Nick Saraev and Jack Roberts on Open Models and AI Policy

Stacked Podcast26m 49s
Nick Saraev and Jack Roberts flank the white and blue headline Open Models and Policy on black.
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    Nick Saraev and Jack Roberts discuss reported capabilities and efficiency of a new open-weight modelAn open-weight model makes its trained parameter values available so others can run or adapt it under the release's licence., along with tradeoffs in speed, verbosity and local hardware requirements. Their performance comparisons are presented as their impressions.

    The hosts argue against proposed restrictions on advanced AIGovernance is the system of rules, responsibilities and oversight that guides how an organization or society makes and enforces decisions. and consider jobs, geopolitical competition and individual ownership of computing. Their forecasts and political interpretations are opinions.

    In audience questions, they discuss running models on local hardwareA local model runs on computing infrastructure controlled directly by the user rather than only through a remote model service. and the value and limitations of AI systems.

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    Video topic coverage

    • Agents & workflows0
    • Coding & tools0
    • Models & learning93.8
    • Infrastructure & compute70.8
    • Research & evaluation0
    • Safety & security29.2
    • Business & productivity46.9
    • Creative & media0
    • Robotics & perception0
    • Society & policy100

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    Nick Saraev and Jack Roberts flank the white and blue headline Open Models and Policy on black. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 7 November 2026 and duration 26m 49s.

    The Stacked Podcast hosts discuss an open-weight model, local hardware and proposed AI restrictions.