Expired65% confidenceFactExact time
Native large language models have shortcomings including no persistent memory, knowledge cutoff dates, inability to access the internet, and inability to read local files or call external tools.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/11/2026
First Seen
Valid until: 10/9/2026(expired)
Sources
Related Claims
UnverifiedNative large models cannot autonomously access the internet or call external tools, nor can they read data from local or enterprise databases.75% similarUnverifiedLarge models are essentially just a brain with no ability to obtain external information, and they need to acquire real-time data through tool calls.66% similarUnverifiedCurrent LLM models cannot provide accurate data provenance, and technologies such as data provenance tracking, watermarking, federated learning, and differential privacy are still at the research stage.66% similarUnverifiedAn expanded context window does not equate to improved memory capability, as the model is still unable to precisely retrieve and associate historical information the way a database can.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/488549API
curl https://kongchang.com/api/v1/knowledge/claims/488549MCP
get_claim(id=488549)