undefined

Martin Köppelmann

Co-founder and CEO of Gnosis, a decentralized finance (DeFi) company. Advocates for native Layer 2 solutions for Ethereum scaling.

Top 3 podcasts with Martin Köppelmann

Ranked by the Snipd community
undefined
22 snips
Nov 26, 2024 • 1h 27min

What's the Best Way for Ethereum to Grow? Justin Drake and Martin Köppelmann Debate - Ep. 740

Justin Drake, a researcher at the Ethereum Foundation, and Martin Köppelmann, co-founder of Gnosis, dive into the evolution and challenges facing Ethereum. They debate the merits of native versus based rollups and discuss Ethereum's potential shift to maintenance mode. Justin shares his optimism for scaling pre-confirmations, while Martin critiques Ethereum's focus on developers. The conversation also tackles fragmentation issues and the implications for Ethereum's status in a landscape increasingly dominated by rivals like Solana.
undefined
Nov 19, 2024 • 39min

Are Layer 2s Failing Ethereum? A New Proposal Advocates for Native L2s - Ep. 736

Martin Köppelmann, co-founder and CEO of Gnosis, dives into the urgent need for native rollups to fix Ethereum's scalability woes. He critiques current layer 2 solutions, arguing they fall short on security and composability. His bold proposal includes 128 Ethereum-native rollups utilizing zero-knowledge proofs for enhanced privacy and speed. The conversation also tackles potential threats to existing L2s and whether the community is ready to embrace this transformative approach, all while ensuring that these innovations align with Ethereum's core principles.
undefined
Mar 26, 2024 • 1h 10min

#29 – Martin Köppelmann: AI agents as onchain actors

Martin Köppelmann, Cofounder of Gnosis, discusses AI agents as onchain actors, training with prediction markets, interconnected concepts between agents and prediction markets, and the emergence of prediction markets now. The podcast delves into the potential of AI agents on blockchain, including their role in economic activities, market complexities, and evolution of prediction market architecture with AI agents.