Artificial general intelligence (AGI) is a field of theoretical AI research that attempts to create software with human-like intelligence and the ability to self-teach. The aim is for the software to be able to perform tasks that it is not necessarily trained or developed for, as per AWS.
He added that the company is likely to keep its most advanced AI models open-source, arguing that open-source development and commercial monetisation are not mutually exclusive.
Notably DeepSeek gained global attention early last year after its low-cost V3 and R1 models challenged assumptions about China’s ability to compete with US AI leaders despite Washington’s restrictions on advanced chip exports.
The company recently completed its first fundraising round at a valuation of about $52 billion, marking a shift from its long-standing strategy of rejecting external capital. The move comes amid growing competition from domestic rivals, including ByteDance, Moonshot and Z.ai.
Liang said access to computing power remains the company’s biggest challenge, adding that the main gap with the US is access to resources rather than technical know-how.
He also said DeepSeek plans to build its own large AI computing clusters in the future, but has not decided whether to develop its own AI chips. “I hope to be able to buy chips at a reasonable price so that I don’t have to make chips myself,” Liang was quoted as saying.
However the Reuters report noted that while the US has restricted exports of some of the most advanced AI chips to China, it has not added DeepSeek, Chinese memory chipmaker CXMT and more than 100 other companies identified as national security risks to a trade blacklist, in an effort to avoid escalating tensions with Beijing.
Also Read: China’s DeepSeek developing its own AI chip, sources say
