SAN FRANCISCO, June 11 — A recent incident on a company-wide call has exposed growing frustration among employees in Meta’s Applied AI team, which was formed in March to support AI researchers at Meta Superintelligence Labs. The team, comprising about 6,500 engineers and product managers, has been assigned tasks that some employees describe as menial, including generating puzzles to test AI models. One employee notes that these tasks are easy compared to their previous software development work, but feel soul-crushing.
“Most people find the work soul-crushing,” an employee says. A sharp contrast exists between the expectations and reality of working on AI projects.
A leader acknowledges the need to reassess their approach, stating that AI “is neither god, nor is it the devil” and that its capabilities and limitations are often misunderstood.
He also notes that AI “is nowhere near as good as you think it is, and it is nowhere near as bad as you think it is,” and that “it changes every week … and it doesn’t know what day of the week it is.” Meta CEO Mark Zuckerberg has acknowledged the distress caused by recent organizational changes in an internal memo. He writes, “Given the complexity of these changes, we’ve made mistakes and will almost certainly make more,” and expresses his focus on providing stability going forward.
The situation within Meta’s Applied AI team is a reflection of the broader challenges in developing and implementing AI technologies. As the company continues to navigate these complexities, it is essential to prioritize the needs and concerns of its employees. By doing so, Meta can work towards creating a more stable and productive environment for its AI researchers and developers.
An employee describes the tasks assigned to the Applied AI team as feeling menial, highlighting the disconnect between the team’s capabilities and the work they are being asked to do.
This sentiment is shared by “almost all” employees, who seem unhappy with their current assignments. As Meta moves forward, it will be crucial to address these concerns and find ways to leverage the skills and expertise of its employees more effectively.
Looking ahead, it will be important to watch how Meta addresses the challenges facing its Applied AI team and works to create a more positive and productive work environment.
With the company’s commitment to providing stability and acknowledging the complexities of its organizational changes, there is potential for growth and improvement in the development of AI technologies.
