DEVOURED
Meta says AI is making it easier to build new apps — and more are coming
Mark Zuckerberg credits LLMs for accelerating Meta's product development, enabling the company to build and test standalone apps at a record pace.
What: Meta is leveraging LLMs to automate content ranking, tone analysis for all Instagram posts, and engineering support. The company plans to release more standalone products following the relative success of Threads.
Why it matters: Meta is shifting its internal engineering culture to treat LLMs as core infrastructure for both product ranking and software development, moving away from previous failed incubator models like Creative Labs.
Deep dive
- Meta has pivoted to using LLMs for ranking and recommendation systems in its core products.
- Every post on Instagram (Feed and Reels) is now processed by an LLM for tone and topic analysis.
- Engineering teams use AI agents to evaluate code quality, detect product trends, and test ranking changes.
- The company is moving toward 'LLM-native' recommendation systems to scale new app launches.
- Meta is applying lessons from the growth of Threads (which reached 500 million monthly active users) to inform the release of future standalone applications.
Decoder
- LLM-native: Systems built from the ground up to operate using large language models as the primary computational or decision-making engine, rather than integrating AI into legacy software architectures.
Original article
AI is helping Meta's teams speed up product development, allowing the company to test new ideas at a quicker pace.
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