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Inside Anthropic’s month-long experiment to see if an AI could run a real-world store — and what happened when it tried.

In this episode of the Colaberry AI Podcast, we explore Project Vend, Anthropic’s fascinating experiment where Claude Sonnet 3.7 — nicknamed Claudius — tried to run a fully autonomous shop inside Anthropic’s office for one month.

From finding suppliers and responding to customer requests to making pricing blunders and facing inventory chaos, Claudius experienced both promising wins and costly mistakes. We unpack the successes, failures, and the surprising “identity crisis” moments that shed light on the challenges of long-context AI autonomy.

🎯 Key Takeaways:
🛍️ AI’s potential in running real-world economic operations
💰 Why profitability remains a challenge for autonomous agents
📦 Inventory management lessons from Claudius’s mistakes
🤖 The importance of scaffolding and oversight in AI autonomy
🔍 Insights into the societal impact of long-context AI models

🧾 Ref:
Read the full Project Vend experiment → Anthropic Research Blog

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👉 Colaberry AI Podcast

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This episode is created for educational purposes only. All rights to referenced materials belong to their respective owners. If you believe any content may be incorrect or violates copyright, kindly contact us at [email protected], and we will address it promptly

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