Why Meta’s AI Pioneer Yang Li‑kun Is Being Marginalized: Power Struggles Behind the Scenes

Yang Li‑kun’s Sudden Demotion

One night, Yang Li‑kun, a Turing‑award winning AI pioneer, found himself reporting to a 28‑year‑old newcomer after Meta’s CEO Mark Zuckerberg invested $148 billion to acquire a new AI leader.

Yang, who has served Meta for 12 years, now faces a younger boss and feels the sting of being sidelined.

Meta’s Talent‑Buying Blitz

Zuckerberg has been spending heavily to reshape Meta’s AI division, poaching senior talent from Apple, OpenAI, Google and Anthropic with multi‑hundred‑million‑dollar packages.

These moves have upset many in the AI community, with OpenAI’s chief researcher publicly expressing frustration over the talent drain.

Yang Li‑kun’s Role at Meta

Since joining Meta in 2013, Yang led the core AI research projects, including open‑source frameworks, new agentic systems, and robotics‑AI integration.

In June, Meta spent $148 billion to acquire a 49 % stake in Scale AI, appointing its 28‑year‑old CEO Alexander Wang as chief AI officer, effectively placing a new head over Yang’s FAIR team.

FAIR’s Rise and Fall

Yang founded FAIR, which under his leadership produced breakthroughs such as ResNet (2015) and PyTorch (2016), and achieved major advances in computer vision and NLP.

However, Zuckerberg’s push for rapid commercialisation conflicted with Yang’s preference for incremental, open research.

Strategic Conflict Over Model Direction

Yang advocates building “world models” that understand physical reality, while Meta’s new Super‑Intelligent Lab focuses on large language models (LLMs) like GPT‑4, which are largely closed‑source.

Yang remains skeptical of LLMs, arguing they are merely statistical approximations lacking true understanding.

Llama 4’s Disappointment

Meta’s release of Llama 4, a 2‑trillion‑parameter model, received harsh criticism for underperforming in coding ability and context length, leading many engineers to abandon the model.

Rumours suggest internal disagreement over research philosophy contributed to the model’s failure.

Yang’s Vision vs. Business Reality

Yang’s recent work on the JEPA architecture aims to create models that grasp physical laws, but this long‑term research clashes with Zuckerberg’s demand for immediate commercial impact.

Meta’s shift toward product‑focused engineers and product managers reflects a preference for short‑term gains over foundational research.

Broader Implications

The story highlights the tension between academic excellence and commercial pressures in AI, echoing similar dilemmas faced by other pioneers such as Geoffrey Hinton and Demis Hassabis.

Yang’s experience underscores how even the most celebrated scientists can become “cogs” when corporate goals diverge from research ideals.