Research
Schema Harness 在 ARC-AGI-3 公开集上取得约 99% 成绩
Frontier Models with Our Harness Achieve ~99% on ARC-AGI-3 Public — Schema
schema-harness.github.ioOpen sourceRecommended because
This is worth tracking because it is a concrete research signal, not just a passing headline. The original source is useful for validating the details behind the headline. For builders and operators, "Schema Harness 在 ARC-AGI-3 公开集上取得约 99% 成绩" can be used as a checkpoint for technical due diligence, roadmap bets, agent design, and evaluation strategy. I keep this thread indexed so future searches around AI research papers, technical methods, and applied AI systems can land on a source-linked page instead of disappearing into a fast-moving feed from schema-harness.github.io.
What to take from this signal
Context
"Schema Harness 在 ARC-AGI-3 公开集上取得约 99% 成绩" is archived here as a source-linked AI signal from schema-harness.github.io. The useful part is the connection between Schema, Harness, ARC-AGI-3, 公开集上取得约, 框架在 and technical due diligence, roadmap bets, agent design, and evaluation strategy, which makes the item more actionable than a normal feed headline. The source context says: Schema 框架在 ARC-AGI-3 公开集上，使用 Claude Opus 4.8 和 Fable 5 达到 99% RHAE 分数，使用 GPT-5.6 Sol 达到 95.35%。该框架不修改模型权重，而是将原始观测转化为可编辑程序，联合解决状态归因和机制发现问题。此前最强模型 GPT-5.6 Sol 在半私有集上仅得 7.78%。
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around technical feasibility, evaluation design, safety limits, and product primitives. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
schema-harness.github.io remains the authoritative source for the original claim. This page adds a stable archive URL, a short builder interpretation, and related search language so the item can be found later when the original feed has moved on.
Search angles
- Schema Harness 在 ARC-AGI-3 公开集上取得约 99% 成绩 Research context
- schema-harness.github.io AI research
- Schema, Harness, ARC-AGI-3, 公开集上取得约, 框架在 builder takeaway
- AI research papers, technical methods, and applied AI systems
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.