madisen

here are two basic approaches to creating AI datasets. The first one, which is typical of the case we have been studying, a pool of open works is purposefully chosen to ensure license compliance. The second approach creates the dataset by scraping the “raw internet” and relying on copyright exceptions. LAION , a dataset of 400 million image-text... See more

“Home is where we know and where we are known, where we love and are beloved. Home is mastery, voice, relationship, and sanctuary: part freedom, part flourishing ... part refuge, part prospect.” “We can choose its form and location but not its meaning.” (Zuboff 2019).

The Information Age's emphasis on speed over expertise contributes to "superficial culture in which even the elite will openly disparage as pointless our main repositories for the very best that has been thought

Some Wikipedians remark that their endeavor works in practice, but not in theory.

Creative Commons has been exploring how copyright law and tools apply to the generative AI space for many years. Mozilla has recently announced the launch of Mozilla.ai, a new startup tasked with “building a trusted, independent, and open-source AI ecosystem.”

The key is that knowledge is a human endeavor, and the development of Wikipedia and its sister projects depends on human collaboration and consensus. Machine learning tools can augment the process, but AI cannot replace volunteer Wikimedians.

In 2021, when the archive celebrated its 25th anniversary, Mr. Kahle talked about the fate of the internet in an era of megacorporations: “Will this be our medium or will it be theirs? Will it be for a small controlling set of organizations or will it be a common good, a public resource?