Tian Yuandong says internal conflicts emerged at Meta as LLM development became the industry-wide focus. — SCMP
A former research scientist at Meta Platforms, Tian Yuandong, has shed some light on the US social media giant’s restructuring of its artificial intelligence team, while casting doubt on traditional scaling laws used in AI model development.
In an interview on the Chinese video channel Silicon Valley 101 broadcast on Wednesday, Tian – previously research scientist director at Meta FAIR, the Facebook parent’s legacy Fundamental AI Research team – said limited computing resources had triggered internal conflicts inside the group, as large language models (LLMs) became a major focus of AI development around the world.
