The interest in the image AI DALL-E 2 clearly exceeds that in previous OpenAI products. This is interesting as it could be a first implication for DALL-E’s impact on the labor market.
In mid-April, OpenAI presented DALL-E 2, a milestone in generative AI systems and probably in the history of artificial intelligence: The image AI uses individual sentences and formulations to generate abstract drawings as well as photorealistic images.
It can even use photography metadata such as lens and exposure time to generate photos that look like they were shot with that lens. For weeks, the first beta testers have been sharing their generated images on social media and in the first DALL-E 2 image databases.
DALL-E 2 is OpenAI’s biggest success – and is just taking off
OpenAI was already able to achieve great success with the text AI GPT-3. No language model is more well-known and more commercially deployed through the API. Nevertheless, DALL-E 2 should easily beat this success.
As OpenAI co-founder Sam Altman reveals on Twitter, GPT-3, Github Copilot and DALL-E all currently have each one million registrations recorded. However, DALL-E only needed around 2.5 months for this brand. According to Altman, it was still six months for Copilot and around two years for GPT-3.
The high demand for DALL-E 2 already – although many people outside of the tech bubble may not have even encountered the image AI – shows that Altman could be right if he thinks that DALL-E 2 is causing major distortions in the image worker market : inside calculates. Or as he puts it: “It’s important to be honest.”
Artificial intelligence is present and future technology
foretaste anyone? Cosmopolitan magazine recently showed the first AI-generated magazine cover. The front page notes below the image, “It took us only 20 seconds to create it.”
This is of course an unfair statement, since the selected image was preceded by various attempts and various creative processes. Overall, the magazine invested much more time from the idea to the final front page.
But even this creative selection process is faster and more varied with DALL-E 2 – and should become more and more efficient over time. An example: The magazine used a still unreleased function of DALL-E 2 to automatically expand images to the required format.
DALL-E 2 is currently being rolled out to around 1000 users per week. According to Altman, however, the image AI should available “soon” for everyone be. “With new technologies, we need a certain amount of time to learn how to make them available responsibly,” Altman explains the market launch in slices.
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