• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

We've established a new company called DeepSeek specifically for this goal. This good friend later founded a company price a whole lot of billions of dollars, named DJI. However, LLMs heavily depend on computational energy, algorithms, and data, requiring an preliminary investment of $50 million and tens of hundreds of thousands of dollars per training session, making it tough for firms not value billions to sustain. There's nonetheless, now it is a whole bunch of billions of dollars that China's putting into the semiconductor business. In the quantitative subject, High-Flyer is a "prime fund" that has reached a scale of a whole bunch of billions. Many startups have begun to adjust their methods or even consider withdrawing after main players entered the field, yet this quantitative fund is forging forward alone. 36Kr: Many imagine that for startups, entering the sector after major companies have established a consensus is not a very good timing. This means, in terms of computational energy alone, High-Flyer had secured its ticket to develop something like ChatGPT earlier than many main tech corporations. Meta isn’t alone - different tech giants are also scrambling to know how this Chinese startup has achieved such outcomes. Meta is concerned DeepSeek outperforms its yet-to-be-released Llama 4, The information reported.

"We are aware of and reviewing indications that DeepSeek might have inappropriately distilled our fashions, and can share information as we know more," an OpenAI spokesperson mentioned in a comment to CNN. In January 2025, a report highlighted that a DeepSeek database had been left exposed, revealing over one million strains of delicate information. When the shortage of high-performance GPU chips amongst home cloud providers became essentially the most direct issue limiting the birth of China's generative AI, in accordance with "Caijing Eleven People (a Chinese media outlet)," there are not more than five corporations in China with over 10,000 GPUs. China-targeted podcast and media platform ChinaTalk has already translated one interview with Liang after DeepSeek-V2 was launched in 2024 (kudos to Jordan!) In this put up, I translated one other from May 2023, shortly after the DeepSeek’s founding. OpenAI, ByteDance, Alibaba, Zhipu AI, and Moonshot AI are among the groups actively studying DeepSeek, Chinese media outlet TMTPost reported.

Nearly 20 months later, it’s fascinating to revisit Liang’s early views, which may hold the key behind how DeepSeek, regardless of limited resources and compute access, has risen to face shoulder-to-shoulder with the world’s leading AI firms. The truth is, this company, rarely viewed by the lens of AI, has long been a hidden AI giant: in 2019, High-Flyer Quant established an AI company, with its self-developed free Deep seek learning coaching platform "Firefly One" totaling almost 200 million yuan in funding, outfitted with 1,a hundred GPUs; two years later, "Firefly Two" increased its funding to 1 billion yuan, geared up with about 10,000 NVIDIA A100 graphics playing cards. General AI is likely to be one among the next massive challenges, so for us, it is a matter of find out how to do it, not why. Despite these challenges, High-Flyer remains optimistic. Within the swarm of LLM battles, High-Flyer stands out as probably the most unconventional participant. 36Kr: Are you planning to practice a LLM yourselves, or deal with a selected vertical business-like finance-associated LLMs? Since the discharge of its latest LLM DeepSeek-V3 and reasoning mannequin DeepSeek-R1, the tech community has been abuzz with excitement. Besides several main tech giants, this listing includes a quantitative fund firm named High-Flyer. Lots of the core members at High-Flyer come from an AI background.

DeepSeek CEO Liang Wenfeng, also the founder of High-Flyer - a Chinese quantitative fund and DeepSeek’s primary backer - not too long ago met with Chinese Premier Li Qiang, the place he highlighted the challenges Chinese firms face due to U.S. After greater than a decade of entrepreneurship, that is the first public interview for this rarely seen "tech geek" type of founder. Therefore, past the inevitable topics of cash, talent, and computational energy concerned in LLMs, we additionally discussed with High-Flyer founder Liang about what kind of organizational construction can foster innovation and how long human madness can last. It bypasses security measures by embedding unsafe matters amongst benign ones inside a positive narrative. In May, High-Flyer named its new unbiased group devoted to LLMs "DeepSeek," emphasizing its focus on achieving truly human-stage AI. Liang Wenfeng: We can't prematurely design purposes based mostly on fashions; we'll give attention to the LLMs themselves. Liang Wenfeng: Our enterprise into LLMs is not immediately related to quantitative finance or finance basically. The more essential secret, perhaps, comes from High-Flyer's founder, Liang Wenfeng.