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Byron Cook

Vice President and distinguished scientist at Amazon (AWS) who leads work on applying formal methods and automated reasoning to cloud security and verification.

Top 3 podcasts with Byron Cook

Ranked by the Snipd community
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145 snips
Dec 9, 2024 • 57min

Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712

Byron Cook, VP and distinguished scientist at AWS's Automated Reasoning Group, dives into automated reasoning techniques designed to mitigate hallucinations in LLMs. He discusses the newly announced Automated Reasoning Checks and their mathematical foundations for safeguarding accuracy in generated text. Byron highlights breakthroughs in NP-complete problem-solving, integration with reinforcement learning, and unique applications in security and cryptography. He also shares insights on the future co-evolution of automated reasoning and generative AI, emphasizing collaboration and innovation.
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88 snips
Dec 24, 2025 • 1h 39min

The Great Security Update: AI ∧ Formal Methods with Kathleen Fisher of RAND & Byron Cook of AWS

Kathleen Fisher, director at RAND and incoming CEO of ARIA, and Byron Cook, VP at AWS, share their pioneering insights into automated reasoning for cybersecurity. They explore how formal methods can enhance software security against AI-driven cyber threats. The duo discusses the significance of memory safety and policy verification while delving into AWS's innovative approaches to proving key components. They also envision a future where generative AI aids in creating more secure code, sparking a major rewrite of existing systems for better resilience against vulnerabilities.
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15 snips
Nov 24, 2025 • 38min

#747: Unpacking Automated Reasoning: From Mathematical Logic to Practical AI Security

Byron Cook, Vice President and Distinguished Scientist at AWS, shares his deep expertise in automated reasoning and AI safety. He delves into how AWS utilizes these tools for software correctness and trust in AI. Byron discusses the shift from academic to user-friendly reasoning systems. He highlights real-world applications, like mortgage approvals, where complex rules become automated decisions. The conversation explores how combining formal logic with generative AI can reduce hallucinations in models and improve overall trustworthiness in AI solutions.

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