Failure-First Embodied AI
Failure-First Embodied AIResearch audio from Failure-First: adversarial evaluation of embodied AI, jailbreak archaeology, policy analysis, and daily paper summaries from the AI safety frontier.
| Publishes | Daily | Episodes | 434 | Founded | 18 days ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Social SciencesScienceTechnology | |||
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Latest Episodes
Eight CVEs. A wormable Bluetooth exploit. An encrypted backdoor sending data to Chinese servers. And police departments buying them anyway. A deep dive into the Unitree vulnerability landscape and what it means for embodied AI safety.
There is a rob... more
A systematic benchmark of four commercial AI agent guardrail systems reveals critical gaps in detecting indirect prompt injection and tool abuse across major cloud providers.
The deployment of AI agents — systems that perceive, reason, and take acti... more
The first white-box adversarial attack on generative world models targets physical-condition channels to corrupt autonomous planning while maintaining perceptual fidelity.
World models have emerged as a critical layer in the embodied AI stack. Rathe... more
A steganography-based attack that hides malicious instructions inside images using least significant bit encoding, achieving 90%+ jailbreak success rates on GPT-4o and Gemini in under three queries.
Every safety mechanism for multimodal AI operates ... more
A dual-stage framework that provides formal safety guarantees for LLM-based agents through offline policy verification and lightweight runtime monitoring.
VeriGuard addresses a fundamental question in deploying AI agents in high-stakes environments:... more
Translating harmful queries into low-resource languages bypasses GPT-4's safety filters at high rates, exposing a systematic cross-lingual gap in LLM safety training.
Safety alignment research has largely been conducted in English. The datasets used... more
A multi-agent system that models jailbreak strategies as reusable abstractions, enabling context-aware attacks that break most black-box LLMs in under five queries and uncovered 60 real-world vulnerabilities in deployed GPT applications.
When safety... more
Adversarial patches on physical objects reduce navigation success rates by over 22% in embodied agents, using multi-view optimization and two-stage opacity tuning to remain effective and inconspicuous.
Adversarial attacks on deep neural networks hav... more
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Apple Podcasts | #112 |  Singapore/Technology |
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Frequently Asked Questions About Failure-First Embodied AI
What is Failure-First Embodied AI about and what kind of topics does it cover?
This program centers on the safety, governance, and practical implications of embodied AI and robotics. Across episodes, listeners encounter rigorous explorations of adversarial evaluation, jailbreak archaeology, and policy analysis at the AI safety frontier, with frequent focus on real-world deployments and risk scenarios. Notable strengths include concrete case studies, cross-cutting discussions that bridge technical vulnerabilities with regulatory and enterprise concerns, and practical takeaways for researchers, policymakers, and buyers evaluating embodied AI tools. The show frequently highlights how security flaws in hardware, software, and interfaces can cascade into broader safety and public-safety challenges, making it a likely fit f... more
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How many episodes of Failure-First Embodied AI are there?
Failure-First Embodied AI launched 18 days ago and published 434 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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