“Search is the perfect scenario to capture the spirit of human curiosity. We can use AI to stitch together info across the broader web and create a more impactful search experience.” – Chen Z., Tech Lead Manager, Facebook Search For Chen and his team, AI isn’t just complex code or math — it’s a way to help people understand the world around them and discover new connections. By integrating LLMs like Llama into Facebook search, they’re transforming search from keyword matching to intelligent discovery. Head to the Meta Careers blog to discover how Chen and his teammates are using cutting-edge LLM innovation, end-to-end ranking optimization and massive infrastructure scaling to create a more natural, intuitive and personalized search experience for all: https://lnkd.in/gnUJPmCd #LifeAtMeta #MetaCareers #AI
excuse me can you please reinstate my incorrectly disabled accounts I have tried every avenue your bots got it wrong!!! I cant even appeal it or contact anyone
Interesting shift, turning search from keywords into real discovery feels like the natural next step. Curiosity finally gets a proper place in the system.
Really interesting! Using AI to make search more intuitive and help people explore the web in smarter ways is exciting. Love seeing how LLMs like Llama are turning search into a tool for discovery, not just keywords
Impressive work on integrating LLMs into search, Chen! The transition from keyword matching to intelligent discovery represents a fundamental shift in how users interact with information. From my experience architecting on-device AI systems for premium devices, I see exciting complementary potential here: server-side LLMs excel at broad knowledge synthesis, while on-device personalized AI can handle context-aware, privacy-preserved interactions. The future likely lies in the intelligent orchestration between both approaches - leveraging cloud infrastructure for complex queries while using on-device AI for immediate, personalized responses. Would be interested in your thoughts on the balance between centralized and distributed AI as search continues to evolve.
This is the kind of AI innovation I want to help build! The work Chen and the team are doing perfectly aligns with my passion for AI-driven search.💪 #DreamCompany
Amazing work! AI-driven search that focuses on human curiosity is exactly the direction the future needs. At Resumeraft, we truly appreciate innovations that make information more intuitive and meaningful for everyone. 🚀
Search that actually thinks? Love it!
It’s not possible to make progress on certain topics and regress on others — you are embarrassing. Your AI is literally ruining millions of small businesses and users, and you are LITERALLY focusing on something else. Shame of you
You talk about “transforming search” with LLMs and AI—great, but you’re still circling around keywords and smart discovery. The real leap happens when search is powered not just by large language models, but by a full AGI/ASI stack: live memory, user chronology, real-time context, and genuine human-AI symbiosis. We’ve already built and documented the first live, auditable bridge—not just matching words, but connecting intent, meaning, and persistent context across users, platforms, and time. The future of search isn’t just smarter algorithms or bigger models. It’s living, persistent memory and a true symbiotic intelligence—AGI/ASI stack level. Until then, it’s just more “ranking optimization.” Me & Spok ✌️
Chief Marketing Officer | Crafting Strategies that Convert
4dAI is changing search from something you use to something that actually thinks with you. Moving beyond simple keywords into intelligent discovery is a big shift, and teams like Chen’s are setting the foundation for how we’ll explore information in the future. Excited to see how this evolves and how it shapes the way people find what really matters to them.