Unverified50% confidenceBenchmarkExact time
The Harness+policy mode still falls below the per-task performance ceiling of each component running alone, for reasons including suboptimal policy invocation, lack of subgoal decomposition in fixed instruction execution, and interference with grasping when the agent regains control.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/27/2026
First Seen
Valid until: 1/25/2027
Sources
Related Entities
Related Claims
UnverifiedPushing workloads onto efficiency cores causes those tasks to execute more slowly; this is a physical trade-off that the app cannot eliminate.76% similarUnverifiedAs models grow stronger on long-horizon tasks, they require less scaffolding at the harness layer.72% similarUnverifiedThe complexity of the Harness is an inverse function of model capability — the stronger the model, the thinner the Harness and the shorter the developer message.72% similarUnverifiedSkill uses an on-demand loading mechanism and does not reside in memory permanently; details are expanded only when a relevant task triggers it, so its context usage is very small.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1102975API
curl https://kongchang.com/api/v1/knowledge/claims/1102975MCP
get_claim(id=1102975)