In front of a suburban house on the outskirts of the northern Germany city of Hamburg, a single word—“LAION”—is scrawled in pencil across a mailbox. Know more:
In front of a suburban house on the outskirts of the northern Germany city of Hamburg, a single word—“LAION”—is scrawled in pencil across a mailbox. It’s the only indication that the home belongs to the person behind a massive data gathering effort central to the artificial intelligence boom that has seized the world’s attention.
Within a few weeks, Schuhmann and his colleagues had 3 million image-text pairs. After three months, they released a dataset with 400 million pairs. That number is now over 5 billion, making LAION the largest free dataset of images and captions. When Mostaque launched Stability AI in 2022, he used LAION’s dataset for Stable Diffusion, its flagship AI image generator, and hired two of the organization’s researchers. A year on, the company is currently seeking a $4 billion valuation, thanks largely to the data made available by LAION. For his part, Schuhmann hasn’t profited from LAION and says he isn’t interested in doing so. “I’m still a high school teacher.
The basic idea behind the provision, European Parliament Member Dragos Tudorache told Bloomberg, is simple: “As a developer of generative AI, you have an obligation to document and be transparent about the copyrighted material that you have used in the training of algorithms.” Because LAION is open-source, it’s impossible to know which or how many other companies have used the dataset. Google has acknowledged that it tapped LAION to help train its Imagen and Parti AI text-to-image models. Schuhmann believes that other large companies are quietly doing the same and simply not disclosing it.
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