Towards Defensible Infinite Scale
<p><em>Traditional scaling methods that have long driven business growth face limitations related to regulatory hurdles, capital concentration, control, and network effects. As privacy concerns and demands for fair value distribution increase, an alternative landscape is emerging that reverts back to protocols (as opposed to platforms) that prioritise privacy, community ownership, and participation. EdgeFi and tokenomic models provide opportunities to build defensible infinite scale by aligning incentives, empowering communities, and leveraging the power of networks. This is disruptive, with sustainable projects being established that address the evolving needs of users in the digital age.</em></p>
<p>Louis Von Ahn sold two companies to Google before building Duolingo. His thesis: that humans at scale can perform tasks that computers cannot.</p>
<p>His first was the <a href="https://en.wikipedia.org/wiki/ESP_game" rel="noopener ugc nofollow" target="_blank">ESP</a> game wherein two users are instantly connected at random when visiting a website. They are both shown the same picture, such as a fish, and asked to guess what the other person is typing. As both are seeing the same image, they both naturally type words that have an affinity with said image in the hope of matching what their counterpart is typing. Through these crowdsourced human computation efforts, millions of people generated valuable metadata that google integrated into its image recognition & labelling products upon acquisition. ESP was bought in 2006, turned into Google Image Labeller, and closed in 2011.</p>
<p><a href="https://medium.com/coinmonks/towards-defensible-infinite-scale-e8eadea083c6"><strong>Website</strong></a></p>