Many users who want to create graphical content from textual descriptions are waiting to test OpenAI’s Dall-E system. But whether the technology passes the enterprise fit test can be a determining factor in its ultimate success in the enterprise.
The San Francisco-based artificial intelligence research lab said on July 20 that it would make the tool available to more users on its 1 million waiting list in the coming weeks. Dall-E, which uses natural language to translate text into images, is now available in beta.
The revelation came a few months after OpenAI released the second version of Dall-E, Dall-E 2. The research lab said Dall-E 2 can create more realistic images than the original Dall-E, which was first introduced in 2021 d. as a version of GPT-3 with 12 billion parameters.
Enterprise use cases
While many users have successfully used Dall-E to create creative memes or even create music videos, businesses can also find success with the tool, said R “Ray” Wang, an analyst at Constellation Research.
“This is about accelerating, automating and using AI to create content,” Wang said.
The tool is useful for businesses that work in the commercial printing sector or those that might consider creating content for the metaverse.
While there are currently a variety of ways to build content at scale, most of them are manual, Wang said. Dall-E automates this manual process.
It’s about accelerating, automating and using AI to create content. Ray Wang Analyst, Constellation Research
In the current iteration of the technology, OpenAI will allow Dall-E users to reprint, sell and merchandise their images.
Responsible AI and ethics
In this release, OpenAI takes a responsible AI approach, Wang said.
The research lab said its filters are more effective at preventing users from creating violent, adult or political content. But OpenAI needs to show the market how it built the models with the ability to audit the data set and results, said Andy Turay, another analyst at Constellation Research.
An artificial intelligence program written in plain text can be instructed to edit a picture in a malicious way to post it online, potentially damaging the reputation of a company or individual, Thurai said. He added that users should exercise care as well as offer management when they have to display a generated image against an original artist’s work. Additionally, OpenAI must prove that it can only manipulate G-rated images.
The ethical and personal implications of Dall-E may make businesses skeptical of using the tool, as the tool may misrepresent what was originally said. “Enterprises are less tolerant of mistakes,” said Sid Nag, an analyst at Gartner.
So while Dall-E could be a real game changer, compliance regulations may prevent this technology from entering the company.
OpenAI versus the competition
This trial version of Dall-E puts OpenAI one step ahead of competitors like Google, which released Imagen earlier this year. Wang said vendors are eager to get these products into the hands of consumers so they can see how they will use the technology.
“It’s really a game of speed,” he said. “It’s all about building training data in the back end to see how people use it [and] what else can they do to change or add features.”
Competitors such as Google will likely watch the market adopt OpenAI before following suit, Wang said.
Dall-E users receive free monthly credits. Anyone wanting more credits can purchase an additional 115 credits for $15, allowing them to create 460 images.
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