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Michael Brown

Former Manchester City midfielder offering tactical perspective and player-focused commentary drawing on professional playing experience.

Top 3 podcasts with Michael Brown

Ranked by the Snipd community
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49 snips
Nov 6, 2025 • 58min

Inside the 29.5 Million DARPA AI Cyber Challenge: How Autonomous Agents Find & Patch Vulns

Michael Brown, Principal Security Engineer at Trail of Bits and leader of the Buttercup project in DARPA's AI Cyber Challenge, shares insights into building autonomous AI systems for vulnerability detection. He reveals how Buttercup, despite its initial skepticism, impressed with high-quality patch generation thanks to a 'best of both worlds' approach combining AI with traditional methods. Michael also discusses the competition's unique challenges, the importance of robust engineering, and practical tips for applying AI in security tasks. The future of Buttercup aims at automatic bug fixes at scale for the open-source community.
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17 snips
Jan 8, 2026 • 36min

Can Semenyo help City catch Arsenal?

Join Manchester City correspondent Sam Lee and former midfielder Michael Brown as they dissect City's recent struggles, including a frustrating draw against Brighton. The duo explores Antoine Semenyo's potential impact, analyzing his fit in Pep Guardiola's dynamic plans. They also delve into City's transfer strategy, discussing financial implications and competition among players. With concerns over squad fatigue and defensive issues, can City rally to catch Arsenal in the title race? Tune in for insights from those who know the game best!
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5 snips
Aug 22, 2025 • 50min

A Conversation with Michael Brown About Designing AI Systems

Michael Brown, Principal Security Engineer at Trail of Bits, reveals the innovative design behind Buttercup, an AI-driven cybersecurity system that earned 2nd place in the AI Cyber Challenge. He discusses how blending deterministic systems with AI can outperform traditional methods. The conversation delves into the importance of modular architectures, risk management in AI pipelines, and the complexities of using large language models for security tasks. Brown also shares insights on the future of AI in cybersecurity and its potential applications.

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