tech
January 28, 2026
Knowledge vs. Intelligence: The Role of Semantic Search Technology
This AI research blog post explores the distinction between knowledge and intelligence and how our neural network search engine provides the foundational "superknowledge" for AI applications.
TL;DR
- Superknowledge, the ability to handle complex retrieval requests, is more important than superintelligence, which handles complex reasoning.
- Current AI models have high intelligence but limited knowledge, relying on outdated search engines that also struggle with simple knowledge retrieval.
- Superknowledge would allow instant access to comprehensive information, accelerating progress in fields like medicine, research, engineering, and journalism.
- A lack of comprehensive knowledge is a significant societal threat, leading to wrong decisions and inefficiencies, a problem amplified by increasingly capable AI agents.
- Superknowledge is presented as a solution to ensure that both humans and AIs are well-informed, leading to safer and more efficient societal navigation.
- The author's team at Exa is actively working on building superknowledge, believing it is achievable within a few years and is a more attainable goal than superintelligence.