China Stresses Tech Self-reliance Target

Chinese Premier Li Keqiang speaks at the news conference following the closing session of the National People's Congress (NPC), at the Great Hall of the People in Beijing, China March 20, 2018. REUTERS/Jason Lee/File Photo
Chinese Premier Li Keqiang speaks at the news conference following the closing session of the National People's Congress (NPC), at the Great Hall of the People in Beijing, China March 20, 2018. REUTERS/Jason Lee/File Photo
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China Stresses Tech Self-reliance Target

Chinese Premier Li Keqiang speaks at the news conference following the closing session of the National People's Congress (NPC), at the Great Hall of the People in Beijing, China March 20, 2018. REUTERS/Jason Lee/File Photo
Chinese Premier Li Keqiang speaks at the news conference following the closing session of the National People's Congress (NPC), at the Great Hall of the People in Beijing, China March 20, 2018. REUTERS/Jason Lee/File Photo

China's science and technology policies should aim to build the country's strength and self-reliance, while companies take the lead in pushing innovation, Premier Li Keqiang said on Sunday.

The country effectively countered external attempts to suppress and contain China’s development over the past five years by promoting development of the real economy through innovation and fostering new drivers of growth, Li said, without naming any countries.

China is under increasing pressure from the United States, which has cited national security in restricting access to Chinese semiconductors and artificial intelligence technology.

President Xi Jinping has urged the nation to strengthen its self-reliance in science and technology and continue to strive as a global tech power.

"Scientific and technological policies should aim at building up our country’s strength and self-reliance in science and technology," the outgoing premier said in his work report to the opening of the annual meeting of China's parliament.

"The new system for mobilizing resources nationwide should be improved, we should better leverage the role of the government in pooling resources to make key technological breakthroughs and enterprises should be the principal actors in innovation."

According to Reuters, Li said China should accelerate the research and development of cutting-edge technologies and promote their application. The development of the platform economy should be supported and regular oversight conducted, he added.

The platform economy comprises China's largest tech companies, such as Alibaba Group and Tencent Holdings. Such firms were the targets of a long, bruising regulatory crackdown that Beijing says it is now easing.

China's finance ministry and its state planner, the National Development and Reform Commission (NDRC), published reports on Sunday that underlined their support for these goals.

The finance ministry said it would boost special funds for the industrial and manufacturing sectors by 4.4 billion yuan this year to 13.3 billion yuan ($1.93 billion), to support areas such as integrated circuits. It announced 6.5 billion yuan for science and tech advancement at the local level, an increase of 2 billion yuan.

The NDRC said it would accelerate the construction of hard tech infrastructure, including in artificial intelligence, 5G and big data, and promote the healthy development of instant-delivery online retail and e-commerce livestreaming, key marketing channels for China's consumer sector.

It said it would consolidate China's "leading position" in areas such as electric vehicles and solar panels, where the country occupies key places in the global supply chain.

Still, the state planner warned that China's supply chains faced the risk of numerous bottlenecks and "chokepoints", saying government would plan and implement a number of major science and technology projects to increase the country's strength in the "frontiers of international competition".



Meta Spending Big on AI Talent but Will It Pay Off?

Meta chief executive Mark Zuckerberg's controlling interest in the tech titan frees him to have the company invest heavily in artificial intelligence efforts. Nathan Howard / GETTY IMAGES NORTH AMERICA/AFP
Meta chief executive Mark Zuckerberg's controlling interest in the tech titan frees him to have the company invest heavily in artificial intelligence efforts. Nathan Howard / GETTY IMAGES NORTH AMERICA/AFP
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Meta Spending Big on AI Talent but Will It Pay Off?

Meta chief executive Mark Zuckerberg's controlling interest in the tech titan frees him to have the company invest heavily in artificial intelligence efforts. Nathan Howard / GETTY IMAGES NORTH AMERICA/AFP
Meta chief executive Mark Zuckerberg's controlling interest in the tech titan frees him to have the company invest heavily in artificial intelligence efforts. Nathan Howard / GETTY IMAGES NORTH AMERICA/AFP

Mark Zuckerberg and Meta are spending billions of dollars for top talent to make up ground in the generative artificial intelligence race, sparking doubt about the wisdom of the spree.

OpenAI boss Sam Altman recently lamented that Meta has offered $100 million bonuses to engineers who jump to Zuckerberg's ship, where hefty salaries await, reported AFP.

A few OpenAI employees have reportedly taken Meta up on the offer, joining Scale AI founder and former chief executive Alexandr Wang at the Menlo Park-based tech titan.

Meta paid more than $14 billion for a 49 percent stake in Scale AI in mid-June, bringing Wang on board as part of the deal.

Scale AI labels data to better train AI models for businesses, governments and labs.

"Meta has finalized our strategic partnership and investment in Scale AI," a Meta spokesperson told AFP.

"As part of this, we will deepen the work we do together producing data for AI models and Alexandr Wang will join Meta to work on our superintelligence efforts."

US media outlets have reported that Meta's recruitment effort has also targeted OpenAI co-founder Ilya Sutskever; Google rival Perplexity AI, and hot AI video startup Runway.

Meta chief Zuckerberg is reported to have sounded the charge himself due to worries Meta is lagging rivals in the generative AI race.

The latest version of Meta AI model Llama finished behind its heavyweight rivals in code writing rankings at an LM Arena platform that lets users evaluate the technology.

Meta is integrating recruits into a new team dedicated to developing "superintelligence," or AI that outperforms people when it comes to thinking and understanding.

'Mercenary'

Tech blogger Zvi Moshowitz felt Zuckerberg had to do something about the situation, expecting Meta to succeed in attracting hot talent but questioning how well it will pay off.

"There are some extreme downsides to going pure mercenary... and being a company with products no one wants to work on," Moshowitz told AFP.

"I don't expect it to work, but I suppose Llama will suck less."

While Meta's share price is nearing a new high with the overall value of the company approaching $2 trillion, some investors have started to worry.

Institutional investors are concerned about how well Meta is managing its cash flow and reserves, according to Baird strategist Ted Mortonson.

"Right now, there are no checks and balances" with Zuckerberg free to do as he wishes running Meta, Mortonson noted.

The potential for Meta to cash in by using AI to rev its lucrative online advertising machine has strong appeal but "people have a real big concern about spending," said Mortonson.

Meta executives have laid out a vision of using AI to streamline the ad process from easy creation to smarter targeting, bypassing creative agencies and providing a turnkey solution to brands.

AI talent hires are a long-term investment unlikely to impact Meta's profitability in the immediate future, according to CFRA analyst Angelo Zino.

"But still, you need those people on board now and to invest aggressively to be ready for that phase" of generative AI, Zino said.

According to The New York Times, Zuckerberg is considering shifting away from Meta's Llama, perhaps even using competing AI models instead.

Penn State University professor Mehmet Canayaz sees potential for Meta to succeed with AI agents tailored to specific tasks at its platform, not requiring the best large language model.

"Even firms without the most advanced LLMs, like Meta, can succeed as long as their models perform well within their specific market segment," Canayaz said.