Intel CEO agrees with Nvidia CEO and ex- Meta chief AI scientist on open-source models
Intel's CEO, Lip-Bu Tan, recently voiced his endorsement for open-source artificial intelligence at an industry discussion. He pointed out how the rapid adoption of Chinese AI platforms is driven by cost efficiency. Tan posits that an open architecture model will boost innovation and efficiency. Advocates like Yann LeCun and Jensen Huang share this perspective, and Tan predicts that quantum…
Intel CEO Lip-Bu Tan has expressed strong support for open-source artificial intelligence (AI) models, aligning with the viewpoints of Meta's former chief AI scientist, Yann LeCun, and Nvidia CEO Jensen Huang. Addressing an industry panel on October 12 hosted by DBS, Tan highlighted the rapid growth and cost benefits of open frontier systems originating in China.
He described open architecture as the key driver for technological efficiency. According to Tan, Chinese frontier AI platforms like DeepSeek, Kimi, and GLM are experiencing swift global adoption due to their low token running costs, despite delivering functional results considered "good enough." Tan emphasized his belief in open source as the optimal path to enhance efficiency, stating that commercial markets will ultimately decide which model architectures provide the most value for specific applications.
Regarding future computing hardware, Tan projected that quantum computing may achieve widespread commercial adoption within the next three to five years. He noted that software will be crucial in managing the infrastructure required to run quantum computing efficiently.
Tan's endorsement of open-source AI models places him in agreement with influential figures in the semiconductor and AI research fields who advocate for open ecosystems alongside closed, proprietary systems. The computer scientist and former Meta chief AI scientist Yann LeCun has been a prominent advocate for open-source artificial intelligence models since 2023.
LeCun maintained that open source AI models will soon outperform closed systems, forming the foundation of the future AI landscape. His vision includes a small number of open-source inference code, free pre-trained base models, and crowd-sourced fine-tuned models, upon which customized (potentially closed-source) products will be built. LeCun has consistently promoted open-source AI models through social media and various interviews.
Nvidia's CEO, Jensen Huang, recently echoed Tan's sentiments, emphasizing the importance of open models in an open letter signed by the company. In his X (previously Twitter) post, Huang highlighted the transformative impact of AI across industries and its role in powering companies and countries. He stressed that open models enhance safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. Huang concluded by encouraging individuals to assess their AI capabilities through the AIQ test.
Written by urgent.news from Times of India's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
