Never Lose Your Deepseek Again

In this article, we are going to present a complete exploration of DeepSeek AI, its technology, applications, and its implications for the way forward for AI. Liang Wenfeng: We goal to develop basic AI, or AGI. DeepSeek CEO Liang Wenfeng, additionally the founding father of High-Flyer - a Chinese quantitative fund and Free DeepSeek’s major backer - just lately met with Chinese Premier Li Qiang, the place he highlighted the challenges Chinese firms face attributable to U.S. Many startups have begun to adjust their methods and even consider withdrawing after main gamers entered the field, yet this quantitative fund is forging ahead alone. This implies, when it comes to computational power alone, High-Flyer had secured its ticket to develop one thing like ChatGPT earlier than many main tech firms. Regarding the secret to High-Flyer's development, insiders attribute it to "deciding on a group of inexperienced however potential people, and having an organizational construction and company culture that allows innovation to happen," which they consider can be the key for LLM startups to compete with main tech corporations. After graduation, in contrast to his friends who joined major tech corporations as programmers, he retreated to an affordable rental in Chengdu, enduring repeated failures in various scenarios, finally breaking into the complex area of finance and founding High-Flyer.

36Kr: Many imagine that for startups, coming into the sector after main corporations have established a consensus is now not a very good timing. Both main corporations and startups have their alternatives. Liang Wenfeng: Currently, it seems that neither major corporations nor startups can quickly set up a dominant technological advantage. With OpenAI leading the way in which and everyone constructing on publicly obtainable papers and code, by subsequent yr at the newest, both major corporations and startups could have developed their own massive language models. There isn't any question that it represents a major enchancment over the state-of-the-artwork from simply two years ago. When the shortage of high-performance GPU chips amongst domestic cloud suppliers became probably the most direct issue limiting the delivery of China's generative AI, in keeping with "Caijing Eleven People (a Chinese media outlet)," there are not more than five corporations in China with over 10,000 GPUs. There are others as effectively. As Chinese AI startup DeepSeek draws attention for open-supply AI fashions that it says are cheaper than the competitors while offering comparable or higher performance, AI chip king Nvidia’s stock worth dropped as we speak. Meta isn’t alone - other tech giants are additionally scrambling to grasp how this Chinese startup has achieved such outcomes.

OpenAI, ByteDance, Alibaba, Zhipu AI, and Moonshot AI are among the many groups actively studying DeepSeek, Chinese media outlet TMTPost reported. China-targeted podcast and media platform ChinaTalk has already translated one interview with Liang after DeepSeek-V2 was launched in 2024 (kudos to Jordan!) On this put up, I translated another from May 2023, shortly after the DeepSeek’s founding. Its CEO hardly ever speaks publicly, so every interview and assertion is scrutinized. After greater than a decade of entrepreneurship, this is the first public interview for this hardly ever seen "tech geek" kind of founder. For these quick on time, I additionally recommend Wired’s newest characteristic and MIT Tech Review’s coverage on DeepSeek r1. Besides several main tech giants, this listing includes a quantitative fund company named High-Flyer. Within the quantitative field, High-Flyer is a "high fund" that has reached a scale of a whole lot of billions. Why would a quantitative fund undertake such a process? 36Kr: Why do you outline your mission as "conducting analysis and exploration"?

36Kr: Recently, High-Flyer announced its choice to enterprise into building LLMs. 36Kr: Are you planning to prepare a LLM yourselves, or give attention to a selected vertical business-like finance-associated LLMs? However, LLMs heavily depend upon computational power, algorithms, and data, requiring an initial funding of $50 million and tens of thousands and thousands of dollars per coaching session, making it troublesome for corporations not worth billions to sustain. Therefore, the developments of outside firms comparable to DeepSeek are broadly part of Apple's continued involvement in AI analysis. Therefore, beyond the inevitable matters of cash, expertise, and computational power concerned in LLMs, we also mentioned with High-Flyer founder Liang about what kind of organizational construction can foster innovation and the way lengthy human madness can last. Moreover, in a field thought of highly dependent on scarce expertise, High-Flyer is trying to collect a group of obsessed people, wielding what they consider their best weapon: collective curiosity.

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