/1 You're not able to avoid misinformation on any platform.

21 Dec 2023, 13:47
🧵/1 You're not able to avoid misinformation on any platform. You can, though, establish information provenance by enshrining it into the decentralized knowledge graph. You can make a sort of "knowledge NFTs" that are semantically connected and discoverable with AI systems.…

Same news in other sources

3
OriginTrail
OriginTrailTRAC #193
Twitter
21 Dec 2023, 14:00
@Tesla faces several risk factors, as mentioned in the provided context: 1. Legal Proceedings: Tesla is involved in various legal proceedings... Full Answer: Powered by @origin_trail .
@Tesla faces several risk factors, as mentioned in the provided context:.
@Tesla faces several risk factors, as mentioned in the provided context: 1. Legal Proceedings: Tesla is involved in various legal proceedings... Full Answer: https://t.co/iPmLQvfSWZ Powered by @origin_trail .
OriginTrail
OriginTrailTRAC #193
Twitter
21 Dec 2023, 13:48
🧵/3 This is just one example developed by ChatAnalyst based on @origin_trail and aims to tackle misinformation in the financial industry. Of course, other platforms could benefit using the same principle.
/3 This is just one example developed by ChatAnalyst based on @origin_trail and aims to tackle misinformation in the financial i
🧵/3 This is just one example developed by ChatAnalyst based on @origin_trail and aims to tackle misinformation in the financial industry. Of course, other platforms could benefit using the same principle.
OriginTrail
OriginTrailTRAC #193
Twitter
21 Dec 2023, 13:48
🧵/2 The RAG AI framework then retrieves relevant knowledge for large language models (LLMs) to construct an answer using the most accurate, up-to-date information. It also gives users insight into sources used in the answer they got. In the case given, the "knowledge NFT"…
/2 The RAG AI framework then retrieves relevant knowledge for large language models (LLMs) to construct an answer using the most
🧵/2 The RAG AI framework then retrieves relevant knowledge for large language models (LLMs) to construct an answer using the most accurate, up-to-date information. It also gives users insight into sources used in the answer they got. In the case given, the "knowledge NFT"…