Join Anil Lulla (Delphi Digital) and Ninad Naik (Mira) as they explore how to move AI from co-pilot to autonomous systems through enhanced reliability. Key topics include:
- Why current AI is limited to low-consequence tasks and human oversight
- How Mira's decentralized verification network reduces error rates from 30% to sub-5%
- Using crypto incentives to build trustworthy, autonomous AI systems
- The journey from batch processing to real-time verification
- Targeting education and medical sectors as initial use cases
- Building Web3 infrastructure that solves real Web2 problems
This conversation examines Mira's vision for making AI reliable enough to move beyond human supervision and into production-grade autonomous systems.
"When you think about the key challenges from any builder's perspective... we're trying to solve for how do you make AI more reliable?" - Ninad Naik
Watch more sessions from Crypto x AI Month here: https://delphidigital.io/crypto-ai
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Crypto x AI Month is the largest virtual event dedicated to the intersection of crypto and AI, featuring 40+ top builders, investors, and practitioners. Over the course of three weeks, this event brings together panels, debates, and discussions with the brightest minds in the space, presented by Delphi Digital.
Crypto x AI Month is free and open to everyone thanks to the support from our sponsors:
https://olas.network/
https://venice.ai/
https://near.org/
https://mira.foundation/
https://www.theoriq.ai/
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Follow the Speakers:
- Anil Lulla on Twitter/X ► https://x.com/anildelphi
- Ninad Naik on Twitter/X ► https://x.com/_ninadn
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Chapters
0:00 Sponsor introduction: OLAS and other sponsors
0:50 Introduction with Anil Lulla from Delphi Digital
2:21 Ninad's background: Experience at Amazon and Uber
3:30 Current state of AI and its challenges
7:21 Core issues with AI reliability
9:15 Approaches to reducing AI error rates
13:10 Discussion of latency challenges and batch processing
17:56 Using crypto concepts for AI verification
20:44 Risks and challenges in crypto-AI integration
22:53 Go-to-market strategy and target sectors
24:49 Future of AI models: Foundation vs Fine-tuned
29:50 Handling subjective information verification
34:16 Model consensus and bias management
37:13 Partnerships and future outlook for Mira
40:11 Bridging Web2 and Web3 in AI
42:30 Crypto adoption challenges in AI industry
45:51 Discussion of Web2 demand confidence
46:48 Closing remarks and how to follow Mira
Disclaimer
All statements and/or opinions expressed in this interview are the personal opinions and responsibility of the respective guests, who may personally hold material positions in companies or assets mentioned or discussed. The content does not necessarily reflect the opinion of Delphi Research, which makes no representations or warranties of any kind in connection with the contained subject matter. This content is provided for informational purposes only and should not be misconstrued for investment advice or as a recommendation to purchase or sell any token or to use any protocol.
