OpenAI collaborated last December with the iroduction of the O3 artificial ielligence model with the “Arc-Agi” benchmark to better display its capabilities. Now, after a few mohs, the results of this benchmark show that the performance of this model is not as significa as expected.
Running each task at ChatGpt O3 costs about $ 30,000
Last week, the Arc Prize Ceer, which performs the benchmark tests, updated the O3 computational costs. The foundation initially estimated that solving a problem with Arc-Agi tests and using the strongest O3 model, the O3 High, would cost about $ 3,000. But now in its latest research, the ceer has announced that implemeation of each task could cost about $ 30,000.
Openai has not officially released the O3 yet, but the ceer believes that the new model should be close to the O1-Pro model, the most expensive model of the Openai artificial ielligence. “We think the O1-Prize model is the closest model in terms of cost, because both have similar computing volumes to execute tsors,” said Mike Nop, a co-founder of the Arc Prize.
Of course, given the volume of processing and O3 calculations, Openai is unlikely to be high. Of course, the model is tested in two versions “O3 High” and “O3 Low”, each of which has a differe computational capability, as its name implies.
In rece times, there have been rumors about expensive Openai projects for corporate customers. Earlier, The Information website said in a report that Openai may receive up to $ 20,000 a moh to use artificial ielligence -based factors.
While the use of artificial ielligence ages is more affordable than hiring human resources, Toby Ord, a researcher at the X platform, poied out that these models are not necessarily higher than human resources. For example, the O3 High model had to repeat the processes three times to deliver the best possible results in the task.
