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AI Summary
- Will Bryk (Exa.ai) building neural PageRank alternative with $5M H200 investment to move search from links-based to embeddings-based context retrieval for LLMs
- Google's legacy PageRank architecture constrained by 400ms latency requirement, comprehensive coverage demands, and keyword-matching—creating opening for new search paradigm
- Shift from 'ten blue links' to providing context for LLM answers represents fundamental business model and technical architecture change in search