OpenAI’s latest GPT model has achieved an impressive IQ score of 120, reportedly outperforming 90% of people. This headline is sure to capture attention, but the reality behind these numbers is more complex than it might initially appear.
Chat GPT IQ Tests
Initially, the high IQ score was celebrated as a groundbreaking milestone in AI development. However, there’s a catch: the results might have been influenced by the model’s prior exposure to similar questions. A follow-up test with new and unseen questions showed that the GPT-4o1’s score dropped to around the human average of 100. This suggests that while the model has made significant strides, its performance on the IQ test might be partly due to its familiarity with the type of questions posed.
Despite this, the progress of AI technology remains undeniable. While some models fared even worse, the leap in capability demonstrated by GPT-4o1 is noteworthy. The real debate, however, revolves around the nature of this progress. OpenAI’s development process is shrouded in secrecy, leading to two main theories: either they’ve discovered a revolutionary new architecture that advances AI beyond previous limits, or they’ve simply refined existing technology, enhancing its ability to respond to prompts with greater accuracy and coherence.
This scenario is reminiscent of past technological milestones, such as the initial release of the iPhone. The device was met with awe but quickly faced criticism when it didn’t live up to every expectation. Similarly, while AI advancements are impressive, they often fall short of the hype surrounding them. The journey of AI development is marked by incremental improvements rather than sudden leaps, and this trend appears to continue.
The recent developments raise another significant issue: the potential impact on employment. If AI tools like GPT-4o1 reduce the need for human labor in fields such as coding and development, there could be fewer opportunities for junior and entry-level positions. This concentration of job opportunities and wealth among a smaller group could exacerbate existing inequalities and lead to broader societal impacts.
Furthermore, IQ tests are designed to challenge human abilities, and using them to gauge AI performance might not provide a complete picture. AI excels in tasks such as quick arithmetic and perfect recall, areas where humans typically struggle. Thus, evaluating AI using human-centric tests might not fully capture its capabilities or limitations.
As AI continues to evolve, the benefits and challenges of these advancements are still unfolding. While the progress is impressive, it’s essential to consider who will truly benefit from these developments. If the wealth and opportunities generated by AI become concentrated in the hands of a few, the broader population might face declining living standards.
Conclusion
While OpenAI’s new GPT model achieving an IQ score of 120 is a noteworthy achievement, it’s crucial to approach these developments with a nuanced perspective. The journey of AI is ongoing, and its broader impact on society, employment, and wealth distribution remains an open question.
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