# DeepSeek İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "DeepSeek" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Sales Director Consulted with DeepSeek, Lost Job and 5 Million Rubles

Babuskinsky District Court of Moscow upheld the lawful dismissal of Ekaterina Remizova, sales director at GK Energoprof, for disclosing trade secrets. The employee was found to have forwarded company documents, including tender participation details and colleagues' salary data, to her personal email. Furthermore, she uploaded confidential reports with sales statistics, financial metrics, and cash flow data from the company's internal PowerBI resources into the external AI service DeepSeek. The court ruled that uploading such protected information into the DeepSeek AI system itself constitutes disclosure. An additional ground for dismissal was her disclosure of strategic company plans to a supplier, after which the counterparty ceased communication. The employer also cited systematic failure to meet sales targets. Following her dismissal, Remizova sued, demanding the termination be declared illegal, changed to "by mutual agreement," and seeking a contractual "golden parachute" of 5 million rubles. The court rejected the 5 million ruble claim, as such payment was only stipulated for mutual agreement or redundancy. While one disciplinary penalty was deemed unjustified, ordering the company to pay 10,000 rubles in moral compensation, the court largely sided with the employer, refusing to recognize the dismissal as unlawful. The case highlights risks associated with using external AI services. A security expert noted that DeepSeek's "Share" function creates links that can be indexed by search engines like Google, potentially turning temporary shares into permanent, publicly accessible digital traces containing corporate data.

cryptonews.ru07/27 14:51

Sales Director Consulted with DeepSeek, Lost Job and 5 Million Rubles

cryptonews.ru07/27 14:51

OpenAI's Darkest Hour: Revenue Could Be Slashed by 70%, How Long Can Its $100 Billion Valuation Hold?

OpenAI faces a severe crisis, with its 2030 revenue potentially slashing 70% and a projected cash flow loss of $165 billion. A disastrous week included an Apple lawsuit alleging intellectual property theft, an S&P downgrade of Oracle citing OpenAI as a "key credit risk," and the start of an AI price war. Chinese open-source models like DeepSeek now capture nearly 50% of enterprise token usage on OpenRouter, pressuring U.S. firms to cut prices drastically—Meta and OpenAI have released models 75-80% cheaper. Combined with weak ChatGPT ad revenue projections and potential hardware business shutdown from the Apple suit, OpenAI's financial future is in jeopardy. CEO Sam Altman's vague reassurances did little to calm investors. Meanwhile, the article argues the broader market is not diversifying but is increasingly a concentrated bet on AI, impacting sectors from utilities and industrials to real estate and finance. In separate news, Netflix reported disappointing Q2 results with slowing engagement growth, leading to a stock drop and reduced reporting transparency.

链捕手07/21 09:28

OpenAI's Darkest Hour: Revenue Could Be Slashed by 70%, How Long Can Its $100 Billion Valuation Hold?

链捕手07/21 09:28

DeepSeek V4 'Full-Blooded Edition' Leaked, Could Be Released As Early As Tomorrow

The highly anticipated full release of DeepSeek V4 is imminent, expected to launch as early as tomorrow after nearly three months of waiting. A select group has already received access to the GA (General Availability) beta, which includes two versions: DeepSeek V4 Flash and DeepSeek V4 Pro. Early testers report that V4's overall performance is close to the level of Opus 4.8, with coding capabilities rivaling GPT-5.6 Sol. Its agent abilities are significantly enhanced, and 3D/SVG generation has improved notably. While it may not surpass the recently released Kimi K3 in performance, its expected price point is significantly lower. The official release will introduce a new "peak/off-peak" pricing model for its API. For example, deepseek-v4-pro will cost $0.87 per million output tokens during standard times and $1.74 during peak hours. The flash version is even more aggressive at $0.28/$0.56 per million tokens, with cached input tokens priced extremely low at $0.0028. This makes V4 a strong contender in terms of cost-effectiveness, potentially offering Opus-level capabilities at a fraction of the cost, continuing DeepSeek's reputation as a "price disruptor" in the AI market. Initial demos showcasing V4's capabilities have begun circulating, including generated 3D simulation games, HTML games blending elements of Minecraft and No Man's Sky, and classic games like a "Cut the Rope" clone. The final GA version is set to replace the older deepseek-chat and deepseek-reasoner models, which will be retired on July 24th.

marsbit07/19 05:31

DeepSeek V4 'Full-Blooded Edition' Leaked, Could Be Released As Early As Tomorrow

marsbit07/19 05:31

Now It's Just Awaiting Liang Wenfeng to Ring the Bell

DeepSeek, a leading Chinese AI company, is reportedly preparing for an IPO, potentially on the domestic STAR Market, with an application possibly submitted this year. This follows new exchange guidelines supporting pre-revenue AI firms. Concurrently, DeepSeek is discussing a new funding round with a rumored pre-money valuation of around $71 billion. Its recent $7 billion funding round saw participation from founder Liang Wenfeng, Tencent, CATL, JD.com, and others, under strict terms ensuring Liang's control. The competitive landscape is intensifying, with rivals like Zhipu AI and MiniMax also advancing toward IPOs. DeepSeek, once known for its idealistic research focus, is now expanding into areas like AI agents and chip development, signaling a strategic shift to maintain its edge in the race towards Artificial General Intelligence (AGI). The capital markets are becoming a crucial new arena for these ambitions.

