Trust at Internet Scale

On TRAC(k)

The DKG V8 prototype has demonstrated the unprecedented scale at which the Verifiable Internet for AI can drive value for anyone, on any device, and on any chain.
Addressing sensitive data concerns, scalability, and AI challenges concurrently, the DKG V8 has successfully completed its first phase of development.
With it, the OriginTrail ecosystem has witnessed important advancements such as knowledge incentivization, stronger multichain support and cross-chain knowledge mining.
In this episode of the On Trac(k) podcast, OriginTrail's co-founder and CTO, Branimir Rakic, and Trace Labs' AI Lead, Marko Brkic, demonstrate the latest advancements in the DKG and how the new technology also tackles challenges associated with AI-generated videos at Internet scale.
Listen to this month's episode to learn more!
On TRAC(k) brings you all the latest and juiciest developments from the OriginTrail ecosystem and the Decentralized Knowledge Graph, aka the DKG. On Trac(k) is presented by OriginTrail and hosted and edited by Jonathan DeYoung.
Follow OriginTrail on X (Twitter) at @origin_trail and NeuroWeb at @NeuroWebAI.
Join the OriginTrail Discord: https://discord.gg/wYfZA6CgTw
Episode chapters:
(00:00:00) Intro to the On TRAC(k) podcast and this month's episode
(00:01:43) Introducing Trace Labs' AI Lead, Marko Brkic
(00:04:31) Recapping past two months: Polkabot IPO, Luigi chatbot, Base blockchain
(00:08:57) European railways and Digital Product Passport
(00:15:10) DKG's latest scalability updates
(00:20:32) OriginTrail's "internet scale" goals
(00:23:08) Update on ID Theory's upcoming DeSci paranet
(00:25:02) What 1 trillion Knowledge Assets will mean for ecosystem
(00:29:58) Addressing deepfakes + Edge Node, knowledge marketplace demo
(00:44:56) Will the DKG tell you if an image is a deepfake?
(00:48:42) Incentives for AI builders to use the DKG
(00:52:42) How running an Edge Node will work
(00:54:46) More on fighting deepfakes with OriginTrail
(00:59:42) Introducing Knowledge Collection UALs
(01:01:30) When will Edge Nodes go live?
(01:01:23) Will there be more documentation for paranets?
(01:04:49) Building a business on a paranet
(01:07:32) Multichain TRAC staking
(01:09:39) Batch-minting Knowledge Assets
(01:13:10) Scalability of the Base blockchain
(01:15:07) Size of batched Knowledge Assets

Chapters

1. Intro to the On TRAC(k) podcast and this month's episode (00:00:00)

2. Introducing Trace Labs' AI Lead, Marko Brkic (00:01:43)

3. Recapping past two months: Polkabot IPO, Luigi chatbot, Base blockchain (00:04:31)

4. European railways and Digital Product Passport (00:08:57)

5. DKG's latest scalability updates (00:15:10)

6. OriginTrail's "internet scale" goals (00:20:32)

7. Update on ID Theory's upcoming DeSci paranet (00:23:08)

8. What 1 trillion Knowledge Assets will mean for ecosystem (00:25:02)

9. Addressing deepfakes + Edge Node, knowledge marketplace demo (00:29:58)

10. Will the DKG tell you if an image is a deepfake? (00:44:56)

11. Incentives for AI builders to use the DKG (00:48:42)

12. How running an Edge Node will work (00:52:42)

13. More on fighting deepfakes with OriginTrail (00:54:46)

14. Introducing Knowledge Collection UALs (00:59:42)

15. Will there be more documentation for paranets? (01:01:23)

16. When will Edge Nodes go live? (01:01:30)

17. Building a business on a paranet (01:04:49)

18. Multichain TRAC staking (01:07:32)

19. Batch-minting Knowledge Assets (01:09:39)

20. Scalability of the Base blockchain (01:13:10)

21. Size of batched Knowledge Assets (01:15:07)