Source: Rishin Sharma & Jake Brukhman, "Open Neural Networks: The Intersection of AI and Web3," avail. online
When disillusionment surrounding the lack of high-integrity building in the crypto space sets in, I return to a problem space of high importance: AI/ML.
While much discourse is seemingly around stable diffusion, incredible chat bots, stunning images, and the like, my attention is drawn to the substrate: data, compute, (economic) coordination.
Today, I read the subject piece, which neatly identifies core infrastructure bottlenecks in the development of (ethical) AI/ML workflows:
Unlike many areas of crypto, in which participants perfunctorily wave the banner of decentralization (indeed, the term has served as a floating signifier in the industry), the domain of AI/ML has a great deal to do with the decentralization / centralization gradient, ethically and economically. (See, e.g., Field Note 52 and 71).
Who is working on decentralized AI/ML, federated learning, and closely-knit areas (a) theoretically, practically, and everything in between (b) at any stage (ideation to advanced stage) with (c) a combined ethical + economic imperative?
How can I turbocharge your efforts?