The Role AI & Crypto Play in Consumer Facing Applications
summary
Panel argues decentralised AI by specific pieces: ZeroG claims a horizontally scalable data availability stack that gets about 10 MB/s per node (vs Celestia ~1 MB/s) so high‑throughput onchain apps like full games become feasible; Assisterr packages 20+ protocol‑trained models and reports “100K RR over the last two months” with million‑dollar revenue projections; a 1.7B model (53 phi3) runs offline on phones — 1.7B phi3 on-device — and agent architectures trade micro‑payments per query with blockchain provenance and onchain model training as future features.
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chapters (11)
- 0:00Introduction and panel setup
- 1:36Why decentralize AI now
- 8:46AI agents in consumer apps
- 16:56Regions leading AI adoption
- 23:22Productivity vs entertainment in AI
- 26:55Zero Gravity's decentralized AI role
- 31:47Missing pieces in consumer AI apps
- 38:56Web3 AI onboarding challenges
- 41:21Sister's evolution and scalability
- 43:12Sustainable growth for AI crypto apps
- 48:32Closing remarks and Q&A
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