2 posts tagged with "agents"

Perplexity published a technical report on their production search infrastructure, which now handles 200 million queries daily. The most interesting part is not the benchmark numbers (they win). It is the thesis baked into every design decision: search built for AI models is a fundamentally different system than search built for humans. This distinction has deep implications for what the internet becomes next.

BrowseComp is one of the hardest benchmarks for LLM-based search agents. It requires deep, multi-hop web research where the agent must plan, search, read, and synthesize across dozens of interactions. Three recent papers attack this problem from fundamentally different angles: context management, data quality, and verification. Together they paint a clear picture of what it takes to build a frontier search agent today.