Unverified60% confidenceFactExact time
Large models are essentially just a brain with no ability to obtain external information, and they need to acquire real-time data through tool calls.
2
Sources
60%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe volume of information in global scientific research output has exceeded the upper limit of human processing capacity, making automation a necessary means of managing data and extracting hidden insights.72% similarUnverifiedA private knowledge base addresses the pain point that general-purpose large models are unaware of the user's own data.69% similarUnverifiedEarly large models in cross-source data research tasks were prone to missing key sources, numerical confusion, or broken inference chains, forcing agents to repeatedly supplement queries.68% similarUnverifiedAn inherent limitation of the synthetic data framework is the gap between artificially constructed data and real-world complexity.66% similarVerifiedLarge models lack true long-term memory; every conversation starts from scratch, and they can only compensate by relying on external databases such as RAG (Retrieval-Augmented Generation).66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/908087API
curl https://kongchang.com/api/v1/knowledge/claims/908087MCP
get_claim(id=908087)