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Adam Gleave

Co-founder and CEO of FAR AI, an organization working across AI safety research, scalable engineering, and policy; focuses on defense-in-depth strategies, scalable oversight, and interpretability to manage risks from advanced AI systems.

Top 3 podcasts with Adam Gleave

Ranked by the Snipd community
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95 snips
Sep 20, 2025 • 1h 27min

Full-Stack AI Safety: Why Defense-in-Depth Might Work, with Far.AI CEO Adam Gleave

Adam Gleave, co-founder and CEO of FAR AI, discusses his organization's vital work in AI safety. He shares insights on the 'defense-in-depth' strategy to navigate potential risks from advanced AI systems. Gleave explores the future landscape post-AGI, emphasizing the complexities of achieving full autonomy. He highlights innovative approaches like using 'lie detectors' for AI deception detection and the importance of interpretability in AI planning. His cautious optimism underscores that meticulous planning and design can significantly enhance AI safety.
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17 snips
Mar 27, 2024 • 1h 44min

Exploitable by Default: Vulnerabilities in GPT-4 APIs and “Superhuman” Go AIs with Adam Gleave of Far.ai

In a captivating discussion, Adam Gleave, founder of Far AI and expert in AI exploitability, delves into the vulnerabilities of GPT-4 and superhuman Go AIs. He reveals how naive fine-tuning can create exploitable flaws, leading to serious cybersecurity risks. The conversation also touches on the ethical implications of disclosing these weaknesses and the critical need for robust safety measures in AI development. Gleave highlights the balance needed between enhancing AI performance and maintaining security, making for an enlightening exploration of AI's future challenges.
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12 snips
May 17, 2024 • 2h 16min

[Crosspost] Adam Gleave on Vulnerabilities in GPT-4 APIs (+ extra Nathan Labenz interview)

Adam Gleave from Far AI and Nathan Labenz discuss vulnerabilities in GPT-4's APIs, accidental jailbreaking during fine-tuning, malicious code generation, private email discovery risks, ethical AI disclosure dilemmas, and navigating the ethical landscape of open source models. They explore exploiting vulnerabilities in superhuman Go AIs, challenges with GPT-4, and the transformative potential of AI.

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