[AI]OpenAI faces diminishing returns with latest AI model

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is facing diminishing returns with its latest AI model while navigating the pressures of recent investments.

According to

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, OpenAI’s next AI model – codenamed Orion – is delivering smaller performance gains compared to its predecessors.

In employee testing, Orion reportedly achieved the performance level of GPT-4 after completing just 20% of its training. However, the transition from GPT-4 to the anticipated GPT-5 is said to exhibit smaller quality improvements than the leap from GPT-3 to GPT-4.

“Some researchers at the company believe Orion isn’t reliably better than its predecessor in handling certain tasks,” stated employees in the report. “Orion performs better at language tasks but may not outperform previous models at tasks such as coding, according to an OpenAI employee.”

Early stages of AI training usually yield the most significant improvements, while subsequent phases typically result in smaller performance gains. Consequently, the remaining 80% of training is unlikely to deliver advancements on par with previous generational improvements.

This situation with its latest AI model emerges at a pivotal time for OpenAI, following a recent funding round that saw the company raise $6.6 billion. With this financial backing comes increased expectations from investors, as well as technical challenges that complicate traditional scaling methodologies in AI development.

If these early versions do not meet expectations, OpenAI’s future fundraising prospects may not attract the same level of interest.

The limitations highlighted in the report underline a significant challenge confronting the entire AI industry: the diminishing availability of high-quality training data and the necessity to maintain relevance in an increasingly competitive field.

According to

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(PDF) that was published in June, AI firms will deplete the pool of publicly available human-generated text data between 2026 and 2032. The Information notes that developers have “”largely squeezed as much out of” the data that has been used for enabling the rapid AI advancements we’ve seen in recent years.

To address these challenges, OpenAI is fundamentally rethinking its AI development strategy.

“In response to the recent challenge to training-based scaling laws posed by slowing GPT improvements, the industry appears to be shifting its effort to improving models after their initial training, potentially yielding a different type of scaling law,” explains The Information.

As OpenAI navigates these challenges, the company must balance innovation with practical application and investor expectations. However, the ongoing

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from the company won’t help matters.

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