San Francisco – The goal is preparing to launch a new artificial intelligence research laboratory dedicated to pursuing “superintelligence”, a hypothetical AI system that surpasses human brain capabilities, while the technology giant struggles to stay competitive in technological race, according to four people with knowledge of the company’s plans.
The goal recruited Alexandr Wang, 28, founder and CEO of the startup of Ai Scale Ai, to join the new laboratory, the sources said, and is in negotiations to be part of an agreement that would also bring other scale staff AI to the goal.
The goal has offered remuneration packages ranging from seven to nine digits to dozens of AI leading companies, such as OpenAi and Google, with some accepting to join the company, according to sources.

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The new laboratory is part of a greater reorganization of the AI efforts of the goal, the sources said. The company, which owns Facebook, Instagram and WhatsApp, has recently faced internal technology -related management difficulties, as well as employee turnover and various product launches that were unsuccessful, according to two of the sources.
Mark Zuckerberg, CEO of Meta, has invested billions of dollars to turn his company into an AI power. Since OpenAi, the technology industry has been running to build increasingly powerful IAS. Zuckerberg has driven the incorporation of AI into its products, including its intelligent glasses and a recently launched app, the AI goal.
Keeping in the race is crucial for goal, Google, Amazon and Microsoft, as technology will probably be the future of the industry. Giants have invested money in startups and their own AI laboratories. A, while a.
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These companies also spent billions to and license their technologies. Last year, Google agreed to pay $ 3 billion to license technology and hire Character.ai technologists and executives, a startup that develops chatbots for personal conversations.
In February, Zuckerberg, 41, called the AI ”potentially one of the most important innovations in history.” He added: “This year will define the course for the future.”
Meta and Scale there preferred not to comment.
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Superintelligence is considered by leading researchers as a futuristic goal of AI development. Openai, Google and others claim that their immediate goal is to build “general artificial intelligence” (agrame), which is a machine that can accomplish any task that the human brain can do, an ambition without a clear path to success. The superintelligence, if developed, would go beyond AG in power.
The goal invests in AI for over a decade. Zuckerberg created the first laboratory dedicated to the company’s AI in 2013, after losing to Google in an attempt to purchase a seminal startup called Deepmind, which today is the core of Google AI efforts.
Since then, Goal research efforts have been supervised by AI scientist Yann Lecun, who is also a professor at New York University. Lecun is a pioneer of neural networks, the technology that drives chatgpt and similar systems.
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After the launch of ChatgPT, which generated a huge interest in AI, the goal allocated additional resources to pursue technology. Created a group of Generative AI, led by Ahmad Al-Dahle, vice president of the company. Lecun’s research group also started working on what he considers the next generation of AI.
Lecun, who was one of three Ia researchers to win the Turing Award in 2018, often called Computer Nobel Prize, is highly respected in the countryside. But their opinions on AI differ from others in Silicon Valley. While some believe that current technologies will reach AG in the coming years, Lecun says that it is necessary to fully new ideas to achieve this ambitious goal.
One of the target strategies for gaining ground in IA has been to “open the code” of your software, basically making available your AI code for free and others to adopt your tools. The company has launched a model of Open Source, Llama, and its product chatbot, the goal there.
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The Ai Meta has been incorporated into Facebook, Instagram and WhatsApp, as well as in Ray-Ban smart glasses. In May, Zuckerberg stated that more than 1 billion people used the goal there every month.
More recently, the AI division has lost employees to competing companies, according to two people familiar with the subject. The exits were the result of the exhaustive pace of product development, conflicts between team leaders and a tight job market.
In April, Zuckerberg announced two new versions of the goal’s Ai Llama models, which, according to him, performed equal to or greater than comparable models of OpenAi and Google, according to test benchmarks compiled by the goal. Soon after, external researchers found that the goal benchmarks were designed to make a product more sophisticated than it really was.
Some developers were outraged by what they considered a goal maneuver. But not as much as Zuckerberg, who was upset to learn that people thought he was trying to cover the bad performance of the latest release, according to two of the sources.
Now the goal is that Wang will help the company resume the lead in the AI race. She needs to act with caution. The Federal Commission of Commerce (FTC) recently led the goal to trial in a Federal Court for its Instagram and WhatsApp acquisitions.
An investment agreement with unusual structure with Scale AI can help the goal circumvent some of these concerns.
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