Cross-language (such as, English/French) retrieval, search, and semantic knowledge integration. This is especially important for low-online-presence languages.
I discuss whether knowledge interconnection exacerbates or abates the risk if industrial dehumanization on net in a section. It’s a challenging question, but I reach the tentative conclusion that AI capabilities that favor obtaining and leveraging “interconnected” rather than “isolated” knowledge are on net risk-reducing. This is because the “human economy” is more complex than the hypothetical “pure machine-industrial economy”, and “knowledge interconnection” capabilities support that greater complexity.
Thanks for the post, I agree with it!
I just wrote a post with differential knowledge interconnection thesis, where I argue that it is on net beneficial to develop AI capabilities such as
Federated learning, privacy-preserving multi-party computation, and privacy-preserving machine learning.
Federated inference and belief sharing.
Protocols and file formats for data, belief, or claim exchange and validation.
Semantic knowledge mining and hybrid reasoning on (federated) knowledge graphs and multimodal data.
Structured or semantic search.
Datastore federation for retrieval-based LMs.
Cross-language (such as, English/French) retrieval, search, and semantic knowledge integration. This is especially important for low-online-presence languages.
I discuss whether knowledge interconnection exacerbates or abates the risk if industrial dehumanization on net in a section. It’s a challenging question, but I reach the tentative conclusion that AI capabilities that favor obtaining and leveraging “interconnected” rather than “isolated” knowledge are on net risk-reducing. This is because the “human economy” is more complex than the hypothetical “pure machine-industrial economy”, and “knowledge interconnection” capabilities support that greater complexity.
Would you agree or disagree with this?