‘Not a big part of the work’: Meta’s LLM bet has yet to touch its core ads business

Using large language models for ranking is a future bet, not a current reality at Meta. 

The company’s CFO Susan Li made the admission at the Morgan Stanley Technology, Media and Telecommunications conference in San Francisco on Wednesday (March 4). In an industry where execs routinely overstate how far along their AI transformation actually is, Li’s candor was notable.

Meta runs one of the most sophisticated content and advertising targeting systems ever built. Every time someone opens Instagram or Facebook, algorithms decide in milliseconds what they see. That system, known internally as ranking and recommendation, is the invisible engine behind the company’s $160 billion-plus annual revenue. It is also, according to Li, not yet meaningfully powered by LLMs — the same class of tech behind ChatGPT, Claude and Gemini.

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Future of TV Briefing: How Paramount’s and Warner Bros. Discovery’s ad tech stacks stack up

This week’s Future of TV Briefing breaks down Paramount’s and Warner Bros. Discovery’s ad tech stacks now that the companies seem set (finally) to combine.

  • Streaming stacks
  • Netflix’s exit, WBD’s town hall, CNN’s future and more

Streaming stacks

Paramount plans to combine its and Warner Bros. Discovery’s streaming services after Paramount+’s owner completes its acquisition of HBO Max’s parent. But what about the companies’ other technologies? By that, I mean their respective ad tech stacks.

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