Unverified50% confidenceBenchmarkExact time
UC Berkeley research tested 7 frontier models on a variety of harnesses and found that for newer, smarter models, the choice of harness made no significant difference in SWE-bench Lite scores.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/21/2026
First Seen
Valid until: 1/19/2027
Sources
Is the Agent Harness Dead? A Cursor Engineer's Deep Dive
bilibiliMaiYangAI10/21/2026
Related Entities
Related Claims
UnverifiedThe combination of a lightweight model plus maximum Effort can often approach the perceived performance of a flagship model plus medium Effort.62% similarUnverifiedIn controlled single-run pre-training comparison experiments, the model trained on the Edu-QuRating-curated mixture achieved higher overall observed accuracy across nine benchmarks than the FineWeb-Edu baseline model, with performance gains concentrated on specific tasks.62% similarUnverifiedThe study introduces a method selector that picks the most suitable model for each training-size–target-size combination; the results cover all nine seen training-test size pairs, all at lower cost than the reference model.61% similarUnverifiedExperiments show that DoRA outperforms standard LoRA on multiple tasks while having a comparable number of trainable parameters60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1081667API
curl https://kongchang.com/api/v1/knowledge/claims/1081667MCP
get_claim(id=1081667)