OpenAI ChatGPT-5 release by Sam Altman: Features, how is GPT-5 different from GPT-3, GPT-4?
Nearly three years ago, ChatGPT introduced the world to generative AI, dazzling users with its ability to write humanlike prose and poetry, quickly becoming one of the fastest growing apps ever.

GPT-4’s leap was based on more compute power and data, and the company was hoping that “scaling up” in a similar way would consistently lead to improved AI models. But OpenAI, which is backed by Microsoft and is currently valued at $300 billion, ran into issues scaling up. One problem was the data wall the company ran into, and OpenAI's former chief scientist Ilya Sutskever said last year that while processing power was growing, the amount of data was not. He was referring to the fact that large language models are trained on massive datasets that scrape the entire internet, and AI labs have no other options for large troves of human-generated textual data.
Apart from the lack of data, another problem was that ‘training runs’ for large models are more likely to have hardware-induced failures given how complicated the system is, and researchers may not know the eventual performance of the models until the end of the run, which can take months.
“OpenAI made such a great leap from GPT-3 to GPT-4, that ever since then, there has been an enormous amount of anticipation over GPT-5,” said Navin Chaddha, managing partner at venture capital fund Mayfield, who invests in AI companies but is not an OpenAI investor. “The hope is that GPT-5 will unlock AI applications that move beyond chat into fully autonomous task execution."
OpenAI ChatGPT-5
Nearly three years ago, ChatGPT introduced the world to generative AI, dazzling users with its ability to write humanlike prose and poetry, quickly becoming one of the fastest growing apps ever.
GPT-4 then became the model to beat and the world came to terms with the fact that AI models could outperform humans in many tasks.
Soon, other companies were catching on. The same year, Alphabet's Google and Anthropic - which is backed by Amazon and Google - released competitive models to GPT-4. Within a year, open-source models on par with GPT-4 such as Meta Platforms' Llama 3 models were released.
Along with training large models, OpenAI has now invested in another route, called “test-time compute,” which channels more processing power to solve challenging tasks such as math or complex operations that demand human-like reasoning and decision-making.
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A2. Nearly three years ago, ChatGPT introduced the world to generative AI, dazzling users with its ability to write humanlike prose and poetry, quickly becoming one of the fastest growing apps ever.
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