A new framework called Schema has been introduced, designed to evaluate large language models. Early reports suggest that Schema, when used with models like Fable+4.8 and GPT 5.6 Sol, achieved impressive scores of 99% and 95.35% respectively on the ARC-AGI 3 benchmark. However, a clarification indicates these scores were achieved on the public dataset, and performance on a held-out set remains to be seen. AI
IMPACT This framework could provide a new standard for evaluating LLM capabilities on complex reasoning tasks.
RANK_REASON The item describes a new framework for evaluating LLMs and reports benchmark scores, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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