Viqus Logo Viqus Logo
Home
Categories
Language Models Generative Imagery Hardware & Chips Business & Funding Ethics & Society Science & Robotics
Resources
AI Glossary Academy CLI Tool Labs
About Contact

Meta Cuts Legacy AI Team, Doubles Down on Superintelligence

Meta AI Layoffs Research Superintelligence Hiring Tech
October 22, 2025
Viqus Verdict Logo Viqus Verdict Logo 8
Targeted Focus
Media Hype 7/10
Real Impact 8/10

Article Summary

Meta is undergoing a significant restructuring of its artificial intelligence division, reportedly axing approximately 600 roles within its Fundamental AI Research unit (FAIR), also known as TBD Lab. This downsizing primarily impacts the legacy AI research team but contrasts sharply with the company's continued investment and hiring for its newly formed superintelligence team, TBD Lab. The move follows a period of intense AI hiring spurred by a $14.3 billion investment in Scale AI and the acquisition of CEO Alexandr Wang. This strategic realignment highlights a move away from broader AI research towards a more focused, and arguably more ambitious, goal of creating artificial general intelligence. The decision aligns with broader trends in the tech industry, where companies are prioritizing development of advanced AI capabilities over more generalized research. Meta’s leadership acknowledges the benefits of a smaller, more streamlined team, anticipating fewer decision-making hurdles and increased individual impact.

Key Points

  • Meta is laying off approximately 600 employees from its FAIR research team.
  • The company is simultaneously increasing hiring for its TBD Lab superintelligence team.
  • This restructuring reflects a strategic shift towards focused AI development, prioritizing superintelligence over broader AI research.

Why It Matters

This news is significant because it reflects a broader trend within the tech industry – a move away from generalized AI research towards the pursuit of artificial general intelligence (AGI) or ‘superintelligence.’ Meta’s decision has implications for the direction of AI development, potentially accelerating the timeline for achieving AGI and influencing the priorities of other major tech companies. It’s crucial for investors, researchers, and policymakers to understand this shift as it could dramatically alter the competitive landscape of AI and impact the ethical considerations surrounding advanced AI systems.

You might also be interested in