All Content from Business Insider 09月18日
Meta AI 招聘人才的四大核心优势
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Meta AI 实验室负责人 Alexandr Wang 分享了其吸引顶尖 AI 人才的策略。他强调,Meta 拥有强大的计算能力,能够支持构建数十亿美元级别的计算基础设施来训练模型。同时,Meta 汇聚了一支“人才密度极高”的团队,成员均是 AI 领域的佼佼者。尽管团队规模相对较小(约 100 人),但 Wang 认为这种紧凑的结构有利于推动研究。此外,Meta 展现出“极其大胆”的魄力,并依托其庞大的产品和业务规模,有能力将超级智能部署到全球用户。Meta 近期在 AI 人才招聘上投入巨大,尽管近期出现了一些组织调整,但其吸引顶尖人才的战略依然清晰。

🚀 **强大的计算资源支持:** Meta 拥有支持构建数十亿美元级别计算基础设施的能力,这为其训练大规模 AI 模型提供了坚实的物质基础,是吸引顶尖人才的重要筹码。Wang 提到,Meta 的业务模式能够支撑这种巨大的投入。

🌟 **顶尖人才汇聚的团队:** Meta 致力于打造一个“人才密度极高”的团队,要求成员在其他 AI 实验室中也属于“顶尖少数”。这种对人才质量的极致追求,为研究人员提供了与同行精英合作交流的宝贵机会。

🎯 **精干高效的团队结构:** 尽管 Meta 的 AI 团队规模相对较小(约 100 人),但 Wang 认为这种精干的结构是其优势所在,能够更有效地推动研究进展,并避免大团队可能带来的效率低下问题。

💡 **“极其大胆”的愿景与规模化部署能力:** Meta 敢于设定“极其大胆”的目标,并拥有庞大的产品和业务生态系统,能够将研发成果(如超级智能)大规模地推向全球用户,这为研究人员提供了将理论转化为实际影响的广阔平台。

Meta AI lab chief Alexandr Wang says his pitch to AI talent boils down to these things: Meta's compute power, its talent, the size of the team, and being "incredibly bold."

If you're a "hotshot" AI scientist, Meta chief AI officer Alexandr Wang just made his latest pitch to woo you to his team.

Tech talk show TBPN asked Wang on Wednesday about how he would recruit for the team he's building, Meta Superintelligence Labs.

"I think Meta has everything necessary to achieve superintelligence," Wang said on TBPN. "There are no obstacles."

His pitch boils down to four things: Meta's compute power, talent, team size, and boldness.

First off, Wang said, Meta has plenty of compute power to train AI models.

Meta tweaked its capital expenditure guidance for the year as the AI race intensifies. The tech giant said in its most recent quarterly earnings that it adjusted the bottom of its capex range to $66 million, up from $64 million, and kept the top of the range at $72 million.

"We have the business model to support building literally hundreds of billions of dollars of compute to be able to actually produce the technology," Wang said.

Second, Wang said that Meta has an "incredibly talent-dense team." He said one guideline for building the team is that MSL members need to be in the "very top handful" of other AI labs.

Wang said that the team of about 100 people is smaller than that of other AI labs. Zuckerberg previously said that a smaller team was ideal for driving research.

"Truly having this incredibly talent-dense team is going to prove to be a huge differentiator," Wang said.

Wang shared how his team would be structured, with teams focusing on research, product, and infrastructure. Wang had previously shared the MSL team structure in an internal memo, Business Insider previously reported.

"We're going to be incredibly bold, and we have the scale of products and businesses to be able to deploy superintelligence to every person on the planet," Wang said on TBPN.

Meta's hot AI hiring summer

Meta has been on an aggressive — and expensive — AI talent hiring spree. In June, it made headlines for $100 million signing bonuses to lock down hires in the cutthroat AI race.

The competition reached another level when Meta recruited Wang in June as part of a $14.3 billion deal to take a 49% stake in Scale AI.

But Meta slowed its hiring spree last month. In a statement to Business Insider, Meta called the hiring freeze in its artificial-intelligence division "basic organizational planning."

The Meta spokesperson said the company is "creating a solid structure for our new superintelligence efforts after bringing people on board and undertaking yearly budgeting and planning exercises."

The Wall Street Journal, which first reported the freeze, said it also bars employees in the division from transferring across teams. The Journal added that the duration of the freeze hasn't been communicated internally.

Read the original article on Business Insider

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Meta AI AI招聘 计算能力 人才密度 超级智能 Meta AI AI Recruitment Compute Power Talent Density Superintelligence
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