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AGI testThe Conversation
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81% Informative
OpenAI ’s o3 system scored 85% on the ARC-AGI benchmark.
It was trained’ on millions of examples of human text, constructing probabilistic “rules” about which combinations of words are most likely.
The ability to accurately solve previously unknown or novel problems from limited samples of data is known as the capacity to generalise.
Almost everything about o3 remains unknown, including how it learns from language.
If that is how o3 works, then the underlying model might not be much better than previous models.
We will require new benchmarks for AGI itself and serious consideration of how it ought to be governed.
If not, then this will still be an impressive result.
VR Score
81
Informative language
78
Neutral language
62
Article tone
informal
Language
English
Language complexity
47
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
10
Source diversity
5
Affiliate links
no affiliate links