marsbit07/15 12:27

Now It's Just Awaiting Liang Wenfeng to Ring the Bell

marsbit07/15 12:27

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

Goldman Sachs analyzes China's AI large language model (LLM) landscape, identifying key players and a strategic shift towards efficiency and global expansion. The report highlights that Chinese open-source/open-weight models are closing the performance gap with top global proprietary models at significantly lower cost, driven by architectural innovations like MoE. This enables a "two-tier" market: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with pricing at ~$1 per million tokens, and a low-end, price-sensitive global segment. Open-source strategies aid adoption but limit monetization, as deployments via third-party platforms (e.g., AWS Bedrock, Alibaba Cloud) may not generate direct revenue for model creators. The industry is thus moving towards "open-weight + community license" models with revenue-sharing to improve unit economics. Internationally, the focus is shifting from "token maximization" to ROI-driven enterprise adoption, particularly in non-U.S. markets. Major cloud platforms are integrating Chinese models (e.g., DeepSeek, MiniMax). Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman Sachs identifies **Zhipu AI** and **DeepSeek** as leaders in foundational text models, and **ByteDance** (with Seedance) leading in multimodal/video generation. **MiniMax** and **Kuaishou** are also rated favorably. The firm forecasts China's AI model API/subscription revenue growing from ~RMB 35bn (2026E) to RMB 879bn by 2030.

marsbit07/11 07:50

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

marsbit07/11 07:50

The Illusion of a Prodigy

The Illusion of the "Genius Youth" The article discusses the recent interview incident involving Li Bojie, a former "Huawei Genius Youth," and AI company DeepSeek. It highlights the core conflict not as a simple case of suspected cheating during a coding test, but as a profound mismatch in expectations. Li, with an impressive background including entrepreneurship, a role at Huawei, and a position as a chief scientist, was deeply affected by a standard remote interview where the interviewer questioned his actions. The key point is his stated view of DeepSeek as the "pinnacle of the Chinese tech world." For him, the interview was a quest for identity validation—proof he belonged at the center of the new AI era. For DeepSeek, it was a routine skills assessment. The article argues that Li, while publicly rejecting the "genius" label, subconsciously expected to be treated as a peer for discussion, a courtesy extended by other companies like MiniMax and Xiaomi. DeepSeek, however, adhered strictly to its standardized process, prioritizing consistent, merit-based evaluation over individual prestige. This clash symbolizes a larger shift in the tech industry. The core thesis is that the AI era is dismantling the old system where past titles, companies, and accumulated experience guaranteed status. Now, with rapid knowledge obsolescence, "excellence is calculated in real-time." Li's anxiety—waiting weeks for the DeepSeek interview despite other offers—stems from the fear that rejection means being left behind by technological progress. The article concludes that this incident is a harbinger; soon, everyone will face a constant, implicit "interview" with the AI age itself, asking: "You were excellent yesterday. What about today?"

marsbit07/09 09:55

The Illusion of a Prodigy

marsbit07/09 09:55

Former Huawei 'Genius Teen' Who Questioned DeepSeek Interview Lands in 'Crossfire' from Web3 Investor

Former Huawei "Genius Youth" Li Bojie recently drew public attention by criticizing his interview experience with DeepSeek. The controversy escalated when Du Jun, co-founder of Web3 investment firm ABCDE Capital, publicly accused Li of being "the founder with the least sense of contractual spirit" he had ever cooperated with, sparking a dispute over Li's startup project, Metagent. Li detailed a frustrating DeepSeek interview where he was accused of potential plagiarism, leading him to end the session. The spotlight then shifted to his venture, Metagent, a Web3+AI project aiming to tokenize AI agents. ABCDE invested $1.5 million, with an initial $500k disbursed. Du Jun claimed the project's progress was severely lacking, with a poor-quality demo and minimal social media activity. He alleged Li stopped communicating, deleted his Telegram, and failed to provide proper financial reporting. In response, Li argued the remaining $1 million was never received, crippling operations and forcing salary cuts. He stated he left Metagent in October 2024 due to family reasons and Web3 compliance concerns, with board approval. He claimed to have fulfilled disclosure duties and that his subsequent projects avoided conflicting fields. Other investors, including ArkStream Capital, shared negative due diligence experiences, citing unprofessional contracts and evasive answers on tokenomics. Metagent's social media went silent in June 2024, effectively stalling. Li has since moved to a new consumer AI agent platform, Pine AI (formerly Logenic AI), which has raised $25 million in Series A funding. He served as its Chief Scientist but recently left, clarifying he was not the founder and departed due to a shift in research interests.

