Unverified50% confidenceFactExact time
MemT-1.0 treats memory as part of foundation model computation, using architectural modifications to let the foundation model itself accumulate and recall information, rather than relying on retrieval augmentation or ultra-long context.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe inference stage of large models is memory-bound (limited by memory bandwidth); generating each token requires reading the entire model weights from VRAM, resulting in extremely low computational intensity.69% similarUnverifiedLarge models do not have true persistent memory capabilities; memory is a systems engineering construct that developers build for intelligent agents.68% similarUnverifiedThe Memory mechanism is essentially a combination of system prompt engineering and external memory storage, because mainstream large models are stateless and each API call is independent.68% similarUnverifiedOrchestration frameworks extend the practical boundaries of models by building a perception-memory-action enhancement layer outside the model, without retraining the model.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073317API
curl https://kongchang.com/api/v1/knowledge/claims/1073317MCP
get_claim(id=1073317)