Sam Altman confirmed that GPT-5 will not debut on expected timelines, citing concerns with the model's ability to effectively process and synthesize vast amounts of data.
Despite vast internet data access, significant limitations were uncovered during training, revealing that quantity does not equate to quality in AI development.
The 'Arrakis' testing phase highlighted major inefficiencies in the model's processing abilities, transforming technical issues into critical considerations for both time and resource allocation.
In response to these challenges, OpenAI is shifting its strategy by collaborating with domain experts to create high-quality training datasets, aiming to exceed traditional methods.
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