Right, seriously listen to me now.
Through the combination of digital product passports & GS1 digital link (Global barcode v2) $TRAC @origin_trail has a brighter future than any other crypto.
In times like now you need to have conviction in what you hold. You want to be able to view these conditions as an opportunity.
This is the worlds first decentralised knowledge graph and they’ve proven it works & delivers immense value.
Enterprise clients, governments & the EU commission are actively building world changing solutions (Not forgetting it is the most real world adopted crypto with working solutions).
You have a team that’s been together for ten years.
A team innovating & delivering month after month.
You have an ecosystem.
If you haven’t really ever looked into or understand what a knowledge graph is, who uses them, the implications of a decentralised version… what the actual f*ck are you waiting for?
The tokenomics are top tier.
The network is hitting all time after all time high month after month during a brutal market wide sell off.
As I’ve said before the network doesn’t care if its bull or bear like every or project.
The network is scaling 100x in the next 6 months.
The network is continuing its multichain expansion.
The project is best placed to capitalise on the way the world is going over the next 5 years.
So many other bits I can write in this type of post but I made a slow cooker chicken, I’ve had an edible and I’m starving so wrapping it up.
Point is. Yeah, sucks now but I couldn’t hold anything else long term. This project is a unicorn.
Keep all your VC unlocks and shady founders and product forced fit crap. They won’t even be here in ten years and origintrail have already been here for ten years.
@BranaRakic@origin_trail@NgiSearch A new way of securing humanities most valuable assets,from property, automotive, fashion brand provenance, art certification, and with GS1 digital link, the digital barcode is your trac(k) & trace from here to eternity ? 🖖🏽🫶🏽
https://t.co/K9OQx9iupv
@BranaRakic@origin_trail@NgiSearch Blockchain AI autonomous provenance for car MOT, service history, ownership? Track and trace on the blockchain for insurance?
Insurance provenance for home owner policies, digital ‘tag’ for assets?
Reducing friction in home purchases with all surveys, structural reports etc…
@p14416575@origin_trail Maybe @elonmusk needs to discuss the possibilities of @origin_trail for a verifiable, humanistic version of AI
Elon Musk Sues OpenAI, Altman for Breaching Firm’s Founding Mission
https://t.co/eP4DBzgc5F
#ChatGPT4 by @OpenAI
VS
@ChatDKG by @origin_trail
With generative #AI models taking over pretty much all pores of our lives, it is worth comparing the performance of these two systems tackling the same question. The results are INTERESTING:
When asking ”What was the composition of @Nike's global corporate leadership in terms of gender in 2021?”, the answer #ChatGPT provides is vague, rather long and pretty much does not answer the question.
On the other hand, @ChatDKG provides a concise and factually precise answer, based on verifiable source of knowledge discoverable within the @origin_trail Decentralized Knowledge Graph (DKG).
Link: https://t.co/cTJ3sOURkx
Enter Decentralized RAG
The key to using AI without unwanted hallucinations and with greater precision is Decentralized Retrieval-Augmented Generation (RAG). RAG is an AI framework for retrieving facts from an external knowledge base to ground large language models (LLMs) on the most accurate, up-to-date information and to give users insight into LLMs' generative process.
In a 2020 paper, @Meta came up with a framework called retrieval-augmented generation to give LLMs access to information beyond their training data:
👉 https://t.co/cvTJz3QCL0
And to make RAG even more transparent, verifiable with ensured information provenance, and most importantly, inclusive by allowing more participants to publish and connect knowledge, @origin_trail DKG provides a foundation for the Decentralized Internet to power even more capable, efficient and precise AI solutions.
Going back to our question ”What was the composition of Nike's global corporate leadership in terms of gender in 2021?”, @origin_trail establishes the exact lineage of information and allows you to discover even more knowledge related to the topic, driving further exploration.
Link: https://t.co/bL2HnfOxVB
In our case, the original source may be tracked down to the @Wikirate open data platform providing open access to sustainability reports corporations publish annually.
Further explorations into the knowledge source reveals, that the answer provided by @origin_trail Decentralized RAG - "In 2021, the composition of Nike's global corporate leadership in terms of gender was as follows: - Female: 43.0% - Male: 57.0%" - indeed corresponds to the original knowledge source - FY21 @Nike, Inc. Impact Report.
@origin_trail DKG has been most commonly used to successfully drive trust and transparency within enterprise knowledge exchange within spectrum on industries https://t.co/K9LMuZFBza and is now entering an exciting new phase of connecting the global wealth of knowledge that will drive Decentralized RAG for a more precise and inclusive AI.