Current approaches to artificial intelligence (AI) are unlikely to create models that can match human intelligence, according to a recent survey of industry experts.
Out of the 475 AI researchers queried for the survey, 76% said the scaling up of large language models (LLMs) was “unlikely” or “very unlikely” to achieve artificial general intelligence (AGI), the hypothetical milestone where machine learning systems can learn as effectively, or better, than humans.
This is a noteworthy dismissal of tech industry predictions that, since the generative AI boom of 2022, has maintained that the current state-of-the-art AI models only need more data, hardware, energy and money to eclipse human intelligence.
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