OpenAI's latest AI model has demonstrated remarkable performance on the ARC-AGI test, achieving a score of 82.6% which is on par with the average human score. This significant milestone suggests a potential leap towards creating artificial general intelligence (AGI). The test measures an AI's ability to learn and adapt to new situations from limited data, a key characteristic of human intelligence. While skepticism remains, many experts believe this achievement brings AGI closer to reality.
, well above the previous AI best score of 55% and on par with the average human score. It also scored well on a very difficult mathematics test.
The result is pretty good at common tasks. It is bad at uncommon tasks, because it has less data about those tasks. What do we mean by the weakest rules? The technical definition is complicated, but weaker rules are usually ones that can be You can think of these chains of thought like programs that fit the examples. Of course, if it is like the Go-playing AI, then it needs a heuristic, or loose rule, to decide which program is best.
Artificial Intelligence Artificial Intelligence AGI Openai ARC-AGI Sample Efficiency Generalization
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