Unverified50% confidencePredictionExact time
ZHA has the potential to extend the effective context window to hundreds of millions or even billions of tokens, but this conclusion comes from model reasoning and experimental extrapolation and is a directional judgment.
1
Sources
50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
Related Entities
Related Claims
Unverified随着模型参数规模从亿级扩展到千亿级，LLM展现出涌现能力，包括多步推理、类比迁移和不确定性表达68% similarUnverifiedThe appeal of latent world models lies in their high computational efficiency and suitability for long-horizon rollouts; the Dreamer series and methods based on the Joint Embedding Predictive Architecture (JEPA) both belong to this lineage.67% similarUnverifiedZHA maintains performance on long-context retrieval and on evaluation tasks such as reasoning, math, and agentic coding.67% similarUnverifiedThe core proposition of ZGCM-1 is that compact models can break through parameter capacity limitations by coupling deliberate internal thinking with active external tool invocation.65% similarUnverifiedChain-of-thought techniques only produce significant effects on large models with more than 100 billion parameters.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1125738API
curl https://kongchang.com/api/v1/knowledge/claims/1125738MCP
get_claim(id=1125738)