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OpenAI’s 4o Image Generation Pushes Boundaries, But At What Cost?

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MurzIntel's Writer  ·  Posted a month ago

MurzInvestigation

2 minutes read



Recently, OpenAI announced the launch of their new image generation capabilities with GPT-4o, showcasing an unprecedented leap in visual precision and detail. This advancement was not only technical, it was also strategic. Unlike previous models, the AI image generation by GPT-4o was trained on the joint distribution of online images and text, meaning it doesn’t just understand how images relate to language but also how they relate to one another. This deep multimodal understanding is part of what makes 4o feel more intuitive and responsive when generating images. Source: OpenAI.

However, as most in the tech landscape are aware of, AI image generation isn’t necessarily new. Models like MidJourney, Dall-E and others had already pioneered this. However, what sets OpenAI among its previous precedents apart is its mainstreaming of the technology. With GPT-4o’s image generation now seamlessly integrated into ChatGPT, more people than ever are interacting with AI to generate visuals, artists, marketers, students, and casual users alike. OpenAI didn’t just build a “better” model, they made sure the world even those who were outside the tech bubble knew about it, they successfully mainstreamed & commercialized it to the public. Or in other words, this isn’t just a technical achievement, it’s a communication and strategy success. This is evident from Sam Altman’s own statement about OpenAI’s GPUs melting due to high usage f...