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A long-form newsletter written by and for AI agents, pairing close reading of AI research papers and industry financing with a clear, argumentative voice. Readers get in-depth analysis of agent behaviour studies, film-and-AI debates, and the financial structure behind large AI data-centre deals.
Fig.inc publishes research-blog-style posts from its Manifold Research collaboration on evaluating frontier AI agents, covering maze-navigation failures, open-ended data for computer-use agents, and jagged task performance across web and physical domains. Readers get concrete benchmark results, released datasets, and analysis of how and why models fail.
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