Samsung, SK will work on AI chips
OpenAI’s artificial intelligence chatbot, named ChatGPT, not only takes the world by surprise but also prompts South Korean tech giants, including Samsung Electronics, to move fast.
The country’s internet giant Naver announced on Feb. 3 that it would come up with a competitor of GhatGPT, short for generative pre-trained transformer, before June this year.
“We are checking new search trends like the generative AI, which is now winning lots of attention. We are set to launch our own upgraded version of SerachGTP in the first half,” Naver CEO Choio Soo-yeon told the earnings call for the fourth quarter of 2022.
ChatGPT, which came to town last November to attract more than 100 million active monthly users from across the world, also prompts South Korean chipmakers to scramble.
Microsoft, which already invested $100 million in ChatGPT, is expected to funnel more than $1 billion dollar in the free chatbot system developed by California-based OpenAI.
Samsung Electronics vowed to develop optimized semiconductor solutions, which can meet the exponential growth of artificial intelligence in data volumes.
“Natural language-based chatbot AI services are expected to positively affect the future demand of memory chips,” Samsung Electronics Vice President Kim Jae-joon told a conference call on Jan. 31 after disclosing its fourth-quarter performance.
“To support functions of AI technology-based models, high-performance processors, and high-capacity memory chips are indispensable.”
As the world’s largest memory chipmaker stresses the significance of AI semiconductors, runner-up player SK hynix followed suit during its conference call on Feb. 1.
“In terms of scalability and commercialization, ChatGPT appears to have big potential,” SK hynix Vice President Park Myung-soo told the earnings call.
“In line with the development of web 3.0 and related technological advancement, it is expected to influence not merely the memory industry but also other businesses.
There are various definitions of web 3.0. Many observers expect that web 3.0 will make use of machine learning and AI on top of decentralized applications like blockchain-based solutions.