Of note: as Charity Engine is a general-purpose distributed compute platform, it's possible to run applications to post-process web content "at the edge" of the network, as the data is streamed back. Ex we're now running small LLMs along with the browsers, so it's possible to do things like run sentiment analysis, generate image descriptions, summarize content, etc – all at scale, enabled by hundreds of thousands of processors.
Of note: as Charity Engine is a general-purpose distributed compute platform, it's possible to run applications to post-process web content "at the edge" of the network, as the data is streamed back. Ex we're now running small LLMs along with the browsers, so it's possible to do things like run sentiment analysis, generate image descriptions, summarize content, etc – all at scale, enabled by hundreds of thousands of processors.
For more, see this talk: "Distributed Intelligence for Distributed Data" - https://youtu.be/YQe--AZFUuQ?si=_HoqkdooNPSR7dDQ (13mins)