Foresight News07/08 09:40

Former Huawei 'Genius Teen' Who Questioned DeepSeek Interview Lands in 'Crossfire' from Web3 Investor

Foresight News07/08 09:40

DeepSeek Secretly Builds AI Chip, Specializing in Inference, Project Started a Year Ago with No Public Recruitments

DeepSeek, the Chinese AI company known for its algorithmic models, is secretly developing its own AI chip to reduce dependence on Nvidia, according to a Reuters report. The chip is designed specifically for AI inference, not training, and the project began approximately a year ago. Currently in early stages, DeepSeek is reportedly in discussions with chip design firms, foundries, and memory suppliers. The company, historically focused on algorithmic efficiency, has been discreetly hiring chip design engineers without public job postings. This move aligns with a global trend where major AI model companies like OpenAI and Anthropic are also pursuing custom chip development. DeepSeek founder Liang Wenfeng previously highlighted chip shortages as a challenge. While the company initially trained models on Nvidia H800s and later adapted to Huawei's Ascend chips, it now seeks greater control over its hardware foundation. Designing a competitive AI chip is a significant challenge, requiring years and substantial investment with no guarantee of success. However, DeepSeek's efforts are backed by a recent major funding round of approximately 51 billion RMB (about $7.4 billion) raised in June 2026. The funds are designated for expanding data centers based on domestic chips, developing proprietary AI chips, and recruiting top global talent. Infrastructure plans are also advancing, with job postings for data center design engineers, including projects in locations like Ulanqab, Inner Mongolia. The company remains characteristically low-key, with sources speaking anonymously and no official comment from DeepSeek itself. Nevertheless, this initiative marks a strategic expansion from software algorithms into the hardware layer that powers its AI systems.

marsbit07/08 02:04

DeepSeek Secretly Builds AI Chip, Specializing in Inference, Project Started a Year Ago with No Public Recruitments

marsbit07/08 02:04

Completely Free, Open-Source Alternative to Claude Science, Use DeepSeek/GLM as You Like

Free, Open-Source Alternative to Claude Science: OpenScience Lets Researchers Use Any AI Model Like DeepSeek or GLM Shortly after Anthropic launched Claude Science, a specialized AI workbench for scientific research, the open-source community responded with its own solution: OpenScience. Developed by YC-backed Synthetic Sciences, this platform offers a full AI research workflow covering literature review, hypothesis generation, code experimentation, and paper writing. Unlike Claude Science, which is restricted to macOS/Linux, paid users, and only Claude models, OpenScience is model-agnostic and free. Researchers can use any AI model—DeepSeek, GLM, Claude, GPT, or local models via Ollama—simply by providing their own API keys, keeping data private. OpenScience features over 250 editable research skill packs, more than four times Claude Science's initial offering, and supports one-command installation. It emphasizes openness, arguing that scientific AI tools should not be controlled by a single company. The project includes a clear disclaimer of no affiliation with Anthropic, reflecting caution in the open-source community.

marsbit07/07 07:30

Completely Free, Open-Source Alternative to Claude Science, Use DeepSeek/GLM as You Like

marsbit07/07 07:30

China Added 67 New Unicorns in Half a Year, with AI and Robotics Accounting for Over Half

China added 67 new unicorn companies in the first half of 2026, reaching a total of 517 unicorns with a combined valuation of approximately $2.39 trillion. This surge marks a significant rebound after a post-2022 slowdown and sets a new semi-annual record. The growth is primarily driven by Artificial Intelligence (AI) and Robotics, which together account for over 53% of the new entrants. Specifically, 19 new unicorns are in robotics and 17 in AI. Notable companies include DeepSeek ($615.38B) and Kling AI ($18B). The trend indicates a decisive shift from internet consumer models to hard tech innovation. Geographically, new unicorns are highly concentrated in four cities: Beijing (19), Shanghai (18), Shenzhen (9), and Hangzhou (5), which together host 76.1% of the new companies. Hangzhou's overall valuation is boosted significantly by DeepSeek. Valuation distribution among new unicorns is pyramidal: 77.6% are valued between $1B and $2B, indicating early-stage status, while only two exceed $10B. There is a notable "speed divide": many AI/robotics startups achieved unicorn status in under three years, often via corporate spin-offs or led by star founders, while hard tech companies in semiconductors or biotech typically took over eight years. The report concludes that this wave reflects China's accelerating transition into an AI and robotics-powered innovation cycle, characterized by faster company formation, heightened geographic concentration, and a clear focus on foundational technologies.

marsbit07/06 04:50

China Added 67 New Unicorns in Half a Year, with AI and Robotics Accounting for Over Half

marsbit07/06 04:50

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