Unverified50% confidenceBenchmarkExact time
In a 128k context measurement, the O-series' residual state memory is 1008 times smaller than conventional approaches.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedAcross eleven datasets spanning images, tabular data, and text, Phase-HDC reduces memory by 16–23× compared to standard float32 Adam and by 4–6× compared to 8-bit Adam.61% similarUnverifiedMainstream GPU inference solutions based on the NVIDIA H100 can typically only achieve tens to one or two hundred tokens per second on models of equivalent scale.60% similarUnverifiedThe computational complexity of the standard self-attention mechanism is proportional to the square of the context length (O(n²)), meaning extending the context from 100K to 1M theoretically increases computation by 100 times.58% similarUnverifiedEven when a model supports a context window of 128K or longer, its effective utilization rate is far below the theoretical upper limit.58% similarUnverifiedgpt-oss-120b scored 0.625, lower than gpt-oss-20b's 0.720, indicating that a larger model does not necessarily mean a safer one.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1067223API
curl https://kongchang.com/api/v1/knowledge/claims/1067223MCP
get_claim(id=1067223)