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AI as a Partner in Research: Speeding Up Scientific Progress While Preserving Human Judgment

AI as a Partner in Research: Speeding Up Scientific Progress While Preserving Human Judgment

Bitget-RWA2025/11/20 18:34
By:Bitget-RWA

- GPT-5 accelerates scientific discovery by streamlining workflows and uncovering insights in fields like biology and mathematics, though human oversight remains essential. - Case studies show GPT-5 rapidly analyzing immunology data and linking geometry theorems to broader concepts, demonstrating its potential to expand research exploration. - While excelling at refining existing knowledge, GPT-5 struggles with originality, functioning best as a collaborative tool rather than a standalone researcher accord

GPT-5 is quickly becoming a game-changer in scientific research, as preliminary trials reveal its capacity to optimize research processes and reveal findings that would typically require months of manual investigation. Although it has not yet reached the level of an independent researcher, its application in scientific work is already proving valuable across disciplines such as biology and mathematics,

. The report illustrates how GPT-5 can support professionals in hypothesis testing, data interpretation, and even proposing innovative solutions to intricate challenges—though it stresses the necessity of human supervision to mitigate issues like hallucinations and field-specific subtleties .

For example, scientists at the Jackson Laboratory utilized GPT-5 to examine unpublished immunology trial data. The system

behind immune cell changes and that validated their theory. In another instance, a group at the same lab their newly established geometry theorem to broader mathematical frameworks, discovering interdisciplinary uses that would have otherwise required extensive literature searches. These cases highlight how the model can speed up breakthroughs by broadening the range of possibilities researchers can explore .

Nevertheless, GPT-5 does have its limitations. While it is adept at enhancing existing knowledge, it faces challenges with tasks that demand significant originality or open-ended problem-solving. For instance, although it

by spotting a missing proof element, it did not independently construct the full solution. OpenAI emphasizes that the model is most effective as a partner to human researchers, not as a substitute. "GPT-5 already serves as a rapid and highly informed reviewer," the report states, but it "is not yet ready to be considered a full co-author" .

In addition to GPT-5, other AI-powered breakthroughs are transforming scientific practices. At UC Berkeley and UCSF, scientists have introduced Pillar-0, an AI system for medical imaging that

in identifying brain CT hemorrhages. Its Atlas framework at a speed 150 times greater than standard vision transformers, making training and clinical deployment more efficient and affordable. The developers have to encourage widespread use and independent verification.

Worldwide, the movement to embed AI into scientific advancement is accelerating. In China,

the necessity of developing in-house AI expertise to promote high-quality growth during the 15th Five-Year Plan. The nation’s and large-scale AI models, such as Baidu’s 30,000 P800 Kunlun chip cluster, demonstrates a strategic emphasis on AI as a driver of innovation.

Despite these advancements, obstacles persist. Experts warn that AI should enhance—not replace—traditional scientific techniques. "Specialized simulation tools and algebra systems remain vital for accuracy," OpenAI remarks, while advanced models like GPT-5 offer "broad reasoning" that extends expertise

. The consensus among specialists is that the ideal approach is a partnership between AI and human creativity, where AI manages repetitive work and proposes new perspectives, while researchers retain responsibility for critical thinking and judgment .

As artificial intelligence continues to progress, its influence in scientific fields is expected to grow. Although GPT-5 is not yet an artificial general intelligence (AGI) or a fully autonomous research assistant, its initial uses point toward a future where AI acts as a powerful partner—accelerating discoveries while preserving the indispensable role of human expertise

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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