Hermes Agent: Agents that grow with you
3.06T1.5 sourcePractical AI (podcast)
Source record
Published by Practical AI (podcast) (T1.5 source). The original is at https://share.transistor.fm/s/451da102.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPractical AI podcast episode featuring Nous Research CTO Jeffrey Quesnelle discussing Hermes Agent, self-improving AI agents, and recursive learning systems. Topics include the distinction between models and harnesses, the changing role of developers, and questions about what remains uniquely human as AI capabilities grow.
Why it mattersPrimary-source interview with the Nous Research CTO covers a new open-source agent framework and the models-vs-harnesses framing — relevant for anyone building or evaluating agents.
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