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DeepSeek's open-source models challenge U.S. tech
dominance
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Liang says DeepSeek's focus on research different from
most
Chinese tech firms
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China's AI industry cannot forever follow the United
States,
Liang says
By Eduardo Baptista
BEIJING, Jan 28 (Reuters) - Liang Wenfeng, the
39-year-old founder of Chinese AI startup DeepSeek, has in the
matter of weeks become the face of China's tech industry and its
hope of overcoming an ever-tightening noose of export controls
imposed by the United States.
Liang had kept an extremely low profile until Jan. 20, when
he was one of nine individuals asked to give a speech at a
closed-door symposium hosted by China's Premier Li Qiang.
He gave two rare media interviews to Chinese media outlet
Waves last year and in 2023, but apart from that has stayed
mostly out of the public eye. DeepSeek did not respond to a
request for an interview.
At the symposium, the millennial's youthful appearance
contrasted with the grey-haired academics, officials and
state-owned conglomerate heads sat around him, pictures and
video published by Chinese broadcaster CCTV showed.
But the fact Liang was invited to share his opinions on
Chinese government policy highlights Beijing's recognition of
DeepSeek's role in potentially upending the global AI order, in
China's favour.
DeepSeek launched a free AI assistant last week that the firm
says uses less data at a fraction of the cost of current
services, triggering a global selloff in tech stocks.
Last year, Baidu ( BIDU ) CEO Robin Li spoke at a similar symposium
chaired by the Chinese premier. Li, who announced China's first
ChatGPT rival in March 2023, said in an interview that same year
China would never recreate Microsoft-backed OpenAI's success and
that Chinese firms should focus on applying existing AI models
for commercial purposes.
Under Liang's leadership, DeepSeek deliberately avoided
app-building. Instead, it concentrated research talent and
resources on creating a model that could match, or better
OpenAI, and it hopes in the future to continue focusing on
cutting-edge models that will be used by other companies to
build consumer and enterprise-facing AI products.
Liang's approach stood out in a Chinese tech industry that
was used to taking innovations from abroad, from smartphone apps
to electric vehicles, and quickly scaling them up, often much
faster than the countries where the inventions were first made.
"China's AI can't be in the position of following forever.
We often say that there is a gap of one or two years between
China's AI and the United States, but the real gap is the
difference between originality and imitation," Liang said in an
interview with Waves in July last year.
Liang's interviews reveal a belief that China's tech
industry had reached a crossroads where it lacked the confidence
but not the capital needed to engage in fundamental R&D
breakthroughs.
'CURIOSITY AND DESIRE TO CREATE'
"In the past thirty years, (China's tech industry) has only
emphasized making money, and ignored innovation. Innovation is
not solely driven by business, it also needs curiosity and a
desire to create," he said in July.
DeepSeek has taken the decision to make all its models
open-source, unlike its U.S. rival OpenAI. In open-source
models, the base code is publicly available for any developer to
use and modify at will.
Liang's interviews reveal he has bought into the open-source
culture that U.S. tech insiders previously argued was one reason
the U.S.'s Silicon Valley held an edge over its Chinese
counterparts.
"Even if OpenAI is closed-source, it cannot stop others from
catching up...Open-source is like a cultural practice, rather
than a business practice...a company that does this will have
soft power."
Liang grew up in the southern city of Guangdong, which
during the eighties and nineties led the country in adopting
market capitalism. Liang said back then he was surrounded by
people who valued starting a business over studying, but he was
more academically inclined.
He would go on to enrol in the elite Zhejiang University at
age 17, majoring in Electronics and Communication Engineering
before pursuing a master's degree in Information and
Communication Engineering, which he completed in 2010.
Liang then co-founded a quantitative hedge fund in 2015,
which uses complex mathematical algorithms for trading as
opposed to human analysis.
The fund's portfolio totalled over 100 billion yuan ($13.79
billion) by the end of 2021 but in April 2023, it announced on
its WeChat account that it would expand its remit beyond the
investment industry and concentrate resources to "explore the
essence of AGI". DeepSeek was created a month later.
OpenAI defines AGI (Artificial general intelligence) as
autonomous systems that surpass humans in most economically
valuable tasks.
DeepSeek's employees are mainly graduates and PhD students
from China's top universities, whom Liang believes prefer to
work for DeepSeek because it is tackling the biggest challenges
in AI.
"What attracts the best talent is obviously the solving of
the world's hardest problems," he said in July.
"Our goal is still to go for AGI."
($1 = 7.2507 Chinese yuan renminbi)