The Sequence newsletter argues useful AI models need task-matched timescales and output formats
AIThe Sequence's Issue #955 argues that AI models should match the timescale and output format of their work. It contrasts Meta's persistent agent, which remembers constraints and recovers from failed attempts, with TypeSafe and Liquid's models built for bounded decisions.
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The Sequence · Jesus Rodriguez · thesequence.substack.comPublished · added here
Original title: The Sequence Learning Loop - Issue #955: From Persistent Agents to Decision Models