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After Wednesday’s Meta layoffs which lower 11,000 workers, CEO Mark Zuckerberg publicly shared a message to Meta workers that signaled, to some, that these working in synthetic intelligence (AI) and machine studying (ML) is perhaps spared the brunt of the cuts.
“We’ve shifted more of our resources onto a smaller number of high priority growth areas — like our AI discovery engine, our ads and business platforms, and our long-term vision for the metaverse,” Zuckerberg wrote.
However, a Meta analysis scientist who was laid off tweeted that he and your entire analysis group known as “Probability,” which centered on making use of machine studying throughout the infrastructure stack, was lower.
The group had 50 members, not together with managers, the analysis scientist, Thomas Ahle, mentioned, tweeting: “19 people doing Bayesian Modeling, 9 people doing Ranking and Recommendations, 5 people doing ML Efficiency, 17 people doing AI for Chip Design and Compilers. Plus managers and such.”
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Another member of the group, a senior software program engineer named Emily McMilin, responded by tweeting, “It took me almost 7 years at Meta to find a team as amazing as Probability.”
In his letter to workers (which got here only a few weeks after Meta shares plummeted after its Q3 earnings name) Zuckerberg did observe that he’s at present in the midst of a “thorough review” of infrastructure spending.
“As we build our AI infrastructure, we’re focused on becoming even more efficient with our capacity,” he wrote. “Our infrastructure will continue to be an important advantage for Meta, and I believe we can achieve this while spending less.”
According to Meta’s Probability internet web page, the group makes “it radically easier for engineers to adopt machine learning techniques by deeply integrating machine learning into Facebook’s programming languages, developer tooling, and infrastructure.”
Commenting on life after the Meta layoffs, Ahle added that after a 12 months and a half on the Meta group, “I hope to stay in the Bay Area a while longer, if anyone needs some algorithms.”
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