Llama 4被图灵奖得主曝作弊刷榜，Meta开源AI帝国一夜倾覆

Core Viewpoint - Meta's Llama 4 has been accused of manipulating benchmark results, leading to a significant decline in reputation and internal turmoil within the company [1][4][21]. Group 1: Internal Management and Team Dynamics - Yann LeCun, Meta's former chief scientist, confirmed that the team altered benchmark results to maintain rankings, indicating a lack of integrity in the development process [1][4]. - The departure of key figures like LeCun and the firing of the FAIR team highlight internal management chaos and a failure to align on technical direction [2][8]. - The new leadership, particularly Alexandr Wang, is criticized for lacking experience and understanding of research, which has contributed to the company's struggles [6][8]. Group 2: Shift in Strategic Direction - Meta is abandoning its open-source strategy in favor of a closed-source model named "Avocado," which is seen as a desperate attempt to catch up in the AI race [21][22]. - The company is integrating technologies from competitors like Google and OpenAI, indicating a shift from innovation to imitation [21][22]. - The failure of Llama 4 is attributed to a strategic misjudgment by Meta's leadership, who prioritized productization over foundational AI capabilities [13][21]. Group 3: Future Prospects - The success of the upcoming Avocado model is critical for Meta's future in AI; failure could result in a permanent loss of its competitive edge [22]. - The company's current trajectory reflects a transition from an idealistic open-source pioneer to a pragmatic follower, raising concerns about its long-term viability in the AI sector [21][22].