Unverified50% confidencePredictionExact time
As model scale grows, the boundaries of success patterns will shift, but the decomposability dimension may remain valid over the long term.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAs model capabilities improve, the tension between capability and alignment becomes increasingly pronounced, and the consequences of alignment failure are correspondingly amplified.76% similarUnverified在收敛型任务上，模型达到一定规模后存在明显的性能饱和现象，即scaling law的收益递减区间75% similarUnverifiedAccording to the original text, although domain adaptation methods have made considerable progress in recent years, there is still a significant gap in model performance under domain shift scenarios.73% similarUnverifiedModels will keep getting better, context windows will keep expanding, and per-token costs will keep falling, but none of this changes the fundamental engineering challenge of building systems that act correctly when no one is watching.72% similarUnverifiedLarge-scale deployment of diffusion models requires finding a commercially acceptable balance between throughput and latency.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1090575API
curl https://kongchang.com/api/v1/knowledge/claims/1090575MCP
get_claim(id=1090575)