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Meta内部混乱持续:FAIR自由不再,LeCun考虑辞职
机器之心· 2025-10-03 03:39
机器之心报道 编辑:+0 Meta 内部混战又有新剧情了,这次主角是 FAIR 实验室。 据 The Information 报道,两位知情人士透露, Meta 最近对 FAIR 实验室施加了一项新政策:所有研究成果在公开发表前,必须通过额外的内部审查。 这项政策在 FAIR 内部引起了轩然大波。多位员工认为,这一变化严重限制了他们此前享有的学术自由,即在 Meta 之外自由分享研究成果的权利。 长久以来,开放的研究氛围一直是 FAIR 吸引顶尖人才的基石。然而,随着 Meta 全面重塑其 AI 业务,公司开始要求 FAIR 更多地为内部产品服务,同时减少可能 助益竞争对手的外部研究分享。 这些变化让 FAIR 的联合创始人 Yann LeCun 深感困扰。据知情人士称,他甚至在九月份私下向同事透露, 或许应该辞去首席科学家的职位。 LeCun 的不满早有征兆,几个月来,他对公司新成立的、统管所有 AI 业务的Meta 超级智能实验室(MSL)的内部状况已日益失望。 今年 7 月,MSL 任命了来自 OpenAI 的研究员赵晟佳担任首席科学家。一位知情人士称,LeCun 对于外界「他已被降职」的看法感到十分恼 ...
是的,LeCun要向28岁的Alexandr Wang汇报!这是Meta新AI团队的一些独家内部消息
机器之心· 2025-07-11 02:43
Core Viewpoint - Meta's aggressive recruitment strategy in the AI sector has raised questions about its sustainability and the potential impact on company culture and performance [2][24]. Group 1: Recruitment and Team Structure - Meta has made headlines by offering exorbitant salaries, reportedly up to $200 million for key talent, to attract AI experts from competitors like OpenAI and Apple [3][4]. - The newly formed Meta Superintelligence Labs (MSL), led by Alexandr Wang, is a focal point of interest regarding its operational structure and research direction [5]. - There is a significant internal restructuring, with high-level executives being allowed to recruit their own teams, which may lead to internal competition and integration challenges [21][22]. Group 2: Internal Dynamics and Culture - Concerns have been raised about the impact of these changes on Meta's corporate culture, with reports of a "fear culture" emerging due to performance evaluations and ongoing layoffs [24]. - A lack of clear vision and strategic confusion has been noted, particularly within the Llama team, where many employees are unclear about the company's goals [24]. - The retention rate of top talent recruited from other companies is low, indicating potential issues with employee satisfaction and organizational stability [24]. Group 3: Research Focus and Distinctions - The Fundamental AI Research (FAIR) division operates independently from the GenAI and MSL teams, focusing on long-term foundational research rather than product development [8][16]. - The Llama team, initially part of FAIR, has been transitioned to the GenAI product group following the success of Llama1, highlighting the distinction between exploratory research and product-oriented development [15][16]. - The controversy surrounding the Llama 4 model, including allegations of "ranking cheating," has raised questions about Meta's technical reputation and credibility in the AI field [24].