Unverified50% confidenceFactExact time
ARC-AGI contains 400 training problems and 400 test problems, with each problem consisting of 2–3 input-output examples and one test case to be solved.
1
Sources
50%
Confidence
Long-term
Relevance
9/5/2026
First Seen
Sources
Related Entities
Related Claims
Unverified字节跳动发布EdgeBench基准测试，用于评估自主AI Agent的长期学习能力，涵盖134个跨6大类别任务，已公开51个任务69% similarUnverifiedIn ARC-AGI-3, systems can submit tentative answers and receive feedback, thereby progressively refining their solutions through multiple iterations.67% similarUnverifiedNVIDIA's AVO system achieved a perfect score of 100% on the ARC-AGI-3 interactive reasoning benchmark.67% similarUnverifiedThe tested task was conducted over four rounds, dispatching a cumulative total of 68 sub-agents to complete batch prompt testing for a digital human writing skills module.66% similarUnverified《AI行政令》要求训练算力超过10²⁶次浮点运算（FLOP）的模型开发商向联邦政府报告安全测试结果66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/861856API
curl https://kongchang.com/api/v1/knowledge/claims/861856MCP
get_claim(id=861856)