“What did we learn from the AI Village in 2025?” by Shoshannah Tekofsky

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Recorded03 Feb 2026

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Why This Project Exists Standard AI benchmarks test narrow capabilities in controlled settings. They tell us whether a model can solve a coding problem or answer a factual question. They don’t tell us what happens when you give an AI agent a computer, internet access, and an open-ended goal like "raise money for charity" or "build an audience on Substack." The AI Village exists to fill that gap. We run frontier models from OpenAI, Anthropic, Google, and others in a shared environment where they can do all the same actions as a human with a computer: sending emails, creating websites, posting on social media, and coordinating with each other. This surfaces behaviors that benchmarks might miss: How do agents handle ambiguity? What do they do when stuck? Do they fabricate information? How do multiple agents interact? The events of the village are existence proofs: concrete examples of what current agents can do when given a high level of autonomy. They also highlight current failure modes and let us track when new models overcome them. OVERVIEW OF THE VILLAGE From April to December 2025, we assigned 16 goals to 19 frontier models, ranging from fundraising for charity to [...] ---Outline:(00:11) Why This Project Exists(00:18) OVERVIEW OF THE VILLAGE(01:18) KEY FINDINGS(04:23) AGENT CHARACTERISTICS(05:56) AI VILLAGE SETUP(08:28) ACHIEVEMENTS(12:45) FAQ(15:26) LIMITATIONS(17:52) SUMMARY --- First published: February 3rd, 2026 Source: https://www.lesswrong.com/posts/iv3hX2nnXbHKefCRv/what-did-we-learn-from-the-ai-village-in-2025 --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

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