- A new study by researchers in China suggests that AI models like ChatGPT process information in a way similar to the human brain, challenging the assumption that AI systems simply mimic responses through pattern recognition.
- The study, conducted by a team from the Chinese Academy of Sciences and South China University of Technology, found that large language models (LLMs) sort information spontaneously, despite not being trained to do so.
- Researchers tasked OpenAI’s ChatGPT-3.5 and Google’s Gemini Pro Vision with performing an “odd-one-out” task, which led the AI to create 66 conceptual dimensions to categorise objects.
- The study revealed that LLMs develop human-like conceptual representations of objects, suggesting similarities between AI and human conceptual knowledge.
- Other research teams are developing more human-like AI systems, including an Australian startup that unveiled a biological computer using living human brain cells, which they claim can learn and adapt more efficiently than traditional systems.
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