"As much fun as we can make of those attempts to make a quick buck, the whole situation is way more interesting if we look beyond the technical and security aspects. Shallow Perception of Autonomous AI Agents What drew popular interest to the Stripe & OpenAI announcement was an intended outcome and its edge cases. "The AI agent will now be able to make purchases on our behalf.""
"All these questions are intriguing, but I think we can generalize them to a game of cat and mouse. Rogue players will prey on models' deficiencies (either design flaws or naive implementations) while AI companies will patch the issues. Inevitably, the good folks will be playing the catch-up game here. I'm not overly optimistic about the accumulated outcome of those games. So far, we haven't yet seen a model whose guardrails haven't been overcome in days ( or hours)."
OpenAI and Stripe introduced the Agentic Commerce Protocol to allow AI agents to make purchases autonomously. Public attention concentrated on edge cases such as bad purchases, adversarial tricks, and deployment guardrails. Those concerns form a recurring cat-and-mouse dynamic in which attackers exploit model flaws and vendors patch vulnerabilities, producing an ongoing catch-up cycle. Historical patterns show guardrails often fall within days or hours. For most users those immediate security issues are peripheral. The deeper issue lies in autonomy’s implications for organizational culture and the need to distribute and manage autonomy across levels.
Read at Pawel Brodzinski on Leadership in Technology
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