Inside Meta's AI Drama: Internal Feuds Over Compute Power

An anonymous reader shares a report: Meta Platforms' releases of its large-language models, Llama and Llama 2, in the past six months have won the company praise for offering free, open-source alternatives to models from OpenAI and Anthropic. But for some of the scientists and engineers who worked on Llama, that praise was too little, too late. Many have quit, embittered by a previously unreported internal battle over computing resources with another Meta research team working on a rival model that the company ultimately abandoned, according to people with direct knowledge of the matter. Their departures are a reminder of the simmering tensions over shortages of computing power that both big and small tech companies are grappling with in developing generative AI, which requires specialized chips that aren't freely available. Big tech firms have more computing resources than most, and some, like Meta, highlight that fact when recruiting AI researchers. But even they are limited in what they can supply. The exodus also highlights the challenges for big tech companies in retaining highly prized AI researchers as demand for AI talent surges. More than half the 14 authors of the original Llama research paper published in February have left the company, several for AI startups or other big companies, the people with direct knowledge said.

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