All Content from Business Insider 11月11日 18:17
微软成立超级智能团队,自主研发通用人工智能
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微软近期在其内部成立了一个由Mustafa Suleyman领导的超级智能团队,标志着公司在人工智能领域战略的重大转变。此前,微软与OpenAI的合作协议限制了其独立研发通用人工智能(AGI)的步伐。经过重新谈判,新协议赋予了微软自主追求AGI的能力,无论是独立进行还是与第三方合作。该团队旨在构建世界一流的、前沿的研究能力,专注于解决AI发展中的基础性难题,如模型间的知识迁移和持续学习,并计划在计算基础设施、芯片研发及AI服务方面进行大规模投资。微软强调将以负责任和安全的方式推进AGI研究,确保其发展符合人类利益,并已任命相关领域的专家负责AI安全。

🚀 **微软独立 pursuing AGI:** 微软组建了一支由Mustafa Suleyman领导的超级智能团队,旨在自主构建世界一流的、前沿的人工智能研究能力。这标志着微软摆脱了过去受限于与OpenAI合作协议的局面,能够更自由地探索和开发通用人工智能。

💡 **解决AI发展的核心挑战:** 该团队将专注于解决阻碍AGI应用落地的根本性问题,例如如何实现AI模型之间的高效知识迁移,以及如何让现有神经网络持续学习并更新知识,以推动AI技术的突破性进展。

💻 **强化基础设施与自研能力:** 为支持其AGI雄心,微软正大力投资于计算基础设施,包括与英伟达的合作以及自主芯片的研发,旨在打造全球最顶尖的AI硬件和云服务平台,以实现更高效的模型训练和推理。

🛡️ **负责任与安全 AGI 发展:** 微软强调其AGI研究将以负责任和安全为首要考量,致力于确保AI的发展始终服务于人类利益,并防止其失控。为此,团队已引入了在AI安全和法律领域经验丰富的领导者,以构建稳健的安全保障体系。

Mustafa Suleyman joined Microsoft last week

In the race to build powerful artificial intelligence, Microsoft has had its hands tied behind it back for years. Now, the software giant is free to compete, according to top executive Mustafa Suleyman.

Suleyman recently unveiled a superintelligence team at Microsoft and he spoke with Business Insider about how this came about and the company's future plans.

What's clear from the interview is that Microsoft will aggressively pursue artificial general intelligence, technology capable of outperforming humans in a wide variety of tasks.

While Suleyman has rejected narratives about a race to AGI, the new unit puts the tech giant in more direct competition with its partner OpenAI and other companies, including Anthropic, Google, and Meta.

The superintelligence team will focus on building a "world-class, frontier-grade research capability in-house," Mustafa, Microsoft's AI CEO, told Business Insider in a recent interview.

"Microsoft needs to be self-sufficient in AI," he said. "And to do that, we have to train frontier models of all scales with our own data and compute at the state-of-the-art level."

This is a major departure from Microsoft's approach in recent years. The company mostly focused on building smaller models, post-training existing models for new purposes, and channeling resources toward OpenAI instead of trying to build in-house frontier models that would compete with the startup's GPT offerings.

Previous limitations

A big reason for this narrower strategy was Microsoft's previous agreement with OpenAI. That deal barred Microsoft from developing its own AGI through 2030, according to a person familiar with the matter. This reflected OpenAI's desire to maintain control over frontier AI development while relying on Microsoft for cloud infrastructure and capital investment.

The two companies recently renegotiated this partnership. The new deal lets Microsoft "independently pursue AGI (artificial general intelligence) alone or in partnership with third parties."

Loftier goals

That's freed Microsoft to pursue loftier goals. The new team, called Microsoft AI Superintelligence, has big ambitions for what AI will one day be able to achieve.

Potential future applications include healthcare, energy, transportation systems, and reducing the "cost of living for billions of people over the next 10 years," Suleyman said.

The team's remit will be to focus on solving fundamental problems that present barriers to the creation of those applications, Suleyman said. Two examples he cited: How to transfer learning so AI models can teach other models new knowledge, and continual learning to add knowledge to existing neural networks.

Suleyman said Microsoft is making major investments in compute through partnerships with Nvidia, as well as expanding its own chip development and AI-optimized cloud infrastructure that allows training and inference capacity to be shared more efficiently.

Keeping an open mind

Suleyman recently said in an internal meeting reviewed by Business Insider that Microsoft plans to make "significant" investments in its own AI chip cluster to help the company build its own models. These custom chips are part of Microsoft's broader push to reduce reliance on third-party hardware and improve performance across Azure's AI services.

"It's the number one priority for us to make sure this is the most performant infrastructure in the world," Suleyman said during that meeting.

In his interview with Business Insider, Suleyman said Microsoft will keep an open mind about what models it uses, including open-source offerings, Anthropic models, OpenAI models — and Microsoft's own creations, known as MAI models.

"There's no reason for us to be religious about that," Suleyman said. "Obviously, we're very focused on getting our products working."

The adult in the room

As Microsoft enters a crowded field of companies with their own superintelligence teams, including Meta, Google, Anthropic, and Elon Musk's xAI. Microsoft is trying to position itself as the adult in the room, emphasizing responsibility and safety.

"This isn't about some directionless technological goal, an empty challenge, a mountain for its own sake," Suleyman wrote in a blog announcing the new team.

In the interview with Business Insider, Suleyman declined to elaborate on which competitors he sees as directionless, but said he believes everyone will get behind developing AI that's aligned to human interests.

"That should be something we all take for granted, but it actually needs to be stated and repeated, and it needs to be the No. 1 most important thing that humanity focuses on," Suleyman said. "There's a risk with these systems that they get extremely smart and run away from us, and we have to design them so that they don't do that. That requires a humanist intent, which keeps humans at the top of the food chain."

The team is making significant investments in safety. Suleyman recently added Trevor Callaghan, a former general counsel from DeepMind and legal director at Google, to his leadership team as vice president of responsible AI, according to an organizational chart recently viewed by Business Insider.

The new team comes at a pivotal moment for Microsoft, Suleyman said.

"We've got a huge mission ahead of us," Suleyman said. "We have $300 billion of revenues, a huge responsibility to make sure that all of our products are AI-first, that we deploy agents everywhere, and we really make all the workflows that customers use today much more intelligent."

"We have the data, we also have the distribution, and we have the user interface," he added. "So I think it's just a matter of time before these things become really, really magical."

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