Ex-Intel CEO Pat Gelsinger shares 3 reasons why DeepSeek is a big learning lesson for us
DeepSeek's launch of its open-source AI reasoning model, R1, has sent shockwaves through the tech industry. In just a short time, it surpassed OpenAI’s ChatGPT in popularity on the App Store. The groundbreaking model’s performance and affordability have prompted strong reactions, including from Pat Gelsinger, former CEO of Intel. On X (formerly Twitter), Gelsinger shared his thoughts on R1’s impact, drawing lessons from computing history that he believes the AI community must embrace.
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Three Key Lessons from Computing History
Gelsinger’s praise for DeepSeek's innovation revolves around three critical lessons drawn from the evolution of computing. He wrote:
“Wisdom is learning the lessons we thought we already knew. DeepSeek reminds us of three important learnings from computing history:
- Computing obeys the gas law – Making it dramatically cheaper will expand the market for it. The markets are getting it wrong, this will make AI much more broadly deployed.
- Engineering is about constraints – The Chinese engineers had limited resources, and they had to find creative solutions.
- Open Wins – DeepSeek will help reset the increasingly closed world of foundational AI model work. Thank you DeepSeek team.”
These points, he suggests, offer a roadmap for the future of AI. Gelsinger also took the opportunity to thank
