Building Trust in AI with Crypto: Karan Sirdesai Joins Kenzi Wang on the Beacon Podcast

In a new episode of the Beacon Podcast: Web3 Unlocked, hosts Kenzi Wang, Sachi, and Diksha welcome Karan Sirdesai, co-founder of Mira, to discuss one of the biggest challenges in artificial intelligence today: reliability.

With over 3 million users already engaging with applications built on Mira’s infrastructure, Karan and his team are tackling AI hallucinations through a novel solution grounded in decentralization and blockchain-inspired consensus.

“AI is the tool. Crypto is the ideology,” Karan explains. “Together, they can power a future that’s more transparent and trustworthy.”

From Early Curiosity to Decentralized AI

Karan’s journey began with a strong belief in self-learning and a habit of choosing the road less traveled. After teaching himself to code, he cold-messaged Balaji Srinivasan as a student, later joining top-tier venture firm Accel. While working with startups at the frontier of AI, he noticed an emerging pattern. Many promising AI products failed to scale due to hallucinations and inconsistent outputs, especially in high-stakes environments like trading, health, and finance.

These failures weren’t due to bad models. They were a result of how AI systems function at scale. Probabilistic by nature, AI models cannot guarantee deterministic results across every use case. Karan and his co-founders realized that solving this issue required a system-level rethink. That led to the founding of Mira Network.

How Mira Works: Reducing Hallucinations Through Consensus

Mira takes inspiration from how blockchains verify transactions. Instead of relying on a single AI model to produce answers, Mira breaks outputs into verifiable claims, then runs them through multiple models such as GPT-4, Claude, and LLaMA. These models independently verify whether each claim is supported by source material, and the system only accepts results with consensus across validators.

This method has produced remarkable results. One of Mira’s clients, Deli Digital, previously struggled to launch an AI-powered research assistant due to a 30 percent hallucination rate. After integrating Mira, that error rate dropped to 1 percent, making the product viable for production.

Why Crypto Is a Necessary Layer for AI

In the podcast, Kenzi Wang challenges Karan on what makes Mira’s solution different from other decentralized AI efforts. Karan explains that hallucinations are not just bugs in the system, they are an intrinsic feature of how current models operate. Fixing them is not possible at the neural network level alone. Instead, a reliable AI future depends on systems that can verify outputs independently.

That is where Mira’s crypto-inspired design comes in. Just like blockchains rely on validators with economic skin in the game, Mira applies a similar principle to AI verification. Nodes that fail to validate properly incur penalties, creating an environment where trustworthy behavior is incentivized and traceable.

Listen Now. 

🎙️ Beacon Podcast: Web3 Unlocked
📍 Episode: Karan Sirdesai on Building Trustworthy AI with Mira
🎧 Hosted by Kenzi, Sachi, and Diksha

👉 Listen to the full episode here