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“The more information is free, the more opportunities for it to be collected, refined, packaged and made expensive,” said Stewart Brand, the technology visionary who first developed the formulation. “The more it is expensive, the more workarounds to make it free. It’s a paradox. Each side makes the other true.”

Wikipedia marked its 22nd anniversary in January. It remains, in many ways, a throwback to the Internet’s utopian early days, when experiments with open collaboration — anyone can write and edit for Wikipedia — had yet to cede the digital terrain to multibillion-dollar corporations and data miners, advertising schemers and social-media... See more

A lot of what’s built the World Wide Web in the open information infrastructure that we understand is just actually embedded in a few laws that basically make it so it can be user originated content that can be then hosted on other companies’ websites without having them have liability. As long as, “Hey, we’re in copyright infringement,” if they... See more

Inspired by ideas of an uninterrupted flow of knowledge and information and driven by the critique of intellectual property in digital works[14], one of the open movement’s guiding principles became the belief that enabling access to online information resources would have positive social effects and that these benefits would outweigh the interest... 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).

Mixture of experts , MoE or ME for short, is an ensemble learning technique that implements the idea of training experts on subtasks of a predictive modeling problem.

In the neural network community, several researchers have examined the decomposition methodology. [...] Mixture–of–Experts (ME) methodology that decomposes the input space, such that

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