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When it comes to online advertising, businesses are forced to pay exorbitant amounts of money to 'middlemen' in order to reach a captive audience for their promotions. The promotions, however, often get placed among many other ads clogging up the space on crowded banners, or simply end up in someone's spam box. Businesses also have little to no guarantee that the traffic they generate on their promotions is genuine. In fact, nearly 50% of all advertising traffic is generated by bots, essentially defeating the entire purpose of advertising.

Shoggoth - a peer-to-peer, anonymous network for publishing and distributing open-source Machine Learning models, code repositories, research papers, and datasets. As government regulations on open-source AI research and development tighten worldwide, it has become clear that existing open-source infrastructure is vulnerable to state and corporate censorship. Driven by the need for a community platform impervious to geopolitical interference, I have spent the last several months developing Shoggoth. This distributed network operates outside traditional jurisdictional boundaries, stewardered by an anonymous volunteer collective. Shoggoth provides a portal for researchers and software developers to freely share works without fear of repercussion. The time has come to liberate AI progress from constraints both corporate and governmental.