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Artificial intelligence (AI) has reached a significant milestone by surpassing a key human ability for the first time. This achievement raises the question of whether machines will eventually attain the same intellectual level as humans. The remarkable advancement in AI technology now allows for the successful replication of human intelligence. One of the fundamental capabilities that distinguish human intelligence is the ability to learn the meaning of a word and apply it to other linguistic concepts. This universal skill enables humans to abstract concepts and identify objects based on their shapes, irrespective of their color or material composition. Human intelligence also allows us to perceive and interpret cloud formations, showcasing our ability for composite generalization.
In the past, cognitive scientists Jerry Fodor and Zenon Pylyshyn hypothesized that artificial neural networks would eventually possess the capacity to make such connections. However, little progress has been made in this area since the mid-1980s. Nevertheless, researchers from the University of New York and the University Pompeu Fabra in Spain have been actively working on developing a new technique to precisely address this limitation. Their groundbreaking study, published in the scientific journal Nature, introduces a methodology called “Meta-aprendizado para composicionalidade” (MLC), which enables ChatGPT-like tools to make compositional generalizations.
Field tests conducted as part of this study have yielded promising results. The experiments demonstrate that artificial intelligence not only has the potential to match human intelligence but can even surpass it. This achievement was accomplished through hands-on application rather than relying solely on the traditional approach of learning. The system receives a word and is tasked with applying it in a different context. For example, when given the word “falar” (to speak), the system is instructed to create contexts such as “falar muito” (to speak a lot), “falar pouco” (to speak a little), “falar baixo” (to speak softly), and “falar alto” (to speak loudly).
As AI continues to develop, it will gradually acquire an understanding of idiomatic expressions, such as “falar abobrinha” (to speak nonsense) and “falar besteira” (to talk nonsense). This comprehension will extend to interpreting such expressions in both their literal and figurative senses. Consequently, AI will become more proficient in language usage, broadening its reach to a much larger audience.
These advancements in AI have profound implications for the field of programming. With the ability to comprehend more intricately designed commands, computers will be capable of receiving, understanding, and executing complex instructions. This progress opens up new possibilities for enhancing software capabilities and enabling machines to tackle more challenging tasks.
In conclusion, the recent breakthrough in AI research has demonstrated that machines can now reproduce human intelligence. The ability to learn word meanings and apply them to other linguistic concepts, a key aspect of human intelligence, can be achieved by artificial neural networks. The introduction of MLC, as showcased in the Nature publication, showcases the potential of AI technology to not only match but even surpass human intelligence. These developments hold promise for expanding the capabilities of programming and empowering computers to comprehend and execute more advanced commands. With further advancements, we may witness machines reaching and even exceeding human intelligence in the future.
