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AI surpasses human cognitive abilities, Stanford report shows

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AI surpasses human cognitive abilities, Stanford report shows

Significant advances in AI are challenging human cognitive abilities, according to a recent report from Stanford University. The report, published by the Human-Centered Artificial Intelligence Institute (HAI), highlights the exponential growth of AI, surpassing humans in various cognitive competencies and setting new records in tasks that were once considered exclusive to human intelligence.

The report emphasizes that AI has already exceeded humans in important benchmarks, such as image classification, basic reading comprehension, visual reasoning, and natural language inferences. One example cited in the report is the impressive performance of a GPT-4-based model, which solved 84.3% of 12,500 challenging mathematical problems, compared to the human baseline of 90%.

In Visual Common Sense Reasoning (VCR), AI has shown significant progress, reaching 81.60, approaching the human baseline of 85. This advancement demonstrates the ability of machines to interpret and predict situations in visual contexts with increasing accuracy.

Despite these advances, challenges persist in the domain of truthfulness and error-free content generation. The report highlights instances of AI-generated inaccuracies leading to real-life consequences, such as in the case of attorney Steven Schwartz, who faced a fine for using AI-generated content in legal documentation. Additionally, while AI models have improved in providing truthful answers, they still face challenges such as “hallucinations” where they present false or misleading information as fact.

Looking towards the future, the report raises concerns about the safety, reliability, and ethics of AI, urging for the development of more secure, reliable, and ethically responsible AI systems. As we navigate this period of unprecedented acceleration in AI adoption and refinement, the focus remains on creating a positive and impactful relationship between humans and machines.

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In terms of investment, the report notes a surge in interest in generative AI, with the sector attracting USD 25.2 billion in 2023, almost nine times more than the previous year. The United States leads private investment in AI, with USD 67.2 billion invested in 2023, significantly ahead of China and the United Kingdom.

Industry players, particularly Google, are leading innovation in AI by introducing a significant number of fundamental models. Since 2019, Google has launched the largest number of models, with 40 introductions, followed closely by OpenAI with 20 launches. This trend is also reflected in academia, with UC Berkeley and Stanford introducing multiple models in the past year.

Overall, the report paints a picture of a rapidly evolving AI landscape, with both impressive advancements and persistent challenges that require continued attention and innovation. As human-machine interactions continue to evolve, the future promises to redefine our relationship with technology and its impact on our daily lives.

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