OpenAI Charts Ambitious Path to Autonomous AI Researchers by 2028

Reviewed byNidhi Govil

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OpenAI CEO Sam Altman reveals plans for AI research interns by 2026 and fully autonomous AI researchers by 2028, marking a significant step toward artificial general intelligence while restructuring as a public benefit corporation.

OpenAI's Autonomous AI Research Goals

OpenAI CEO Sam Altman and Chief Scientist Jakub Pachocki announced a clear timeline for autonomous AI research: "intern-level" assistants by September 2026 and fully autonomous "legitimate AI researchers" by March 2028

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. This ambitious plan is supported by the company's recent transition to a public benefit corporation, aiming to solidify its long-term development strategy.

Source: TechCrunch

Source: TechCrunch

Developing Advanced AI Research Capabilities

The 2026 AI intern is expected to serve as an advanced analytical tool, capable of reviewing academic literature, comparing findings, and identifying new research avenues for human oversight. By 2028, OpenAI aims for AI systems that can independently generate hypotheses, design experiments, and validate results before presenting their discoveries

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. These systems are anticipated to significantly accelerate scientific and technological progress through deep learning.

Source: NDTV Gadgets 360

Source: NDTV Gadgets 360

Unprecedented Compute Scaling and Investment

OpenAI's strategy hinges on continuous algorithmic innovation and a massive increase in "test time compute" – the computational power dedicated to problem-solving. The company plans to extend AI task horizons from hours to months or years, potentially dedicating entire data centers to tackle single, complex research problems

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. This scaling is backed by a $1.4 trillion infrastructure commitment over the coming years, with the non-profit OpenAI Foundation retaining 26% ownership and securing a $25 billion pledge for health-related AI

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Source: TechRadar

Source: TechRadar

Overcoming Challenges Towards Superintelligence

Significant technical challenges remain, particularly in achieving absolute AI accuracy and eliminating "hallucinations." Critics argue that constant human verification will be necessary until AI reaches near-perfect reliability, impacting efficiency

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. Despite these hurdles, Pachocki projects these developments as a pathway to "superintelligence" – AI systems surpassing human intellect – potentially within a decade

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