it's really over. the best human result in the arc-agi test is 85%, o3 ai achieves 87.5% in this test. details:   b-breakthrough the key point about these tasks is the ability to deal with problems that are not present in the training dataset. so far, all llms have looked for similarities in their latent space and hence tasks like those in the arc-agi test were not possible for them. o3, on the other hand, is able to deal with problems that are not present in the training dataset and has the ability to understand abstract relationships and regularities in tasks that have never been seen before... screenshot - example of an arc-agi test task that this ai could not solve. collection of all tasks that this ai could not solve:   p/ you can find such tasks to try out yourself here:  
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