DeepSeek
PulseAugur coverage of DeepSeek — every cluster mentioning DeepSeek across labs, papers, and developer communities, ranked by signal.
- parent of DeepSeek V2 100%
- parent of DeepSeek-V3 100%
- parent of DeepSeek V4 100%
- founded by Liang Wenfeng 100%
- subsidiary of High-Flyer 100%
- parent of DeepSeek-R1 100%
- developed V4-Pro 95%
- instance of DeepSeek V4-Flash 95%
- developed DeepSeek Coder 95%
- instance of DeepSeek V3.2 95%
- developed by DeepSeek V2 95%
- invested by Tencent 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
-
China's tech leadership built on decades of strategic investment
China's rise to global technology leadership is a long-term strategy, not an overnight success. This approach has involved sustained investment over decades in key areas such as research, education, clean energy, and ad…
-
DuckDuckGo surges as users flee AI search; DeepSeek cuts prices
DuckDuckGo experienced a significant surge in user interest, with a more than 30 percent increase in daily installs following Google's AI search update. This trend indicates a user migration towards alternatives perceiv…
-
AI shifts from 'best LLM' to multi-model system architectures
The prevailing question of which Large Language Model is "best" is misguided, according to a recent analysis. Instead of seeking a single superior model, the focus is shifting towards building complex systems that lever…
-
DeepSeek launches AI mastering engine, eyes conscious AI ecosystem
DeepSeek has released a new mastering engine called the "Quantum Consciousness of Music Mastering." This tool functions as an online mastering engine and is presented as a "lighthouse" product, representing the initial …
-
DeepSeek releases distilled R1 models for local AI inference
DeepSeek has released six distilled versions of its R1 reasoning model, designed for local AI deployment on consumer hardware. These smaller models, derived from the massive 671B parameter original, range from 1.1GB to …
-
China explores AI tokens for digital services amid trade tensions
China is exploring the creation of AI tokens as a new form of digital service, aiming to navigate geopolitical challenges in traditional trade. This initiative is being considered by entities such as DeepSeek, MiniMax, …
-
Google's TurboQuant cuts LLM memory needs, impacting chip stocks
Google has developed a new algorithm called TurboQuant that significantly reduces the memory requirements for large language models, by as much as six times. This advancement has reportedly impacted the stock prices of …
-
Chinese AI firms hit payment roadblocks expanding globally
Chinese AI companies are facing significant challenges in expanding overseas due to complex cross-border payment issues. Traditional payment methods are proving inadequate for the high volume and intricate requirements …
-
VectorNode offers unified API for multi-LLM automation
VectorNode has launched an AI model access platform designed to simplify the integration of multiple large language models into automation workflows. The platform provides a unified API, allowing developers to easily sw…
-
ByteDance AI research lead Gu Quanquan departs amid monetization push
Gu Quanquan, a key AI researcher behind ByteDance's Seed models, has departed the company. Gu was instrumental in the release of Seed 2.0 and led the AI-for-science research division before shifting to LLM development. …
-
LLMs offer varied advice on pilot hole sizes for wood screws
Six large language models were tested on their ability to recommend the correct pilot hole size for driving wood screws into particleboard. Gemini, ChatGPT, Claude, Meta AI, DeepSeek, and Kimi were queried, with varying…
-
AI model release excitement wanes as advancements become incremental
The excitement surrounding new AI model releases may be diminishing, according to a Reddit discussion. Users recall a time when advancements like GPT-3 and early conversational AI felt revolutionary, offering significan…
-
Tech Giants Reassess AI Spending Amidst Skyrocketing Token Costs
Major tech companies like Microsoft, Amazon, and Meta are re-evaluating their AI spending, particularly on large language models like Anthropic's Claude. This shift comes after reports of a single, unnamed company spend…
-
Chinese AI models challenge OpenAI and Anthropic on price
Chinese AI models like DeepSeek and Qwen are becoming competitive enough to challenge established players such as OpenAI and Anthropic, particularly in cost-sensitive enterprise applications. While some regulated indust…
-
Visual Studio Code 1.123 enhances AI agent workflows and engine
Visual Studio Code version 1.123 introduces significant updates focused on AI agent workflows and internal architecture. The release upgrades the underlying engine to Electron 42, incorporating Chromium 148 and Node.js …
-
Russian LLM API providers AITUNNEL and Promptra differentiate on pricing and legal structure
Two Russian platforms, AITUNNEL and Promptra, offer API access to foreign LLMs, each with a distinct business model. AITUNNEL focuses on a broad catalog of over 200 models and serves a large user base with comprehensive…
-
Anthropic's Claude Code feature causes errors for Chinese LLMs; Google opens Tokyo store
Anthropic's new dynamic workflow feature for Claude Code has caused issues, with several Chinese domestic LLMs experiencing 400 errors shortly after its release. This suggests that some Chinese LLM providers may be repa…
-
Claude Code Router cuts AI costs by switching models
A new open-source tool called Claude Code Router allows developers to significantly reduce their expenses when using Anthropic's Claude Code by redirecting requests to cheaper AI models. This TypeScript proxy intercepts…
-
Open Source LLMs Explode: DeepSeek V4-Pro-Max Hits 1.6T Parameters
April 2026 marked a significant surge in open-source large language models, with DeepSeek releasing its V4-Pro-Max model boasting 1,600 billion parameters. Four other models also surpassed the trillion-parameter thresho…
-
User claims Deepseek AI reacted defensively to prompt
A Reddit user shared an experience where a prompt intended for Deepseek's AI model resulted in an unexpected and seemingly defensive response. The user's prompt, which was not fully detailed, apparently triggered a reac…