madisen

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

Wikipedia is probably the most important single source in the training of A.I. models

warriors

Copyright nearly killed the open web, in fact. Until the 11th hour of international decision-making on the subject, copyright law in both the US and the EU was going to make all intermediaries on the web, from search engines to internet service providers, liable for all copyright infringements that traveled over their networks, whether they knew... See more

These enormous players have absolute roles and responsibilities in how things work. The medium is the message. We are living in Marshall McLuhan land where the medium forms how we think about things. The way the web is coded determines a lot of how we live our lives online. It’s now not just the web, it’s how Facebook is coded, how Google is coded.

This awareness is well expressed by Creative Commons, in the organization’s 2020-2025 strategy is based on a vision of better sharing 1 : “In order to protect what we have achieved so far and to create the world we want to see, we must expand our focus beyond copyright licensing, because content sharing cannot be decoupled from economic or ethical... See more

they view the encyclopedia as a “consensus truth,” as one of them put it: It acts as a reality check in a society where facts are increasingly contested. That truth is less about data points — “How old is Joe Biden?” — than about complex events like the Covid-19 pandemic, in which facts are constantly evolving, frequently distorted and furiously... See more

having failed to make openness illegal using state power, the oligopolists are now trying to make it irrelevant using private power, network effects and hard-wired filters.

By 2014, there were almost 400 million CC-licensed photos on Flickr. That year, researchers from Yahoo Labs, Lawrence Livermore National Laboratory, Snapchat and In-Q-Tel used a quarter of all these photos to create YFCC100M, a dataset of 100 million photographs of people created for computer vision applications. Until today, this dataset remains... See more