Episode 1: How AI Agents Fail
- Jerry Overton
- 6 hours ago
- 1 min read
Overview
AI is moving fast—but safety isn’t keeping up. This opening episode dives into the real gap between what AI agents can do and what they should be allowed to do. We walk through the current state of AI safety, highlight the failures exposed in the 2025 AI Safety Index, and lay out why real-time ethical reasoning must become a first-class system function—not an afterthought.
Key Takeaways
The Safety Deficit: Leading AI systems are being scaled without embedded real-time ethical reasoning or decision oversight.
The AI Safety Index (2025): All seven major companies scored poorly. None passed existential safety or real-time decision safety metrics.
Why It Matters: Agents make decisions that affect real people, systems, and outcomes. A final-output filter isn’t enough. The system needs in-process reasoning checks to be safe by design.
Call to Action: Safety isn’t a bolt-on—it’s a design constraint. The only path forward is to architect for interruption, evaluation, and ethical adaptation from the inside.
Note: All voices in this podcast are AI-generated. No human actors were used.
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