Revolutionizing AI: GPT5's Potential Impact on Language Modeling and Job Market

Key insights

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  The success of GPT-5 will depend more on the quality of data it's trained on rather than the number of parameters it has.
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  The key to improving language modeling performance is data, not model size.
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  The debate on whether we will run out of data for machine learning and large language models is ongoing, with estimates of high quality language data ranging from 4.6 trillion to 17 trillion words.
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  The amount of high quality data available will be central in defining the near-term future of artificial intelligence, with an estimated nine trillion tokens.
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  GPT 5 will likely scrape as much high quality data as possible, potentially leading to significant improvements in performance.
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  Language models like GPT-5 can teach themselves how to use tools like calculators and APIs, potentially changing the world.
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  The potential for GPT-5 to surpass human performance in reading comprehension, logic, critical reasoning, and creative writing could have huge implications for industries such as finance and education.
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  Sam Altman emphasizes the importance of safety progress keeping up with capability progress in AI models like GPT-5.