Kimi's Bold Leap: Challenging OpenAI with k0-math in the AI Race
In recent developments, Yang Zhiling, the founder of the promising AI unicorn, has embarked on a significant endeavor poised to challenge industry giant OpenAI. Despite being embroiled in a legal arbitration issue five days ago, Yang remains focused on advancing his company's technological capabilities. A year since Kimi's services became accessible to the public, the company has now introduced substantial technological advancements.
Yang revealed during a media briefing on November 16th that the paradigm of scaling has evolved. The upcoming phase emphasizes scaling through reinforcement learning, diverging from merely enlarging models. The underlying goal is to empower AI with thinking and exploratory abilities beyond token prediction limitations. In light of this, Kimi launched k0-math, a math model designed to nurture AI's deep thinking capabilities through mathematical scenarios, marking its first model aimed at enhancing reasoning capabilities.
This novel approach positions Kimi in direct competition with OpenAI's cutting-edge technology. In various benchmark tests, k0-math's mathematical aptitude rivals the o1 series by OpenAI. Specifically, the initial version of k0-math has outperformed the o1-mini and o1-preview models in several academic and competitive math assessments. However, Kimi's pursuit of OpenAI faces challenges, particularly evident in tougher contests such as OMNI-MATH and AIME, where k0-math reached up to 90% and 83% of o1-mini's top scores respectively.
The company has commenced efforts to commercialize k0-math, integrating reinforcement learning into the Kimi Exploration edition to facilitate more intricate searches. Yang highlights that this edition demonstrates significant advances in search intent, source analysis, and chain thinking. Furthermore, there's an ambition to expand k0-math's applications within educational contexts, spanning K12, university, and competitive spheres.
Since its inception in March 2023, Kimi's parent company has rapidly emerged as a notable AI unicorn, marked by major technological strides and valuations, drawing investment from industry giants and achieving noteworthy market traction. Kimi's active user base surpassed 36 million in October, an achievement that places it firmly in the upper echelon of AI applications, albeit still lagging behind some of its international competitors.
The company's shift towards reinforcement learning, coupled with upcoming multimodal product releases currently in beta testing, promises to attract a broader user base. Yang is determined to carve a path in AI, steering his company toward Artificial General Intelligence (AGI) amidst this global race. In conclusion, Kimi's journey represents a burgeoning challenge to OpenAI, underscoring a broader narrative of innovations and ambitions within the AI landscape.