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Just stumbled upon some fascinating research that might be the AI equivalent of quantum leap! Researchers have developed a new model that reasons in stages rather than solving complex problems in one computational burst. The real game-changer? This approach dramatically cuts down on token usage – something that’s been a major bottleneck in current AI systems. While top models can take over a minute to complete tasks that humans solve intuitively, this new framework makes reasoning much more efficient. The implications are huge: The model scored 95.68 on math-500 and 82 on AIME – proving efficiency doesn’t mean sacrificing capability! What do you think? Could this represent the future of AI development? Is efficiency more important than raw power? Would you prefer AI that reasons more like humans? Source: helpingai.co submitted by /u/Quiet-Moment-338 |
