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MIT Technology Review reports that children can learn language in ways that currently outpace large language models, despite LLMs being trained on vastly larger datasets. The piece highlights both the scale of data LLMs use and the mystery of why human learners remain more efficient in some respects.
MIT Technology Review reports that, historically, only human children could learn a language to perfect fluency, but recent advances have produced machines that can now approximate that ability. The article explores why children still outperform AI in language learning despite four years of rapid progress since ChatGPT’s release.
Praktika menggunakan GPT‑4.1 dan GPT‑5.2 untuk membina tutor AI adaptif yang menyesuaikan pelajaran mengikut keperluan pengguna. Sistem ini menjejaki kemajuan pelajar dan direka untuk membantu mereka mencapai kefasihan bahasa dalam situasi sebenar.
