We uncover phantom cities defined by riverine logic: buried systems (medieval rivers and culverted canals), drowned landscapes (post-glacial river basins now submerged), and canalized rivers forgotten in the city’s routine. From Perugia’s 13th-century aqueduct to London’s Lost Rivers and modern restoration efforts, archaeology, geophysics, and proactive urban design are reviving these invisible streams to inform resilient futures. Note: This podcast was AI-generated, and sometimes AI can mak...
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We uncover phantom cities defined by riverine logic: buried systems (medieval rivers and culverted canals), drowned landscapes (post-glacial river basins now submerged), and canalized rivers forgotten in the city’s routine. From Perugia’s 13th-century aqueduct to London’s Lost Rivers and modern restoration efforts, archaeology, geophysics, and proactive urban design are reviving these invisible streams to inform resilient futures. Note: This podcast was AI-generated, and sometimes AI can mak...
A deep dive into recursive language models (RLMs) that avoid the context bottleneck by keeping massive context in an external symbolic workspace. The root LLM acts as an active researcher and manager, writing and running code in a REPL to interrogate the context, delegating subtasks to sub-LLMs, and using tools like searches and regex to prune data. We explore how this context-centric decomposition enables long-horizon reasoning, review dramatic gains on the OolongPairs benchmark (moving from...
Intellectually Curious
We uncover phantom cities defined by riverine logic: buried systems (medieval rivers and culverted canals), drowned landscapes (post-glacial river basins now submerged), and canalized rivers forgotten in the city’s routine. From Perugia’s 13th-century aqueduct to London’s Lost Rivers and modern restoration efforts, archaeology, geophysics, and proactive urban design are reviving these invisible streams to inform resilient futures. Note: This podcast was AI-generated, and sometimes AI can mak...
