The latest AI model from OpenAI achieved an “impressive leap in performance” but it still hasn’t demonstrated what experts classify as human-level intelligence
. But even as ARC Challenge organisers described o3’s achievement as a major milestone, they also cautioned that it has not won the competition’s grand prize – and it is only one step on the path towards AGI, a term for hypothetical future AI with human-like intelligence.
OpenAI’s newly announced o3 model – which is scheduled for release in early 2025 – achieved its official breakthrough score of 75.7 per cent on the ARC Challenge’s “semi-private” test, which is used for ranking competitors on a public leaderboard. The computing cost of its achievement was approximately $20 for each visual puzzle task, meeting the competition’s limit of less than $10,000 total.
The o3 model also failed to solve more than 100 visual puzzle tasks, even when OpenAI applied a very large amount of computing power toward the unofficial score, said Mike Knoop, an ARC Challenge organiser at software company Zapier, in a social mediaat the Santa Fe Institute in New Mexico said the following about o3’s progress on the ARC benchmark: “I think solving these tasks by brute-force compute defeats the original purpose”.
However, Chollet described how we might know when human-level intelligence has been demonstrated by some form of AGI. “You’ll know AGI is here when the exercise of creating tasks that are easy for regular humans but hard for AI becomes simply impossible,” he said in the blog post.at Oregon State University suggests another way to recognise AGI. “Those architectures claim to include all of the functional components required for human cognition,” he says.
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