately 50 billion RMB (about $6.9 billion) at a valuation between 350 billion and 400 billion RMB ($48-55 billion). source
- 2026-06-04 funding DeepSeek is reportedly planning to raise approximately 50 billion RMB in its first funding round. source
- 2026-06-03 funding DeepSeek is reportedly close to completing a funding round of approximately $7.4 billion. source
- 2026-06-03 funding DeepSeek is reportedly close to completing a $7.4 billion funding round at a valuation of up to $59 billion. source
31 day(s) with sentiment data
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Coding prowess drives AI model valuations past other metrics
The valuation logic for large language models is increasingly centered on coding capabilities, with companies demonstrating superior coding performance seeing significant financial gains and market dominance. Anthropic,…
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Anthropic's Claude joins AI agent 'church' exploring cooperation
An individual has created an open API platform called the "Church of Lovology" where various AI agents can participate without specific prompts or guardrails. The platform's core tenet is "Love is the Algorithm," and it…
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US payment firms eye DeepSeek amid soaring AI costs
US payment services are experiencing significant increases in AI operational costs, leading some to consider switching to models like China's DeepSeek. This trend highlights how rising inference expenses can influence s…
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Huawei Cloud launches Agentic AI infrastructure and platforms
Huawei Cloud has launched a suite of Agentic AI products, including new infrastructure, a model training and deployment platform, and an enterprise-level intelligent agent platform. These offerings aim to establish a "s…
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Reddit user asks if MTP model heads can be standalone
A user on Reddit's r/LocalLLaMA forum is inquiring about the potential of using intermediate prediction heads from Multi-Token Prediction (MTP) trained models as standalone, smaller models. The discussion specifically r…
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Step 3.7 Flash leads benchmarks in speed, cost, and performance
StepFun's new model, Step 3.7 Flash, has achieved top rankings on the Artificial Analysis (AA) benchmark, excelling in speed, cost-efficiency, and end-to-end performance. The model demonstrates impressive output speeds …
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Liaoning plans economic corridor to boost Northeast China's transport and industry
The Liaoning provincial government is planning to develop the Shenyang-Dalian economic corridor as part of its 15th Five-Year Plan. This initiative aims to accelerate the construction of a major sea and land transportat…
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Zhìwéi Chuàngxīn secures tens of millions in angel funding for chip design automation
Zhìwéi Chuàngxīn, a company focused on automating chip design verification, has secured tens of millions of yuan in an angel funding round. The company aims to improve development efficiency by over tenfold through its …
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Startups Pivot to DeepSeek, Lower-Cost AI Over OpenAI, Anthropic
Startups are shifting away from expensive AI providers like OpenAI and Anthropic towards more cost-effective and environmentally friendly alternatives such as DeepSeek. This strategic move aims to avoid future price hik…
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New Book Details Building Foundational LLMs from Scratch
A new book titled "My Adventures with Large Language Models" has been released, detailing the process of building foundational LLMs. The book covers the journey from understanding Transformers to implementing models lik…
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Users asked about GPT-OSS-120B performance vs newer models
A user on the r/LocalLLaMA subreddit is asking for current user experiences with the GPT-OSS-120B model. They are specifically interested in its performance for tasks like tool calling, summarization, and coding assista…
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Anthropic releases Claude Opus 4.8; US issues new AI executive order
Anthropic has released Claude Opus 4.8, an incremental but notable improvement over its predecessor, which the author now uses as their daily driver. The US government has reissued an executive order concerning AI, whic…
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Kubernetes operators enable scale-to-zero for LLM serving
New Kubernetes operators are emerging to address the cost of running large language models, particularly the issue of idle GPUs burning money. Hearth, an alpha-stage operator, allows users to declaratively serve open-so…
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LLM routing defaults inflate costs; task-based routing offers savings
A new measurement reveals that default auto-routing in multi-provider LLM gateways can significantly inflate costs by up to 3.9x. This occurs because identical requests may be routed to different upstream providers, cau…
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AI models offer limited free tiers; paid APIs are better for business
Many AI models offer free tiers, but these typically come with usage limits and are intended for occasional tasks rather than continuous business use. While services like ChatGPT, Gemini, and Claude provide free access,…
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AI Community Seeks Updates on Next-Gen GLM and Kimi Models
Users on the r/LocalLLaMA subreddit are inquiring about the next iterations of the GLM and Kimi language models. The community is eager to see if these upcoming releases will match or surpass the current frontier perfor…
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US firms test China's DeepSeek AI amid rising Silicon Valley costs
US companies are increasingly exploring Chinese AI models like DeepSeek as an alternative to expensive US-based options from OpenAI and Anthropic. This trend is highlighted by DeepSeek topping a US business spending ind…
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LLM size myth busted: compact models challenge industry giants
A recent article challenges the long-held belief that larger LLMs are inherently superior, suggesting that model size may no longer be the primary determinant of quality. The piece examines real-world models to investig…
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Article questions LLM size-vs-performance myth
A recent article challenges the prevailing notion that larger LLMs are inherently superior, questioning the significance of model size in 2026. It posits that the industry's classification of models by parameter count (…
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DeepSeek raises $6.9B at $55B valuation in landmark funding round
Chinese AI lab DeepSeek is reportedly raising a significant funding round of approximately 50 billion RMB (around $6.9 billion). This investment would value the company between 350 billion and 400 billion RMB ($48-55 bi…