Meta Platforms Reshuffles AI Workforce: 600 Jobs Cut, Superintelligence Lab Expands

1 min read     Updated on 23 Oct 2025, 12:22 PM
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Reviewed by
Shraddha JoshiScanX News Team
Overview

Meta Platforms is restructuring its AI divisions, cutting approximately 600 jobs across Fundamental AI Research (FAIR), product-related AI, and AI infrastructure. The TBD Lab, responsible for large language model development, remains unaffected, while the superintelligence lab is expanding. This shift emphasizes Meta's focus on large language models and advanced AI capabilities. Despite the cuts, Meta's AI products reach over one billion monthly users, and the company maintains its open-source approach with the Llama system.

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*this image is generated using AI for illustrative purposes only.

Meta Platforms, the tech giant behind Facebook, is making significant changes to its artificial intelligence (AI) divisions, highlighting a strategic shift in its approach to AI development and implementation.

AI Job Cuts and Restructuring

Meta is set to eliminate approximately 600 positions across its AI departments:

Division Impact
Fundamental AI Research (FAIR) Job cuts
Product-related AI Job cuts
AI infrastructure Job cuts
TBD Lab Continued recruitment
Superintelligence lab Expanded hiring

Despite these cuts, Meta's Chief AI officer, Alexandr Wang, has encouraged affected employees to apply for other positions within the company. The majority of these employees are expected to secure alternative roles, potentially mitigating the impact of the restructuring.

Strategic Focus on Large Language Models

While trimming certain AI divisions, Meta is doubling down on its efforts in developing large language models:

  • The TBD Lab, responsible for Meta's large language model development, remains unaffected by the job cuts.
  • Meta is actively expanding its superintelligence lab, indicating a strong focus on advanced AI capabilities.

This restructuring suggests a shift in Meta's AI strategy, potentially aiming to compete more effectively with industry leaders in the realm of large language models and AI applications.

Meta's AI Reach and Open-Source Approach

Despite the restructuring, Meta's AI influence remains substantial:

  • Over one billion monthly users engage with Meta's AI products.
  • The company maintains its open-source approach with the Llama system, fostering innovation and collaboration in the AI community.

However, industry observers note that Meta may be trailing competitors in terms of consumer adoption of large language models.

Implications for the AI Industry

This move by Meta Platforms underscores the dynamic nature of the AI industry, where companies must continually adapt their strategies and resource allocation to stay competitive. As the race for AI advancements intensifies, we may see more tech giants realigning their AI divisions to focus on areas they believe will yield the most significant advancements and market impact.

The restructuring at Meta also highlights the growing importance of large language models and superintelligence research in the tech industry's AI landscape. As these areas continue to evolve, they may shape the future of AI applications and user experiences across various platforms and services.

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Meta to Leverage AI Chat Data for Personalized Content and Ads from December

1 min read     Updated on 01 Oct 2025, 07:02 PM
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Reviewed by
Shriram ShekharScanX News Team
Overview

Meta Platforms announced a new data usage policy effective December 16, allowing user interactions with AI tools to enhance content personalization and ad targeting on Facebook and Instagram. The policy applies only to Meta AI users, with no opt-out option. Meta will combine AI interactions with existing user data to refine recommendation algorithms for content, Reels, and ads. Sensitive topics will be excluded from ad targeting. The policy won't apply in the UK, EU, and South Korea. Meta AI currently has 1 billion monthly active users across Meta's apps.

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*this image is generated using AI for illustrative purposes only.

Meta Platforms, the parent company of Facebook and Instagram, has announced a significant update to its data usage policy, set to take effect on December 16. The tech giant plans to utilize user interactions with its generative AI tools to enhance content personalization and ad targeting across its popular social media platforms.

Key Points of the New Policy

  • Implementation Date: December 16, 2023
  • Notification Period: Users will be informed about these changes starting October 7
  • Opt-out Option: Users will not have the ability to opt out of these changes
  • Applicability: The policy applies exclusively to users of Meta AI

Data Usage and Personalization

Meta intends to combine AI interactions with existing user data, such as likes and follows, to refine its recommendation algorithms. This integration aims to provide more tailored experiences in various areas:

  • Content recommendations
  • Reels suggestions
  • Targeted advertising

Privacy Considerations

In an effort to address potential privacy concerns, Meta has outlined certain limitations on data usage:

  • Conversations about sensitive topics will not be used for advertising purposes. These topics include:
    • Religious views
    • Sexual orientation
    • Political views
    • Health information
    • Racial origin

Geographical Restrictions

The rollout of this new policy will not be global. Notable exclusions include:

  • United Kingdom
  • European Union
  • South Korea

Meta AI's Current Reach

Meta AI has already established a significant user base:

  • 1 billion monthly active users across Meta's suite of applications

Strategic Focus

CEO Mark Zuckerberg has emphasized the company's commitment to developing Meta AI as a leading personal AI assistant. The focus areas include:

  1. Personalization
  2. Voice conversations
  3. Entertainment

This move by Meta Platforms represents a significant step in leveraging AI interactions for a more personalized user experience. As the implementation date approaches, it will be interesting to observe how users respond to these changes and how they impact the overall social media landscape.

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